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Research Article

Twenty years of gender equality research: A scoping review based on a new semantic indicator

Contributed equally to this work with: Paola Belingheri, Filippo Chiarello, Andrea Fronzetti Colladon, Paola Rovelli

Roles Conceptualization, Formal analysis, Funding acquisition, Visualization, Writing – original draft, Writing – review & editing

Affiliation Dipartimento di Ingegneria dell’Energia, dei Sistemi, del Territorio e delle Costruzioni, Università degli Studi di Pisa, Largo L. Lazzarino, Pisa, Italy

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Visualization, Writing – original draft, Writing – review & editing

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

* E-mail: [email protected]

Affiliations Department of Engineering, University of Perugia, Perugia, Italy, Department of Management, Kozminski University, Warsaw, Poland

Roles Conceptualization, Formal analysis, Funding acquisition, Writing – original draft, Writing – review & editing

Affiliation Faculty of Economics and Management, Centre for Family Business Management, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy

• Paola Belingheri, 
• Filippo Chiarello, 
• Andrea Fronzetti Colladon, 
• Paola Rovelli

• Published: September 21, 2021
• https://doi.org/10.1371/journal.pone.0256474
• Reader Comments

9 Nov 2021: The PLOS ONE Staff (2021) Correction: Twenty years of gender equality research: A scoping review based on a new semantic indicator. PLOS ONE 16(11): e0259930. https://doi.org/10.1371/journal.pone.0259930 View correction

Gender equality is a major problem that places women at a disadvantage thereby stymieing economic growth and societal advancement. In the last two decades, extensive research has been conducted on gender related issues, studying both their antecedents and consequences. However, existing literature reviews fail to provide a comprehensive and clear picture of what has been studied so far, which could guide scholars in their future research. Our paper offers a scoping review of a large portion of the research that has been published over the last 22 years, on gender equality and related issues, with a specific focus on business and economics studies. Combining innovative methods drawn from both network analysis and text mining, we provide a synthesis of 15,465 scientific articles. We identify 27 main research topics, we measure their relevance from a semantic point of view and the relationships among them, highlighting the importance of each topic in the overall gender discourse. We find that prominent research topics mostly relate to women in the workforce–e.g., concerning compensation, role, education, decision-making and career progression. However, some of them are losing momentum, and some other research trends–for example related to female entrepreneurship, leadership and participation in the board of directors–are on the rise. Besides introducing a novel methodology to review broad literature streams, our paper offers a map of the main gender-research trends and presents the most popular and the emerging themes, as well as their intersections, outlining important avenues for future research.

Citation: Belingheri P, Chiarello F, Fronzetti Colladon A, Rovelli P (2021) Twenty years of gender equality research: A scoping review based on a new semantic indicator. PLoS ONE 16(9): e0256474. https://doi.org/10.1371/journal.pone.0256474

Editor: Elisa Ughetto, Politecnico di Torino, ITALY

Received: June 25, 2021; Accepted: August 6, 2021; Published: September 21, 2021

Copyright: © 2021 Belingheri et al. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are within the manuscript and its supporting information files. The only exception is the text of the abstracts (over 15,000) that we have downloaded from Scopus. These abstracts can be retrieved from Scopus, but we do not have permission to redistribute them.

Funding: P.B and F.C.: Grant of the Department of Energy, Systems, Territory and Construction of the University of Pisa (DESTEC) for the project “Measuring Gender Bias with Semantic Analysis: The Development of an Assessment Tool and its Application in the European Space Industry. P.B., F.C., A.F.C., P.R.: Grant of the Italian Association of Management Engineering (AiIG), “Misure di sostegno ai soci giovani AiIG” 2020, for the project “Gender Equality Through Data Intelligence (GEDI)”. F.C.: EU project ASSETs+ Project (Alliance for Strategic Skills addressing Emerging Technologies in Defence) EAC/A03/2018 - Erasmus+ programme, Sector Skills Alliances, Lot 3: Sector Skills Alliance for implementing a new strategic approach (Blueprint) to sectoral cooperation on skills G.A. NUMBER: 612678-EPP-1-2019-1-IT-EPPKA2-SSA-B.

Competing interests: The authors have declared that no competing interests exist.

Introduction

The persistent gender inequalities that currently exist across the developed and developing world are receiving increasing attention from economists, policymakers, and the general public [e.g., 1 – 3 ]. Economic studies have indicated that women’s education and entry into the workforce contributes to social and economic well-being [e.g., 4 , 5 ], while their exclusion from the labor market and from managerial positions has an impact on overall labor productivity and income per capita [ 6 , 7 ]. The United Nations selected gender equality, with an emphasis on female education, as part of the Millennium Development Goals [ 8 ], and gender equality at-large as one of the 17 Sustainable Development Goals (SDGs) to be achieved by 2030 [ 9 ]. These latter objectives involve not only developing nations, but rather all countries, to achieve economic, social and environmental well-being.

As is the case with many SDGs, gender equality is still far from being achieved and persists across education, access to opportunities, or presence in decision-making positions [ 7 , 10 , 11 ]. As we enter the last decade for the SDGs’ implementation, and while we are battling a global health pandemic, effective and efficient action becomes paramount to reach this ambitious goal.

Scholars have dedicated a massive effort towards understanding gender equality, its determinants, its consequences for women and society, and the appropriate actions and policies to advance women’s equality. Many topics have been covered, ranging from women’s education and human capital [ 12 , 13 ] and their role in society [e.g., 14 , 15 ], to their appointment in firms’ top ranked positions [e.g., 16 , 17 ] and performance implications [e.g., 18 , 19 ]. Despite some attempts, extant literature reviews provide a narrow view on these issues, restricted to specific topics–e.g., female students’ presence in STEM fields [ 20 ], educational gender inequality [ 5 ], the gender pay gap [ 21 ], the glass ceiling effect [ 22 ], leadership [ 23 ], entrepreneurship [ 24 ], women’s presence on the board of directors [ 25 , 26 ], diversity management [ 27 ], gender stereotypes in advertisement [ 28 ], or specific professions [ 29 ]. A comprehensive view on gender-related research, taking stock of key findings and under-studied topics is thus lacking.

Extant literature has also highlighted that gender issues, and their economic and social ramifications, are complex topics that involve a large number of possible antecedents and outcomes [ 7 ]. Indeed, gender equality actions are most effective when implemented in unison with other SDGs (e.g., with SDG 8, see [ 30 ]) in a synergetic perspective [ 10 ]. Many bodies of literature (e.g., business, economics, development studies, sociology and psychology) approach the problem of achieving gender equality from different perspectives–often addressing specific and narrow aspects. This sometimes leads to a lack of clarity about how different issues, circumstances, and solutions may be related in precipitating or mitigating gender inequality or its effects. As the number of papers grows at an increasing pace, this issue is exacerbated and there is a need to step back and survey the body of gender equality literature as a whole. There is also a need to examine synergies between different topics and approaches, as well as gaps in our understanding of how different problems and solutions work together. Considering the important topic of women’s economic and social empowerment, this paper aims to fill this gap by answering the following research question: what are the most relevant findings in the literature on gender equality and how do they relate to each other ?

To do so, we conduct a scoping review [ 31 ], providing a synthesis of 15,465 articles dealing with gender equity related issues published in the last twenty-two years, covering both the periods of the MDGs and the SDGs (i.e., 2000 to mid 2021) in all the journals indexed in the Academic Journal Guide’s 2018 ranking of business and economics journals. Given the huge amount of research conducted on the topic, we adopt an innovative methodology, which relies on social network analysis and text mining. These techniques are increasingly adopted when surveying large bodies of text. Recently, they were applied to perform analysis of online gender communication differences [ 32 ] and gender behaviors in online technology communities [ 33 ], to identify and classify sexual harassment instances in academia [ 34 ], and to evaluate the gender inclusivity of disaster management policies [ 35 ].

Applied to the title, abstracts and keywords of the articles in our sample, this methodology allows us to identify a set of 27 recurrent topics within which we automatically classify the papers. Introducing additional novelty, by means of the Semantic Brand Score (SBS) indicator [ 36 ] and the SBS BI app [ 37 ], we assess the importance of each topic in the overall gender equality discourse and its relationships with the other topics, as well as trends over time, with a more accurate description than that offered by traditional literature reviews relying solely on the number of papers presented in each topic.

This methodology, applied to gender equality research spanning the past twenty-two years, enables two key contributions. First, we extract the main message that each document is conveying and how this is connected to other themes in literature, providing a rich picture of the topics that are at the center of the discourse, as well as of the emerging topics. Second, by examining the semantic relationship between topics and how tightly their discourses are linked, we can identify the key relationships and connections between different topics. This semi-automatic methodology is also highly reproducible with minimum effort.

This literature review is organized as follows. In the next section, we present how we selected relevant papers and how we analyzed them through text mining and social network analysis. We then illustrate the importance of 27 selected research topics, measured by means of the SBS indicator. In the results section, we present an overview of the literature based on the SBS results–followed by an in-depth narrative analysis of the top 10 topics (i.e., those with the highest SBS) and their connections. Subsequently, we highlight a series of under-studied connections between the topics where there is potential for future research. Through this analysis, we build a map of the main gender-research trends in the last twenty-two years–presenting the most popular themes. We conclude by highlighting key areas on which research should focused in the future.

Our aim is to map a broad topic, gender equality research, that has been approached through a host of different angles and through different disciplines. Scoping reviews are the most appropriate as they provide the freedom to map different themes and identify literature gaps, thereby guiding the recommendation of new research agendas [ 38 ].

Several practical approaches have been proposed to identify and assess the underlying topics of a specific field using big data [ 39 – 41 ], but many of them fail without proper paper retrieval and text preprocessing. This is specifically true for a research field such as the gender-related one, which comprises the work of scholars from different backgrounds. In this section, we illustrate a novel approach for the analysis of scientific (gender-related) papers that relies on methods and tools of social network analysis and text mining. Our procedure has four main steps: (1) data collection, (2) text preprocessing, (3) keywords extraction and classification, and (4) evaluation of semantic importance and image.

Data collection

In this study, we analyze 22 years of literature on gender-related research. Following established practice for scoping reviews [ 42 ], our data collection consisted of two main steps, which we summarize here below.

Firstly, we retrieved from the Scopus database all the articles written in English that contained the term “gender” in their title, abstract or keywords and were published in a journal listed in the Academic Journal Guide 2018 ranking of the Chartered Association of Business Schools (CABS) ( https://charteredabs.org/wp-content/uploads/2018/03/AJG2018-Methodology.pdf ), considering the time period from Jan 2000 to May 2021. We used this information considering that abstracts, titles and keywords represent the most informative part of a paper, while using the full-text would increase the signal-to-noise ratio for information extraction. Indeed, these textual elements already demonstrated to be reliable sources of information for the task of domain lexicon extraction [ 43 , 44 ]. We chose Scopus as source of literature because of its popularity, its update rate, and because it offers an API to ease the querying process. Indeed, while it does not allow to retrieve the full text of scientific articles, the Scopus API offers access to titles, abstracts, citation information and metadata for all its indexed scholarly journals. Moreover, we decided to focus on the journals listed in the AJG 2018 ranking because we were interested in reviewing business and economics related gender studies only. The AJG is indeed widely used by universities and business schools as a reference point for journal and research rigor and quality. This first step, executed in June 2021, returned more than 55,000 papers.

In the second step–because a look at the papers showed very sparse results, many of which were not in line with the topic of this literature review (e.g., papers dealing with health care or medical issues, where the word gender indicates the gender of the patients)–we applied further inclusion criteria to make the sample more focused on the topic of this literature review (i.e., women’s gender equality issues). Specifically, we only retained those papers mentioning, in their title and/or abstract, both gender-related keywords (e.g., daughter, female, mother) and keywords referring to bias and equality issues (e.g., equality, bias, diversity, inclusion). After text pre-processing (see next section), keywords were first identified from a frequency-weighted list of words found in the titles, abstracts and keywords in the initial list of papers, extracted through text mining (following the same approach as [ 43 ]). They were selected by two of the co-authors independently, following respectively a bottom up and a top-down approach. The bottom-up approach consisted of examining the words found in the frequency-weighted list and classifying those related to gender and equality. The top-down approach consisted in searching in the word list for notable gender and equality-related words. Table 1 reports the sets of keywords we considered, together with some examples of words that were used to search for their presence in the dataset (a full list is provided in the S1 Text ). At end of this second step, we obtained a final sample of 15,465 relevant papers.

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https://doi.org/10.1371/journal.pone.0256474.t001

Text processing and keyword extraction

Text preprocessing aims at structuring text into a form that can be analyzed by statistical models. In the present section, we describe the preprocessing steps we applied to paper titles and abstracts, which, as explained below, partially follow a standard text preprocessing pipeline [ 45 ]. These activities have been performed using the R package udpipe [ 46 ].

The first step is n-gram extraction (i.e., a sequence of words from a given text sample) to identify which n-grams are important in the analysis, since domain-specific lexicons are often composed by bi-grams and tri-grams [ 47 ]. Multi-word extraction is usually implemented with statistics and linguistic rules, thus using the statistical properties of n-grams or machine learning approaches [ 48 ]. However, for the present paper, we used Scopus metadata in order to have a more effective and efficient n-grams collection approach [ 49 ]. We used the keywords of each paper in order to tag n-grams with their associated keywords automatically. Using this greedy approach, it was possible to collect all the keywords listed by the authors of the papers. From this list, we extracted only keywords composed by two, three and four words, we removed all the acronyms and rare keywords (i.e., appearing in less than 1% of papers), and we clustered keywords showing a high orthographic similarity–measured using a Levenshtein distance [ 50 ] lower than 2, considering these groups of keywords as representing same concepts, but expressed with different spelling. After tagging the n-grams in the abstracts, we followed a common data preparation pipeline that consists of the following steps: (i) tokenization, that splits the text into tokens (i.e., single words and previously tagged multi-words); (ii) removal of stop-words (i.e. those words that add little meaning to the text, usually being very common and short functional words–such as “and”, “or”, or “of”); (iii) parts-of-speech tagging, that is providing information concerning the morphological role of a word and its morphosyntactic context (e.g., if the token is a determiner, the next token is a noun or an adjective with very high confidence, [ 51 ]); and (iv) lemmatization, which consists in substituting each word with its dictionary form (or lemma). The output of the latter step allows grouping together the inflected forms of a word. For example, the verbs “am”, “are”, and “is” have the shared lemma “be”, or the nouns “cat” and “cats” both share the lemma “cat”. We preferred lemmatization over stemming [ 52 ] in order to obtain more interpretable results.

In addition, we identified a further set of keywords (with respect to those listed in the “keywords” field) by applying a series of automatic words unification and removal steps, as suggested in past research [ 53 , 54 ]. We removed: sparse terms (i.e., occurring in less than 0.1% of all documents), common terms (i.e., occurring in more than 10% of all documents) and retained only nouns and adjectives. It is relevant to notice that no document was lost due to these steps. We then used the TF-IDF function [ 55 ] to produce a new list of keywords. We additionally tested other approaches for the identification and clustering of keywords–such as TextRank [ 56 ] or Latent Dirichlet Allocation [ 57 ]–without obtaining more informative results.

Classification of research topics

To guide the literature analysis, two experts met regularly to examine the sample of collected papers and to identify the main topics and trends in gender research. Initially, they conducted brainstorming sessions on the topics they expected to find, due to their knowledge of the literature. This led to an initial list of topics. Subsequently, the experts worked independently, also supported by the keywords in paper titles and abstracts extracted with the procedure described above.

Considering all this information, each expert identified and clustered relevant keywords into topics. At the end of the process, the two assignments were compared and exhibited a 92% agreement. Another meeting was held to discuss discordant cases and reach a consensus. This resulted in a list of 27 topics, briefly introduced in Table 2 and subsequently detailed in the following sections.

https://doi.org/10.1371/journal.pone.0256474.t002

Evaluation of semantic importance

Working on the lemmatized corpus of the 15,465 papers included in our sample, we proceeded with the evaluation of semantic importance trends for each topic and with the analysis of their connections and prevalent textual associations. To this aim, we used the Semantic Brand Score indicator [ 36 ], calculated through the SBS BI webapp [ 37 ] that also produced a brand image report for each topic. For this study we relied on the computing resources of the ENEA/CRESCO infrastructure [ 58 ].

The Semantic Brand Score (SBS) is a measure of semantic importance that combines methods of social network analysis and text mining. It is usually applied for the analysis of (big) textual data to evaluate the importance of one or more brands, names, words, or sets of keywords [ 36 ]. Indeed, the concept of “brand” is intended in a flexible way and goes beyond products or commercial brands. In this study, we evaluate the SBS time-trends of the keywords defining the research topics discussed in the previous section. Semantic importance comprises the three dimensions of topic prevalence, diversity and connectivity. Prevalence measures how frequently a research topic is used in the discourse. The more a topic is mentioned by scientific articles, the more the research community will be aware of it, with possible increase of future studies; this construct is partly related to that of brand awareness [ 59 ]. This effect is even stronger, considering that we are analyzing the title, abstract and keywords of the papers, i.e. the parts that have the highest visibility. A very important characteristic of the SBS is that it considers the relationships among words in a text. Topic importance is not just a matter of how frequently a topic is mentioned, but also of the associations a topic has in the text. Specifically, texts are transformed into networks of co-occurring words, and relationships are studied through social network analysis [ 60 ]. This step is necessary to calculate the other two dimensions of our semantic importance indicator. Accordingly, a social network of words is generated for each time period considered in the analysis–i.e., a graph made of n nodes (words) and E edges weighted by co-occurrence frequency, with W being the set of edge weights. The keywords representing each topic were clustered into single nodes.

The construct of diversity relates to that of brand image [ 59 ], in the sense that it considers the richness and distinctiveness of textual (topic) associations. Considering the above-mentioned networks, we calculated diversity using the distinctiveness centrality metric–as in the formula presented by Fronzetti Colladon and Naldi [ 61 ].

Lastly, connectivity was measured as the weighted betweenness centrality [ 62 , 63 ] of each research topic node. We used the formula presented by Wasserman and Faust [ 60 ]. The dimension of connectivity represents the “brokerage power” of each research topic–i.e., how much it can serve as a bridge to connect other terms (and ultimately topics) in the discourse [ 36 ].

The SBS is the final composite indicator obtained by summing the standardized scores of prevalence, diversity and connectivity. Standardization was carried out considering all the words in the corpus, for each specific timeframe.

This methodology, applied to a large and heterogeneous body of text, enables to automatically identify two important sets of information that add value to the literature review. Firstly, the relevance of each topic in literature is measured through a composite indicator of semantic importance, rather than simply looking at word frequencies. This provides a much richer picture of the topics that are at the center of the discourse, as well as of the topics that are emerging in the literature. Secondly, it enables to examine the extent of the semantic relationship between topics, looking at how tightly their discourses are linked. In a field such as gender equality, where many topics are closely linked to each other and present overlaps in issues and solutions, this methodology offers a novel perspective with respect to traditional literature reviews. In addition, it ensures reproducibility over time and the possibility to semi-automatically update the analysis, as new papers become available.

Overview of main topics

In terms of descriptive textual statistics, our corpus is made of 15,465 text documents, consisting of a total of 2,685,893 lemmatized tokens (words) and 32,279 types. As a result, the type-token ratio is 1.2%. The number of hapaxes is 12,141, with a hapax-token ratio of 37.61%.

Fig 1 shows the list of 27 topics by decreasing SBS. The most researched topic is compensation , exceeding all others in prevalence, diversity, and connectivity. This means it is not only mentioned more often than other topics, but it is also connected to a greater number of other topics and is central to the discourse on gender equality. The next four topics are, in order of SBS, role , education , decision-making , and career progression . These topics, except for education , all concern women in the workforce. Between these first five topics and the following ones there is a clear drop in SBS scores. In particular, the topics that follow have a lower connectivity than the first five. They are hiring , performance , behavior , organization , and human capital . Again, except for behavior and human capital , the other three topics are purely related to women in the workforce. After another drop-off, the following topics deal prevalently with women in society. This trend highlights that research on gender in business journals has so far mainly paid attention to the conditions that women experience in business contexts, while also devoting some attention to women in society.

https://doi.org/10.1371/journal.pone.0256474.g001

Fig 2 shows the SBS time series of the top 10 topics. While there has been a general increase in the number of Scopus-indexed publications in the last decade, we notice that some SBS trends remain steady, or even decrease. In particular, we observe that the main topic of the last twenty-two years, compensation , is losing momentum. Since 2016, it has been surpassed by decision-making , education and role , which may indicate that literature is increasingly attempting to identify root causes of compensation inequalities. Moreover, in the last two years, the topics of hiring , performance , and organization are experiencing the largest importance increase.

https://doi.org/10.1371/journal.pone.0256474.g002

Fig 3 shows the SBS time trends of the remaining 17 topics (i.e., those not in the top 10). As we can see from the graph, there are some that maintain a steady trend–such as reputation , management , networks and governance , which also seem to have little importance. More relevant topics with average stationary trends (except for the last two years) are culture , family , and parenting . The feminine topic is among the most important here, and one of those that exhibit the larger variations over time (similarly to leadership ). On the other hand, the are some topics that, even if not among the most important, show increasing SBS trends; therefore, they could be considered as emerging topics and could become popular in the near future. These are entrepreneurship , leadership , board of directors , and sustainability . These emerging topics are also interesting to anticipate future trends in gender equality research that are conducive to overall equality in society.

https://doi.org/10.1371/journal.pone.0256474.g003

In addition to the SBS score of the different topics, the network of terms they are associated to enables to gauge the extent to which their images (textual associations) overlap or differ ( Fig 4 ).

https://doi.org/10.1371/journal.pone.0256474.g004

There is a central cluster of topics with high similarity, which are all connected with women in the workforce. The cluster includes topics such as organization , decision-making , performance , hiring , human capital , education and compensation . In addition, the topic of well-being is found within this cluster, suggesting that women’s equality in the workforce is associated to well-being considerations. The emerging topics of entrepreneurship and leadership are also closely connected with each other, possibly implying that leadership is a much-researched quality in female entrepreneurship. Topics that are relatively more distant include personality , politics , feminine , empowerment , management , board of directors , reputation , governance , parenting , masculine and network .

The following sections describe the top 10 topics and their main associations in literature (see Table 3 ), while providing a brief overview of the emerging topics.

https://doi.org/10.1371/journal.pone.0256474.t003

Compensation.

The topic of compensation is related to the topics of role , hiring , education and career progression , however, also sees a very high association with the words gap and inequality . Indeed, a well-known debate in degrowth economics centers around whether and how to adequately compensate women for their childbearing, childrearing, caregiver and household work [e.g., 30 ].

Even in paid work, women continue being offered lower compensations than their male counterparts who have the same job or cover the same role [ 64 – 67 ]. This severe inequality has been widely studied by scholars over the last twenty-two years. Dealing with this topic, some specific roles have been addressed. Specifically, research highlighted differences in compensation between female and male CEOs [e.g., 68 ], top executives [e.g., 69 ], and boards’ directors [e.g., 70 ]. Scholars investigated the determinants of these gaps, such as the gender composition of the board [e.g., 71 – 73 ] or women’s individual characteristics [e.g., 71 , 74 ].

Among these individual characteristics, education plays a relevant role [ 75 ]. Education is indeed presented as the solution for women, not only to achieve top executive roles, but also to reduce wage inequality [e.g., 76 , 77 ]. Past research has highlighted education influences on gender wage gaps, specifically referring to gender differences in skills [e.g., 78 ], college majors [e.g., 79 ], and college selectivity [e.g., 80 ].

Finally, the wage gap issue is strictly interrelated with hiring –e.g., looking at whether being a mother affects hiring and compensation [e.g., 65 , 81 ] or relating compensation to unemployment [e.g., 82 ]–and career progression –for instance looking at meritocracy [ 83 , 84 ] or the characteristics of the boss for whom women work [e.g., 85 ].

The roles covered by women have been deeply investigated. Scholars have focused on the role of women in their families and the society as a whole [e.g., 14 , 15 ], and, more widely, in business contexts [e.g., 18 , 81 ]. Indeed, despite still lagging behind their male counterparts [e.g., 86 , 87 ], in the last decade there has been an increase in top ranked positions achieved by women [e.g., 88 , 89 ]. Following this phenomenon, scholars have posed greater attention towards the presence of women in the board of directors [e.g., 16 , 18 , 90 , 91 ], given the increasing pressure to appoint female directors that firms, especially listed ones, have experienced. Other scholars have focused on the presence of women covering the role of CEO [e.g., 17 , 92 ] or being part of the top management team [e.g., 93 ]. Irrespectively of the level of analysis, all these studies tried to uncover the antecedents of women’s presence among top managers [e.g., 92 , 94 ] and the consequences of having a them involved in the firm’s decision-making –e.g., on performance [e.g., 19 , 95 , 96 ], risk [e.g., 97 , 98 ], and corporate social responsibility [e.g., 99 , 100 ].

Besides studying the difficulties and discriminations faced by women in getting a job [ 81 , 101 ], and, more specifically in the hiring , appointment, or career progression to these apical roles [e.g., 70 , 83 ], the majority of research of women’s roles dealt with compensation issues. Specifically, scholars highlight the pay-gap that still exists between women and men, both in general [e.g., 64 , 65 ], as well as referring to boards’ directors [e.g., 70 , 102 ], CEOs and executives [e.g., 69 , 103 , 104 ].

Finally, other scholars focused on the behavior of women when dealing with business. In this sense, particular attention has been paid to leadership and entrepreneurial behaviors. The former quite overlaps with dealing with the roles mentioned above, but also includes aspects such as leaders being stereotyped as masculine [e.g., 105 ], the need for greater exposure to female leaders to reduce biases [e.g., 106 ], or female leaders acting as queen bees [e.g., 107 ]. Regarding entrepreneurship , scholars mainly investigated women’s entrepreneurial entry [e.g., 108 , 109 ], differences between female and male entrepreneurs in the evaluations and funding received from investors [e.g., 110 , 111 ], and their performance gap [e.g., 112 , 113 ].

Education has long been recognized as key to social advancement and economic stability [ 114 ], for job progression and also a barrier to gender equality, especially in STEM-related fields. Research on education and gender equality is mostly linked with the topics of compensation , human capital , career progression , hiring , parenting and decision-making .

Education contributes to a higher human capital [ 115 ] and constitutes an investment on the part of women towards their future. In this context, literature points to the gender gap in educational attainment, and the consequences for women from a social, economic, personal and professional standpoint. Women are found to have less access to formal education and information, especially in emerging countries, which in turn may cause them to lose social and economic opportunities [e.g., 12 , 116 – 119 ]. Education in local and rural communities is also paramount to communicate the benefits of female empowerment , contributing to overall societal well-being [e.g., 120 ].

Once women access education, the image they have of the world and their place in society (i.e., habitus) affects their education performance [ 13 ] and is passed on to their children. These situations reinforce gender stereotypes, which become self-fulfilling prophecies that may negatively affect female students’ performance by lowering their confidence and heightening their anxiety [ 121 , 122 ]. Besides formal education, also the information that women are exposed to on a daily basis contributes to their human capital . Digital inequalities, for instance, stems from men spending more time online and acquiring higher digital skills than women [ 123 ].

Education is also a factor that should boost employability of candidates and thus hiring , career progression and compensation , however the relationship between these factors is not straightforward [ 115 ]. First, educational choices ( decision-making ) are influenced by variables such as self-efficacy and the presence of barriers, irrespectively of the career opportunities they offer, especially in STEM [ 124 ]. This brings additional difficulties to women’s enrollment and persistence in scientific and technical fields of study due to stereotypes and biases [ 125 , 126 ]. Moreover, access to education does not automatically translate into job opportunities for women and minority groups [ 127 , 128 ] or into female access to managerial positions [ 129 ].

Finally, parenting is reported as an antecedent of education [e.g., 130 ], with much of the literature focusing on the role of parents’ education on the opportunities afforded to children to enroll in education [ 131 – 134 ] and the role of parenting in their offspring’s perception of study fields and attitudes towards learning [ 135 – 138 ]. Parental education is also a predictor of the other related topics, namely human capital and compensation [ 139 ].

Decision-making.

This literature mainly points to the fact that women are thought to make decisions differently than men. Women have indeed different priorities, such as they care more about people’s well-being, working with people or helping others, rather than maximizing their personal (or their firm’s) gain [ 140 ]. In other words, women typically present more communal than agentic behaviors, which are instead more frequent among men [ 141 ]. These different attitude, behavior and preferences in turn affect the decisions they make [e.g., 142 ] and the decision-making of the firm in which they work [e.g., 143 ].

At the individual level, gender affects, for instance, career aspirations [e.g., 144 ] and choices [e.g., 142 , 145 ], or the decision of creating a venture [e.g., 108 , 109 , 146 ]. Moreover, in everyday life, women and men make different decisions regarding partners [e.g., 147 ], childcare [e.g., 148 ], education [e.g., 149 ], attention to the environment [e.g., 150 ] and politics [e.g., 151 ].

At the firm level, scholars highlighted, for example, how the presence of women in the board affects corporate decisions [e.g., 152 , 153 ], that female CEOs are more conservative in accounting decisions [e.g., 154 ], or that female CFOs tend to make more conservative decisions regarding the firm’s financial reporting [e.g., 155 ]. Nevertheless, firm level research also investigated decisions that, influenced by gender bias, affect women, such as those pertaining hiring [e.g., 156 , 157 ], compensation [e.g., 73 , 158 ], or the empowerment of women once appointed [ 159 ].

Career progression.

Once women have entered the workforce, the key aspect to achieve gender equality becomes career progression , including efforts toward overcoming the glass ceiling. Indeed, according to the SBS analysis, career progression is highly related to words such as work, social issues and equality. The topic with which it has the highest semantic overlap is role , followed by decision-making , hiring , education , compensation , leadership , human capital , and family .

Career progression implies an advancement in the hierarchical ladder of the firm, assigning managerial roles to women. Coherently, much of the literature has focused on identifying rationales for a greater female participation in the top management team and board of directors [e.g., 95 ] as well as the best criteria to ensure that the decision-makers promote the most valuable employees irrespectively of their individual characteristics, such as gender [e.g., 84 ]. The link between career progression , role and compensation is often provided in practice by performance appraisal exercises, frequently rooted in a culture of meritocracy that guides bonuses, salary increases and promotions. However, performance appraisals can actually mask gender-biased decisions where women are held to higher standards than their male colleagues [e.g., 83 , 84 , 95 , 160 , 161 ]. Women often have less opportunities to gain leadership experience and are less visible than their male colleagues, which constitute barriers to career advancement [e.g., 162 ]. Therefore, transparency and accountability, together with procedures that discourage discretionary choices, are paramount to achieve a fair career progression [e.g., 84 ], together with the relaxation of strict job boundaries in favor of cross-functional and self-directed tasks [e.g., 163 ].

In addition, a series of stereotypes about the type of leadership characteristics that are required for top management positions, which fit better with typical male and agentic attributes, are another key barrier to career advancement for women [e.g., 92 , 160 ].

Hiring is the entrance gateway for women into the workforce. Therefore, it is related to other workforce topics such as compensation , role , career progression , decision-making , human capital , performance , organization and education .

A first stream of literature focuses on the process leading up to candidates’ job applications, demonstrating that bias exists before positions are even opened, and it is perpetuated both by men and women through networking and gatekeeping practices [e.g., 164 , 165 ].

The hiring process itself is also subject to biases [ 166 ], for example gender-congruity bias that leads to men being preferred candidates in male-dominated sectors [e.g., 167 ], women being hired in positions with higher risk of failure [e.g., 168 ] and limited transparency and accountability afforded by written processes and procedures [e.g., 164 ] that all contribute to ascriptive inequality. In addition, providing incentives for evaluators to hire women may actually work to this end; however, this is not the case when supporting female candidates endangers higher-ranking male ones [ 169 ].

Another interesting perspective, instead, looks at top management teams’ composition and the effects on hiring practices, indicating that firms with more women in top management are less likely to lay off staff [e.g., 152 ].

Performance.

Several scholars posed their attention towards women’s performance, its consequences [e.g., 170 , 171 ] and the implications of having women in decision-making positions [e.g., 18 , 19 ].

At the individual level, research focused on differences in educational and academic performance between women and men, especially referring to the gender gap in STEM fields [e.g., 171 ]. The presence of stereotype threats–that is the expectation that the members of a social group (e.g., women) “must deal with the possibility of being judged or treated stereotypically, or of doing something that would confirm the stereotype” [ 172 ]–affects women’s interested in STEM [e.g., 173 ], as well as their cognitive ability tests, penalizing them [e.g., 174 ]. A stronger gender identification enhances this gap [e.g., 175 ], whereas mentoring and role models can be used as solutions to this problem [e.g., 121 ]. Despite the negative effect of stereotype threats on girls’ performance [ 176 ], female and male students perform equally in mathematics and related subjects [e.g., 177 ]. Moreover, while individuals’ performance at school and university generally affects their achievements and the field in which they end up working, evidence reveals that performance in math or other scientific subjects does not explain why fewer women enter STEM working fields; rather this gap depends on other aspects, such as culture, past working experiences, or self-efficacy [e.g., 170 ]. Finally, scholars have highlighted the penalization that women face for their positive performance, for instance when they succeed in traditionally male areas [e.g., 178 ]. This penalization is explained by the violation of gender-stereotypic prescriptions [e.g., 179 , 180 ], that is having women well performing in agentic areas, which are typical associated to men. Performance penalization can thus be overcome by clearly conveying communal characteristics and behaviors [ 178 ].

Evidence has been provided on how the involvement of women in boards of directors and decision-making positions affects firms’ performance. Nevertheless, results are mixed, with some studies showing positive effects on financial [ 19 , 181 , 182 ] and corporate social performance [ 99 , 182 , 183 ]. Other studies maintain a negative association [e.g., 18 ], and other again mixed [e.g., 184 ] or non-significant association [e.g., 185 ]. Also with respect to the presence of a female CEO, mixed results emerged so far, with some researches demonstrating a positive effect on firm’s performance [e.g., 96 , 186 ], while other obtaining only a limited evidence of this relationship [e.g., 103 ] or a negative one [e.g., 187 ].

Finally, some studies have investigated whether and how women’s performance affects their hiring [e.g., 101 ] and career progression [e.g., 83 , 160 ]. For instance, academic performance leads to different returns in hiring for women and men. Specifically, high-achieving men are called back significantly more often than high-achieving women, which are penalized when they have a major in mathematics; this result depends on employers’ gendered standards for applicants [e.g., 101 ]. Once appointed, performance ratings are more strongly related to promotions for women than men, and promoted women typically show higher past performance ratings than those of promoted men. This suggesting that women are subject to stricter standards for promotion [e.g., 160 ].

Behavioral aspects related to gender follow two main streams of literature. The first examines female personality and behavior in the workplace, and their alignment with cultural expectations or stereotypes [e.g., 188 ] as well as their impacts on equality. There is a common bias that depicts women as less agentic than males. Certain characteristics, such as those more congruent with male behaviors–e.g., self-promotion [e.g., 189 ], negotiation skills [e.g., 190 ] and general agentic behavior [e.g., 191 ]–, are less accepted in women. However, characteristics such as individualism in women have been found to promote greater gender equality in society [ 192 ]. In addition, behaviors such as display of emotions [e.g., 193 ], which are stereotypically female, work against women’s acceptance in the workplace, requiring women to carefully moderate their behavior to avoid exclusion. A counter-intuitive result is that women and minorities, which are more marginalized in the workplace, tend to be better problem-solvers in innovation competitions due to their different knowledge bases [ 194 ].

The other side of the coin is examined in a parallel literature stream on behavior towards women in the workplace. As a result of biases, prejudices and stereotypes, women may experience adverse behavior from their colleagues, such as incivility and harassment, which undermine their well-being [e.g., 195 , 196 ]. Biases that go beyond gender, such as for overweight people, are also more strongly applied to women [ 197 ].

Organization.

The role of women and gender bias in organizations has been studied from different perspectives, which mirror those presented in detail in the following sections. Specifically, most research highlighted the stereotypical view of leaders [e.g., 105 ] and the roles played by women within firms, for instance referring to presence in the board of directors [e.g., 18 , 90 , 91 ], appointment as CEOs [e.g., 16 ], or top executives [e.g., 93 ].

Scholars have investigated antecedents and consequences of the presence of women in these apical roles. On the one side they looked at hiring and career progression [e.g., 83 , 92 , 160 , 168 , 198 ], finding women typically disadvantaged with respect to their male counterparts. On the other side, they studied women’s leadership styles and influence on the firm’s decision-making [e.g., 152 , 154 , 155 , 199 ], with implications for performance [e.g., 18 , 19 , 96 ].

Human capital.

Human capital is a transverse topic that touches upon many different aspects of female gender equality. As such, it has the most associations with other topics, starting with education as mentioned above, with career-related topics such as role , decision-making , hiring , career progression , performance , compensation , leadership and organization . Another topic with which there is a close connection is behavior . In general, human capital is approached both from the education standpoint but also from the perspective of social capital.

The behavioral aspect in human capital comprises research related to gender differences for example in cultural and religious beliefs that influence women’s attitudes and perceptions towards STEM subjects [ 142 , 200 – 202 ], towards employment [ 203 ] or towards environmental issues [ 150 , 204 ]. These cultural differences also emerge in the context of globalization which may accelerate gender equality in the workforce [ 205 , 206 ]. Gender differences also appear in behaviors such as motivation [ 207 ], and in negotiation [ 190 ], and have repercussions on women’s decision-making related to their careers. The so-called gender equality paradox sees women in countries with lower gender equality more likely to pursue studies and careers in STEM fields, whereas the gap in STEM enrollment widens as countries achieve greater equality in society [ 171 ].

Career progression is modeled by literature as a choice-process where personal preferences, culture and decision-making affect the chosen path and the outcomes. Some literature highlights how women tend to self-select into different professions than men, often due to stereotypes rather than actual ability to perform in these professions [ 142 , 144 ]. These stereotypes also affect the perceptions of female performance or the amount of human capital required to equal male performance [ 110 , 193 , 208 ], particularly for mothers [ 81 ]. It is therefore often assumed that women are better suited to less visible and less leadership -oriented roles [ 209 ]. Women also express differing preferences towards work-family balance, which affect whether and how they pursue human capital gains [ 210 ], and ultimately their career progression and salary .

On the other hand, men are often unaware of gendered processes and behaviors that they carry forward in their interactions and decision-making [ 211 , 212 ]. Therefore, initiatives aimed at increasing managers’ human capital –by raising awareness of gender disparities in their organizations and engaging them in diversity promotion–are essential steps to counter gender bias and segregation [ 213 ].

Emerging topics: Leadership and entrepreneurship

Among the emerging topics, the most pervasive one is women reaching leadership positions in the workforce and in society. This is still a rare occurrence for two main types of factors, on the one hand, bias and discrimination make it harder for women to access leadership positions [e.g., 214 – 216 ], on the other hand, the competitive nature and high pressure associated with leadership positions, coupled with the lack of women currently represented, reduce women’s desire to achieve them [e.g., 209 , 217 ]. Women are more effective leaders when they have access to education, resources and a diverse environment with representation [e.g., 218 , 219 ].

One sector where there is potential for women to carve out a leadership role is entrepreneurship . Although at the start of the millennium the discourse on entrepreneurship was found to be “discriminatory, gender-biased, ethnocentrically determined and ideologically controlled” [ 220 ], an increasing body of literature is studying how to stimulate female entrepreneurship as an alternative pathway to wealth, leadership and empowerment [e.g., 221 ]. Many barriers exist for women to access entrepreneurship, including the institutional and legal environment, social and cultural factors, access to knowledge and resources, and individual behavior [e.g., 222 , 223 ]. Education has been found to raise women’s entrepreneurial intentions [e.g., 224 ], although this effect is smaller than for men [e.g., 109 ]. In addition, increasing self-efficacy and risk-taking behavior constitute important success factors [e.g., 225 ].

Finally, the topic of sustainability is worth mentioning, as it is the primary objective of the SDGs and is closely associated with societal well-being. As society grapples with the effects of climate change and increasing depletion of natural resources, a narrative has emerged on women and their greater link to the environment [ 226 ]. Studies in developed countries have found some support for women leaders’ attention to sustainability issues in firms [e.g., 227 – 229 ], and smaller resource consumption by women [ 230 ]. At the same time, women will likely be more affected by the consequences of climate change [e.g., 230 ] but often lack the decision-making power to influence local decision-making on resource management and environmental policies [e.g., 231 ].

Research gaps and conclusions

Research on gender equality has advanced rapidly in the past decades, with a steady increase in publications, both in mainstream topics related to women in education and the workforce, and in emerging topics. Through a novel approach combining methods of text mining and social network analysis, we examined a comprehensive body of literature comprising 15,465 papers published between 2000 and mid 2021 on topics related to gender equality. We identified a set of 27 topics addressed by the literature and examined their connections.

At the highest level of abstraction, it is worth noting that papers abound on the identification of issues related to gender inequalities and imbalances in the workforce and in society. Literature has thoroughly examined the (unconscious) biases, barriers, stereotypes, and discriminatory behaviors that women are facing as a result of their gender. Instead, there are much fewer papers that discuss or demonstrate effective solutions to overcome gender bias [e.g., 121 , 143 , 145 , 163 , 194 , 213 , 232 ]. This is partly due to the relative ease in studying the status quo, as opposed to studying changes in the status quo. However, we observed a shift in the more recent years towards solution seeking in this domain, which we strongly encourage future researchers to focus on. In the future, we may focus on collecting and mapping pro-active contributions to gender studies, using additional Natural Language Processing techniques, able to measure the sentiment of scientific papers [ 43 ].

All of the mainstream topics identified in our literature review are closely related, and there is a wealth of insights looking at the intersection between issues such as education and career progression or human capital and role . However, emerging topics are worthy of being furtherly explored. It would be interesting to see more work on the topic of female entrepreneurship , exploring aspects such as education , personality , governance , management and leadership . For instance, how can education support female entrepreneurship? How can self-efficacy and risk-taking behaviors be taught or enhanced? What are the differences in managerial and governance styles of female entrepreneurs? Which personality traits are associated with successful entrepreneurs? Which traits are preferred by venture capitalists and funding bodies?

The emerging topic of sustainability also deserves further attention, as our society struggles with climate change and its consequences. It would be interesting to see more research on the intersection between sustainability and entrepreneurship , looking at how female entrepreneurs are tackling sustainability issues, examining both their business models and their company governance . In addition, scholars are suggested to dig deeper into the relationship between family values and behaviors.

Moreover, it would be relevant to understand how women’s networks (social capital), or the composition and structure of social networks involving both women and men, enable them to increase their remuneration and reach top corporate positions, participate in key decision-making bodies, and have a voice in communities. Furthermore, the achievement of gender equality might significantly change firm networks and ecosystems, with important implications for their performance and survival.

Similarly, research at the nexus of (corporate) governance , career progression , compensation and female empowerment could yield useful insights–for example discussing how enterprises, institutions and countries are managed and the impact for women and other minorities. Are there specific governance structures that favor diversity and inclusion?

Lastly, we foresee an emerging stream of research pertaining how the spread of the COVID-19 pandemic challenged women, especially in the workforce, by making gender biases more evident.

For our analysis, we considered a set of 15,465 articles downloaded from the Scopus database (which is the largest abstract and citation database of peer-reviewed literature). As we were interested in reviewing business and economics related gender studies, we only considered those papers published in journals listed in the Academic Journal Guide (AJG) 2018 ranking of the Chartered Association of Business Schools (CABS). All the journals listed in this ranking are also indexed by Scopus. Therefore, looking at a single database (i.e., Scopus) should not be considered a limitation of our study. However, future research could consider different databases and inclusion criteria.

With our literature review, we offer researchers a comprehensive map of major gender-related research trends over the past twenty-two years. This can serve as a lens to look to the future, contributing to the achievement of SDG5. Researchers may use our study as a starting point to identify key themes addressed in the literature. In addition, our methodological approach–based on the use of the Semantic Brand Score and its webapp–could support scholars interested in reviewing other areas of research.

Supporting information

S1 text. keywords used for paper selection..

https://doi.org/10.1371/journal.pone.0256474.s001

Acknowledgments

The computing resources and the related technical support used for this work have been provided by CRESCO/ENEAGRID High Performance Computing infrastructure and its staff. CRESCO/ENEAGRID High Performance Computing infrastructure is funded by ENEA, the Italian National Agency for New Technologies, Energy and Sustainable Economic Development and by Italian and European research programmes (see http://www.cresco.enea.it/english for information).

• View Article
• PubMed/NCBI
• Google Scholar
• 9. UN. Transforming our world: The 2030 Agenda for Sustainable Development. General Assembley 70 Session; 2015.
• 11. Nature. Get the Sustainable Development Goals back on track. Nature. 2020;577(January 2):7–8
• 37. Fronzetti Colladon A, Grippa F. Brand intelligence analytics. In: Przegalinska A, Grippa F, Gloor PA, editors. Digital Transformation of Collaboration. Cham, Switzerland: Springer Nature Switzerland; 2020. p. 125–41. https://doi.org/10.1371/journal.pone.0233276 pmid:32442196
• 39. Griffiths TL, Steyvers M, editors. Finding scientific topics. National academy of Sciences; 2004.
• 40. Mimno D, Wallach H, Talley E, Leenders M, McCallum A, editors. Optimizing semantic coherence in topic models. 2011 Conference on Empirical Methods in Natural Language Processing; 2011.
• 41. Wang C, Blei DM, editors. Collaborative topic modeling for recommending scientific articles. 17th ACM SIGKDD international conference on Knowledge discovery and data mining 2011.
• 46. Straka M, Straková J, editors. Tokenizing, pos tagging, lemmatizing and parsing ud 2.0 with udpipe. CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies; 2017.
• 49. Lu Y, Li, R., Wen K, Lu Z, editors. Automatic keyword extraction for scientific literatures using references. 2014 IEEE International Conference on Innovative Design and Manufacturing (ICIDM); 2014.
• 55. Roelleke T, Wang J, editors. TF-IDF uncovered. 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval—SIGIR ‘08; 2008.
• 56. Mihalcea R, Tarau P, editors. TextRank: Bringing order into text. 2004 Conference on Empirical Methods in Natural Language Processing; 2004.
• 58. Iannone F, Ambrosino F, Bracco G, De Rosa M, Funel A, Guarnieri G, et al., editors. CRESCO ENEA HPC clusters: A working example of a multifabric GPFS Spectrum Scale layout. 2019 International Conference on High Performance Computing & Simulation (HPCS); 2019.
• 60. Wasserman S, Faust K. Social network analysis: Methods and applications: Cambridge University Press; 1994.
• 141. Williams JE, Best DL. Measuring sex stereotypes: A multination study, Rev: Sage Publications, Inc; 1990.
• 172. Steele CM, Aronson J. Stereotype threat and the test performance of academically successful African Americans. In: Jencks C, Phillips M, editors. The Black–White test score gap. Washington, DC: Brookings; 1998. p. 401–27

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TOP 100 Gender Equality Essay Topics

Table of Contents

Need ideas for argumentative essay on gender inequality? We’ve got a bunch!

… But let’s start off with a brief intro.

What is gender equality?

Equality between the sexes is a huge part of basic human rights. It means that men and women have the same opportunities to fulfil their potential in all spheres of life.

Today, we still face inequality issues as there is a persistent gap in access to opportunities for men and women.

Women have less access to decision-making and higher education. They constantly face obstacles at the workplace and have greater safety risks. Maintaining equal rights for both sexes is critical for meeting a wide range of goals in global development.

Inequality between the sexes is an interesting area to study so high school, college, and university students are often assigned to write essays on gender topics.

In this article, we are going to discuss the key peculiarities of gender equality essay. Besides, we have created a list of the best essay topic ideas.

What is the specifics of gender equality essay?

Equality and inequality between the sexes are important historical and current social issues which impact the way students and their families live. They are common topics for college papers in psychology, sociology, gender studies.

When writing an essay on equality between the sexes, you need to argue for a strong point of view and support your argument with relevant evidence gathered from multiple sources.

But first, you’d need to choose a good topic which is neither too broad nor too narrow to research.

Research is crucial for the success of your essay because you should develop a strong argument based on an in-depth study of various scholarly sources.

Equality between sexes is a complex problem. You have to consider different aspects and controversial points of view on specific issues, show your ability to think critically, develop a strong thesis statement, and build a logical argument, which can make a great impression on your audience.

If you are looking for interesting gender equality essay topics, here you will find a great list of 100 topic ideas for writing essays and research papers on gender issues in contemporary society.

Should you find that some topics are too broad, feel free to narrow them down.

Powerful gender equality essay topics

Here are the top 25 hottest topics for your argumentative opinion paper on gender issues.

Whether you are searching for original creative ideas for gender equality in sports essay or need inspiration for gender equality in education essay, we’ve got you covered.

Use imagination and creativity to demonstrate your approach.

• Analyze gender-based violence in different countries
• Compare wage gap between the sexes in different countries
• Explain the purpose of gender mainstreaming
• Implications of sex differences in the human brain
• How can we teach boys and girls that they have equal rights?
• Discuss gender-neutral management practices
• Promotion of equal opportunities for men and women in sports
• What does it mean to be transgender?
• Discuss the empowerment of women
• Why is gender-blindness a problem for women?
• Why are girls at greater risk of sexual violence and exploitation?
• Women as victims of human trafficking
• Analyze the glass ceiling in management
• Impact of ideology in determining relations between sexes
• Obstacles that prevent girls from getting quality education in African countries
• Why are so few women in STEM?
• Major challenges women face at the workplace
• How do women in sport fight for equality?
• Women, sports, and media institutions
• Contribution of women in the development of the world economy
• Role of gender diversity in innovation and scientific discovery
• What can be done to make cities safer for women and girls?
• International trends in women’s empowerment
• Role of schools in teaching children behaviours considered appropriate for their sex
• Feminism on social relations uniting women and men as groups

Gender roles essay topics

We can measure the equality of men and women by looking at how both sexes are represented in a range of different roles. You don’t have to do extensive and tiresome research to come up with gender roles essay topics, as we have already done it for you.

Have a look at this short list of top-notch topic ideas .

• Are paternity and maternity leaves equally important for babies?
• Imagine women-dominated society and describe it
• Sex roles in contemporary western societies
• Compare theories of gender development
• Adoption of sex-role stereotyped behaviours
• What steps should be taken to achieve gender-parity in parenting?
• What is gender identity?
• Emotional differences between men and women
• Issues modern feminism faces
• Sexual orientation and gender identity
• Benefits of investing in girls’ education
• Patriarchal attitudes and stereotypes in family relationships
• Toys and games of girls and boys
• Roles of men and women in politics
• Compare career opportunities for both sexes in the military
• Women in the US military
• Academic careers and sex equity
• Should men play larger roles in childcare?
• Impact of an ageing population on women’s economic welfare
• Historical determinants of contemporary differences in sex roles
• Gender-related issues in gaming
• Culture and sex-role stereotypes in advertisements
• What are feminine traits?
• Sex role theory in sociology
• Causes of sex differences and similarities in behaviour

Gender inequality research paper topics

Examples of inequality can be found in the everyday life of different women in many countries across the globe. Our gender inequality research paper topics are devoted to different issues that display discrimination of women throughout the world.

Choose any topic you like, research it, brainstorm ideas, and create a detailed gender inequality essay outline before you start working on your first draft.

Start off with making a debatable thesis, then write an engaging introduction, convincing main body, and strong conclusion for gender inequality essay .

• Aspects of sex discrimination
• Main indications of inequality between the sexes
• Causes of sex discrimination
• Inferior role of women in the relationships
• Sex differences in education
• Can education solve issues of inequality between the sexes?
• Impact of discrimination on early childhood development
• Why do women have limited professional opportunities in sports?
• Gender discrimination in sports
• Lack of women having leadership roles
• Inequality between the sexes in work-family balance
• Top factors that impact inequality at a workplace
• What can governments do to close the gender gap at work?
• Sex discrimination in human resource processes and practices
• Gender inequality in work organizations
• Factors causing inequality between men and women in developing countries
• Work-home conflict as a symptom of inequality between men and women
• Why are mothers less wealthy than women without children?
• Forms of sex discrimination in a contemporary society
• Sex discrimination in the classroom
• Justification of inequality in American history
• Origins of sex discrimination
• Motherhood and segregation in labour markets
• Sex discrimination in marriage
• Can technology reduce sex discrimination?

Most controversial gender topics

Need a good controversial topic for gender stereotypes essay? Here are some popular debatable topics concerning various gender problems people face nowadays.

They are discussed in scientific studies, newspaper articles, and social media posts. If you choose any of them, you will need to perform in-depth research to prepare an impressive piece of writing.

• How do gender misconceptions impact behaviour?
• Most common outdated sex-role stereotypes
• How does gay marriage influence straight marriage?
• Explain the role of sexuality in sex-role stereotyping
• Role of media in breaking sex-role stereotypes
• Discuss the dual approach to equality between men and women
• Are women better than men or are they equal?
• Sex-role stereotypes at a workplace
• Racial variations in gender-related attitudes
• Role of feminism in creating the alternative culture for women
• Feminism and transgender theory
• Gender stereotypes in science and education
• Are sex roles important for society?
• Future of gender norms
• How can we make a better world for women?
• Are men the weaker sex?
• Beauty pageants and women’s empowerment
• Are women better communicators?
• What are the origins of sexual orientation?
• Should prostitution be legal?
• Pros and cons of being a feminist
• Advantages and disadvantages of being a woman
• Can movies defy gender stereotypes?
• Sexuality and politics

Feel free to use these powerful topic ideas for writing a good college-level gender equality essay or as a starting point for your study.

No time to do decent research and write your top-notch paper? No big deal! Choose any topic from our list and let a pro write the essay for you!

What Is Beauty?

An acid rain research paper free sample

Pro tips on how to write money cant buy happiness essay.

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Research: How Bias Against Women Persists in Female-Dominated Workplaces

• Amber L. Stephenson,
• Leanne M. Dzubinski

A look inside the ongoing barriers women face in law, health care, faith-based nonprofits, and higher education.

New research examines gender bias within four industries with more female than male workers — law, higher education, faith-based nonprofits, and health care. Having balanced or even greater numbers of women in an organization is not, by itself, changing women’s experiences of bias. Bias is built into the system and continues to operate even when more women than men are present. Leaders can use these findings to create gender-equitable practices and environments which reduce bias. First, replace competition with cooperation. Second, measure success by goals, not by time spent in the office or online. Third, implement equitable reward structures, and provide remote and flexible work with autonomy. Finally, increase transparency in decision making.

It’s been thought that once industries achieve gender balance, bias will decrease and gender gaps will close. Sometimes called the “ add women and stir ” approach, people tend to think that having more women present is all that’s needed to promote change. But simply adding women into a workplace does not change the organizational structures and systems that benefit men more than women . Our new research (to be published in a forthcoming issue of Personnel Review ) shows gender bias is still prevalent in gender-balanced and female-dominated industries.

• Amy Diehl , PhD is chief information officer at Wilson College and a gender equity researcher and speaker. She is coauthor of Glass Walls: Shattering the Six Gender Bias Barriers Still Holding Women Back at Work (Rowman & Littlefield). Find her on LinkedIn at Amy-Diehl , Twitter @amydiehl , and visit her website at amy-diehl.com
• AS Amber L. Stephenson , PhD is an associate professor of management and director of healthcare management programs in the David D. Reh School of Business at Clarkson University. Her research focuses on the healthcare workforce, how professional identity influences attitudes and behaviors, and how women leaders experience gender bias.
• LD Leanne M. Dzubinski , PhD is acting dean of the Cook School of Intercultural Studies and associate professor of intercultural education at Biola University, and a prominent researcher on women in leadership. She is coauthor of Glass Walls: Shattering the Six Gender Bias Barriers Still Holding Women Back at Work (Rowman & Littlefield).

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• Published: 03 January 2024

A research agenda for understanding how social inequality is linked to brain structure and function

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• Cognitive neuroscience
• Human behaviour

Consistent evidence documents powerful effects of social inequality on health, well-being and academic achievement. Yet research on whether social inequality may also be linked to brain structure and function has, until recently, been rare. Here we describe three methodological approaches that can be used to study this question—single site, single study; multi-site, single study; and spatial meta-analysis. We review empirical work that, using these approaches, has observed associations between neural outcomes and structural measures of social inequality—including structural stigma, community-level prejudice, gender inequality, neighbourhood disadvantage and the generosity of the social safety net for low-income families. We evaluate the relative strengths and limitations of these approaches, discuss ethical considerations and outline directions for future research. In doing so, we advocate for a paradigm shift in cognitive neuroscience that explicitly incorporates upstream structural and contextual factors, which we argue holds promise for uncovering the neural correlates of social inequality.

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Pickett, K. E., James, O. W. & Wilkinson, R. G. Income inequality and the prevalence of mental illness: a preliminary international analysis. J. Epidemiol. Community Health 60 , 646–647 (2006).

Williams, D. R. & Collins, C. Racial residential segregation: a fundamental cause of racial disparities in health. Public Health Rep. 116 , 404–416 (2001).

Article   CAS   PubMed   PubMed Central   Google Scholar  

Mehra, R., Boyd, L. M. & Ickovics, J. R. Racial residential segregation and adverse birth outcomes: a systematic review and meta-analysis. Soc. Sci. Med. 191 , 237–250 (2017).

Article   PubMed   Google Scholar  

McCoy, D. C., Raver, C. C. & Sharkey, P. Children’s cognitive performance and selective attention following recent community violence. J. Health Soc. Behav. 56 , 19–36 (2015).

Article   PubMed   PubMed Central   Google Scholar  

Sharkey, P., Schwartz, A. E., Ellen, I. G. & Lacoe, J. High stakes in the classroom, high stakes on the street: the effects of community violence on students’ standardized test performance. Sociol. Sci. 1 , 199–220 (2014).

Evans-Lacko, S., Brohan, E., Mojtabai, R. & Thornicroft, G. Association between public views of mental illness and self-stigma among individuals with mental illness in 14 European countries. Psychol. Med. 42 , 1741–1752 (2012).

Article   CAS   PubMed   Google Scholar  

Chae, D. H. et al. Association between an Internet-based measure of area racism and Black mortality. PLoS ONE 10 , e0122963 (2015).

Chae, D. H. et al. Area racism and birth outcomes among Blacks in the United States. Soc. Sci. Med 199 , 49–55 (2018).

Miller, C. T., Grover, K. W., Bunn, J. Y. & Solomon, S. E. Community norms about suppression of AIDS-related prejudice and perceptions of stigma by people with HIV or AIDS. Psychol. Sci. 22 , 579–583 (2011).

Miller, C. T., Varni, S. E., Solomon, S. E., DeSarno, M. J. & Bunn, J. Y. Macro-level implicit HIV prejudice and the health of community residents with HIV. Health Psychol. 35 , 807–815 (2016).

Perales, F. & Todd, A. Structural stigma and the health and wellbeing of Australian LGB populations: exploiting geographic variation in the results of the 2017 same-sex marriage plebiscite. Soc. Sci. Med 208 , 190–199 (2018).

Hatzenbuehler, M. L., Flores, A. R. & Gates, G. J. Social attitudes regarding same‐sex marriage and LGBT health disparities: results from a national probability sample. J. Soc. Issues 73 , 508–528 (2017).

Article   Google Scholar  

Krieger, N. et al. Structural racism, historical redlining, and risk of preterm birth in New York City, 2013-2017. Am. J. Public Health https://doi.org/10.2105/AJPH.2020.305656 (2020).

Huo, Y. J., Dovidio, J. F., Jiménez, T. R. & Schildkraut, D. J. Local policy proposals can bridge Latino and (most) white Americans’ response to immigration. Proc. Natl Acad. Sci. USA 115 , 945–950 (2018).

Hatzenbuehler, M. L. et al. Immigration policies and mental health morbidity among Latinos: A state-level analysis. Soc. Sci. Med 174 , 169–178 (2017).

Samari, G., Catalano, R., Alcalá, H. E. & Gemmill, A. The Muslim Ban and preterm birth: analysis of US vital statistics data from 2009 to 2018. Soc. Sci. Med 265 , 113544 (2020).

Hatzenbuehler, M. L., Keyes, K. M. & Hasin, D. S. State-level policies and psychiatric morbidity in lesbian, gay, and bisexual populations. Am. J. Public Health 99 , 2275–2281 (2009).

Hatzenbuehler, M. L., McLaughlin, K. A., Keyes, K. M. & Hasin, D. S. The impact of institutional discrimination on psychiatric disorders in lesbian, gay, and bisexual populations: a prospective study. Am. J. Public Health 100 , 452–459 (2010).

Hatzenbuehler, M. L. et al. Effect of same-sex marriage laws on health care use and expenditures in sexual minority men: a quasi-natural experiment. Am. J. Public Health 102 , 285–291 (2012).

Raifman, J., Moscoe, E., Austin, S. B. & McConnell, M. Difference-in-differences analysis of the association between state same-sex marriage policies and adolescent suicide attempts. JAMA Pediatr. 171 , 350–356 (2017).

Raifman, J., Moscoe, E., Austin, B., Hatzenhuehler, M. L. & Galea, S. Association of state laws permitting denial of services to same-sex couples with mental distress in sexual minority adults a difference-in-difference-in-differences analysis. JAMA Psych. 75 , 671–677 (2018).

Levy, B. L. & Levy, D. L. When love meets hate: the relationship between state policies on gay and lesbian rights and hate crime incidence. Soc. Sci. Res 61 , 142–159 (2017).

Everett, B. G., Hatzenbuehler, M. L. & Hughes, T. L. The impact of civil union legislation on minority stress, depression, and hazardous drinking in a diverse sample of sexual-minority women: a quasi-natural experiment. Soc. Sci. Med. 169 , 180–190 (2016).

Blosnich, J. R. et al. Religious freedom restoration acts and sexual minority population health in the United States. Am. J. Orthopsychiatry https://doi.org/10.1037/ort0000349 (2018).

Leitner, J. B., Hehman, E., Ayduk, O. & Mendoza-Denton, R. Racial bias is associated with ingroup death rate for Blacks and whites: insights from Project Implicit. Soc. Sci. Med. 170 , 220–227 (2016).

Morey, B. N., Gee, G. C., Muennig, P. & Hatzenbuehler, M. L. Community-level prejudice and mortality among immigrant groups. Soc. Sci. Med. 199 , 56–66 (2018).

Sharkey, P. The acute effect of local homicides on children’s cognitive performance. Proc. Natl Acad. Sci. USA 107 , 11733–11738 (2010).

Patel, V. et al. Income inequality and depression: a systematic review and meta-analysis of the association and a scoping review of mechanisms. World Psychiatry 17 , 76–89 (2018).

Leitner, J. B., Hehman, E., Ayduk, O. & Mendoza-Denton, R. Blacks’ death rate due to circulatory diseases is positively related to whites’ explicit racial bias: A nationwide investigation using project implicit. Psychol. Sci. 27 , 1299–1311 (2016).

Lukachko, A., Hatzenbuehler, M. L. & Keyes, K. M. Structural racism and myocardial infarction in the United States. Soc. Sci. Med. 103 , 42–50 (2014).

Pearce, N. Epidemiology in a changing world: variation, causation and ubiquitous risk factors. Int J. Epidemiol. 40 , 503–512 (2011).

Paus, T. Population neuroscience: why and how. Hum. Brain Mapp. 31 , 891–903 (2010).

Falk, E. B. et al. What is a representative brain? Neuroscience meets population science. Proc. Natl Acad. Sci. USA 110 , 17615–17622 (2013).

Suter, C. in Encyclopedia of Quality of Life and Well-Being Research (ed. Michalos, A. C.) 6093–6097 (2020).

Link, B. G. & Phelan, J. C. Conceptualizing stigma. Annu. Rev. Sociol. 27 , 363–385 (2001).

Hatzenbuehler, M. L. Structural stigma: research evidence and implications for psychological science. Am. Psychologist 71 , 742–751 (2016).

Levy, B. Stereotype embodiment: a psychosocial approach to aging. Curr. Dir. Psychol. Sci. 18 , 332–336 (2009).

Pachankis, J. E. The psychological implications of concealing a stigma: a cognitive-affective-behavioral model. Psychol. Bull. 133 , 328–345 (2007).

Pager, D. The mark of a criminal record. Am. J. Sociol. 108 , 937–975 (2003).

Galobardes, B., Lynch, J. & Smith, G. D. Measuring socioeconomic position in health research. Br. Med. Bull. 81 , 21–37 (2007).

Krieger, N., Williams, D. R. & Moss, N. E. Measuring social class in US public health research: concepts, methodologies and guidelines. Am. J. Public Health 18 , 341–378 (1997).

CAS   Google Scholar  

Rehkopf, D. H. et al. Monitoring socioeconomic disparities in death: comparing individual-level education and area-based socioeconomic measures. Am. J. Public Health 96 , 2135–2138 (2006).

Lattanner, M. R. et al. A contextual approach to the psychological study of identity concealment: examining direct, interactive, and indirect effects of structural stigma on concealment motivation across proximal and distal geographic levels. Psychol. Sci. 32 , 1684–1696 (2021).

Tilcsik, A. Pride and prejudice: employment discrimination against openly gay men in the United States. Am. J. Sociol. 117 , 586–626 (2011).

Hastings, P. D., Guyer, A. E. & Parra, L. A. Conceptualizing the influence of social and structural determinants of neurobiology and mental health: why and how biological psychiatry can do better at addressing the consequences of inequity. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 7 , 1215–1224 (2022).

PubMed   Google Scholar  

Lewinn, K. Z., Sheridan, M. A., Keyes, K. M., Hamilton, A. & McLaughlin, K. A. Sample composition alters associations between age and brain structure. Nat. Commun. 8 , 874 (2017).

Hyde, L. W. et al. An ecological approach to understanding the developing brain: examples linking poverty, parenting, neighborhoods, and the brain. Am. Psychologist 75 , 1245–1259 (2020).

Gard, A. M. et al. Beyond family-level adversities: exploring the developmental timing of neighborhood disadvantage effects on the brain. Dev. Sci. 24 , e12985 (2021).

Hatzenbuehler, M. L. et al. Smaller hippocampal volume among black and latinx youth living in high-stigma contexts. J. Am. Acad. Child Adolesc. Psychiatry 61 , 809–819 (2022).

Walhovd, K. B. et al. Education and income show heterogeneous relationships to lifespan brain and cognitive differences across European and US cohorts. Cereb. Cortex 32 , 839–854 (2022).

Adler, N. E. & Newman, K. Socioeconomic disparities in health: pathways and policies. Health Aff. 21 , 60–76 (2002).

Adler, N. E. & Rehkopf, D. H. U.S. disparities in health: Descriptions, causes, and mechanisms. Annu. Rev. Pub. Health 29 , 235–252 (2008).

Schmader, T. & Johns, M. Converging evidence that stereotype threat reduces working memory capacity. J. Pers. Soc. Psychol. 85 , 440–452 (2003).

Macintyre, S., Maciver, S. & Sooman, A. Area, class and health: should we be focusing on places or people? J. Soc. Policy 22 , e053 (1993).

Whiteis, D. G. Hospital and community characteristics in closures of urban hospitals, 1980-87. Public Health Rep. 107 , 409–416 (1992).

CAS   PubMed   PubMed Central   Google Scholar  

Eisenberger, N. I., Lieberman, M. D. & Williams, K. D. Does rejection hurt? An fMRI study of social exclusion. Science 302 , 290–292 (2003).

McLaughlin, K. A., Weissman, D. & Bitrán, D. Childhood adversity and neural development: a systematic review. Annu Rev. Dev. Psychol. 1 , 277–312 (2019).

Amodio, D. M. & Cikara, M. The social neuroscience of prejudice. Annu Rev. Psychol. 72 , 439–469 (2021).

Hein, T. C. & Monk, C. S. Research review: neural response to threat in children, adolescents, and adults after child maltreatment – a quantitative meta-analysis. J. Child Psychol. Psychiatry 58 , 222–230 (2017).

Noble, K. G. et al. Family income, parental education and brain structure in children and adolescents. Nat. Neurosci. 18 , 773–778 (2015).

Luby, J. et al. The effects of poverty on childhood brain development: the mediating effect of caregiving and stressful life events. JAMA Pediatr. 167 , 1135–1142 (2013).

Gilmore, R. O., Diaz, M. T., Wyble, B. A. & Yarkoni, T. Progress toward openness, transparency, and reproducibility in cognitive neuroscience. Ann. NY Acad. Sci. 1396 , 5–18 (2017).

Klapwijk, E. T., van den Bos, W., Tamnes, C. K., Raschle, N. M. & Mills, K. L. Opportunities for increased reproducibility and replicability of developmental neuroimaging. Dev. Cogn. Neurosci. 47 , 100902 (2021).

Poldrack, R. A. et al. Scanning the horizon: towards transparent and reproducible neuroimaging research. Nat. Rev. Neurosci. 18 , 115–126 (2017).

Van Bavel, J. J., Mende-Siedlecki, P., Brady, W. J. & Reinero, D. A. Contextual sensitivity in scientific reproducibility. Proc. Natl Acad. Sci. USA 113 , 6454–6459 (2016).

Casey, B. J., Taylor-Thompson, K., Rubien-Thomas, E., Robbins, M. & Baskin-Sommers, A. Healthy development as a human right: Insights from developmental neuroscience for youth justice. Annu Rev Law Soc Sci 16 , 203–222 (2020).

Tomlinson, R. C. et al. Neighborhood poverty predicts altered neural and behavioral response inhibition. Neuroimage 209 , 116536 (2020).

Tooley, U. A. et al. Associations between neighborhood SES and functional brain network development. Cereb. Cortex 30 , 1–19 (2020).

Krishnadas, R. et al. Socioeconomic deprivation and cortical morphology: psychological, social, and biological determinants of ill health study. Psychosom Med 75 , 616–623 (2013).

Ramphal, B. et al. Brain connectivity and socioeconomic status at birth and externalizing symptoms at age 2 years. Dev. Cogn. Neurosci. 45 , 100811 (2020).

Murtha, K. et al. Associations between neighborhood socioeconomic status, parental education, and executive system activation in youth. Cereb. Cortex 33 , 1058–1073 (2023).

Hannan, E. L., Wu, Y., Cozzens, K. & Anderson, B. The Neighborhood Atlas Area Deprivation Index for measuring socioeconomic status: an overemphasis on home value. Health Aff. 42 , 702–709 (2023).

Trinidad, S. et al. Use of area-based socioeconomic deprivation indices: a scoping review and qualitative analysis. Health Aff. 41 , 1804–1811 (2022).

Leventhal, T. & Brooks-Gunn, J. The neighborhoods they live in: the effects of neighborhood residence on child and adolescent outcomes. Psychol. Bull. 126 , 309–37 (2000).

Jenkins, L. M. et al. Subcortical structural variations associated with low socioeconomic status in adolescents. Hum. Brain Mapp. 41 , 162–171 (2020).

Al Hazzouri, A. Z. et al. Racial residential segregation in young adulthood and brain integrity in middle age: can we learn from small samples? Am. J. Epidemiol. 191 , 591–598 (2022).

Harnett, N. G. et al. Structural inequities contribute to racial/ethnic differences in neurophysiological tone, but not threat reactivity, after trauma exposure. Mol. Psychiatry 28 , 2975–2984 (2023).

Weissman, D. G., Hatzenbuehler, M. L., Cikara, M., Barch, D. M. & McLaughlin, K. A. State-level macro-economic factors moderate the association of low income with brain structure and mental health in U.S. children. Nat. Commun. 14 , 2085 (2023).

Hanson, J. L., Chandra, A., Wolfe, B. L. & Pollak, S. D. Association between income and the hippocampus. PLoS ONE 6 , e18712 (2011).

Decker, A. L., Duncan, K., Finn, A. S. & Mabbott, D. J. Children’s family income is associated with cognitive function and volume of anterior not posterior hippocampus. Nat Commun 11 , 4040 (2020).

Fan, C. C. et al. Adolescent Brain Cognitive Development (ABCD) study linked external data (LED): protocol and practices for geocoding and assignment of environmental data. Dev. Cogn. Neurosci. 52 , 101030 (2021).

Johnson, B. T., Cromley, E. K. & Marrouch, N. Spatiotemporal meta-analysis: reviewing health psychology phenomena over space and time. Health Psychol. Rev. 11 , 280–291 (2017).

Hatzenbuehler, M. L., Mclaughlin, K. A., Weissman, D. G. & Cikara, M. Community-level explicit racial prejudice potentiates whites’ neural responses to black faces: a spatial meta-analysis. Soc. Neurosci. 17 , 508–519 (2022).

Gaye, A., Klugman, J., Kovacevic, M., Twigg, S. & Zambrano, E. Measuring Key Disparities in Human Development: the Gender Inequality Index . Human Development Research Paper (United Nations Development Programme, 2010).

Crotti, R., Pal, K. K., Ratcheva, V. & Zahidi, S. The Global Gender Gap Report 2021 (World Economic Forum, 2021).

Zugman, A. et al. Country-level gender inequality is associated with structural differences in the brains of women and men. Proc. Natl Acad. Sci. USA 120 , e2218782120 (2023).

Kober, H. & Wager, T. D. Meta-analysis of neuroimaging data. Wiley Interdiscip. Rev. Cogn. Sci. 1 , 293–300 (2010).

Lindquist, K. A., Satpute, A. B., Wager, T. D., Weber, J. & Barrett, L. F. The brain basis of positive and negative affect: evidence from a meta-analysis of the human neuroimaging literature. Cereb. Cortex 26 , 1910–1922 (2016).

Murty, V. P., Ritchey, M., Adcock, R. A. & LaBar, K. S. Reprint of: fMRI studies of successful emotional memory encoding: a quantitative meta-analysis. Neuropsychologia 49 , 695–705 (2011).

Turner, B. O., Paul, E. J., Miller, M. B. & Barbey, A. K. Small sample sizes reduce the replicability of task-based fMRI studies. Commun. Biol. 1 , 62 (2018).

Wager, T. D., Lindquist, M. & Kaplan, L. Meta-analysis of functional neuroimaging data: current and future directions. Soc. Cogn. Affect Neurosci. 2 , 150–158 (2007).

Lindquist, K. A., Wager, T. D., Kober, H., Bliss-Moreau, E. & Barrett, L. F. The brain basis of emotion: a meta-analytic review. Behav. Brain Sci. 35 , 121–143 (2012).

Cremers, H. R., Wager, T. D. & Yarkoni, T. The relation between statistical power and inference in fMRI. PLoS ONE 12 , e0184923 (2017).

Parker, R. & Aggleton, P. HIV and AIDS-related stigma and discrimination: a conceptual framework and implications for action. Soc. Sci. Med 57 , 13–24 (2003).

Hatzenbuehler, M. L., Phelan, J. C. & Link, B. G. Stigma as a fundamental cause of population health inequalities. Am. J. Public Health 103 , 813–821 (2013).

Hardeman, R. R., Homan, P. A., Chantarat, T., Davis, B. A. & Brown, T. H. Improving the measurement of structural racism to achieve antiracist health policy. Health Aff. 41 , 179–186 (2022).

Cikara, M., Fouka, V. & Tabellini, M. Hate crime towards minoritized groups increases as they increase in sized-based rank. Nat. Hum. Behav. 6 , 1544–1544 (2022).

Garcini, L. M. et al. Increasing diversity in developmental cognitive neuroscience: a roadmap for increasing representation in pediatric neuroimaging research. Dev. Cogn. Neurosci. 58 , 101167 (2022).

Keyes, K. M. et al. What is not measured cannot be counted: sample characteristics reported in studies of hippocampal volume and depression in neuroimaging studies. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 8 , 492–494 (2023).

Sampson, R. J. Moving to inequality: neighborhood effects and experiments meet social structure. Am. J. Sociol. 114 , 189–231 (2008).

Poldrack, R. A. Inferring mental states from neuroimaging data: from reverse inference to large-scale decoding. Neuron 72 , 692–697 (2011).

Lipsitch, M., Tchetgen Tchetgen, E. & Cohen, T. Negative controls: a tool for detecting confounding and bias in observational studies. Epidemiology 21 , 383–388 (2010).

Ricard, J. A. et al. Confronting racially exclusionary practices in the acquisition and analyses of neuroimaging data. Nat. Neurosci. 26 , 4–11 (2023).

White, E. J. et al. Five recommendations for using large-scale publicly available data to advance health among American Indian peoples: the Adolescent Brain and Cognitive Development (ABCD) StudySM as an illustrative case. Neuropsychopharmacology 48 , 263–269 (2023).

Cook, T. D., Campbell, D. T. & Shadish, W. Experimental and Quasi-Experimental Designs for Generalized Causal Inference (Houghton Mifflin, 2002).

Hatzenbuehler, M. L. Advancing research on structural stigma and sexual orientation disparities in mental health among youth. J. Clin. Child Adolesc. Psychol. 46 , 463–475 (2017).

Chetty, R. & Hendren, N. The impacts of neighborhoods on intergenerational mobility I: childhood exposure effects. Q. J. Econ. 133 , 1107–1162 (2017).

Sukumaran, K. et al. Ambient fine particulate exposure and subcortical gray matter microarchitecture in 9- and 10-year-old children across the United States. iScience 26 , 106087 (2023).

Berman, M. G., Stier, A. J. & Akcelik, G. N. Environmental neuroscience. Am. Psychologist 74 , 1039–1052 (2019).

Williams, D. R., Yu, Y., Jackson, J. S. & Anderson, N. B. Racial differences in physical and mental health: socio-economic status, stress and discrimination. J. Health Psychol. 2 , 335–351 (1997).

Frost, D. M. et al. Couple-level minority stress: an examination of same-sex couples’ unique experiences. J. Health Soc. Behav. 58 , 455–472 (2017).

Hewstone, M., Rubin, M. & Willis, H. Intergroup bias. Annu Rev. Psychol. 53 , 575–604 (2002).

Reid, A. E., Dovidio, J. F., Ballester, E. & Johnson, B. T. HIV prevention interventions to reduce sexual risk for African Americans: the influence of community-level stigma and psychological processes. Soc. Sci. Med 103 , 118–125 (2014).

Payne, B. K., Vuletich, H. A. & Brown-Iannuzzi, J. L. Historical roots of implicit bias in slavery. Proc. Natl Acad. Sci. USA 116 , 11693–11698 (2019).

Hatzenbuehler, M. L. et al. Trends in state policy support for sexual minorities and HIV-related outcomes among men who have sex with men in the United States, 2008–2014. J. Acquir. Immune Defic. Syndr. 85 , 39–45 (2020).

Krieger, N., Chen, J. T., Coull, B., Waterman, P. D. & Beckfield, J. The unique impact of abolition of Jim Crow laws on reducing inequities in infant death rates and implications for choice of comparison groups in analyzing societal determinants of health. Am. J. Public Health 103 , 2234–2244 (2013).

Burris, S. et al. Making the case for laws that improve health: a framework for public health law research. Milbank Q. 88 , 169–210 (2010).

Flores, A. R., Hatzenbuehler, M. L. & Gates, G. J. Identifying psychological responses of stigmatized groups to referendums. Proc. Natl Acad. Sci. USA 115 , 3816–3821 (2018).

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Hatzenbuehler, M.L., McLaughlin, K.A., Weissman, D.G. et al. A research agenda for understanding how social inequality is linked to brain structure and function. Nat Hum Behav 8 , 20–31 (2024). https://doi.org/10.1038/s41562-023-01774-8

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What does gender equality look like today?

Date: Wednesday, 6 October 2021

Progress towards gender equality is looking bleak. But it doesn’t need to.

A new global analysis of progress on gender equality and women’s rights shows women and girls remain disproportionately affected by the socioeconomic fallout from the COVID-19 pandemic, struggling with disproportionately high job and livelihood losses, education disruptions and increased burdens of unpaid care work. Women’s health services, poorly funded even before the pandemic, faced major disruptions, undermining women’s sexual and reproductive health. And despite women’s central role in responding to COVID-19, including as front-line health workers, they are still largely bypassed for leadership positions they deserve.

UN Women’s latest report, together with UN DESA, Progress on the Sustainable Development Goals: The Gender Snapshot 2021 presents the latest data on gender equality across all 17 Sustainable Development Goals. The report highlights the progress made since 2015 but also the continued alarm over the COVID-19 pandemic, its immediate effect on women’s well-being and the threat it poses to future generations.

We’re breaking down some of the findings from the report, and calling for the action needed to accelerate progress.

The pandemic is making matters worse

One and a half years since the World Health Organization declared COVID-19 a global pandemic, the toll on the poorest and most vulnerable people remains devastating and disproportionate. The combined impact of conflict, extreme weather events and COVID-19 has deprived women and girls of even basic needs such as food security. Without urgent action to stem rising poverty, hunger and inequality, especially in countries affected by conflict and other acute forms of crisis, millions will continue to suffer.

A global goal by global goal reality check:

Goal 1. Poverty

In 2021, extreme poverty is on the rise and progress towards its elimination has reversed. An estimated 435 million women and girls globally are living in extreme poverty.

And yet we can change this .

Over 150 million women and girls could emerge from poverty by 2030 if governments implement a comprehensive strategy to improve access to education and family planning, achieve equal wages and extend social transfers.

Goal 2. Zero hunger

The global gender gap in food security has risen dramatically during the pandemic, with more women and girls going hungry. Women’s food insecurity levels were 10 per cent higher than men’s in 2020, compared with 6 per cent higher in 2019.

This trend can be reversed , including by supporting women small-scale producers, who typically earn far less than men, through increased funding, training and land rights reforms.

Goal 3. Good health and well-being

Disruptions in essential health services due to COVID-19 are taking a tragic toll on women and girls. In the first year of the pandemic, there were an estimated 1.4 million additional unintended pregnancies in lower and middle-income countries.

We need to do better .

Response to the pandemic must include prioritizing sexual and reproductive health services, ensuring they continue to operate safely now and after the pandemic is long over. In addition, more support is needed to ensure life-saving personal protection equipment, tests, oxygen and especially vaccines are available in rich and poor countries alike as well as to vulnerable population within countries.

Goal 4. Quality education

A year and a half into the pandemic, schools remain partially or fully closed in 42 per cent of the world’s countries and territories. School closures spell lost opportunities for girls and an increased risk of violence, exploitation and early marriage .

Governments can do more to protect girls education .

Measures focused specifically on supporting girls returning to school are urgently needed, including measures focused on girls from marginalized communities who are most at risk.

Goal 5. Gender equality

The pandemic has tested and even reversed progress in expanding women’s rights and opportunities. Reports of violence against women and girls, a “shadow” pandemic to COVID-19, are increasing in many parts of the world. COVID-19 is also intensifying women’s workload at home, forcing many to leave the labour force altogether.

Building forward differently and better will hinge on placing women and girls at the centre of all aspects of response and recovery, including through gender-responsive laws, policies and budgeting.

Goal 6. Clean water and sanitation

In 2018, nearly 2.3 billion people lived in water-stressed countries. Without safe drinking water, adequate sanitation and menstrual hygiene facilities, women and girls find it harder to lead safe, productive and healthy lives.

Change is possible .

Involve those most impacted in water management processes, including women. Women’s voices are often missing in water management processes. 

Goal 7. Affordable and clean energy

Increased demand for clean energy and low-carbon solutions is driving an unprecedented transformation of the energy sector. But women are being left out. Women hold only 32 per cent of renewable energy jobs.

We can do better .

Expose girls early on to STEM education, provide training and support to women entering the energy field, close the pay gap and increase women’s leadership in the energy sector.

Goal 8. Decent work and economic growth

The number of employed women declined by 54 million in 2020 and 45 million women left the labour market altogether. Women have suffered steeper job losses than men, along with increased unpaid care burdens at home.

We must do more to support women in the workforce .

Guarantee decent work for all, introduce labour laws/reforms, removing legal barriers for married women entering the workforce, support access to affordable/quality childcare.

Goal 9. Industry, innovation and infrastructure

The COVID-19 crisis has spurred striking achievements in medical research and innovation. Women’s contribution has been profound. But still only a little over a third of graduates in the science, technology, engineering and mathematics field are female.

We can take action today.

 Quotas mandating that a proportion of research grants are awarded to women-led teams or teams that include women is one concrete way to support women researchers. 

Goal 10. Reduced inequalities

Limited progress for women is being eroded by the pandemic. Women facing multiple forms of discrimination, including women and girls with disabilities, migrant women, women discriminated against because of their race/ethnicity are especially affected.

Commit to end racism and discrimination in all its forms, invest in inclusive, universal, gender responsive social protection systems that support all women. 

Goal 11. Sustainable cities and communities

Globally, more than 1 billion people live in informal settlements and slums. Women and girls, often overrepresented in these densely populated areas, suffer from lack of access to basic water and sanitation, health care and transportation.

The needs of urban poor women must be prioritized .

Increase the provision of durable and adequate housing and equitable access to land; included women in urban planning and development processes.

Goal 12. Sustainable consumption and production; Goal 13. Climate action; Goal 14. Life below water; and Goal 15. Life on land

Women activists, scientists and researchers are working hard to solve the climate crisis but often without the same platforms as men to share their knowledge and skills. Only 29 per cent of featured speakers at international ocean science conferences are women.

 And yet we can change this .

Ensure women activists, scientists and researchers have equal voice, representation and access to forums where these issues are being discussed and debated. 

Goal 16. Peace, justice and strong institutions

The lack of women in decision-making limits the reach and impact of the COVID-19 pandemic and other emergency recovery efforts. In conflict-affected countries, 18.9 per cent of parliamentary seats are held by women, much lower than the global average of 25.6 per cent.

This is unacceptable .

It's time for women to have an equal share of power and decision-making at all levels.

Goal 17. Global partnerships for the goals

There are just 9 years left to achieve the Global Goals by 2030, and gender equality cuts across all 17 of them. With COVID-19 slowing progress on women's rights, the time to act is now.

Looking ahead

As it stands today, only one indicator under the global goal for gender equality (SDG5) is ‘close to target’: proportion of seats held by women in local government. In other areas critical to women’s empowerment, equality in time spent on unpaid care and domestic work and decision making regarding sexual and reproductive health the world is far from target. Without a bold commitment to accelerate progress, the global community will fail to achieve gender equality. Building forward differently and better will require placing women and girls at the centre of all aspects of response and recovery, including through gender-responsive laws, policies and budgeting.

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Achieving Equality or Persisting Inequality: Effects of Framing of Equality on Attitudes Toward Women and Gender Equality Through Identity Threat and Cognitive Unfreezing

• Original Article
• Published: 14 November 2023
• Volume 90 , pages 126–150, ( 2024 )

Cite this article

• Isabel Cuadrado   ORCID: orcid.org/0000-0002-0946-2696 1 ,
• Andreea A. Constantin   ORCID: orcid.org/0000-0001-5896-8346 1 ,
• Lucía López-Rodríguez   ORCID: orcid.org/0000-0002-9153-0220 1 &
• Lucía Estevan-Reina   ORCID: orcid.org/0000-0003-4724-3969 1 , 2  

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Previous evidence suggests that interventions that raise awareness of gender inequality might have the potential to challenge and undo well-anchored biases but, at the same time, might be threatening and provoke reactance against them. The effects of such interventions might also have a differential impact on women and men and vary depending on their level of neosexism and feminist identification. Extending previous research, two pre-registered studies ( N  = 1,895) were conducted to explore the differential effects of interventions that raise awareness of gender (in)equality with two frames (i.e., gender equality achievement vs. gender inequality persistence) on women’s and men’s attitudes toward women and gender equality. We also examined whether participants’ gender ideology moderates these effects via different psychological mechanisms (identity threat and cognitive unfreezing). Results indicated that for women, the gender inequality persistence framing is more effective (increases cognitive unfreezing) but potentially riskier (enhances identity threat) than the gender equality achievement framing. For men, the gender equality achievement framing seems especially effective as it reduced identity threat, although such effect is contingent on their gender ideology (feminist identification or/and neosexism). These findings have implications for the discourse of practitioners, politicians, and activists who might capitalize on the power of combining gender equality with gender inequality frames to improve attitudes toward women and gender equality depending on the specific goals, the context, and the target of the interventions.

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Availability of Data and Materials

Raw data, Codebook, Supplementary Information (SI), Materials used and Preregistrations of Studies 1 and 2 are already available in the Open Science Framework: https://osf.io/r4pzs/?view_only=d00453cdc2154a83a278bddb394c6304

Anisman-Razin, M., Kark, R., & Saguy, T. (2018). “Putting gender on the table”: Understanding reactions to women who discuss gender inequality. Group Processes & Intergroup Relations, 21 (5), 690–706. https://doi.org/10.1177/1368430217744648

Article   Google Scholar  

Bar-Tal, D., Hameiri, B., & Halperin, E. (2021). Paradoxical thinking as a paradigm of attitude change in the context of intractable conflict. In B. Gawronski (Ed.), Advances in experimental social psychology (Vol. 63, pp. 129–187). Academic Press. https://doi.org/10.1016/bs.aesp.2020.11.003

Boring, A., & Philippe, A. (2021). Reducing discrimination in the field: Evidence from an awareness raising intervention targeting gender biases in student evaluations of teaching. Journal of Public Economics, 193 , 104323. https://doi.org/10.1016/j.jpubeco.2020.104323

Brambilla, M., Sacchi, S., Rusconi, P., & Goodwin, G. (2021). The primacy of morality in impression development: Theory, research, and future directions. Advances in Experimental Social Psychology, 64 , 187–262. https://doi.org/10.1016/bs.aesp.2021.03.001

Branscombe, N. R., Ellemers, N., Spears, R., & Doosje, B. (1999). The context and content of social identity threat. In N. Ellemers, R. Spears, & B. Doosje (Eds.), Social identity: Context, commitment, content (pp. 35–58). Blackwell Science.

Google Scholar  

Buckingham, S., Fiadzo, C., Dalla, V., Todaro, L., Dupont, C., & Hadjivassiliou, K. (2020). Precarious work from a gender and intersectionality perspective, and ways to combat it . Policy Department for Citizens’ Rights and Constitutional Affairs Directorate-General for Internal Policies (European Union). Retrieved June 18, 2022, from  https://www.europarl.europa.eu/RegData/etudes/STUD/2020/662491/IPOL_STU(2020)662491_EN.pdf

Burgoon, M., Alvaro, E., Grandpre, J., & Voulodakis, M. (2002). Revisiting the theory of psychological reactance: Communicating threats to attitudinal freedom. In J. P. Dillard & M. W. Pfau (Eds.), The persuasion handbook: Developments in theory and practice (pp. 213–232). Sage.

Chapter   Google Scholar  

Cárdenas Castro, J. M., & Arancibia Martini, H. (2016). Potencia estadística y cálculo del tamaño del efecto en G*Power: Complementos a las pruebas de significación estadística y su aplicación en psicología. Salud & Sociedad, 5 (2), 210–244. https://doi.org/10.22199/S07187475.2014.0002.00006

Case, K. A. (2007). Raising white privilege awareness and reducing racial prejudice: Assessing diversity course effectiveness. Teaching of Psychology, 34 (4), 231–235. https://doi.org/10.1080/00986280701700250

Case, K. A., Hensley, R., & Anderson, A. (2014). Reflecting on heterosexual and male privilege: Interventions to raise awareness. Journal of Social Issues, 70 (4), 722–740. https://doi.org/10.1111/josi.12088

Cheryan, S., Siy, J. O., Vichayapai, M., Drury, B. J., & Kim, S. (2011). Do female and male role models who embody STEM stereotypes hinder women’s anticipated success in STEM? Social Psychological and Personality Science, 2 , 656–664. https://doi.org/10.1177/1948550611405218

Cundiff, J. L., & Murray, S. L. (2020). Good intentions are not enough: Assessing a gender bias literacy intervention for potential positive and negative outcomes. Journal of Women and Minorities in Science and Engineering, 26 (6), 511–540. https://doi.org/10.1615/JWomenMinorScienEng.2020032359

Cundiff, J. L., Ryuk, S., & Cech, K. (2018). Identity-safe or threatening? Perceptions of women-targeted diversity initiatives. Group Processes & Intergroup Relations, 21 (5), 745–766. https://doi.org/10.1177/1368430217740434

Cundiff, J. L., Zawadzki, M. J., Danube, C. L., & Shields, S. A. (2014). Using experiential learning to increase the recognition of everyday sexism as harmful: The WAGES intervention. Journal of Social Issues, 70 (4), 703–721. https://doi.org/10.1111/josi.12087

de Lemus, S., Navarro, L., Velásquez, M. J., Ryan, E., & Megías, J. L. (2014). From sex to gender: A university intervention to reduce sexism in Argentina, Spain, and El Salvador. Journal of Social Issues, 70 (4), 741–762. https://doi.org/10.1111/josi.12089

Dillard, J. P., & Shen, L. (2005). On the nature of reactance and its role in persuasive health communication. Communication Monographs, 72 , 144–168. https://doi.org/10.1080/03637750500111815

Doolaard, F. T., Lelieveld, G. J., Noordewier, M. K., van Beest, I., & van Dijk, E. (2021). How information on sexism may increase women's perceptions of being excluded, threaten fundamental needs, and lower career motivation. European Journal of Social Psychology , 1–15. https://doi.org/10.1002/ejsp.2825

Doosje, B., Branscombe, N. R., Spears, R., & Manstead, A. S. R. (1998). Guilty by association: When one’s group has a negative history. Journal of Personality and Social Psychology, 75 , 872–886. https://doi.org/10.1037//0022-3514.75.4.872

Eagly, A. H., Eaton, A., Rose, S. M., Riger, S., & McHugh, M. C. (2012). Feminism and psychology: Analysis of a half-century of research on women and gender. American Psychologist, 67 (3), 211–230. https://doi.org/10.1037/a0027260

Article   PubMed   Google Scholar  

Estevan-Reina, L., de Lemus, S., & Megías, J. L. (2020). Feminist or paternalistic: Understanding men’s motivations to confront sexism. Frontiers in Psychology, 10 , 2988. https://doi.org/10.3389/fpsyg.2019.02988

Article   PubMed   PubMed Central   Google Scholar  

European Institute of Gender Equality (EIGE). (2021). Gender Equality Index 2021. Factsheet Spain.  Retrieved June 18, 2022, from  https://eige.europa.eu/gender-equality-index/2021/country/ES

Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G∗Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39 , 175–191. https://doi.org/10.3758/BF03193146

Ferrer, V. A. (2017). Feminismo y psicología social [ Feminism and social psychology ]. Madrid: Grupo 5.

Fiske, S. T., Cuddy, A. J., Glick, P., & Xu, J. (2002). A model of (often mixed) stereotype content: Competence and warmth respectively follow from perceived status and competition. Journal of Personality and Social Psychology, 82 , 878–902. https://doi.org/10.1037/0022-3514.82.6.878

Freedman, G., Green, M. C., Seidman, M., Flanagan, M., & McNamara, D. S. (2021). The effect of embodying a woman scientist in virtual reality on men’s gender biases. Technology, Mind, and Behavior, 2 (4), 1–11. https://doi.org/10.1037/tmb0000046

Hameiri, B., Nabet, E., Bar-Tal, D., & Halperin, E. (2018). Paradoxical thinking as a conflict-Resolution intervention: Comparison to alternative interventions and examination of psychological mechanisms. Personality and Social Psychology Bulletin, 44 (1), 122–139. https://doi.org/10.1177/0146167217736048

Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (Methodology in the Social Sciences) (2nd ed.). The Guilford Press.

Hennes, E. P., Pietri, E. S., Moss-Racusin, C. A., Mason, K. A., Dovidio, J. F., Brescoll, V. L., Bayley, A. H., & Handelsman, J. (2018). Increasing the perceived malleability of gender bias using a modified Video Intervention for Diversity in STEM (VIDS). Group Processes & Intergroup Relations, 21 , 788–809. https://doi.org/10.1177/1368430218755923

Huddy, L., Neely, F. K., & Lafay, M. R. (2000). Trends: Support for the women’s movement. The Public Opinion Quarterly, 64 , 309–350. https://doi.org/10.1086/317991

Hullett, C. R. (2005). The impact of mood on persuasion: A meta-analysis. Communication Research, 32 (4), 423–442. https://doi.org/10.1177/0093650205277317

Kosakowska-Berezecka, N., Besta, T., Adamska, K., Jaśkiewicz, M., Jurek, P., & Vandello, J. A. (2016). If my masculinity is threatened I won’t support gender equality? The role of agentic self-stereotyping in restoration of manhood and perception of gender relations. Psychology of Men & Masculinity, 17 (3), 274–284. https://doi.org/10.1037/men0000016

Kruglanski, A. W., & Webster, D. M. (1996). Motivated closing of the mind: “Seizing” and “freezing.” Psychological Review, 103 (2), 263–283. https://doi.org/10.1037/0033-295X.103.2.263

Kteily, N., Saguy, T., Sidanius, J., & Taylor, D. M. (2013). Negotiating power: Agenda ordering and the willingness to negotiate in asymmetric intergroup conflicts. Journal of Personality and Social Psychology, 105 (6), 978–995. https://doi.org/10.1037/a0034095

Leach, C. W., Ellemers, N., & Barreto, M. (2007). Group virtue: The importance of morality (vs. competence and sociability) in the positive evaluation of ingroups. Journal of Personality and Social Psychology, 93 , 234–249. https://doi.org/10.1037/0022-3514.93.2.234

Leach, C. W., van Zomeren, M., Zebel, S., Vliek, M. L. W., Pennekamp, S. F., Doosje, B., Ouwerkerk, J. W., & Spears, R. (2008). Group-level self-definition and self-investment: A hierarchical (multicomponent) model of in-group identification. Journal of Personality and Social Psychology, 95 (1), 144–165. https://doi.org/10.1037/0022-3514.95.1.144

Liss, M., Crawford, M., & Popp, D. (2004). Predictors and correlates of collective action.  Sex Roles , 50 , 771–779. https://doi.org/10.1023/B:SERS.0000029096.90835.3f

López-Rodríguez, L., Cuadrado, I., & Navas, M. (2013). Aplicación extendida del Modelo del Contenido de los Estereotipos (MCE) hacia tres grupos de inmigrantes en España [Extended application of the Stereotype Content Model (SCM) towards three immigrant groups in Spain]. Estudios De Psicología, 34 (2), 197–208. https://doi.org/10.1174/021093913806751375

Martínez, C., & Paterna-Bleda, C. (2013). Masculinity ideology and gender equality: Considering neosexism. Anales De Psicología, 29 , 558–564. https://doi.org/10.6018/analesps.29.2.141311

Morgenroth, T., & Ryan, M. K. (2018a). Addressing gender inequality: Stumbling blocks and roads ahead. Group Processes & Intergroup Relations, 21 (5), 671–677. https://doi.org/10.1177/1368430218786079

Morgenroth, T., & Ryan, M. K. (2018b). Quotas and affirmative action: Understanding group-based outcomes and attitudes. Social and Personality Psychology Compass, 12 (3), e12374. https://doi.org/10.1111/spc3.12374

Moss-Racusin, C. A., Pietri, E. S., Hennes, E. P., Dovidio, J. F., Brescoll, V. L., Roussos, G., & Handelsman, J. (2018). Reducing STEM gender bias with VIDS (Video Interventions for Diversity in STEM). Journal of Experimental Psychology: Applied, 24 , 236–260. https://doi.org/10.1037/xap0000144

Moss-Racusin, C. A., van der Toorn, J., Dovidio, J. F., Brescoll, V. L., Graham, M. J., & Handelsman, J. (2016). A “scientific diversity” intervention to reduce gender bias in a sample of life scientists. CBE Life Sciences Education, 15 (3), 1–11. https://doi.org/10.1187/cbe.15-09-0187

Moya, M., & Expósito, F. (2001). Nuevas formas, viejos intereses. Neosexismo en varones españoles [New forms, old interests: Neosexism among Spanish men]. Psicothema, 13 , 668–674.

Petty, R. E., Schumann, D. W., Richman, S. A., & Strathman, A. J. (1993). Positive mood and persuasion: Different roles for affect under high- and low-elaboration conditions. Journal of Personality and Social Psychology, 64 (1), 5–20. https://doi.org/10.1037/0022-3514.64.1.5

Pietri, E. S., Moss-Racusin, C. A., Dovidio, J. F., Guha, D., Roussos, G., Brescoll, V. L., & Handelsman, J. (2017). Using video to increase gender bias literacy toward women in science. Psychology of Women Quarterly, 41 , 175–196. https://doi.org/10.1177/0361684316674721

Pratto, F., & Walker, A. (2004). The bases of gendered power. In A. H. Eagly, A. E. Beall, & R. J. Sternberg (Eds.), The psychology of gender (pp. 242–268). The Guilford Press.

PytlikZillig, L. M., Hutchens, M. J., Muhlberger, P., Gonzalez, F. J., & Tomkins, A. J. (2018). Attitude change and polarization. In Deliberative Public Engagement with Science. SpringerBriefs in Psychology. Springer. https://doi.org/10.1007/978-3-319-78160-0_4

Rains, S. A. (2013). The nature of psychological reactance revisited: A meta-analytic review. Human Communication Research, 39 , 47–73. https://doi.org/10.1111/j.1468-2958.2012.01443.x

Ross, L., Lepper, M., & Ward, A. (2010). History of social psychology: Insights, challenges, and contributions to theory and application. In S. T. Fiske, D. T. Gilbert, & G. Lindzey (Eds.), Handbook of social psychology (pp. 3–50). John Wiley & Sons. https://doi.org/10.1002/9780470561119.socpsy001001

Roy, R. E., Weibust, K. S., & Miller, C. T. (2007). Effects of stereotypes about feminists on feminist self-identification. Psychology of Women Quarterly, 31 (2), 146–156. https://doi.org/10.1111/j.1471-6402.2007.00348.x

Rusconi, P., Sacchi, S., Brambilla, M., Capellini, R., & Cherubini, P. (2020). Being honest and acting consistently: Boundary conditions of the negativity effect in the attribution of morality. Social Cognition, 38 , 146–178. https://doi.org/10.1521/soco.2020.38.2.146

Ruthig, J., Kehn, A., Gamblin, B., Vanderzanden, K., & Jones, K. (2017). When women’s gains equal men’s losses: Predicting a zero-sum perspective of gender status. Sex Roles, 76 (1–2), 17–26. https://doi.org/10.1007/s11199-016-0651-9

Saguy, T., & Szekeres, H. (2018). Changing minds via collective action: Exposure to the 2017 Women’s March predicts decrease in (some) men’s gender system justification over time. Group Processes & Intergroup Relations, 21 , 678–689. https://doi.org/10.1177/1368430217750475

Sayans‐Jiménez, P., Rojas, A. J., & Cuadrado, I. (2017). Is it advisable to include negative attributes to assess the stereotype content? Yes, but only in the morality dimension. Scandinavian Journal of Psychology , 58 (2), 170–178. https://doi.org/10.1111/sjop.12346

Sczesny, S., Formanowicz, M., & Moser, F. (2016). Can gender-fair language reduce gender stereotyping and discrimination? Frontiers in Psychology, 7 , 25. https://doi.org/10.3389/fpsyg.2016.00025

Shnabel, N., & Nadler, A. (2015). The role of agency and morality in reconciliation processes: The perspective of the needs-based model. Current Directions in Psychological Science, 24 (6), 477–483. https://doi.org/10.1177/0963721415601625

Sidanius, J., Sinclair, S., & Pratto, F. (2006). Social dominance orientation, gender, and increasing educational exposure. Journal of Applied Social Psychology, 36 , 1640–1653. https://doi.org/10.1111/j.0021-9029.2006.00074.x

Spoor, J. R., & Schmitt, M. T. (2011). “Things are getting better” isn’t always better: Considering women’s progress affects perceptions of and reactions to contemporary gender inequality. Basic and Applied Social Psychology, 33 (1), 24–36. https://doi.org/10.1080/01973533.2010.539948

Stewart, A. L. (2017). Men’s collective action willingness: Testing different theoretical models of protesting gender inequality for women and men. Psychology of Men & Masculinity, 18 (4), 372–381. https://doi.org/10.1037/men0000068

Tadmor, C. T., Hong, Y. Y., Chao, M. M., Wiruchnipawan, F., & Wang, W. (2012). Multicultural experiences reduce intergroup bias through epistemic unfreezing. Journal of Personality and Social Psychology, 103 (5), 750–772. https://doi.org/10.1037/a0029719

Tellhed, U., & Jansson, A. (2018). Communicating gender-equality progress, reduces social identity threats for women considering a research career. Social Sciences, 7 (2), 1–11. https://doi.org/10.3390/socsci7020018

Tougas, F., Brown, R., Beaton, A. M., & Joly, S. (1995). Neosexism: Plus ça change, plus c’est pareil. Personality and Social Psychology Bulletin, 21 (8), 842–849. https://doi.org/10.1177/0146167295218007

Tougas, F., Brown, R., Beaton, A. M., & St-Pierre, L. (1999). Neosexism among women: The role of personally experienced social mobility attempts. Personality and Social Psychology Bulletin, 25 (12), 1487–1497. https://doi.org/10.1177/01461672992510005

Valved, T., Kosakowska-Berezecka, N., Besta, T., & Martiny, S. E. (2021). Gender belief systems through the lens of culture—Differences in precarious manhood beliefs and reactions to masculinity threat in Poland and Norway. Psychology of Men & Masculinities, 22 (2), 265–276. https://doi.org/10.1037/men0000331

Van Bavel, J. J., & Pereira, A. (2018). The partisan brain: An identity-based model of political belief. Trends in Cognitive Sciences, 22 (3), 213–224. https://doi.org/10.1016/j.tics.2018.01.004

van Breen, J. A., Gocłowska, M. A., de Lemus, S., Baas, M., Kelleci, B., & Spears, R. (2021). Creativity for the group: Distinctive feminists engage in divergent thinking when acting on behalf of women. Social Psychological and Personality Science, 12 (4), 461–470. https://doi.org/10.1177/1948550620926414

van Breen, J. A., Spears, R., Kuppens, T., & de Lemus, S. (2017). A multiple identity approach to gender: Identification with women, identification with feminists, and their interaction. Frontiers in Psychology, 8 , 1019. https://doi.org/10.3389/fpsyg.2017.01019

van Zomeren, M., Postmes, T., & Spears, R. (2008). Toward an integrative social identity model of collective action: A quantitative research synthesis of three socio-psychological perspectives. Psychological Bulletin, 134 (4), 504–535. https://doi.org/10.1037/0033-2909.134.4.504

Wood, W., & Eagly, A. H. (2012). Biosocial construction of sex differences and similarities in behaviour. Advances in Experimental Social Psychology, 46 , 55–123. https://doi.org/10.1016/B978-0-12-394281-4.00002-7

Zawadzki, M. J., Shields, S. A., Danube, C. L., & Swim, J. K. (2014). Reducing the endorsement of sexism using experiential learning: The Workshop Activity for Gender Equity Simulation (WAGES). Psychology of Women Quarterly, 38 , 75–92. https://doi.org/10.1177/0361684313498573

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Cuadrado, I., Constantin, A.A., López-Rodríguez, L. et al. Achieving Equality or Persisting Inequality: Effects of Framing of Equality on Attitudes Toward Women and Gender Equality Through Identity Threat and Cognitive Unfreezing. Sex Roles 90 , 126–150 (2024). https://doi.org/10.1007/s11199-023-01432-3

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More Inclusive Gender Questions Added to the General Social Survey

The General Social Survey, or GSS, is one of the most important data sources for researchers studying American society. For the first time ever in its nearly 50-year history, the survey’s 2018 data release includes information on respondents’ self-identified sex and gender. The new data will allow researchers to measure the size of the transgender and gender non-binary populations and identify the challenges they face, information that can in turn shape public policy. The research of former Clayman Institute faculty fellow, Aliya Saperstein, supported this important change.

First fielded in 1972, the GSS is an especially important source of longitudinal data for social scientists. Longitudinal data derive value in part by asking identically worded questions at each time point. This allows researchers to attribute changes in how respondents answer demographic, attitudinal, and behavioral questions to real changes over time rather than to changes in question wording. Changing or adding questions is not simple. Old questions may be known to be valid, whereas new questions may pose challenges related to understandability and reliability. Researchers may be uncertain about whether new questions really measure what they believe they do. However, over time, old questions may not accurately reflect newer academic understandings of the concepts they are meant to measure. When budgets are fixed, survey designers make tradeoffs when deciding whether to keep an old question or update it.

On previous surveys, interviewers selected “male” or “female” on behalf of—and without directly asking—respondents. Yet, since the GSS’s first iteration, social scientists’ understanding of sex has changed markedly in ways that conflict with this measurement.

These tensions are embodied by the measurement of sex historically used by the GSS. On previous surveys, interviewers selected “male” or “female” on behalf of—and without directly asking—respondents. Yet, since the GSS’s first iteration, social scientists’ understanding of sex has changed markedly in ways that conflict with this measurement. For one, many scholars differentiate sex from gender. They understand sex to be based in biological factors, like anatomy, and comprised of categories like “male,” “female,” and “intersex.” Gender, on the other hand, involves behavioral expectations and is comprised of categories like “men,” “women,” “transgender,” and more. Additionally, social scientists acknowledge the importance of self-identification, and so seek to know how the respondent describes their own gender rather than how the interviewer describes it.

In recent years, sociologists have raised concerns about how surveys measure sex. Laurel Westbrook, associate professor of sociology at Grand Valley State University, and Aliya Saperstein, associate professor of sociology at Stanford University and former Clayman Institute faculty fellow, examined the questions used to measure sex on four of the largest and longest-running social science surveys, including the GSS. In an article published in Gender & Society in 2015, they critiqued survey questions for treating sex and gender as equivalent, immutable, and easily identified by others. According to Saperstein, precisely measuring sex and gender is an essential step in drawing attention to issues, like discrimination, faced by transgender and gender non-binary people. Saperstein said, “Whether we like it or not, numbers are what convince policymakers, what people turn to when they’re trying to make powerful rhetorical arguments about why something matters. They want a percentage.” Yet previously available data did not allow researchers to measure the size of the transgender and gender non-binary populations, let alone determine whether they are disadvantaged.

In the spring of 2014, Saperstein and Westbrook submitted a proposal to the GSS Board of Overseers to add several new questions related to sex and gender to the 2016 survey. Among these questions was a so-called two-step gender question, which asked respondents to separately identify the sex they were assigned at birth and their current gender. To illustrate that these questions were valid, Saperstein and Westbrook pre-tested the questions using national surveys. ( Their pre-test data is publicly available at openICPSR.) According to Saperstein, the board was unable to add their proposed questions to the 2016 GSS because of budgetary constraints.

Other sociologists had similar concerns about the sex measure on the GSS. D’Lane Compton, associate professor of sociology at the University of New Orleans, Kristen Schilt, associate professor of sociology at the University of Chicago, and Danya Lagos, doctoral candidate in sociology at the University of Chicago, submitted a proposal to add questions to the 2018 GSS. In addition to proposing several attitudinal questions, they advocated for the two-step gender question. Using previously published studies and other datasets, they provided evidence  to the members of the GSS Board of Overseers that the two-step question was reliable. Brian Powell, professor of sociology at Indiana University Bloomington and then-board member, said board members were concerned about measurement error—for instance, resulting from respondents misunderstanding the question—and small sample size. Still, many board members were convinced that the sex question historically used by the GSS did not accurately reflect the experience of some people in the United States and needed to be changed. “I think it’s worth it, and the board thought it was worth it,” Powell said.

The two-step gender question was adopted by the board and fielded in 2018. The adoption represents, in Powell’s words, a “truly collective effort” between the sociologists who advocated for the change, the GSS Board of Overseers, the GSS principal investigators, funders of the GSS such as the National Science Foundation, and NORC, the independent research organization at the University of Chicago that runs the GSS. Westbrook credits a number of researchers for advocating for the change in recent years, including Clayman Institute Director Shelley J. Correll and Stanford Professor (Emerita) of Social Sciences Cecilia Ridgeway, as well as Powell, Compton, Schilt and Lagos.

The two-step gender question was fielded to just over 1,400 respondents. The first question reads, “What sex were you assigned at birth? (For example, on your birth certificate)” and allows respondents to select “Female,” “Male,” “Intersex,” or “No answer.” The second question asks, “What is your current gender?” Respondents were able to select “Woman,” “Man,” “Transgender,” “A gender not listed here,” and “No answer.”

The 2018 data was released in March of this year, so researchers already can access its more than 1,000 variables, including the new two-step gender question. Saperstein said that nine, or 0.6%, of the 1,397 respondents who answered the two-step gender questions can be considered transgender or gender non-binary. Saperstein noted that, because of the small sample size, the data cannot yet be used to answer the most pressing, statistical questions about the transgender and gender non-binary populations. Researchers will have to wait for future data releases, which also will include the two-step gender question. For now, Saperstein said, “Just having the questions on the survey offers a different kind of a power, a kind of symbolic power that recognizes the actual gender diversity of the population.” 

The data eventually can be used to assess any disadvantages transgender and gender non-binary people are experiencing, which can be used to shape public policy. Compton, the sociologist from the University of New Orleans, said, “I think if we want to make real change and have resources and rights, we do need to have these numbers. Those are important.” 

(photo by Zackary Drucker for The Gender Spectrum Collection)

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Frequently asked questions about gender equality

Resource date: 2005

Author: UNFPA

What is meant by gender?

The term gender refers to the economic, social and cultural attributes and opportunities associated with being male or female. In most societies, being a man or a woman is not simply a matter of different biological and physical characteristics. Men and women face different expectations about how they should dress, behave or work. Relations between men and women, whether in the family, the workplace or the public sphere, also reflect understandings of the talents, characteristics and behaviour appropriate to women and to men. Gender thus differs from sex in that it is social and cultural in nature rather than biological. Gender attributes and characteristics, encompassing, inter alia, the roles that men and women play and the expectations placed upon them, vary widely among societies and change over time. But the fact that gender attributes are socially constructed means that they are also amenable to change in ways that can make a society more just and equitable.

What is the difference between gender equity, gender equality and women’s empowerment?

Gender equity is the process of being fair to women and men. To ensure fairness, strategies and measures must often be available to compensate for women’s historical and social disadvantages that prevent women and men from otherwise operating on a level playing field. Equity leads to equality. Gender equality requires equal enjoyment by women and men of socially-valued goods, opportunities, resources and rewards. Where gender inequality exists, it is generally women who are excluded or disadvantaged in relation to decision-making and access to economic and social resources. Therefore a critical aspect of promoting gender equality is the empowerment of women, with a focus on identifying and redressing power imbalances and giving women more autonomy to manage their own lives. Gender equality does not mean that men and women become the same; only that access to opportunities and life changes is neither dependent on, nor constrained by, their sex. Achieving gender equality requires women’s empowerment to ensure that decision-making at private and public levels, and access to resources are no longer weighted in men’s favour, so that both women and men can fully participate as equal partners in productive and reproductive life.

Why is it important to take gender concerns into account in programme design and implementation?

Taking gender concerns into account when designing and implementing population and development programmes therefore is important for two reasons. First, there are differences between the roles of men and women, differences that demand different approaches. Second, there is systemic inequality between men and women. Universally, there are clear patterns of women’s inferior access to resources and opportunities. Moreover, women are systematically under-represented in decision-making processes that shape their societies and their own lives. This pattern of inequality is a constraint to the progress of any society because it limits the opportunities of one-half of its population. When women are constrained from reaching their full potential, that potential is lost to society as a whole. Programme design and implementation should endeavour to address either or both of these factors.

What is gender mainstreaming?

Gender mainstreaming is a strategy for integrating gender concerns in the analysis, formulation and monitoring of policies, programmes and projects. It is therefore a means to an end, not an end in itself; a process, not a goal. The purpose of gender mainstreaming is to promote gender equality and the empowerment of women in population and development activities. This requires addressing both the condition, as well as the position, of women and men in society. Gender mainstreaming therefore aims to strengthen the legitimacy of gender equality values by addressing known gender disparities and gaps in such areas as the division of labour between men and women; access to and control over resources; access to services, information and opportunities; and distribution of power and decision-making. UNFPA has adopted the mainstreaming of gender concerns into all population and development activities as the primary means of achieving the commitments on gender equality, equity and empowerment of women stemming from the International Conference on Population and Development.

Gender mainstreaming, as a strategy, does not preclude interventions that focus only on women or only on men. In some instances, the gender analysis that precedes programme design and development reveals severe inequalities that call for an initial strategy of sex-specific interventions. However, such sex-specific interventions should still aim to reduce identified gender disparities by focusing on equality or inequity as the objective rather than on men or women as a target group. In such a context, sex-specific interventions are still important aspects of a gender mainstreaming strategy. When implemented correctly, they should not contribute to a marginalization of men in such a critical area as access to reproductive and sexual health services. Nor should they contribute to the evaporation of gains or advances already secured by women. Rather, they should consolidate such gains that are central building blocks towards gender equality.

Why is gender equality important?

Gender equality is intrinsically linked to sustainable development and is vital to the realization of human rights for all. The overall objective of gender equality is a society in which women and men enjoy the same opportunities, rights and obligations in all spheres of life. Equality between men and women exists when both sexes are able to share equally in the distribution of power and influence; have equal opportunities for financial independence through work or through setting up businesses; enjoy equal access to education and the opportunity to develop personal ambitions, interests and talents; share responsibility for the home and children and are completely free from coercion, intimidation and gender-based violence both at work and at home.

Within the context of population and development programmes, gender equality is critical because it will enable women and men to make decisions that impact more positively on their own sexual and reproductive health as well as that of their spouses and families. Decision-making with regard to such issues as age at marriage, timing of births, use of contraception, and recourse to harmful practices (such as female genital cutting) stands to be improved with the achievement of gender equality.

However it is important to acknowledge that where gender inequality exists, it is generally women who are excluded or disadvantaged in relation to decision-making and access to economic and social resources. Therefore a critical aspect of promoting gender equality is the empowerment of women, with a focus on identifying and redressing power imbalances and giving women more autonomy to manage their own lives. This would enable them to make decisions and take actions to achieve and maintain their own reproductive and sexual health. Gender equality and women’s empowerment do not mean that men and women become the same; only that access to opportunities and life changes is neither dependent on, nor constrained by, their sex.

Is gender equality a concern for men?

The achievement of gender equality implies changes for both men and women. More equitable relationships will need to be based on a redefinition of the rights and responsibilities of women and men in all spheres of life, including the family, the workplace and the society at large. It is therefore crucial not to overlook gender as an aspect of men’s social identity. This fact is, indeed, often overlooked, because the tendency is to consider male characteristics and attributes as the norm, and those of women as a variation of the norm.

But the lives of men are just as strongly influenced by gender as those of women. Societal norms and conceptions of masculinity and expectations of men as leaders, husbands or sons create demands on men and shape their behaviour. Men are too often expected to concentrate on the material needs of their families, rather than on the nurturing and caring roles assigned to women. Socialization in the family and later in schools promotes risk-taking behaviour among young men, and this is often reinforced through peer pressure and media stereotypes. So the lifestyles that men’s roles demand often result in their being more exposed to greater risks of morbidity and mortality than women. These risks include ones relating to accidents, violence and alcohol consumption.

Men also have the right to assume a more nurturing role, and opportunities for them to do so should be promoted. Equally, however, men have responsibilities in regard to child health and to their own and their partners’ sexual and reproductive health. Addressing these rights and responsibilities entails recognizing men’s specific health problems, as well as their needs and the conditions that shape them. The adoption of a gender perspective is an important first step; it reveals that there are disadvantages and costs to men accruing from patterns of gender difference. It also underscores that gender equality is concerned not only with the roles, responsibilities and needs of women and men, but also with the interrelationships between them.

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100 Gender Research Topics For Academic Papers

Gender research topics are very popular across the world. Students in different academic disciplines are often asked to write papers and essays about these topics. Some of the disciplines that require learners to write about gender topics include:

Sociology Psychology Gender studies Business studies

When pursuing higher education in these disciplines, learners can choose what to write about from a wide range of gender issues topics. However, the wide range of issues that learners can research and write about when it comes to gender makes choosing what to write about difficult. Here is a list of the top 100 gender and sexuality topics that students can consider.

Controversial Gender Research Topics

Do you like the idea of writing about something controversial? If yes, this category has some of the best gender topics to write about. They touch on issues like gender stereotypes and issues that are generally associated with members of a specific gender. Here are some of the best controversial gender topics that you can write about.

• How human behavior is affected by gender misconceptions
• How are straight marriages influenced by gay marriages
• Explain the most common sex-role stereotypes
• What are the effects of workplace stereotypes?
• What issues affect modern feminism?
• How sexuality affects sex-role stereotyping
• How does the media break sex-role stereotypes
• Explain the dual approach to equality between women and men
• What are the most outdated sex-role stereotypes
• Are men better than women?
• How equal are men and women?
• How do politics and sexuality relate?
• How can films defy gender-based stereotypes
• What are the advantages of being a woman?
• What are the disadvantages of being a woman?
• What are the advantages of being a man?
• Discuss the disadvantages of being a woman
• Should governments legalize prostitution?
• Explain how sexual orientation came about?
• Women communicate better than men
• Women are the stronger sex
• Explain how the world can be made better for women
• Discuss the future gender norms
• How important are sex roles in society
• Discuss the transgender and feminism theory
• How does feminism help in the creation of alternative women’s culture?
• Gender stereotypes in education and science
• Discuss racial variations when it comes to gender-related attitudes
• Women are better leaders
• Men can’t survive without women

This category also has some of the best gender debate topics. However, learners should be keen to pick topics they are interested in. This will enable them to ensure that they enjoy the research and writing process.

Interesting Gender Inequality Topics

Gender-based inequality is witnessed almost every day. As such, most learners are conversant with gender inequality research paper topics. However, it’s crucial to pick topics that are devoid of discrimination of members of a specific gender. Here are examples of gender inequality essay topics.

• Sex discrimination aspects in schools
• How to identify inequality between sexes
• Sex discrimination causes
• The inferior role played by women in relationships
• Discuss sex differences in the education system
• How can gender discrimination be identified in sports?
• Can inequality issues between men and women be solved through education?
• Why are professional opportunities for women in sports limited?
• Why are there fewer women in leadership positions?
• Discuss gender inequality when it comes to work-family balance
• How does gender-based discrimination affect early childhood development?
• Can sex discrimination be reduced by technology?
• How can sex discrimination be identified in a marriage?
• Explain where sex discrimination originates from
• Discuss segregation and motherhood in labor markets
• Explain classroom sex discrimination
• How can inequality in American history be justified?
• Discuss different types of sex discrimination in modern society
• Discuss various factors that cause gender-based inequality
• Discuss inequality in human resource practices and processes
• Why is inequality between women and men so rampant in developing countries?
• How can governments bridge gender gaps between women and men?
• Work-home conflict is a sign of inequality between women and men
• Explain why women are less wealthy than men
• How can workplace gender-based inequality be addressed?

After choosing the gender inequality essay topics they like, students should research, brainstorm ideas, and come up with an outline before they start writing. This will ensure that their essays have engaging introductions and convincing bodies, as well as, strong conclusions.

Amazing Gender Roles Topics for Academic Papers and Essays

This category has ideas that slightly differ from gender equality topics. That’s because equality or lack of it can be measured by considering the representation of both genders in different roles. As such, some gender roles essay topics might not require tiresome and extensive research to write about. Nevertheless, learners should take time to gather the necessary information required to write about these topics. Here are some of the best gender topics for discussion when it comes to the roles played by men and women in society.

• Describe gender identity
• Describe how a women-dominated society would be
• Compare gender development theories
• How equally important are maternity and paternity levees for babies?
• How can gender-parity be achieved when it comes to parenting?
• Discuss the issues faced by modern feminism
• How do men differ from women emotionally?
• Discuss gender identity and sexual orientation
• Is investing in the education of girls beneficial?
• Explain the adoption of gender-role stereotyped behaviors
• Discuss games and toys for boys and girls
• Describe patriarchal attitudes in families
• Explain patriarchal stereotypes in family relationships
• What roles do women and men play in politics?
• Discuss sex equity and academic careers
• Compare military career opportunities for both genders
• Discuss the perception of women in the military
• Describe feminine traits
• Discus gender-related issues faced by women in gaming
• Men should play major roles in the welfare of their children
• Explain how the aging population affects the economic welfare of women?
• What has historically determined modern differences in gender roles?
• Does society need stereotyped gender roles?
• Does nature have a role to play in stereotyped gender roles?
• The development and adoption of gender roles

The list of gender essay topics that are based on the roles of each sex can be quite extensive. Nevertheless, students should be keen to pick interesting gender topics in this category.

Important Gender Issues Topics for Research Paper

If you want to write a paper or essay on an important gender issue, this category has the best ideas for you. Students can write about different issues that affect individuals of different genders. For instance, this category can include gender wage gap essay topics. Wage variation is a common issue that affects women in different countries. Some of the best gender research paper topics in this category include:

• Discuss gender mainstreaming purpose
• Discuss the issue of gender-based violence
• Why is the wage gap so common in most countries?
• How can society promote equality in opportunities for women and men in sports?
• Explain what it means to be transgender
• Discuss the best practices of gender-neutral management
• What is women’s empowerment?
• Discuss how human trafficking affects women
• How problematic is gender-blindness for women?
• What does the glass ceiling mean in management?
• Why are women at a higher risk of sexual exploitation and violence?
• Why is STEM uptake low among women?
• How does ideology affect the determination of relations between genders
• How are sporting women fighting for equality?
• Discuss sports, women, and media institutions
• How can cities be made safer for girls and women?
• Discuss international trends in the empowerment of women
• How do women contribute to the world economy?
• Explain how feminism on different social relations unites men and women as groups
• Explain how gender diversity influence scientific discovery and innovation

This category has some of the most interesting women’s and gender studies paper topics. However, most of them require extensive research to come up with hard facts and figures that will make academic papers or essays more interesting.

Students in high schools and colleges can pick what to write about from a wide range of gender studies research topics. However, some gender studies topics might not be ideal for some learners based on the given essay prompt. Therefore, make sure that you have understood what the educator wants you to write about before you pick a topic. Our experts can help you choose a good thesis topic . Choosing the right gender studies topics enables learners to answer the asked questions properly. This impresses educators to award them top grades.

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Why Gender Inequality Persists: What Nobel Prize-Winning Research on the Gender Pay Gap Can Teach Us in Pathology and Laboratory Medicine

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Abiana Adamson, Amanda Borgen, Simone Arvisais-Anhalt, Why Gender Inequality Persists: What Nobel Prize-Winning Research on the Gender Pay Gap Can Teach Us in Pathology and Laboratory Medicine, Clinical Chemistry , Volume 70, Issue 4, April 2024, Pages 685–686, https://doi.org/10.1093/clinchem/hvad225

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On October 9, 2023, The Royal Swedish Academy of Sciences awarded Claudia Goldin, PhD, the Nobel Memorial Prize in Economic Sciences for, “having advanced our understanding of women’s labour market outcomes” ( 1). She is the third woman to receive the Nobel Prize in economics and the first woman to receive the award solo. Dr. Goldin’s groundbreaking research has identified causes of the gender pay gap in the United States over the last 200 years by analyzing large, archival datasets, and uncovering misunderstandings of more common historical datasets. Dr. Goldin’s exploration of why women continue to earn less than men is pivotal to understanding the persistent gender pay gap in the healthcare professions.

Although there were times in US history when a gender pay gap could be attributed to occupational choices or educational attainment, the bulk of present-day earnings differences exists within the same occupations where both men and women have the same education, skills, and experience. This gap in pay is largest in high-earning occupations, such as medicine and law. Dr. Goldin identified that earnings for men and women are initially equivalent at the beginning of careers, but a gap emerges after marriage and a woman’s first child. This gap persists over time ( 2).

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10 QUESTIONS ON GENDER EQUALITY IN EDUCATION

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An estimated 132 million girls are out of school around the world.

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Why are so many girls out of school globally? The barriers to girls’ education are complex, and differ from community to community. Some of the gender-specific barriers to education faced by girls include harmful social and gender norms, child marriage, conflict and instability, child labour, and the cost of education.

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Gender inequalities in the workplace: the effects of organizational structures, processes, practices, and decision makers’ sexism

Gender inequality in organizations is a complex phenomenon that can be seen in organizational structures, processes, and practices. For women, some of the most harmful gender inequalities are enacted within human resources (HRs) practices. This is because HR practices (i.e., policies, decision-making, and their enactment) affect the hiring, training, pay, and promotion of women. We propose a model of gender discrimination in HR that emphasizes the reciprocal nature of gender inequalities within organizations. We suggest that gender discrimination in HR-related decision-making and in the enactment of HR practices stems from gender inequalities in broader organizational structures, processes, and practices. This includes leadership, structure, strategy, culture, organizational climate, as well as HR policies. In addition, organizational decision makers’ levels of sexism can affect their likelihood of making gender biased HR-related decisions and/or behaving in a sexist manner while enacting HR practices. Importantly, institutional discrimination in organizational structures, processes, and practices play a pre-eminent role because not only do they affect HR practices, they also provide a socializing context for organizational decision makers’ levels of hostile and benevolent sexism. Although we portray gender inequality as a self-reinforcing system that can perpetuate discrimination, important levers for reducing discrimination are identified.

Introduction

The workplace has sometimes been referred to as an inhospitable place for women due to the multiple forms of gender inequalities present (e.g., Abrams, 1991 ). Some examples of how workplace discrimination negatively affects women’s earnings and opportunities are the gender wage gap (e.g., Peterson and Morgan, 1995 ), the dearth of women in leadership ( Eagly and Carli, 2007 ), and the longer time required for women (vs. men) to advance in their careers ( Blau and DeVaro, 2007 ). In other words, workplace discrimination contributes to women’s lower socio-economic status. Importantly, such discrimination against women largely can be attributed to human resources (HR) policies and HR-related decision-making. Furthermore, when employees interact with organizational decision makers during HR practices, or when they are told the outcomes of HR-related decisions, they may experience personal discrimination in the form of sexist comments. Both the objective disadvantages of lower pay, status, and opportunities at work, and the subjective experiences of being stigmatized, affect women’s psychological and physical stress, mental and physical health ( Goldenhar et al., 1998 ; Adler et al., 2000 ; Schmader et al., 2008 ; Borrel et al., 2010 ),job satisfaction and organizational commitment ( Hicks-Clarke and Iles, 2000 ), and ultimately, their performance ( Cohen-Charash and Spector, 2001 ).

Within this paper, we delineate the nature of discrimination within HR policies, decisions, and their enactment, as well as explore the causes of such discrimination in the workplace. Our model is shown in Figure ​ Figure1 1 . In the Section “Discrimination in HR Related Practices: HR Policy, Decisions, and their Enactment,” we explain the distinction between HR policy, HR-related decision-making, and HR enactment and their relations to each other. Gender inequalities in HR policy are a form of institutional discrimination. We review evidence of institutional discrimination against women within HR policies set out to determine employee selection, performance evaluations, and promotions. In contrast, discrimination in HR-related decisions and their enactment can result from organizational decision makers’ biased responses: it is a form of personal discrimination. Finally, we provide evidence of personal discrimination against women by organizational decision makers in HR-related decision-making and in the enactment of HR policies.

A model of the root causes of gender discrimination in HR policies, decision-making, and enactment .

In the Section “The Effect of Organizational Structures, Processes, and Practices on HR Practices,” we focus on the link between institutional discrimination in organizational structures, processes, and practices that can lead to personal discrimination in HR practices (see Figure ​ Figure1 1 ). Inspired by the work of Gelfand et al. (2007) , we propose that organizational structures, processes, and practices (i.e., leadership, structure, strategy, culture, climate, and HR policy) are interrelated and may contribute to discrimination. Accordingly, gender inequalities in each element can affect the others, creating a self-reinforcing system that can perpetuate institutional discrimination throughout the organization and that can lead to discrimination in HR policies, decision-making, and enactment. We also propose that these relations between gender inequalities in the organizational structures, processes, and practices and discrimination in HR practices can be bidirectional (see Figure ​ Figure1 1 ). Thus, we also review how HR practices can contribute to gender inequalities in organizational structures, processes, and practices.

In the Section “The Effect of Hostile and Benevolent Sexism on How Organizational Decision Makers’ Conduct HR Practices,” we delineate the link between organizational decision makers’ levels of sexism and their likelihood of making gender-biased HR-related decisions and/or behaving in a sexist manner when enacting HR policies (e.g., engaging in gender harassment). We focus on two forms of sexist attitudes: hostile and benevolent sexism ( Glick and Fiske, 1996 ). Hostile sexism involves antipathy toward, and negative stereotypes about, agentic women. In contrast, benevolent sexism involves positive but paternalistic views of women as highly communal. Whereas previous research on workplace discrimination has focused on forms of sexism that are hostile in nature, we extend this work by explaining how benevolent sexism, which is more subtle, can also contribute in meaningful yet distinct ways to gender discrimination in HR practices.

In the Section “The Effect of Organizational Structures, Processes, and Practices on Organizational Decision Makers’ Levels of Hostile and Benevolent Sexism,” we describe how institutional discrimination in organizational structures, processes, and practices play a critical role in our model because not only do they affect HR-related decisions and the enactment of HR policies, they also provide a socializing context for organizational decision makers’ levels of hostile and benevolent sexism. In other words, where more institutional discrimination is present, we can expect higher levels of sexism—a third link in our model—which leads to gender bias in HR practices.

In the Section “How to Reduce Gender Discrimination in Organizations,” we discuss how organizations can reduce gender discrimination. We suggest that, to reduce discrimination, organizations should focus on: HR practices, other closely related organizational structures, processes, and practices, and the reduction of organizational decision makers’ level of sexism. Organizations should take such a multifaceted approach because, consistent with our model, gender discrimination is a result of a complex interplay between these factors. Therefore, a focus on only one factor may not be as effective if all the other elements in the model continue to promote gender inequality.

The model we propose for understanding gender inequalities at work is, of course, limited and not intended to be exhaustive. First, we only focus on women’s experience of discrimination. Although men also face discrimination, the focus of this paper is on women because they are more often targets ( Branscombe, 1998 ; Schmitt et al., 2002 ; McLaughlin et al., 2012 ) and discrimination is more psychologically damaging for women than for men ( Barling et al., 1996 ; Schmitt et al., 2002 ). Furthermore, we draw on research from Western, individualistic countries conducted between the mid-1980s to the mid-2010s that might not generalize to other countries or time frames. In addition, this model derives from research that has been conducted primarily in sectors dominated by men. This is because gender discrimination ( Mansfield et al., 1991 ; Welle and Heilman, 2005 ) and harassment ( Mansfield et al., 1991 ; Berdhal, 2007 ) against women occur more in environments dominated by men. Now that we have outlined the sections of the paper and our model, we now turn to delineating how gender discrimination in the workplace can be largely attributed to HR practices.

Discrimination in HR Related Practices: HR Policy, Decisions, and their Enactment

In this section, we explore the nature of gender discrimination in HR practices, which involves HR policies, HR-related decision-making, and their enactment by organizational decision makers. HR is a system of organizational practices aimed at managing employees and ensuring that they are accomplishing organizational goals ( Wright et al., 1994 ). HR functions include: selection, performance evaluation, leadership succession, and training. Depending on the size and history of the organization, HR systems can range from those that are well structured and supported by an entire department, led by HR specialists, to haphazard sets of policies and procedures enacted by managers and supervisors without formal training. HR practices are critically important because they determine the access employees have to valued reward and outcomes within an organization, and can also influence their treatment within an organization ( Levitin et al., 1971 ).

Human resource practices can be broken down into formal HR policy, HR-related decision-making, and the enactment of HR policies and decisions. HR policy codifies practices for personnel functions, performance evaluations, employee relations, and resource planning ( Wright et al., 1994 ). HR-related decision-making occurs when organizational decision makers (i.e., managers, supervisors, or HR personnel) employ HR policy to determine how it will be applied to a particular situation and individual. The enactment of HR involves the personal interactions between organizational decision makers and job candidates or employees when HR policies are applied. Whereas HR policy can reflect institutional discrimination, HR-related decision-making and enactment can reflect personal discrimination by organizational decision makers.

Institutional Discrimination in HR Policy

Human resource policies that are inherently biased against a group of people, regardless of their job-related knowledge, skills, abilities, and performance can be termed institutional discrimination. Institutional discrimination against women can occur in each type of HR policy from the recruitment and selection of an individual into an organization, through his/her role assignments, training, pay, performance evaluations, promotion, and termination. For instance, if women are under-represented in a particular educational program or a particular job type and those credentials or previous job experience are required to be considered for selection, women are being systematically, albeit perhaps not intentionally, discriminated against. In another example, there is gender discrimination if a test is used in the selection battery for which greater gender differences emerge, than those that emerge for job performance ratings ( Hough et al., 2001 ). Thus, institutional discrimination can be present within various aspects of HR selection policy, and can negatively affect women’s work outcomes.

Institutional discrimination against women also occurs in performance evaluations that are used to determine organizational rewards (e.g., compensation), opportunities (e.g., promotion, role assignments), and punishments (e.g., termination). Gender discrimination can be formalized into HR policy if criteria used by organizational decision makers to evaluate job performance systematically favor men over women. For instance, “face time” is a key performance metric that rewards employees who are at the office more than those who are not. Given that women are still the primary caregivers ( Acker, 1990 ; Fuegen et al., 2004 ), women use flexible work arrangements more often than men and, consequently, face career penalties because they score lower on face time ( Glass, 2004 ). Thus, biased criteria in performance evaluation policies can contribute to gender discrimination.

Human resource policies surrounding promotions and opportunities for advancement are another area of concern. In organizations with more formal job ladders that are used to dictate and constrain workers’ promotion opportunities, women are less likely to advance ( Perry et al., 1994 ). This occurs because job ladders tend to be divided by gender, and as such, gender job segregation that is seen at entry-level positions will be strengthened as employees move up their specific ladder with no opportunity to cross into other lines of advancement. Thus, women will lack particular job experiences that are not available within their specific job ladders, making them unqualified for advancement ( De Pater et al., 2010 ).

In sum, institutional discrimination can be present within HR policies set out to determine employee selection, performance evaluations, and promotions. These policies can have significant effects on women’s careers. However, HR policy can only be used to guide HR-related decision-making. In reality, it is organizational decision-makers, that is, managers, supervisors, HR personnel who, guided by policy, must evaluate job candidates or employees and decide how policy will be applied to individuals.

Personal Discrimination in HR-Related Decision-Making

The practice of HR-related decision-making involves social cognition in which others’ competence, potential, and deservingness are assessed by organizational decision makers. Thus, like all forms of social cognition, HR-related decision-making is open to personal biases. HR-related decisions are critically important because they determine women’s pay and opportunities at work (e.g., promotions, training opportunities). Personal discrimination against women by organizational decision makers can occur in each stage of HR-related decision-making regarding recruitment and selection, role assignments, training opportunities, pay, performance evaluation, promotion, and termination.

Studies with varying methodologies show that women face personal discrimination when going through the selection process (e.g., Goldberg, 1968 ; Rosen and Jerdee, 1974 ). Meta-analyses reveal that, when being considered for male-typed (i.e., male dominated, believed-to-be-for-men) jobs, female candidates are evaluated more negatively and recommended for employment less often by study participants, compared with matched male candidates (e.g., Hunter et al., 1982 ; Tosi and Einbender, 1985 ; Olian et al., 1988 ; Davison and Burke, 2000 ). For example, in audit studies, which involve sending ostensibly real applications for job openings while varying the gender of the applicant, female applicants are less likely to be interviewed or called back, compared with male applicants (e.g., McIntyre et al., 1980 ; Firth, 1982 ). In a recent study, male and female biology, chemistry, and physics professors rated an undergraduate science student for a laboratory manager position ( Moss-Racusin et al., 2012 ). The male applicant was rated as significantly more competent and hireable, offered a higher starting salary (about $4000), and offered more career mentoring than the female applicant was. In summary, women face a distinct disadvantage when being considered for male-typed jobs.

There is ample evidence that women experience biased performance evaluations on male-typed tasks. A meta-analysis of experimental studies reveals that women in leadership positions receive lower performance evaluations than matched men; this is amplified when women act in a stereotypically masculine, that is, agentic fashion ( Eagly et al., 1992 ). Further, in masculine domains, women are held to a higher standard of performance than men are. For example, in a study of military cadets, men and women gave their peers lower ratings if they were women, despite having objectively equal qualifications to men ( Boldry et al., 2001 ). Finally, women are evaluated more poorly in situations that involve complex problem solving; in these situations, people are skeptical regarding women’s expertise and discredit expert women’s opinions but give expert men the benefit of the doubt ( Thomas-Hunt and Phillips, 2004 ).

Sometimes particular types of women are more likely to be discriminated against in selection and performance evaluation decisions. Specifically, agentic women, that is, those who behave in an assertive, task-oriented fashion, are rated as less likeable and less hireable than comparable agentic male applicants ( Heilman and Okimoto, 2007 ; Rudman and Phelan, 2008 ; Rudman et al., 2012 ). In addition, there is evidence of discrimination against pregnant women when they apply for jobs ( Hebl et al., 2007 ; Morgan et al., 2013 ). Further, women who are mothers are recommended for promotion less than women who are not mothers or men with or without children ( Heilman and Okimoto, 2008 ). Why might people discriminate specifically against agentic women and pregnant women or mothers, who are seemingly very different? The stereotype content model, accounts for how agentic women, who are perceived to be high in competence and low in warmth, will be discriminated against because of feelings of competition; whereas, pregnant women and mothers, who are seen as low in competence, but high in warmth, will be discriminated against because of a perceived lack of deservingness ( Fiske et al., 1999 , 2002 ; Cuddy et al., 2004 ). Taken together, research has uncovered that different forms of bias toward specific subtypes of women have the same overall effect—bias in selection and performance evaluation decisions.

Women are also likely to receive fewer opportunities at work, compared with men, resulting in their under-representation at higher levels of management and leadership within organizations ( Martell et al., 1996 ; Eagly and Carli, 2007 ). Managers give women fewer challenging roles and fewer training opportunities, compared with men ( King et al., 2012 ; Glick, 2013 ). For instance, female managers ( Lyness and Thompson, 1997 ) and midlevel workers ( De Pater et al., 2010 ) have less access to high-level responsibilities and challenges that are precursors to promotion. Further, men are more likely to be given key leadership assignments in male-dominated fields and in female-dominated fields (e.g., Maume, 1999 ; De Pater et al., 2010 ). This is detrimental given that challenging roles, especially developmental ones, help employees gain important skills needed to excel in their careers ( Spreitzer et al., 1997 ).

Furthermore, managers rate women as having less promotion potential than men ( Roth et al., 2012 ). Given the same level of qualifications, managers are less likely to grant promotions to women, compared with men ( Lazear and Rosen, 1990 ). Thus, men have a faster ascent in organizational hierarchies than women ( Cox and Harquail, 1991 ; Stroh et al., 1992 ; Blau and DeVaro, 2007 ). Even minimal amounts of gender discrimination in promotion decisions for a particular job or level can have large, cumulative effects given the pyramid structure of most hierarchical organizations ( Martell et al., 1996 ; Baxter and Wright, 2000 ). Therefore, discrimination by organizational decision makers results in the under-promotion of women.

Finally, women are underpaid, compared with men. In a comprehensive US study using data from 1983 to 2000, after controlling for human capital factors that could affect wages (e.g., education level, work experience), the researchers found that women were paid 22% less than men ( U.S. Government Accountability Office, 2003 ). Further, within any given occupation, men typically have higher wages than women; this “within-occupation” wage gap is especially prominent in more highly paid occupations ( U.S. Census Bureau, 2007 ). In a study of over 2000 managers, women were compensated less than men were, even after controlling for a number of human capital factors ( Ostroff and Atwater, 2003 ). Experimental work suggests that personal biases by organizational decision makers contribute to the gender wage gap. When participants are asked to determine starting salaries for matched candidates that differ by gender, they pay men more (e.g., Steinpreis et al., 1999 ; Moss-Racusin et al., 2012 ). Such biases are consequential because starting salaries determine life-time earnings ( Gerhart and Rynes, 1991 ). In experimental studies, when participants evaluate a man vs. a woman who is matched on job performance, they choose to compensate men more ( Marini, 1989 ; Durden and Gaynor, 1998 ; Lips, 2003 ). Therefore, discrimination in HR-related decision-making by organizational decision makers can contribute to women being paid less than men are.

Taken together, we have shown that there is discrimination against women in decision-making related to HR. These biases from organizational decision makers can occur in each stage of HR-related decision-making and these biased HR decisions have been shown to negatively affect women’s pay and opportunities at work. In the next section, we review how biased HR practices are enacted, which can involve gender harassment.

Personal Discrimination in HR Enactment

By HR enactment, we refer to those situations where current or prospective employees go through HR processes or when they receive news of their outcomes from organizational decision makers regarding HR-related issues. Personal gender discrimination can occur when employees are given sexist messages, by organizational decision makers, related to HR enactment. More specifically, this type of personal gender discrimination is termed gender harassment, and consists of a range of verbal and non-verbal behaviors that convey sexist, insulting, or hostile attitudes about women ( Fitzgerald et al., 1995a , b ). Gender harassment is the most common form of sex-based discrimination ( Fitzgerald et al., 1988 ; Schneider et al., 1997 ). For example, across the military in the United States, 52% of the 9,725 women surveyed reported that they had experienced gender harassment in the last year ( Leskinen et al., 2011 , Study 1). In a random sample of attorneys from a large federal judicial circuit, 32% of the 1,425 women attorneys surveyed had experienced gender harassment in the last 5 years ( Leskinen et al., 2011 , Study 2). When examining women’s experiences of gender harassment, 60% of instances were perpetrated by their supervisor/manager or a person in a leadership role (cf. Crocker and Kalemba, 1999 ; McDonald et al., 2008 ). Thus, personal discrimination in the form of gender harassment is a common behavior; however, is it one that organizational decision makers engage in when enacting HR processes and outcomes?

Although it might seem implausible that organizational decision makers would convey sexist sentiments to women when giving them the news of HR-related decisions, there have been high-profile examples from discrimination lawsuits where this has happened. For example, in a class action lawsuit against Walmart, female workers claimed they were receiving fewer promotions than men despite superior qualifications and records of service. In that case, the district manager was accused of confiding to some of the women who were overlooked for promotions that they were passed over because he was not in favor of women being in upper management positions ( Wal-Mart Stores, Inc. v. Dukes, 2004/2011 ). In addition, audit studies, wherein matched men and women apply to real jobs, have revealed that alongside discrimination ( McIntyre et al., 1980 ; Firth, 1982 ; Moss-Racusin et al., 2012 ), women experience verbal gender harassment when applying for sex atypical jobs, such as sexist comments as well as skeptical or discouraging responses from hiring staff ( Neumark, 1996 ). Finally, gender harassment toward women when HR policies are enacted can also take the form of offensive comments and denying women promotions due to pregnancy or the chance of pregnancy. For example, in Moore v. Alabama , an employee was 8 months pregnant and the woman’s supervisor allegedly looked at her belly and said “I was going to make you head of the office, but look at you now” ( Moore v. Alabama State University, 1996 , p. 431; Williams, 2003 ). Thus, organizational decision makers will at times convey sexist sentiments to women when giving them the news of HR-related decisions.

Interestingly, whereas discrimination in HR policy and in HR-related decision-making is extremely difficult to detect ( Crosby et al., 1986 ; Major, 1994 ), gender harassment in HR enactment provides direct cues to recipients that discrimination is occurring. In other words, although women’s lives are negatively affected in concrete ways by discrimination in HR policy and decisions (e.g., not receiving a job, being underpaid), they may not perceive their negative outcomes as due to gender discrimination. Indeed, there is a multitude of evidence that women and other stigmatized group members are loath to make attributions to discrimination ( Crosby, 1984 ; Vorauer and Kumhyr, 2001 ; Stangor et al., 2003 ) and instead are likely to make internal attributions for negative evaluations unless they are certain the evaluator is biased against their group ( Ruggiero and Taylor, 1995 ; Major et al., 2003 ). However, when organizational decision makers engage in gender harassment during HR enactment women should be more likely to interpret HR policy and HR-related decisions as discriminatory.

Now that we have specified the nature of institutional gender discrimination in HR policy and personal discrimination in HR-related decision-making and in HR enactment, we turn to the issue of understanding the causes of such discrimination: gender discrimination in organizational structures, processes, and practices, and personal biases of organizational decision makers.

The Effect of Organizational Structures, Processes, and Practices on HR Practices

The first contextual factor within which gender inequalities can be institutionalized is leadership. Leadership is a process wherein an individual (e.g., CEOs, managers) influences others in an effort to reach organizational goals ( Chemers, 1997 ; House and Aditya, 1997 ). Leaders determine and communicate what the organization’s priorities are to all members of the organization. Leaders are important as they affect the other organizational structures, processes, and practices. Specifically, leaders set culture, set policy, set strategy, and are role models for socialization. We suggest that one important way institutional gender inequality in leadership exists is when women are under-represented, compared with men—particularly when women are well-represented at lower levels within an organization.

An underrepresentation of women in leadership can be perpetuated easily because the gender of organizational leaders affects the degree to which there is gender discrimination, gender supportive policies, and a gender diversity supportive climate within an organization ( Ostroff et al., 2012 ). Organizational members are likely to perceive that the climate for women is positive when women hold key positions in the organization ( Konrad et al., 2010 ). Specifically, the presence of women in key positions acts as a vivid symbol indicating that the organization supports gender diversity. Consistent with this, industries that have fewer female high status managers have a greater gender wage gap ( Cohen and Huffman, 2007 ). Further, women who work with a male supervisor perceive less organizational support, compared with those who work with a female supervisor ( Konrad et al., 2010 ). In addition, women who work in departments that are headed by a man report experiencing more gender discrimination, compared with their counterparts in departments headed by women ( Konrad et al., 2010 ). Some of these effects may be mediated by a similar-to-me bias ( Tsui and O’Reilly, 1989 ), where leaders set up systems that reward and promote individuals like themselves, which can lead to discrimination toward women when leaders are predominantly male ( Davison and Burke, 2000 ; Roth et al., 2012 ). Thus, gender inequalities in leadership affect women’s experiences in the workplace and their likelihood of facing discrimination.

The second contextual factor to consider is organizational structure. The formal structure of an organization is how an organization arranges itself and it consists of employee hierarchies, departments, etc. ( Grant, 2010 ). An example of institutional discrimination in the formal structure of an organization are job ladders, which are typically segregated by gender ( Perry et al., 1994 ). Such gender-segregated job ladders typically exist within different departments of the organization. Women belonging to gender-segregated networks within organizations ( Brass, 1985 ) have less access to information about jobs, less status, and less upward mobility within the organization ( Ragins and Sundstrom, 1989 ; McDonald et al., 2009 ). This is likely because in gender-segregated networks, women have less visibility and lack access to individuals with power ( Ragins and Sundstrom, 1989 ). In gender-segregated networks, it is also difficult for women to find female mentors because there is a lack of women in high-ranking positions ( Noe, 1988 ; Linehan and Scullion, 2008 ). Consequently, the organizational structure can be marked by gender inequalities that reduce women’s chances of reaching top-level positions in an organization.

Gender inequalities can be inherent in the structure of an organization when there are gender segregated departments, job ladders, and networks, which are intimately tied to gender discrimination in HR practices. For instance, if HR policies are designed such that pay is determined based on comparisons between individuals only within a department (e.g., department-wide reporting structure, job descriptions, performance evaluations), then this can lead to a devaluation of departments dominated by women. The overrepresentation of women in certain jobs leads to the lower status of those jobs; consequently, the pay brackets for these jobs decrease over time as the number of women in these jobs increase (e.g., Huffman and Velasco, 1997 ; Reilly and Wirjanto, 1999 ). Similarly, networks led by women are also devalued for pay. For example, in a study of over 2,000 managers, after controlling for performance, the type of job, and the functional area (e.g., marketing, sales, accounting), those who worked with female mangers had lower wages than those who worked with male managers ( Ostroff and Atwater, 2003 ). Thus, gender inequalities in an organization’s structure in terms of gender segregation have reciprocal effects with gender discrimination in HR policy and decision-making.

Another contextual factor in our model is organizational strategy and how institutional discrimination within strategy is related to discrimination in HR practices. Strategy is a plan, method, or process by which an organization attempts to achieve its objectives, such as being profitable, maintaining and expanding its consumer base, marketing strategy, etc. ( Grant, 2010 ). Strategy can influence the level of inequality within an organization ( Morrison and Von Glinow, 1990 ; Hunter et al., 2001 ). For example, Hooters, a restaurant chain, has a marketing strategy to sexually attract heterosexual males, which has led to discrimination in HR policy, decisions, and enactment because only young, good-looking women are considered qualified ( Schneyer, 1998 ). When faced with appearance-based discrimination lawsuits regarding their hiring policies, Hooters has responded by claiming that such appearance requirements are bona fide job qualifications given their marketing strategy (for reviews, see Schneyer, 1998 ; Adamitis, 2000 ). Hooters is not alone, as many other establishments attempt to attract male cliental by requiring their female servers to meet a dress code involving a high level of grooming (make-up, hair), a high heels requirement, and a revealing uniform ( McGinley, 2007 ). Thus, sexist HR policies and practices in which differential standards are applied to male and female employees can stem from a specific organizational strategy ( Westall, 2015 ).

We now consider institutional gender bias within organizational culture and how it relates to discrimination in HR policies. Organizational culture refers to collectively held beliefs, assumptions, and values held by organizational members ( Trice and Beyer, 1993 ; Schein, 2010 ). Cultures arise from the values of the founders of the organization and assumptions about the right way of doing things, which are learned from dealing with challenges over time ( Ostroff et al., 2012 ). The founders and leaders of an organization are the most influential in forming, maintaining, and changing culture over time (e.g., Trice and Beyer, 1993 ; Jung et al., 2008 ; Hartnell and Walumbwa, 2011 ). Organizational culture can contribute to gender inequalities because culture constrains people’s ideas of what is possible: their strategies of action ( Swidler, 1986 ). In other words, when people encounter a problem in their workplace, the organizational culture—who we are, how we act, what is right—will provide only a certain realm of behavioral responses. For instance, in organizational cultures marked by greater gender inequality, women may have lower hopes and expectations for promotion, and when they are discriminated against, may be less likely to imagine that they can appeal their outcomes ( Kanter, 1977 ; Cassirer and Reskin, 2000 ). Furthermore, in organizational cultures marked by gender inequality, organizational decision makers should hold stronger descriptive and proscriptive gender stereotypes: they should more strongly believe that women have less ability to lead, less career commitment, and less emotional stability, compared with men ( Eagly et al., 1992 ; Heilman, 2001 ). We expand upon this point later.

Other aspects of organizational culture that are less obviously related to gender can also lead to discrimination in HR practices. For instance, an organizational culture that emphasizes concerns with meritocracy, can lead organizational members to oppose HR efforts to increase gender equality. This is because when people believe that outcomes ought to go only to those who are most deserving, it is easy for them to fall into the trap of believing that outcomes currently do go to those who are most deserving ( Son Hing et al., 2011 ). Therefore, people will believe that men deserve their elevated status and women deserve their subordinated status at work ( Castilla and Benard, 2010 ). Furthermore, the more people care about merit-based outcomes, the more they oppose affirmative action and diversity initiatives for women ( Bobocel et al., 1998 ; Son Hing et al., 2011 ), particularly when they do not recognize that discrimination occurs against women in the absence of such policies ( Son Hing et al., 2002 ). Thus, a particular organizational culture can influence the level of discrimination against women in HR and prevent the adoption of HR policies that would mitigate gender discrimination.

Finally, gender inequalities can be seen in organizational climates. An organizational climate consists of organizational members’ shared perceptions of the formal and informal organizational practices, procedures, and routines ( Schneider et al., 2011 ) that arise from direct experiences of the organization’s culture ( Ostroff et al., 2012 ). Organizational climates tend to be conceptualized and studied as “climates for” an organizational strategy ( Schneider, 1975 ; Ostroff et al., 2012 ). Gender inequalities are most clearly reflected in two forms of climate: climates for diversity and climates for sexual harassment.

A positive climate for diversity exists when organizational members perceive that diverse groups are included, empowered, and treated fairly. When employees perceive a less supportive diversity climate, they perceive greater workplace discrimination ( Cox, 1994 ; Ragins and Cornwall, 2001 ; Triana and García, 2009 ), and experience lower organizational commitment and job satisfaction ( Hicks-Clarke and Iles, 2000 ), and higher turnover intentions ( Triana et al., 2010 ). Thus, in organizations with a less supportive diversity climate, women are more likely to leave the organization, which contributes to the underrepresentation of women in already male-dominated arenas ( Miner-Rubino and Cortina, 2004 ).

A climate for sexual harassment involves perceptions that the organization is permissive of sexual harassment. In organizational climates that are permissive of harassment, victims are reluctant to come forward because they believe that their complaints will not be taken seriously ( Hulin et al., 1996 ) and will result in negative personal consequences (e.g., Offermann and Malamut, 2002 ). Furthermore, men with a proclivity for harassment are more likely to act out these behaviors when permissive factors are present ( Pryor et al., 1993 ). Therefore, a permissive climate for sexual harassment can result in more harassing behaviors, which can lead women to disengage from their work and ultimately leave the organization ( Kath et al., 2009 ).

Organizational climates for diversity and for sexual harassment are inextricably linked to HR practices. For instance, a factor that leads to perceptions of diversity climates is whether the HR department has diversity training (seminars, workshops) and how much time and money is devoted to diversity efforts ( Triana and García, 2009 ). Similarly, a climate for sexual harassment depends on organizational members’ perceptions of how strict the workplace’s sexual harassment policy is, and how likely offenders are to be punished ( Fitzgerald et al., 1995b ; Hulin et al., 1996 ). Thus, HR policies, decision-making, and their enactment strongly affect gender inequalities in organizational climates and gender inequalities throughout an organization.

In summary, gender inequalities can exist within organizational structures, processes, and practices. However, organizational leadership, structure, strategy, culture, and climate do not inherently need to be sexist. It could be possible for these organizational structures, processes, and practices to promote gender equality. We return to this issue in the conclusion section.

The Effect of Hostile and Benevolent Sexism on How Organizational Decision Makers’ Conduct HR Practices

In this section, we explore how personal biases can affect personal discrimination in HR-related decisions and their enactment. Others have focused on how negative or hostile attitudes toward women predict discrimination in the workplace. However, we extend this analysis by drawing on ambivalent sexism theory, which involves hostile sexism (i.e., antagonistic attitudes toward women) and benevolent sexism (i.e., paternalistic attitudes toward women; see also Glick, 2013 ), both of which lead to discrimination against women.

Stereotyping processes are one possible explanation of how discrimination against women in male-typed jobs occurs and how women are relegated to the “pink ghetto” ( Heilman, 1983 ; Eagly and Karau, 2002 ; Rudman et al., 2012 ). Gender stereotypes, that is, expectations of what women and men are like, and what they should be like, are one of the most powerful schemas activated when people encounter others ( Fiske et al., 1991 ; Stangor et al., 1992 ). According to status characteristics theory, people’s group memberships convey important information about their status and their competence on specific tasks ( Berger et al., 1974 ; Berger et al., 1998 ; Correll and Ridgeway, 2003 ). Organizational decision makers will, for many jobs, have different expectations for men’s and women’s competence and job performance. Expectations of stereotyped-group members’ success can affect gender discrimination that occurs in HR-related decisions and enactment ( Roberson et al., 2007 ). For example, men are preferred over women for masculine jobs and women are preferred over men for feminine jobs ( Davison and Burke, 2000 ). Thus, the more that a workplace role is inconsistent with the attributes ascribed to women, the more a particular woman might be seen as lacking “fit” with that role, resulting in decreased performance expectations ( Heilman, 1983 ; Eagly and Karau, 2002 ).

Furthermore, because women are associated with lower status, and men with higher status, women experience backlash for pursuing high status roles (e.g., leadership) in the workplace ( Rudman et al., 2012 ). In other words, agentic women who act competitively and confidently in a leadership role, are rated as more socially deficient, less likeable and less hireable, compared with men who act the same way ( Rudman, 1998 ; Rudman et al., 2012 ). Interestingly though, if women pursue roles in the workplace that are congruent with traditional gender expectations, they will elicit positive reactions ( Eagly and Karau, 2002 ).

Thus, cultural, widely known, gender stereotypes can affect HR-related decisions. However, such an account does not take into consideration individual differences among organizational decision makers (e.g., managers, supervisors, or HR personnel) who may vary in the extent to which they endorse sexist attitudes or stereotypes. Individual differences in various forms of sexism (e.g., modern sexism, neosexism) have been demonstrated to lead to personal discrimination in the workplace ( Hagen and Kahn, 1975 ; Beaton et al., 1996 ; Hitlan et al., 2009 ). Ambivalent sexism theory builds on earlier theories of sexism by including attitudes toward women that, while sexist, are often experienced as positive in valence by perceivers and targets ( Glick and Fiske, 1996 ). Therefore, we draw on ambivalent sexism theory, which conceptualizes sexism as a multidimensional construct that encompasses both hostile and benevolent attitudes toward women ( Glick and Fiske, 1996 , 2001 ).

Hostile sexism involves antipathy and negative stereotypes about women, such as beliefs that women are incompetent, overly emotional, and sexually manipulative. Hostile sexism also involves beliefs that men should be more powerful than women and fears that women will try to take power from men ( Glick and Fiske, 1996 ; Cikara et al., 2008 ). In contrast, benevolent sexism involves overall positive views of women, as long as they occupy traditionally feminine roles. Individuals with benevolently sexist beliefs characterize women as weak and needing protection, support, and adoration. Importantly, hostile and benevolent sexism tend to go hand-in-hand (with a typical correlation of 0.40; Glick et al., 2000 ). This is because ambivalent sexists, people who are high in benevolent and hostile sexism, believe that women should occupy restricted domestic roles and that women are weaker than men are ( Glick and Fiske, 1996 ). Ambivalent sexists reconcile their potentially contradictory attitudes about women by acting hostile toward women whom they believe are trying to steal men’s power (e.g., feminists, professionals who show competence) and by acting benevolently toward traditional women (e.g., homemakers) who reinforce conventional gender relations and who serve men ( Glick et al., 1997 ). An individual difference approach allows us to build on the earlier models ( Heilman, 1983 ; Eagly and Karau, 2002 ; Rudman et al., 2012 ), by specifying who is more likely to discriminate against women and why.

Organizational decision makers who are higher (vs. lower) in hostile sexism should discriminate more against women in HR-related decisions ( Glick et al., 1997 ; Masser and Abrams, 2004 ). For instance, people high in hostile sexism have been found to evaluate candidates, who are believed to be women, more negatively and give lower employment recommendations for a management position, compared with matched candidates believed to be men ( Salvaggio et al., 2009 ) 1 . In another study, among participants who evaluated a female candidate for a managerial position, those higher in hostile sexism were less likely to recommend her for hire, compared with those lower in hostile sexism ( Masser and Abrams, 2004 ). Interestingly, among those evaluating a matched man for the same position, those higher (vs. lower) in hostile sexism were more likely to recommend him for hire ( Masser and Abrams, 2004 ). According to ambivalent sexism theorists ( Glick et al., 1997 ), because people high in hostile sexism see women as a threat to men’s status, they act as gatekeepers denying women access to more prestigious or masculine jobs.

Furthermore, when enacting HR policies and decisions, organizational decision makers who are higher (vs. lower) in hostile sexism should discriminate more against women in the form of gender harassment. Gender harassment can involve hostile terms of address, negative comments regarding women in management, sexist jokes, and sexist behavior ( Fitzgerald et al., 1995a , b ). It has been found that people higher (vs. lower) in hostile sexism have more lenient attitudes toward the sexual harassment of women, which involves gender harassment, in the workplace ( Begany and Milburn, 2002 ; Russell and Trigg, 2004 ). Furthermore, men who more strongly believe that women are men’s adversaries tell more sexist jokes to a woman ( Mitchell et al., 2004 ). Women also report experiencing more incivility (i.e., low level, rude behavior) in the workplace than men ( Björkqvist et al., 1994 ; Cortina et al., 2001 , 2002 ), which could be due to hostile attitudes toward women. In summary, the evidence is consistent with the idea that organizational decision makers’ hostile sexism should predict their gender harassing behavior during HR enactment; however, more research is needed for such a conclusion.

In addition, organizational decision makers who are higher (vs. lower) in benevolent sexism should discriminate more against women when making HR-related decisions. It has been found that people higher (vs. lower) in benevolent sexism are more likely to automatically associate men with high-authority and women with low-authority roles and to implicitly stereotype men as agentic and women as communal ( Rudman and Kilianski, 2000 ). Thus, organizational decision makers who are higher (vs. lower) in benevolent sexism should more strongly believe that women are unfit for organizational roles that are demanding, challenging, and requiring agentic behavior. Indeed, in studies of male MBA students those higher (vs. lower) in benevolent sexism assigned a fictional woman less challenging tasks than a matched man ( King et al., 2012 ). The researchers reasoned that this occurred because men are attempting to “protect” women from the struggles of challenging work. Although there has been little research conducted that has looked at benevolent sexism and gender discrimination in HR-related decisions, the findings are consistent with our model.

Finally, organizational decision makers who are higher (vs. lower) in benevolent sexism should engage in a complex form of gender discrimination when enacting HR policy and decisions that involves mixed messages: women are more likely to receive messages of positive verbal feedback (e.g., “stellar work,” “excellent work”) but lower numeric ratings on performance appraisals, compared with men ( Biernat et al., 2012 ). It is proposed that this pattern of giving women positive messages about their performance while rating them poorly reflects benevolent sexists’ desire to protect women from harsh criticism. However, given that performance appraisals are used for promotion decisions and that constructive feedback is needed for learning, managers’ unwillingness to give women negative verbal criticisms can lead to skill plateau and career stagnation.

Furthermore, exposure to benevolent sexism can harm women’s motivation, goals and performance. Adolescent girls whose mothers are high in benevolent (but not hostile) sexism display lower academic goals and academic performance ( Montañés et al., 2012 ). Of greater relevance to the workplace, when role-playing a job candidate, women who interacted with a hiring manager scripted to make benevolently sexist statements became preoccupied with thoughts about their incompetence, and consequently performed worse in the interview, compared with those in a control condition ( Dardenne et al., 2007 ). These findings suggest that benevolent sexism during the enactment of HR practices can harm women’s work-related motivation and goals, as well as their performance, which can result in a self-fulfilling prophecy ( Word et al., 1974 ). In other words, the low expectations benevolent sexists have of women can be confirmed by women as they are undermined by paternalistic messages.

Ambivalent sexism can operate to harm women’s access to jobs, opportunities for development, ratings of performance, and lead to stigmatization. However, hostile and benevolent sexism operate in different ways. Hostile sexism has direct negative consequences for women’s access to high status, male-typed jobs ( Masser and Abrams, 2004 ; Salvaggio et al., 2009 ), and it is related to higher rates of sexual harassment ( Fitzgerald et al., 1995b ; Mitchell et al., 2004 ; Russell and Trigg, 2004 ), which negatively affect women’s health, well-being, and workplace withdrawal behaviors ( Willness et al., 2007 ). In contrast, benevolent sexism has indirect negative consequences for women’s careers, for instance, in preventing access to challenging tasks ( King et al., 2012 ) and critical developmental feedback ( Vescio et al., 2005 ). Interestingly, exposure to benevolent sexism results in worsened motivation and cognitive performance, compared with exposure to hostile sexism ( Dardenne et al., 2007 ; Montañés et al., 2012 ). This is because women more easily recognize hostile sexism as a form of discrimination and inequality, compared with benevolent sexism, which can be more subtle in nature ( Dardenne et al., 2007 ). Thus, women can externalize hostile sexism and mobilize against it, but the subtle nature of benevolent sexism prevents these processes ( Kay et al., 2005 ; Becker and Wright, 2011 ). Therefore, hostile and benevolent sexism lead to different but harmful forms of HR discrimination. Future research should more closely examine their potentially different consequences.

Thus far, we have articulated how gender inequalities in organizational structures, processes, and practices can affect discrimination in HR policy and in HR-related decision-making and enactment. Furthermore, we have argued that organizational decision makers’ levels of hostile and benevolent sexism are critical factors leading to personal discrimination in HR-related decision-making and enactment, albeit in different forms. We now turn to an integration of these two phenomena.

The Effect of Organizational Structures, Processes, and Practices on Organizational Decision Makers’ Levels of Hostile and Benevolent Sexism

Organizational decision makers’ beliefs about men and women should be affected by the work environments in which they are embedded. Thus, when there are more gender inequalities within organizational structures, processes, and practices, organizational decision makers should have higher levels of hostile sexism and benevolent sexism. Two inter-related processes can account for this proposition: the establishment of who becomes and remains an organizational member, and the socialization of organizational members.

First, as organizations develop over time, forces work to attract, select, and retain an increasingly homogenous set of employees in terms of their hostile and benevolent sexism ( Schneider, 1983 , 1987 ). In support of this perspective, an individual’s values tend to be congruent with the values in his or her work environment (e.g., Holland, 1996 ; Kristof-Brown et al., 2005 ). People are attracted to and choose to work for organizations that have characteristics similar to their own, and organizations select individuals who are likely to fit with the organization. Thus, more sexist individuals are more likely to be attracted to organizations with greater gender inequality in leadership, structure, strategy, culture, climate, and HR policy; and they will be seen as a better fit during recruitment and selection. Finally, individuals who do not fit with the organization tend to leave voluntarily through the process of attrition. Thus, less (vs. more) sexist individuals would be more likely to leave a workplace with marked gender inequalities in organizational structures, processes, and practices. The opposite should be true for organizations with high gender equality. Through attraction, selection, and attrition processes it is likely that organizational members will become more sexist in a highly gender unequal organization and less sexist in a highly gender equal organization.

Second, socialization processes can change organizational members’ personal attributes, goals, and values to match those of the organization ( Ostroff and Rothausen, 1997 ). Organizational members’ receive both formal and informal messages about gender inequality—or equality—within an organization through their orientation and training, reading of organizational policy, perceptions of who rises in the ranks, how women (vs. men) are treated within the organization, as well as their perception of climates for diversity and sexual harassment. Socialization of organizational members over time has been shown to result in organizational members’ values and personalities changing to better match the values of the organization ( Kohn and Schooler, 1982 ; Cable and Parsons, 2001 ).

These socialization processes can operate to change organizational members’ levels of sexism. It is likely that within more sexist workplaces, people’s levels of hostile and benevolent sexism increase because their normative beliefs shift due to exposure to institutional discrimination against women, others’ sexist attitudes and behavior, and gender bias in culture and climate ( Schwartz and DeKeseredy, 2000 ; Ford et al., 2008 ; Banyard et al., 2009 ). These processes can also lead organizational decision makers to adopt less sexist attitudes in a workplace context marked by greater gender equality. Thus, organizational members’ levels of hostile and benevolent sexism can be shaped by the degree of gender inequalities in organizational structures, processes, and practices and by the sexism levels of their work colleagues.

In addition, organizational decision makers can be socialized to act in discriminatory ways without personally becoming more sexist. If organizational decision makers witness others acting in a discriminatory manner with positive consequences, or acting in an egalitarian way with negative consequences, they can learn to become more discriminatory in their HR practices through observational learning ( Bandura, 1977 , 1986 ). So, organizational decision makers could engage in personal discrimination without being sexist if they perceive that the fair treatment of women in HR would encounter resistance given the broader organizational structures, processes, and practices promoting gender inequality. Yet over time, given cognitive dissonance ( Festinger, 1962 ), it is likely that discriminatory behavior could induce attitude change among organizational decision makers to become more sexist.

Thus far we have argued that gender inequalities in organizational structures, processes, and practices, organizational decision makers’ sexist attitudes, and gender discrimination in HR practices can have reciprocal, reinforcing relationships. Thus, it may appear that we have created a model that is closed and determinate in nature; however, this would be a misinterpretation. In the following section, we outline how organizations marked by gender inequalities can reduce discrimination against women.

How to Reduce Gender Discrimination in Organizations

The model we present for understanding gender discrimination in HR practices is complex. We believe that such complexity is necessary to accurately reflect the realities of organizational life. The model demonstrates that many sources of gender inequality are inter-related and have reciprocal effects. By implication, there are no simple or direct solutions to reduce gender discrimination in organizations. Rather, this complex problem requires multiple solutions. In fact, as discussed by Gelfand et al. (2007) , if an organization attempts to correct discrimination in only one aspect of organizational structure, process, or practice, and not others, such change attempts will be ineffective due to mixed messages. Therefore, we outline below how organizations can reduce gender discrimination by focusing on (a) HR policies (i.e., diversity initiatives and family friendly policies) and closely related organizational structures, processes, and practices; (b) HR-related decision-making and enactment; as well as, (c) the organizational decision makers who engage in such actions.

Reducing Gender Discrimination in HR Policy and Associated Organizational Structures, Processes, and Practices

Organizations can take steps to mitigate discrimination in HR policies. As a first example, let us consider how an organization can develop, within its HR systems, diversity initiatives aimed at changing the composition of the workforce that includes policies to recruit, retain, and develop employees from underrepresented groups ( Jayne and Dipboye, 2004 ). Diversity initiatives can operate like affirmative action programs in that organizations track and monitor (a) the number of qualified candidates from different groups (e.g., women vs. men) in a pool, and (b) the number of candidates from each group hired or promoted. When the proportion of candidates from a group successfully selected varies significantly from their proportion in the qualified pool then action, such as targeted recruitment efforts, needs to be taken.

Importantly, such efforts to increase diversity can be strengthened by other HR policies that reward managers, who select more diverse personnel, with bonuses ( Jayne and Dipboye, 2004 ). Organizations that incorporate diversity-based criteria into their performance and promotion policies and offer meaningful incentives to managers to identify and develop successful female candidates for promotion are more likely to succeed in retaining and promoting diverse talent ( Murphy and Cleveland, 1995 ; Cleveland et al., 2000 ). However, focusing on short-term narrowly defined criteria, such as increasing the number of women hired, without also focusing on candidates’ merit and providing an adequate climate or support for women are unlikely to bring about any long-term change in diversity, and can have detrimental consequences for its intended beneficiaries ( Heilman et al., 1992 , 1997 ). Rather, to be successful, HR policies for diversity need to be supported by the other organizational structures, processes, and practices, such as strategy, leadership, and climate.

For instance, diversity initiatives should be linked to strategies to create a business case for diversity ( Jayne and Dipboye, 2004 ). An organization with a strategy to market to more diverse populations can justify that a more diverse workforce can better serve potential clientele ( Jayne and Dipboye, 2004 ). Alternatively, an organization that is attempting to innovate and grow might justify a corporate strategy to increase diversity on the grounds that diverse groups have multiple perspectives on a problem with the potential to generate more novel, creative solutions ( van Knippenberg et al., 2004 ). Furthermore, organizational leaders must convey strong support for the HR policies for them to be successful ( Rynes and Rosen, 1995 ). Given the same HR policy within an organization, leaders’ personal attitudes toward the policy affects the discrimination levels found within their unit ( Pryor, 1995 ; Pryor et al., 1995 ). Finally, diversity programs are more likely to succeed in multicultural organizations with strong climates for diversity ( Elsass and Graves, 1997 ; Jayne and Dipboye, 2004 ). An organization’s climate for diversity consists of employees’ shared perceptions that the organization’s structures, processes, and practices are committed to maintaining diversity and eliminating discrimination ( Nishii and Raver, 2003 ; Gelfand et al., 2007 ). In organizations where employees perceive a strong climate for diversity, diversity programs result in greater employee attraction and retention among women and minorities, at all levels of the organization ( Cox and Blake, 1991 ; Martins and Parsons, 2007 ).

As a second example of how HR policies can mitigate gender inequalities, we discuss HR policies to lessen employees’ experience of work-family conflict. Work-family conflict is a type of role conflict that workers experience when the demands (e.g., emotional, cognitive, time) of their work role interfere with the demands of their family role or vice versa ( Greenhaus and Beutell, 1985 ). Work-family conflict has the negative consequences of increasing employee stress, illness-related absence, and desire to turnover ( Grandey and Cropanzano, 1999 ). Importantly, women are more adversely affected by work-family conflict than men ( Martins et al., 2002 ). Work-family conflict can be exacerbated by HR policies that evaluate employees based on face time (i.e., number of hours present at the office), as a proxy for organizational commitment ( Perlow, 1995 ; Elsbach et al., 2010 ).

Formal family friendly HR policies can be adopted to relieve work-family conflict directly, which differentially assists women in the workplace. For instance, to reduce work-family conflict, organizations can implement HR policies such as flexible work arrangements, which involve flexible schedules, telecommuting, compressed work weeks, job-shares, and part-time work ( Galinsky et al., 2008 ). In conjunction with other family friendly policies, such as the provision of childcare, elderly care, and paid maternity leave, organizations can work to reduce stress and improve the retention of working mothers ( Burke, 2002 ).

Unfortunately, it has been found that the enactment of flexible work policies can still lead to discrimination. Organizational decision makers’ sexism can lead them to grant more flexible work arrangements to white men than to women and other minorities because white men are seen as more valuable ( Kelly and Kalev, 2006 ). To circumvent this, organizations need to formalize HR policies relating to flexible work arrangements ( Kelly and Kalev, 2006 ). For instance, formal, written policies should articulate who can adopt flexible work arrangements (e.g., employees in specific divisions or with specific job roles) and what such arrangements look like (e.g., core work from 10 am to 3 pm with flexible work hours from 7 to 10 am or from 3 to 6 pm). When the details of such policies are formally laid out, organizational decision makers have less latitude and therefore less opportunity for discrimination in granting access to these arrangements.

To be successful, family friendly HR policies should be tied to other organizational structures, processes, and practices such as organizational strategy, leadership, culture, and climate. A business case for flexible work arrangements can be made because they attract and retain top-talent, which includes women ( Baltes et al., 1999 ). Furthermore, organizational leaders must convey strong support for family friendly programs ( Jayne and Dipboye, 2004 ). Leaders can help bolster the acceptance of family friendly policies through successive interactions, communications, visibility, and role modeling with employees. For instance, a leader who sends emails at 2 o’clock in the morning is setting a different expectation of constant availability than a leader who never sends emails after 7:00 pm. Family friendly HR policies must also be supported by simultaneously changing the underlying organizational culture that promotes face time. Although it is difficult to change the culture of an organization, the leaders’ of the organization play an influential role in instilling such change because the behaviors of leaders are antecedents and triggers of organizational culture ( Kozlowski and Doherty, 1989 ; Ostroff et al., 2012 ). In summary, HR policies must be supported by other organizational structures, processes, and practices in order for these policies to be effective.

Adopting HR diversity initiative policies and family friendly policies can reduce gender discrimination and reshape the other organizational structures, processes, and practices and increase gender equality in them. Specifically, such policies, if successful, should increase the number of women in all departments and at all levels of an organization. Further, having more women in leadership positions signals to organizational members that the organization takes diversity seriously, affecting the diversity climate of the organization, and ultimately its culture ( Konrad et al., 2010 ). Thus, particular HR policies can reduce gender inequalities in all of the other organizational structures, processes, and practices.

Reducing Gender Discrimination in HR-Related Decision-Making and Enactment

A wealth of research demonstrates that an effective means of reducing personal bias by organizational decision makers in HR practices is to develop HR policies that standardize and objectify performance data (e.g., Konrad and Linnehan, 1995 ; Reskin and McBrier, 2000 ). To reduce discrimination in personnel decisions (i.e., employee hiring and promotion decisions) a job analysis should be performed to determine the appropriate knowledge skills and abilities needed for specific positions ( Fine and Cronshaw, 1999 ). This ensures that expectations about characteristics of the ideal employee for that position are based on accurate knowledge of the job and not gender stereotypes about the job ( Welle and Heilman, 2005 ). To reduce discrimination in performance evaluations, HR policies should necessitate the use of reliable measures based on explicit objective performance expectations and apply these practices consistently across all worker evaluations ( Bernardin et al., 1998 ; Ittner et al., 2003 ). Employees’ performance should be evaluated using behaviorally anchored rating scales ( Smith and Kendall, 1963 ) that allow supervisors to rate subordinates on examples of actual work behaviors. These evaluations should be done regularly, given that delays require retrieving memories of work performance and this process can be biased by gender stereotypes ( Sanchez and De La Torre, 1996 ). Finally, if greater gender differences are found on selection tests than on performance evaluations, then the use of such biased selection tests needs to be revisited ( Chung-Yan and Cronshaw, 2002 ). In summary, developing HR policies that standardize and objectify the process of employee/candidate evaluations can reduce personal bias in HR practices.

Importantly, the level of personal discrimination enacted by organizational decision makers can be reduced by formalizing HR policies, and by controlling the situations under which HR-related decisions are made. We have articulated how HR-related decisions involve social cognition and are therefore susceptible to biases introduced by the use of gender stereotypes. This can occur unwittingly by those who perceive themselves to be unprejudiced but who are affected by stereotypes or negative automatic associations nonetheless ( Chugh, 2004 ; Son Hing et al., 2008 ). For instance, when HR policies do not rely on objective criteria, and the context for evaluation is ambiguous, organizational decision makers will draw on gender (and other) stereotypes to fill in the blanks when evaluating candidates ( Heilman, 1995 , 2001 ). Importantly, the context can be constructed in such a way as to reduce these biases. For instance, organizational decision makers will make less biased judgments of others if they have more time available to evaluate others, are less cognitively busy ( Martell, 1991 ), have higher quality of information available about candidates, and are accountable for justifying their ratings and decisions ( Kulik and Bainbridge, 2005 ; Roberson et al., 2007 ). Thus, if they have the time, motivation, and opportunity to make well-informed, more accurate judgments, then discrimination in performance ratings can be reduced.

Reducing Organizational Decision Makers’ Sexism

Another means to reduce gender discrimination in HR-related decision-making and enactment is to focus directly on reducing the hostile and benevolent sexist beliefs of organizational decision makers. Interventions aimed at reducing these beliefs typically involve diversity training, such as a seminar, course, or workshop. Such training involves one or more sessions that involve interactive discussions, lectures, and practical assignments. During the training men and women are taught about sexism and how gender roles in society are socially constructed. Investigations have shown these workshop-based interventions are effective at reducing levels of hostile sexism but have inconsistent effects on benevolent sexism ( Case, 2007 ; de Lemus et al., 2014 ). The subtle, and in some ways positive nature of benevolent sexism makes it difficult to confront and reduce using such interventions. However, levels of benevolent sexism are reduced when individuals are explicitly informed about the harmful implications of benevolent sexism ( Becker and Swim, 2012 ). Unfortunately, these interventions have not been tested in organizational settings. So their efficacy in the field is unknown.

Gender inequality in organizations is a complex phenomenon that can be seen in HR practices (i.e., policies, decision-making, and their enactment) that affects the hiring, training, pay, and promotion of women. We propose that gender discrimination in HR-related decision-making and the enactment of HR practices stems from gender inequalities in broader organizational structures, processes, and practices, including HR policy but also leadership, structure, strategy, culture, and organizational climate. Moreover, reciprocal effects should occur, such that discriminatory HR practices can perpetuate gender inequalities in organizational leadership, structure, strategy, culture, and climate. Organizational decision makers also play an important role in gender discrimination. We propose that personal discrimination in HR-related decisions and enactment arises from organizational decision makers’ levels of hostile and benevolent sexism. While hostile sexism can lead to discrimination against women because of a desire to keep them from positions of power, benevolent sexism can lead to discrimination against women because of a desire to protect them. Finally, we propose that gender inequalities in organizational structures, processes, and practices affect organizational decision makers’ sexism through attraction, selection, socialization, and attrition processes. Thus, a focus on organizational structure, processes, and practices is critical.

The model we have developed extends previous work by Gelfand et al. (2007) in a number of substantive ways. Gelfand et al. (2007) proposed that aspects of the organization, that is, structure, organizational culture, leadership, strategy, HR systems, and organizational climates, are all interrelated and may contribute to or attenuate discrimination (e.g., racism, sexism, ableism, homophobia). First, we differ from their work by emphasizing that workplace discrimination is most directly attributable to HR practices. Consequently, we emphasize how inequalities in other organizational structures, processes, and practices affect institutional discrimination in HR policy. Second, our model differs from that of Gelfand et al. (2007) in that we focus on the role of organizational decision makers in the enactment of HR policy. The attitudes of these decision makers toward specific groups of employees are critical. However, the nature of prejudice differs depending on the target group ( Son Hing and Zanna, 2010 ). Therefore, we focus on one form of bias—sexism—in the workplace. Doing so, allows us to draw on more nuanced theories of prejudice, namely ambivalent sexism theory ( Glick and Fiske, 1996 ). Thus, third, our model differs from the work of Gelfand et al. (2007) by considering how dual beliefs about women (i.e., hostile and benevolent beliefs) can contribute to different forms of gender discrimination in HR practices. Fourth, we differ from Gelfand et al. (2007) by reviewing how organizational decision makers’ level of sexism within an organization is affected by organizational structures, processes, and practices via selection-attraction-attrition processes and through socialization processes.

However, the model we have developed is not meant to be exhaustive. There are multiple issues that we have not addressed but should be considered: what external factors feed into our model? What other links within the model might arise? What are the limits to its generalizability? What consequences derive from our model? How can change occur given a model that is largely recursive in nature? We focus on these issues throughout our conclusion.

In this paper, we have illustrated what we consider to be the dominant links in our model; however, additional links are possible. First, we do not lay out the factors that feed into our model, such as government regulations, the economy, their competitors, and societal culture. In future work, one could analyze the broader context that organizations operate in, which influences its structures, processes, and practices, as well as its members. For instance, in societies marked by greater gender inequalities, the levels of hostile and benevolent sexism of organizational decision makers will be higher ( Glick et al., 2000 ). Second, there is no link demonstrating how organizational decision makers who are more sexist have the capacity, even if they sit lower in the organizational hierarchy, to influence the amount of gender inequality in organizational structures, processes, and practices. It is possible for low-level managers or HR personnel who express more sexist sentiments to—through their own behavior—affect others’ perceptions of the tolerance for discrimination in the workplace ( Ford et al., 2001 ) and others’ perceptions of the competence and hireability of female job candidates ( Good and Rudman, 2010 ). Thus, organizational decision makers’ levels of hostile and benevolent sexism can affect organizational climates, and potentially other organizational structures, processes, and practices. Third, it is possible that organizational structures, processes, and practices could moderate the link between organizational decision makers’ sexist attitudes and their discriminatory behavior in HR practices. The ability of people to act in line with their attitudes depends on the strength of the constraints in the social situation and the broader context ( Lewin, 1935 , 1951 ). Thus, if organizational structures, processes, and practices clearly communicate the importance of gender equality then the discriminatory behavior of sexist organizational decision makers should be constrained. Accordingly, organizations should take steps to mitigate institutional discrimination by focusing on organizational structures, processes, and practices rather than focusing solely on reducing sexism in individual employees.

Our model does not consider how women’s occupational status is affected by their preferences for gender-role-consistent careers and their childcare and family responsibilities, which perhaps should not be underestimated (e.g., Manne, 2001 ; Hakim, 2006 ; Ceci et al., 2009 ). In other words, lifestyle preferences could contribute to gender differences in the workplace. However, it is important to consider how women’s agency in choosing occupations and managing work-life demands is constrained. Gender imbalances (e.g., in pay) in the workplace (e.g., Moss-Racusin et al., 2012 ; Sheltzer and Smith, 2014 ) and gender imbalances in the home (e.g., in domestic labor, childcare; Bianchi, 2000 ; Bianchi et al., 2000 ) shape the decisions that couples (when they consist of a woman and a man) make about how to manage dual careers. For instance, research has uncovered that women with professional degrees leave the labor force at roughly three times the rate of men ( Baker, 2002 ). Women’s decisions to interrupt their careers were difficult and were based on factors, such as workplace inflexibility, and their husbands’ lack of domestic responsibilities, rather than a preference to stay at home with their children ( Stone and Lovejoy, 2004 ). Thus, both factors inside and outside the workplace constrain and shape women’s career decisions.

Our model is derived largely from research that has been conducted in male-dominated organizations; however, we speculate that it should hold for female-dominated organizations. There is evidence that tokenism does not work against men in terms of their promotion potential in female-dominated environments. Rather, there is some evidence for a glass-escalator effect for men in female-dominated fields, such as nursing, and social work ( Williams, 1992 ). In addition, regardless of the gender composition of the workplace, men are advantaged, compared with women in terms of earnings and wage growth ( Budig, 2002 ). Finally, even in female-dominated professions, segregation along gender lines occurs in organizational structure ( Snyder and Green, 2008 ). Thus, the literature suggests that our model should hold for female-dominated environments.

Some might question if our model assumes that organizational decision makers enacting HR practices are men. It does not. There is evidence that decision makers who are women also discriminate against women (e.g., the Queen Bee phenomenon; Ellemers et al., 2004 ). Further, although men are higher in hostile sexism, compared with women ( Glick et al., 1997 , 2000 ), they are not necessarily higher in benevolent sexism ( Glick et al., 2000 ). More importantly, the effects of hostile and benevolent sexism are not moderated by participant gender ( Masser and Abrams, 2004 ; Salvaggio et al., 2009 ; Good and Rudman, 2010 ). Thus, those who are higher in hostile or benevolent sexism respond in a more discriminatory manner, regardless of whether they are men or women. Thus, organizational decision makers, regardless of their sex, should discriminate more against women in HR practices when they are higher in hostile or benevolent sexism.

In future work, the consequences of our model for women discriminated against in HR practices should be considered. The negative ramifications of sexism and discrimination on women are well known: physical and psychological stress, worse physical health (e.g., high blood pressure, ulcers, anxiety, depression; Goldenhar et al., 1998 ); lower job satisfaction, organizational commitment, and attachment to work ( Murrell et al., 1995 ; Hicks-Clarke and Iles, 2000 ); lower feelings of power and prestige ( Gutek et al., 1996 ); and performance decrements through stereotype threat ( Spencer et al., 1999 ). However, how might these processes differ depending on the proximal cause of the discrimination?

Our model lays out two potential paths by which women might be discriminated against in HR practices: institutional discrimination stemming from organizational structures, processes, and practices and personal discrimination stemming from organizational decision makers’ levels of sexism. In order for the potential stressor of stigmatization to lead to psychological and physical stress it must be seen as harmful and self-relevant ( Son Hing, 2012 ). Thus, if institutional discrimination in organizational structures, processes, and practices are completely hidden then discrimination might not cause stress reactions associated with stigmatization because it may be too difficult for women to detect ( Crosby et al., 1986 ; Major, 1994 ), and label as discrimination ( Crosby, 1984 ; Stangor et al., 2003 ). In contrast, women should be adversely affected by stigmatization in instances where gender discrimination in organizational structures, processes, and practices is more evident. For instance, greater perceptions of discrimination are associated with lower self-esteem in longitudinal studies ( Schmitt et al., 2014 ).

It might appear that we have created a model, which is a closed system, with no opportunities to change an organization’s trajectory: more unequal organizations will become more hierarchical, and more equal organizations will become more egalitarian. We do not believe this to be true. One potential impetus for organizations to become more egalitarian may be some great shock such as sex-based discrimination lawsuits that the organization either faces directly or sees its competitors suffer. Large corporations have been forced to settle claims of gender harassment and gender discrimination with payouts upward of $21 million ( Gilbert v. DaimlerChrysler Corp., 2004 ; LexisNexis, 2010 ; Velez, et al. v. Novartis Pharmaceuticals Crop, et al., 2010 ). Discrimination lawsuits are time consuming and costly ( James and Wooten, 2006 ), resulting in lower shares, lower public perceptions, higher absenteeism, and higher turnover ( Wright et al., 1995 ). Expensive lawsuits experienced either directly or indirectly should act as a big driver in the need for change.

Furthermore, individual women can work to avoid stigmatization. Women in the workplace are not simply passive targets of stereotyping processes. People belonging to stigmatized groups can engage in a variety of anti-stigmatization techniques, but their response options are constrained by the cultural repertoires available to them ( Lamont and Mizrachi, 2012 ). In other words, an organization’s culture will provide its members with a collective imaginary for how to behave. For instance, it might be unimaginable for a woman to file a complaint of sexual harassment if she knows that complaints are never taken seriously. Individuals do negotiate stigmatization processes; however, this is more likely when stigmatization is perceived as illegitimate and when they have the resources to do so ( Major and Schmader, 2001 ). Thus, at an individual level, people engage in strategies to fight being discriminated against but these strategies are likely more constrained for those who are most stigmatized.

Finally, possibly the most efficacious way for organizational members (men and women) to challenge group-based inequality and to improve the status of women as a whole is to engage in collective action (e.g., participate in unions, sign petitions, organize social movements, recruit others to join a movement; Klandermans, 1997 ; Wright and Lubensky, 2009 ). People are most likely to engage in collective action when they perceive group differences as underserved or illegitimate ( Wright, 2001 ). Such a sense of relative deprivation involves feelings of injustice and anger that prompt a desire for wide scale change ( van Zomeren et al., 2008 ). Interestingly, people are more likely to experience relative deprivation when inequalities have begun to be lessened, and thus their legitimacy questioned ( Crosby, 1984 ; Kawakami and Dion, 1993 ; Stangor et al., 2003 ). If organizational leaders respond to such demands for change by altering previously gender oppressive organizational structures, processes, and practices, this can, in people’s minds, open the door for additional changes. Therefore, changes to mitigate gender inequalities within any organizational structure, policy, or practice could start a cascade of transformations leading to a more equal organization for men and women.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

This research was supported by funding from the Canadian Institute for Advanced Research (CIFAR) awarded to Leanne S. Son Hing.

1 In this study, candidates were identified with initials and participants were asked to indicate the presumed gender of the candidate after evaluating them.

• Abrams K. (1991). Social construction, roving biologism, and reasonable women: a response to Professor Epstein. DePaul Law Rev. 41 1021–1040. [ Google Scholar ]
• Acker J. (1990). Hierarchies, jobs, bodies: a theory of gendered organizations. Gend. Soc. 4 139–158. 10.1177/089124390004002002 [ CrossRef ] [ Google Scholar ]
• Adamitis E. M. (2000). Appearance matters: a proposal to prohibit appearance discrimination in employment. Wash. Law Rev. 75 195–223. [ Google Scholar ]
• Adler N. E., Epel E. S., Castellazzo G., Ickovics J. R. (2000). Relationship of subjective and objective social status with psychological and physiological functioning: preliminary data in healthy White women. Health Psychol. 19 586–592. 10.1037/0278-6133.19.6.586 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Baker J. G. (2002). The influx of women into legal professions: an economic analysis. Mon. Labor Rev. 125 12–24. [ Google Scholar ]
• Baltes B. B., Briggs T. E., Huff J. W., Wright J. A., Neuman G. A. (1999). Flexible and compressed workweek schedules: a meta-analysis of their effects on work-related criteria. J. Appl. Psychol. 84 496–513. 10.1037/0021-9010.84.4.496 [ CrossRef ] [ Google Scholar ]
• Bandura A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychol. Rev. 84 191–215. 10.1037/0033-295X.84.2.191 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Bandura A. (1986). The explanatory and predictive scope of self-efficacy theory. J. Soc. Clin. Psychol. 4 359–373. 10.1521/jscp.1986.4.3.359 [ CrossRef ] [ Google Scholar ]
• Banyard V. L., Moynihan M. M., Crossman M. T. (2009). Reducing sexual violence on campus: the role of student leaders as empowered bystanders. J. Coll. Stud. Dev. 50 446–457. 10.1353/csd.0.0083 [ CrossRef ] [ Google Scholar ]
• Barling J., Dekker I., Loughlin C. A., Kelloway E. K., Fullagar C., Johnson D. (1996). Prediction and replication of the organizational and personal consequences of workplace sexual harassment. J. Manag. Psychol. 11 4–25. 10.1108/02683949610124771 [ CrossRef ] [ Google Scholar ]
• Baxter J., Wright E. O. (2000). The glass ceiling hypothesis: a comparative study of the United States, Sweden, and Australia. Gend. Soc. 14 275–294. 10.1177/089124300014002004 [ CrossRef ] [ Google Scholar ]
• Beaton A. M., Tougas F., Joly S. (1996). Neosexism among male managers: is it a matter of numbers? J. Appl. Soc. Psychol. 26 2189–2203. 10.1111/j.1559-1816.1996.tb01795.x [ CrossRef ] [ Google Scholar ]
• Becker J. C., Swim J. K. (2012). Reducing endorsement of benevolent and modern sexist beliefs: differential effects of addressing harm versus pervasiveness of benevolent sexism. Soc. Psychol. 43 127–137. 10.1027/1864-9335/a000091 [ CrossRef ] [ Google Scholar ]
• Becker J. C., Wright S. C. (2011). Yet another dark side of chivalry: benevolent sexism undermines and hostile sexism motivates collective action for social change. J. Pers. Soc. Psychol. 101 62–77. 10.1037/a0022615 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Begany J. J., Milburn M. A. (2002). Psychological predictors of sexual harassment: authoritarianism, hostile sexism, and rape myths. Psychol. Men Masc. 3 119–126. 10.1037/1524-9220.3.2.119 [ CrossRef ] [ Google Scholar ]
• Berdhal J. L. (2007). The sexual harassment of uppity women. J. Appl. Psychol. 92 425–437. 10.1037/0021-9010.92.2.425 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Berger J., Conner T. L., Fisek M. H. (eds). (1974). Expectation States Theory: A Theoretical Research Program. Cambridge, MA: Winthrop Publishers. [ Google Scholar ]
• Berger J., Fisek M. H., Norman R. Z., Wagner D. G. (1998). “Formation of reward expectations in status situations,” in Status, Power, and Legitimacy eds Berger J., Zelditch M., Jr. (New Brunswick, NJ: Transaction Publishers; ) 121–153. [ Google Scholar ]
• Bernardin H. J., Hagan C. M., Kane J. S., Villanova P. (1998). “Effective performance management: a focus on precision, customers, and situational constraints,” in Performance Appraisal: State of the Art in Practice ed. Smither J. W. (San Francisco, CA: Jossey-Bass; ) 3–48. [ Google Scholar ]
• Bianchi S. M. (2000). Maternal employment and time with children: dramatic change or surprising continuity? Demography 47 401–414. 10.1353/dem.2000.0001 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Bianchi S. M., Milkie M. A., Sayer L. C., Robinson J. P. (2000). Is anyone doing the housework? Trends in the gender division of household labor. Soc. Forces 79 191–228. 10.1093/sf/79.1.191 [ CrossRef ] [ Google Scholar ]
• Biernat M., Tocci M. J., Williams J. C. (2012). The language of performance evaluations: gender-based shifts in content and consistency of judgment. Soc. Psychol. Personal. Sci. 3 186–192. 10.1177/1948550611415693 [ CrossRef ] [ Google Scholar ]
• Björkqvist K., Österman K., Hjelt-Bäck M. (1994). Aggression among university employees. Aggress. Behav. 20 173–184. 10.1002/1098-2337(1994)20:3<173::AID-AB2480200304>3.0.CO;2-D [ CrossRef ] [ Google Scholar ]
• Blau F. D., DeVaro J. (2007). New evidence on gender differences in promotion rates: an empirical analysis of a sample of new hires. Ind. Relat. 46 511–550. 10.1111/j.1468-232X.2007.00479.x [ CrossRef ] [ Google Scholar ]
• Bobocel R. D., Son Hing L. S., Davey L. M., Stanley D. J., Zanna M. P. (1998). Justice-based opposition to social policies: is it genuine? J. Pers. Soc. Psychol. 75 653–669. 10.1037/0022-3514.75.3.653 [ CrossRef ] [ Google Scholar ]
• Boldry J., Wood W., Kashy D. A. (2001). Gender stereotypes and the evaluation of men and women in military training. J. Soc. Issues 57 689–705. 10.1111/0022-4537.00236 [ CrossRef ] [ Google Scholar ]
• Borrel C., Artazcoz L., Gil-González D., Pérez G., Rohlfs I., Pérez K. (2010). Perceived sexism as a health determinant in Spain. J. Womens Health 19 741–750. 10.1089/jwh.2009.1594 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Branscombe N. R. (1998). Thinking about one’s gender group’s privileges or disadvantages: consequences for well-being in women and men. Br. J. Soc. Psychol. 37 167–184. 10.1111/j.2044-8309.1998.tb01163.x [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Brass D. J. (1985). Men’s and women’s networks: a study of interaction patterns and influence in an organization. Acad. Manag. J. 28 327–343. 10.2307/256204 [ CrossRef ] [ Google Scholar ]
• Budig M. J. (2002). Male advantage and the gender composition of jobs: who rides the glass escalator? Soc. Probl. 49 258–277. 10.1525/sp.2002.49.2.258 [ CrossRef ] [ Google Scholar ]
• Burke R. J. (2002). Organizational values, job experiences and satisfactions among managerial and professional women and men: advantage men? Women Manag. Rev. 17 228–236. 10.1108/09649420210433184 [ CrossRef ] [ Google Scholar ]
• Cable D. M., Parsons C. K. (2001). Socialization tactics and person-organization fit. Pers. Psychol. 54 1–23. 10.1111/j.1744-6570.2001.tb00083.x [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Case K. A. (2007). Raising male privilege awareness and reducing sexism: an evaluation of diversity courses. Psychol. Women Q. 31 426–435. 10.1111/j.1471-6402.2007.00391.x [ CrossRef ] [ Google Scholar ]
• Cassirer N., Reskin B. (2000). High Hopes: organizational position, employment experiences, and women and men’s promotion aspirations. Work Occup. 27 438–463. 10.1177/0730888400027004002 [ CrossRef ] [ Google Scholar ]
• Castilla E. J., Benard S. (2010). The paradox of meritocracy in organizations. Admin. Sci. Q. 55 543–576. 10.2189/asqu.2010.55.4.543 [ CrossRef ] [ Google Scholar ]
• Ceci S. J., Williams W. M., Barnett S. M. (2009). Women’s underrepresentation in science: sociocultural and biological considerations. Psychol. Bull. 135 218–261. 10.1037/a0014412 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Chemers M. M. (1997). An Integrative Theory of Leadership. Mahwah, NJ: Lawrence Erlbaum Associates. [ Google Scholar ]
• Chugh D. (2004). Societal and managerial implications of implicit social cognition: why milliseconds matter. Soc. Justice Res. 17 203–222. 10.1023/B:SORE.0000027410.26010.40 [ CrossRef ] [ Google Scholar ]
• Chung-Yan G. A., Cronshaw S. F. (2002). A critical re-examination and analysis of cognitive ability tests using the Thorndike model of fairness. J. Occup. Organ. Psychol. 75 489–509. 10.1348/096317902321119709 [ CrossRef ] [ Google Scholar ]
• Cikara M., Lee T. L., Fiske S. T., Glick P. (2008). “Ambivalent sexism at home and at work: how attitudes toward women in relationships foster exclusion in the public sphere,” in Social and Psychological Bases of Ideology and System Justification eds Jost J. T., Kay A. C., Thorisdottir H. (New York: Oxford University Press; ) 444–462. [ Google Scholar ]
• Cleveland J. N., Stockdale M., Murphy K. R., Gutek B. A. (2000). Women and Men in Organizations: Sex and Gender Issues at Work. Mahwah, NJ: Lawrence Erlbaum Associates. [ Google Scholar ]
• Cohen P. N., Huffman M. L. (2007). Working for the woman? Female managers and the gender wage gap. Am. Sociol. Rev. 72 681–704. 10.1177/000312240707200502 [ CrossRef ] [ Google Scholar ]
• Cohen-Charash Y., Spector P. E. (2001). The role of justice in organizations: a meta-analysis. Organ. Behav. Hum. Decis. Process. 86 278–321. 10.1006/obhd.2001.2958 [ CrossRef ] [ Google Scholar ]
• Correll S. J., Ridgeway C. L. (2003). “Expectation states theory,” in Handbook of Social Psychology ed. Delamater J. (New York, NY: Kluwer Academic Press; ) 29–51. [ Google Scholar ]
• Cortina L. M., Lonsway K. A., Magley V. J., Freeman L. V., Collinsworth L. L., Hunter M., et al. (2002). What’s gender got to do with it? Incivility in the federal courts. Law Soc. Inq. 27 235–270. 10.1111/j.1747-4469.2002.tb00804.x [ CrossRef ] [ Google Scholar ]
• Cortina L. M., Magley V. J., Williams J. H., Langhout R. D. (2001). Incivility in the workplace: incidence and impact. J. Occup. Health Psychol. 6 64–80. 10.1037/1076-8998.6.1.64 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Cox T. (1994). Cultural Diversity in Organizations: Theory, Research, and Practice. San Francisco, CA: Berrett-Koehler Publishers. [ Google Scholar ]
• Cox T. H., Blake S. (1991). Managing cultural diversity: implications for organizational competitiveness. Executive 5 45–56. 10.5465/AME.1991.4274465 [ CrossRef ] [ Google Scholar ]
• Cox T. H., Harquail C. V. (1991). Career paths and career success in the early career stages of male and female MBAs. J. Vocat. Behav. 39 54–75. 10.1016/0001-8791(91)90004-6 [ CrossRef ] [ Google Scholar ]
• Crocker D., Kalemba V. (1999). The incidence and impact of women’s experiences of sexual harassment in Canadian workplaces. Can. Rev. Sociol. 36 541–558. 10.1111/j.1755-618X.1999.tb00963.x [ CrossRef ] [ Google Scholar ]
• Crosby F. (1984). The denial of personal discrimination. Am. Behav. Sci. 27 371–386. 10.1177/000276484027003008 [ CrossRef ] [ Google Scholar ]
• Crosby F., Clayton S., Alksnis O., Hemker K. (1986). Cognitive biases in the perception of discrimination: the importance of format. Sex Roles 14 637–646. 10.1007/BF00287694 [ CrossRef ] [ Google Scholar ]
• Cuddy A. J. C., Fiske S. T., Glick P. (2004). When professionals become mothers, warmth doesn’t cut the ice. J. Soc. Issues 60 701–718. 10.1111/j.0022-4537.2004.00381.x [ CrossRef ] [ Google Scholar ]
• Dardenne B., Dumont M., Bollier T. (2007). Insidious dangers of benevolent sexism: consequences for women’s performance. J. Pers. Soc. Psychol. 93 764–779. 10.1037/0022-3514.93.5.764 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Davison H. K., Burke M. J. (2000). Sex discrimination in simulated employment contexts: a meta-analytic investigation. J. Vocat. Behav. 56 225–248. 10.1006/jvbe.1999.1711 [ CrossRef ] [ Google Scholar ]
• de Lemus S., Navarro L., Velázquez M. J., Ryan E., Megías J. L. (2014). From sex to gender: a university intervention to reduce sexism in Argentina, Spain, and El Salvador. J. Soc. Issues 70 741–762. 10.1111/josi.12089 [ CrossRef ] [ Google Scholar ]
• De Pater I. E., Van Vianen A. E. M., Bechtoldt M. N. (2010). Gender differences in job challenge: a matter of task allocation. Gend. Work Organ. 17 433–453. 10.1111/j.1468-0432.2009.00477.x [ CrossRef ] [ Google Scholar ]
• Durden G. C., Gaynor P. E. (1998). More on the cost of being other than white and male. Am. J. Econ. Sociol. 57 95–103. 10.1111/j.1536-7150.1998.tb03259.x [ CrossRef ] [ Google Scholar ]
• Eagly A. H., Carli L. L. (2007). Through the Labyrinth: The Truth about How Women become Leaders. Boston, MA: Harvard Business School Publishing. [ Google Scholar ]
• Eagly A. H., Karau S. J. (2002). Role congruity theory of prejudice toward female leaders. Psychol. Rev. 109 573–598. 10.1037/0033-295X.109.3.573 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Eagly A. H., Makhijani M. G., Klonsky B. G. (1992). Gender and the evaluation of leaders: a meta-analysis. Psychol. Bull. 111 3–22. 10.1037/0033-2909.111.1.3 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Ellemers N., Heuvel H., Gilder D., Maass A., Bonvini A. (2004). The underrepresentation of women in science: differential commitment or the queen bee syndrome? Br. J. Soc. Psychol. 43 315–338. 10.1348/0144666042037999 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Elsass P. M., Graves L. M. (1997). Demographic diversity in decision-making groups: the experiences of women and people of color. Acad. Manag. Rev. 22 946–973. 10.5465/AMR.1997.9711022111 [ CrossRef ] [ Google Scholar ]
• Elsbach K. D., Cable D. M., Sherman J. W. (2010). How passive ‘face time’ affects perceptions of employees: evidence of spontaneous trait inference. Hum. Relat. 63 735–760. 10.1177/0018726709353139 [ CrossRef ] [ Google Scholar ]
• Festinger L. (1962). A Theory of Cognitive Dissonance. Stanford, CA: Stanford University Press. [ Google Scholar ]
• Fine S. A., Cronshaw S. F. (1999). Functional Job Analysis: A Foundation for Human Resources Management. Mahwah, NJ: Lawrence Erlbaum Associates, Inc. [ Google Scholar ]
• Firth M. (1982). Sex discrimination in job opportunities for women. Sex Roles 8 891–901. 10.1007/BF00287858 [ CrossRef ] [ Google Scholar ]
• Fiske A. P., Haslam N., Fiske S. T. (1991). Confusing one person with another: what errors reveal about the elementary forms of social relations. J. Pers. Soc. Psychol. 60 656–674. 10.1037/0022-3514.60.5.656 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Fiske S. T., Cuddy A. J. C., Glick P., Xu J. (2002). A model of (often mixed) stereotype content: competence and warmth respectively follow from perceived status and competition. J. Pers. Soc. Psychol. 82 878–902. 10.1037//0022-3514.82.6.878 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Fiske S. T., Xu J., Cuddy A. J. C., Glick P. (1999). (Dis)respecting versus (dis)liking: status and interdependence predict ambivalent stereotypes of competence and warmth. J. Soc. Issues 55 473–489. 10.1111/0022-4537.00128 [ CrossRef ] [ Google Scholar ]
• Fitzgerald L. F., Gelfand M. J., Drasgow F. (1995a). Measuring sexual harassment: theoretical and psychometric advances. Basic Appl. Soc. Psychol. 17 425–445. 10.1207/s15324834basp1704_2 [ CrossRef ] [ Google Scholar ]
• Fitzgerald L. F., Hulin C. L., Drasgow F. (1995b). “The antecedents and consequences of sexual harassment in organizations: an integrated model,” in Job Stress in a Changing Workforce: Investigating Gender, Diversity, and Family Issues eds Keita G., Hurrell J., Jr. (Washington, DC: American Psychological Association; ) 55–73. [ Google Scholar ]
• Fitzgerald L. F., Shullman S. L., Bailey N., Richards M., Swecker J., Gold Y., et al. (1988). The incidence and dimensions of sexual harassment in academia and the workplace. J. Vocat. Behav. 32 152–175. 10.1016/0001-8791(88)90012-7 [ CrossRef ] [ Google Scholar ]
• Ford T. E., Boxer C. F., Armstrong J., Edel J. R. (2008). More than “just a joke”: the prejudice-releasing function of sexist humor. Pers. Soc. Psychol. Bull. 34 159–170. 10.1177/0146167207310022 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Ford T. E., Wentzel E. R., Lorion J. (2001). Effects of exposure to sexist humor on perceptions of normative tolerance of sexism. Eur. J. Soc. Psychol. 31 677–691. 10.1002/ejsp.56 [ CrossRef ] [ Google Scholar ]
• Fuegen K., Biernat M., Haines E., Deaux K. (2004). Mothers and fathers in the workplace: how gender and parental status influence judgements of job-related competence. J. Soc. Issues 60 737–754. 10.1111/j.0022-4537.2004.00383.x [ CrossRef ] [ Google Scholar ]
• Galinsky E., Bond J., Sakai K. (2008). 2008 National Study of Employers. Available at: http://familiesandwork.org/site/research/reports/2008nse.pdf [ Google Scholar ]
• Gelfand M. J., Nishii L. H., Raver J. L., Schneider B. (2007). Discrimination in Organizations: An Organizational-Level Systems Perspective (CAHRS Working Paper #07-08). Ithaca, NY: Cornell University. Retrieved from Cornell University, School of Industrial and Labor Relations, Center for Advanced Human Resource Studies. [ Google Scholar ]
• Gerhart B., Rynes S. (1991). Determinants and consequences of salary negotiations by male and female MBA graduates. J. Appl. Psychol. 76 256–262. 10.1037/0021-9010.76.2.256 [ CrossRef ] [ Google Scholar ]
• Gilbert v. DaimlerChrysler Corp. (2004). 470 Mich. 749, 685 N.W.2d 391 2004 Lansing, MI: Supreme Court of Michigan. [ Google Scholar ]
• Glass J. (2004). Blessing or curse? Work-family policies and mother’s wage growth over time. Work Occup. 31 367–394. 10.1177/0730888404266364 [ CrossRef ] [ Google Scholar ]
• Glick P. (2013). “BS at work: how benevolent sexism undermines women and justifies backlash,” in Paper Presented at the Harvard Business School symposium Gender & Work: Challenging Conventional Wisdom Boston, MA. [ Google Scholar ]
• Glick P., Diebold J., Bailey-Werner B., Zhu L. (1997). The two faces of Adam: ambivalent sexism and polarized attitudes toward women. Pers. Soc. Psychol. Bull. 23 1323–1334. 10.1177/01461672972312009 [ CrossRef ] [ Google Scholar ]
• Glick P., Fiske S. T. (1996). The ambivalent sexism inventory: differentiating hostile and benevolent sexism. J. Pers. Soc. Psychol. 70 491–512. 10.1037/0022-3514.70.3.491 [ CrossRef ] [ Google Scholar ]
• Glick P., Fiske S. T. (2001). An ambivalent alliance: hostile and benevolent sexism as complementary justifications for gender inequality. Am. Psychol. 56 109–118. 10.1037/0003-066X.56.2.109 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Glick P., Fiske S. T., Mladinic A., Saiz J. L., Abrams D., Masser B., et al. (2000). Beyond prejudice as simple antipathy: hostile and benevolent sexism across culture. J. Pers. Soc. Psychol. 79 763–775. 10.1037/0022-3514.79.5.763 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Goldberg P. (1968). Are women prejudiced against women? Transaction 5 316–322. [ Google Scholar ]
• Goldenhar L. M., Swanson N. G., Hurrell J. J., Jr., Ruder A., Deddens J. (1998). Stressors and adverse outcomes for female construction workers. J. Occup. Health Psychol. 3 19–32. 10.1037/1076-8998.3.1.19 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Good J. J., Rudman L. A. (2010). When female applicants meet sexist interviewers: the costs of being a target of benevolent sexism. Sex Roles 62 481–493. 10.1007/s11199-009-9685-6 [ CrossRef ] [ Google Scholar ]
• Grandey A. A., Cropanzano R. (1999). The conservation of resources model applied to work-family conflict and strain. J. Vocat. Behav. 54 350–370. 10.1006/jvbe.1998.1666 [ CrossRef ] [ Google Scholar ]
• Grant R. M. (2010). Contemporary Strategy Analysis, Seventh Edition. New York, NY: Wiley. [ Google Scholar ]
• Greenhaus J. H., Beutell N. J. (1985). Sources of conflict between work and family roles. Acad. Manag. Rev. 10 76–88. 10.5465/AMR.1985.4277352 [ CrossRef ] [ Google Scholar ]
• Gutek B. A., Cohen A. G., Tsui A. (1996). Reactions to perceived sex discrimination. Hum. Relat. 49 791–813. 10.1177/001872679604900604 [ CrossRef ] [ Google Scholar ]
• Hagen R. L., Kahn A. (1975). Discrimination against competent women. J. Appl. Soc. Psychol. 5 362–376. 10.1111/j.1559-1816.1975.tb00688.x [ CrossRef ] [ Google Scholar ]
• Hakim C. (2006). Women, careers, and work-life preferences. Br. J. Guid. Counc. 34 279–294. 10.1080/03069880600769118 [ CrossRef ] [ Google Scholar ]
• Hartnell C. A., Walumbwa F. O. (2011). “Transformational leadership and organizational culture,” in The Handbook of Organizational Culture and Climate eds Ashkanasy N. M., Wilderom C. P. M., Peterson M. F. (Thousand Oaks, CA: Sage Publications; ) 225–248. [ Google Scholar ]
• Hebl M. R., King E. B., Glick P., Singletary S. L., Kazama S. (2007). Hostile and benevolent reactions toward pregnant women: complementary interpersonal punishments and rewards that maintain traditional roles. J. Appl. Psychol. 92 1499–1511. 10.1037/0021-9010.92.6.1499 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Heilman M. E. (1983). “Sex bias in work settings: the lack of fit model,” in Research in Organizational Behavior Vol. 5 eds Staw B., Cummings L. (Greenwich, CT: JAI press; ) 269–298. [ Google Scholar ]
• Heilman M. E. (1995). Sex stereotypes and their effects in the workplace: what we know and what we don’t know. J. Soc. Behav. Pers. 10 3–26. [ Google Scholar ]
• Heilman M. E. (2001). Description and prescription: how gender stereotypes prevent women’s ascent up the organizational ladder. J. Soc. Issues 57 657–674. 10.1111/0022-4537.00234 [ CrossRef ] [ Google Scholar ]
• Heilman M. E., Block C. J., Lucas J. A. (1992). Presumed incompetent? Stigmatization and affirmative action efforts. J. Appl. Psychol. 77 536–544. 10.1037/0021-9010.77.4.536 [ CrossRef ] [ Google Scholar ]
• Heilman M. E., Block C. J., Stathatos P. (1997). The affirmative action stigma of incompetence: effects of performance information ambiguity. Acad. Manag. J. 40 603–625. 10.2307/257055 [ CrossRef ] [ Google Scholar ]
• Heilman M., Okimoto T. G. (2007). Why are women penalized for success at male tasks? The implied communality deficit. J. Appl. Psychol. 92 81–92. 10.1037/0021-9010.92.1.81 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Heilman M., Okimoto T. G. (2008). Motherhood: a potential source of bias in employment decisions. J. Appl. Psychol. 93 189–198. 10.1037/0021-9010.93.1.189 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Hicks-Clarke D., Iles P. (2000). Climate for diversity and its effects on career and organisational attitudes and perceptions. Person. Rev. 29 324–345. 10.1108/00483480010324689 [ CrossRef ] [ Google Scholar ]
• Hitlan R. T., Pryor J. B., Hesson-McInnis M. S., Olson M. (2009). Antecedents of gender harassment: an analysis of person and situation factors. Sex Roles 61 794–807. 10.1007/s11199-009-9689-2 [ CrossRef ] [ Google Scholar ]
• Holland J. L. (1996). Exploring careers with a typology: what we have learned and some new directions. Am. Psychol. 51 397–406. 10.1037/0003-066X.51.4.397 [ CrossRef ] [ Google Scholar ]
• Hough L. M., Oswald F. L., Ployhart R. E. (2001). Determinants, detection, and amelioration of adverse impact in personnel selection procedures: issues, evidence, and lessons learned. Int. J. Sel. Assess. 9 152–194. 10.1111/1468-2389.00171 [ CrossRef ] [ Google Scholar ]
• House R. J., Aditya R. N. (1997). The social scientific study of leadership: quo vadis? J. Manag. 23 409–473. 10.1177/014920639702300306 [ CrossRef ] [ Google Scholar ]
• Huffman M. L., Velasco S. C. (1997). When more is less: sex composition, organizations, and earnings in U.S. firms . Work Occup. 24 214–244. 10.1177/0730888497024002005 [ CrossRef ] [ Google Scholar ]
• Hulin C. L., Fitzgerald L. F., Drasgow F. (1996). “Organizational influences on sexual harassment,” in Sexual Harassment in the Workplace: Perspectives, Frontiers, and Response Strategies. Women and Work: A Research and Policy Series Vol. 5 ed. Stockdale M. S. (Thousand Oaks, CA: Sage Publications; ) 127–150. [ Google Scholar ]
• Hunter J. E., Schmidt F. L., Jackson G. B. (1982). Meta-Analysis: Cumulating Research Findings Across Studies. Thousand Oaks, CA: Sage Publications. [ Google Scholar ]
• Hunter L. W., Bernhardt A., Hughes K. L., Skuratowicz E. (2001). It’s not just the ATMs: technology, firm strategies, jobs, and earnings in retail banking. Ind. Labor Relat. Rev. 54 402–424. 10.1177/001979390105400222 [ CrossRef ] [ Google Scholar ]
• Ittner C. D., Larcker D. F., Meyer M. W. (2003). Subjectivity and the weighting of performance measures: evidence from a balanced scorecard. Account. Rev. 78 725–758. 10.2308/accr.2003.78.3.725 [ CrossRef ] [ Google Scholar ]
• James E. H., Wooten L. P. (2006). Diversity crises: how firms manage discrimination lawsuits. Acad. Manag. J. 49 1103–1118. 10.5465/AMJ.2006.23478091 [ CrossRef ] [ Google Scholar ]
• Jayne M. E., Dipboye R. L. (2004). Leveraging diversity to improve business performance: research findings and recommendations for organizations. Hum. Resour. Manag. 43 409–424. 10.1002/hrm.20033 [ CrossRef ] [ Google Scholar ]
• Jung D., Wu A., Chow C. W. (2008). Towards understanding the direct and indirect effects of CEOs’ transformational leadership on firm innovation. Leadersh. Q. 19 582–594. 10.1016/j.leaqua.2008.07.007 [ CrossRef ] [ Google Scholar ]
• Kanter R. M. (1977). Men and Women of the Corporation. New York, NY: Basic Books. [ Google Scholar ]
• Kath L. M., Swody C. A., Magley V. J., Bunk J. A., Gallus J. A. (2009). Cross-level, three-way interactions among work-group climate, gender, and frequency of harassment on morale and withdrawal outcomes of sexual harassment. J. Occup. Organ. Psychol. 82 159–182. 10.1348/096317908X299764 [ CrossRef ] [ Google Scholar ]
• Kawakami K., Dion K. L. (1993). The impact of salient self-identities on relative deprivation and action intentions. Eur. J. Soc. Psychol. 23 525–540. 10.1002/ejsp.2420230509 [ CrossRef ] [ Google Scholar ]
• Kay A. C., Jost J. T., Young S. (2005). Victim derogation and victim enhancement as alternate routes to system justification. Psychol. Sci. 16 240–246. 10.1111/j.0956-7976.2005.00810.x [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Kelly E. L., Kalev A. (2006). Managing flexible work arrangements in US organizations: formalized discretion or a ‘right to ask’. Soc. Econ. Rev. 4 379–416. 10.1093/ser/mwl001 [ CrossRef ] [ Google Scholar ]
• King E. B., Botsford W., Hebl M. R., Kazama S., Dawson J. F., Perkins A. (2012). Benevolent sexism at work: gender differences in the distribution of challenging developmental experiences. J. Manag. 38 1835–1866. 10.1177/0149206310365902 [ CrossRef ] [ Google Scholar ]
• Klandermans B. (1997). The Social Psychology of Protest. Oxford: Basic Blackwell. [ Google Scholar ]
• Kohn M. L., Schooler C. (1982). Job conditions and personality: a longitudinal assessment of their reciprocal effects. Am. J. Sociol. 87 1257–1286. 10.1086/227593 [ CrossRef ] [ Google Scholar ]
• Konrad A. M., Cannings K., Goldberg C. B. (2010). Asymmetrical demography effects on psychological climate for gender diversity: differential effects of leader gender and work unit gender composition among Swedish doctors. Hum. Relat. 63 1661–1685. 10.1177/0018726710369397 [ CrossRef ] [ Google Scholar ]
• Konrad A. M., Linnehan F. (1995). Formalized HRM structures: coordinating equal employment opportunity or concealing organizational practices? Acad. Manag. J. 38 787–820. 10.2307/256746 [ CrossRef ] [ Google Scholar ]
• Kozlowski S. W., Doherty M. L. (1989). Integration of climate and leadership: examination of a neglected issue. J. Appl. Psychol. 74 546–553. 10.1037/0021-9010.74.4.546 [ CrossRef ] [ Google Scholar ]
• Kristof-Brown A. L., Zimmerman R. D., Johnson E. C. (2005). Consequences of individuals’ fit at work: a meta-analysis of person-job, person-organization, person-group, and person-supervisor fit. Pers. Psychol. 58 281–342. 10.1111/j.1744-6570.2005.00672.x [ CrossRef ] [ Google Scholar ]
• Kulik C. T., Bainbridge H. T. J. (2005). “Psychological perspectives on workplace diversity,” in Handbook of Workplace Diversity eds Konrad A. M., Prasad P., Pringle J. K. (Thousand Oaks, CA: Sage Publications; ) 25–52. [ Google Scholar ]
• Lamont M., Mizrachi N. (2012). Ordinary people doing extraordinary things: responses to stigmatization in comparative perspective. Ethn. Racial Stud. 35 365–381. 10.1080/01419870.2011.589528 [ CrossRef ] [ Google Scholar ]
• Lazear E. P., Rosen S. (1990). Male-female wage differentials in job ladders. J. Labor Econ. 8 106–123. 10.1016/j.sapharm.2011.06.003 [ CrossRef ] [ Google Scholar ]
• Leskinen E. A., Cortina L. M., Kabat D. B. (2011). Gender harassment: broadening our understanding of sex-based harassment at work. Law Hum. Behav. 35 25–39. 10.1007/s10979-010-9241-5 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Levitin T., Quinn R. P., Staines G. L. (1971). Sex discrimination against the American working woman. Am. Behav. Sci. 15 237–254. 10.1177/000276427101500207 [ CrossRef ] [ Google Scholar ]
• Lewin K. (1935). A Dynamic Theory of Personality. New York, NY: McGraw-Hill. [ Google Scholar ]
• Lewin K. (1951). Field Theory in Social Science: Selected Theoretical Papers. Oxford: Harpers. [ Google Scholar ]
• LexisNexis. (2010). Mealy’s Daily News Update: Pharmaceutical Firm Settles Gender Bias Class Claims for $ 175 Million. Available at: http://www.lexis.com [accessed July 15, 2010] [ Google Scholar ]
• Linehan M., Scullion H. (2008). The development of female global managers: the role of mentoring and networking. J. Bus. Ethics 83 29–40. 10.1007/s10551-007-9657-0 [ CrossRef ] [ Google Scholar ]
• Lips H. M. (2003). The gender pay gap: concrete indicator of women’s progress toward equality. Anal. Soc. Issues Public Policy 3 87–109. 10.1111/j.1530-2415.2003.00016.x [ CrossRef ] [ Google Scholar ]
• Lyness K. S., Thompson D. E. (1997). Above the glass ceiling? A comparison of matched samples of female and male executives. J. Appl. Psychol. 82 359–375. 10.1037/0021-9010.82.3.359 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Major B. (1994). From social inequality to personal entitlement: the role of social comparisons, legitimacy appraisals, and group membership. Adv. Exp. Soc. Psychol. 26 293–355. 10.1016/S0065-2601(08)60156-2 [ CrossRef ] [ Google Scholar ]
• Major B., Quinton W. J., Schmader T. (2003). Attributions to discrimination and self-esteem: impact of group identification and situational ambiguity. J. Exp. Soc. Psychol. 39 220–231. 10.1016/S0022-1031(02)00547-4 [ CrossRef ] [ Google Scholar ]
• Major B., Schmader T. (2001). “Legitimacy and the construal of social disadvantage,” in The Psychology of Legitimacy: Emerging Perspectives on Ideology, Justice, and Intergroup Relations eds Jost J. T., Major B. (Cambridge: Cambridge University Press; ) 176–200. [ Google Scholar ]
• Manne A. (2001). Women’s preferences, fertility and family policy: the case for diversity. People Place 9 6–25. [ Google Scholar ]
• Mansfield P., Koch P., Henderson J., Vicary J., Cohn M., Young E. (1991). The job climate for women in traditionally male blue-collar occupations. Sex Roles 25 63–79. 10.1007/BF00289317 [ CrossRef ] [ Google Scholar ]
• Marini M. M. (1989). Sex differences in earnings in the United States. Annu. Rev. Sociol. 15 343–380. 10.1146/annurev.so.15.080189.002015 [ CrossRef ] [ Google Scholar ]
• Martell R. F. (1991). Sex bias at work: the effects of attentional and memory demands on performance ratings of men and women. J. Appl. Soc. Psychol. 21 1939–1960. 10.1111/j.1559-1816.1991.tb00515.x [ CrossRef ] [ Google Scholar ]
• Martell R. F., Lane D. M., Emrich C. (1996). Male-female differences: a computer simulation. Am. Psychol. 51 157–158. 10.1037/0003-066X.51.2.157 [ CrossRef ] [ Google Scholar ]
• Martins L. L., Eddleston K. A., Veiga J. F. (2002). Moderators of the relationship between work-family conflict and career satisfaction. Acad. Manag. J. 45 399–409. 10.2307/3069354 [ CrossRef ] [ Google Scholar ]
• Martins L. L., Parsons C. K. (2007). Effects of gender diversity management on perceptions of organizational attractiveness: the role of individual differences in attitudes and beliefs. J. Appl. Psychol. 92 865–875. 10.1037/0021-9010.92.3.865 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Masser B. M., Abrams D. (2004). Reinforcing the glass ceiling: the consequences of hostile sexism for female managerial candidates. Sex Roles 51 609–615. 10.1007/s11199-004-5470-8 [ CrossRef ] [ Google Scholar ]
• Maume D. J. (1999). Glass ceilings and glass escalators: occupational segregation and race and sex differences in managerial promotions. Work Occup. 26 483–509. 10.1177/0730888499026004005 [ CrossRef ] [ Google Scholar ]
• McDonald P., Backstrom S., Dear K. (2008). Reporting sexual harassment: claims and remedies. Asia Pac. J. Hum. Resour. 46 173–195. 10.1177/1038411108091757 [ CrossRef ] [ Google Scholar ]
• McDonald S., Lin N., Ao D. (2009). Networks of Opportunity: gender, race, and job leads. Soc. Probl. 56 385–402. 10.1525/sp.2009.56.3.385 [ CrossRef ] [ Google Scholar ]
• McGinley A. (2007). Babes and beefcake: exclusive hiring arrangements and sexy dress codes. Duke J. Gend. Law Policy 14 257–283. [ Google Scholar ]
• McIntyre S., Moberg D. J., Posner B. Z. (1980). Preferential treatment in preselection decisions according to sex and race. Acad. Manag. J. 23 738–749. 10.2307/255560 [ CrossRef ] [ Google Scholar ]
• McLaughlin H., Uggen C., Blackstone A. (2012). Sexual harassment, workplace authority, and the paradox of power. Am. Sociol. Rev. 77 625–647. 10.1177/0003122412451728 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Miner-Rubino K., Cortina L. M. (2004). Working in a context of hostility toward women: implications for employees’ well-being. J. Occup. Health Psychol. 9 107–122. 10.1037/1076-8998.9.2.107 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Mitchell D., Hirschman R., Angelone D. J., Lilly R. S. (2004). A laboratory analogue for the study of peer sexual harassment. Psychol. Women Q. 28 194–203. 10.1111/j.1471-6402.2004.00136.x [ CrossRef ] [ Google Scholar ]
• Montañés P., de Lemus S., Bohner G., Megías J. L., Moya M., Garcia-Retamero R. (2012). Intergenerational transmission of benevolent sexism from mothers to daughters and its relation to daughters’ academic performance and goals. Sex Roles 66 468–478. 10.1007/s11199-011-0116-0 [ CrossRef ] [ Google Scholar ]
• Moore v. Alabama State University. (1996). 980 F. Supp. 426 (M.D. Ala. 1996) M.D. Alabama: United States District Court. [ Google Scholar ]
• Morgan W. B., Walker S. S., Hebl M. R., King E. B. (2013). A field experiment: reducing interpersonal discrimination toward pregnant job applicants. J. Appl. Psychol. 98 799–809. 10.1037/a0034040 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Morrison A. M., Von Glinow M. A. (1990). Women and minorities in management. Am. Psychol. 45 200–208. 10.1037/0003-066X.45.2.200 [ CrossRef ] [ Google Scholar ]
• Moss-Racusin C. A., Dovidio J. F., Brescoll V. L., Graham M. J., Handelsman J. (2012). Science faculty’s subtle gender biases favor male students. PNAS 109 16474–16479. 10.1073/pnas.1211286109 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Murphy K. R., Cleveland J. (1995). Understanding Performance Appraisal: Social, Organizational, and Goal-Based Perspectives. Thousand Oaks, CA: Sage Publications. [ Google Scholar ]
• Murrell A. J., Olson J. E., Frieze I. H. (1995). Sexual harassment and gender discrimination: a longitudinal study of women managers. J. Soc. Issues 51 139–149. 10.1111/j.1540-4560.1995.tb01313.x [ CrossRef ] [ Google Scholar ]
• Neumark D. (1996). Sex discrimination in restaurant hiring: an audit study. Q. J. Econ. 111 915–942. 10.2307/2946676 [ CrossRef ] [ Google Scholar ]
• Nishii L. H., Raver J. L. (2003). “Collective climates for diversity: evidence from a field study,” in Paper Presented at the Annual Conference of the Society for Industrial and Organizational Psychology Orlando, FL. [ Google Scholar ]
• Noe R. A. (1988). Women and mentoring: a review and research agenda. Acad. Manag. Rev. 13 65–78. 10.5465/AMR.1988.4306784 [ CrossRef ] [ Google Scholar ]
• Offermann L. R., Malamut A. B. (2002). When leaders harass: the impact of target perceptions of organizational leadership and climate on harassment reporting and outcomes. J. Appl. Psychol. 87 885–893. 10.1037/0021-9010.87.5.885 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Olian J. D., Schwab D. P., Haberfeld Y. (1988). The impact of applicant gender compared to qualifications on hiring recommendations: a meta-analysis of experimental studies. Organ. Behav. Hum. Decis. Process. 41 180–195. 10.1016/0749-5978(88)90025-8 [ CrossRef ] [ Google Scholar ]
• Ostroff C., Atwater L. E. (2003). Does whom you work with matter? Effects of referent group gender and age composition on managers’ compensation. J. Appl. Psychol. 88 725–740. 10.1037/0021-9010.88.4.725 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Ostroff C., Kinicki A. J., Muhammad R. S. (2012). “Organizational culture and climate,” in Handbook of Psychology, Industrial and Organizational Psychology 2nd Edn Vol. 12 eds Schmitt N. W., Highhouse S. (New York, NY: Wiley and Sons; ) 643–676. [ Google Scholar ]
• Ostroff C., Rothausen T. J. (1997). The moderating effect of tenure in person—environment fit: a field study in educational organizations. J. Occup. Organ. Psychol. 70 173–188. 10.1111/j.2044-8325.1997.tb00641.x [ CrossRef ] [ Google Scholar ]
• Perlow L. A. (1995). Putting the work back into work/family. Group Organ. Manag. 20 227–239. 10.1177/1059601195202009 [ CrossRef ] [ Google Scholar ]
• Perry E. L., Davis-Blake A., Kulik C. T. (1994). Explaining gender-based selection decisions: a synthesis of contextual and cognitive approaches. Acad. Manag. Rev. 19 786–820. 10.5465/AMR.1994.9412190219 [ CrossRef ] [ Google Scholar ]
• Peterson T., Morgan L. A. (1995). Separate and unequal: occupation-establishment sex segregation and gender wage gap. Am. J. Sociol. 101 329–365. 10.1086/230727 [ CrossRef ] [ Google Scholar ]
• Pryor J. B. (1995). The psychosocial impact of sexual harassment on women in the US Military. Basic Appl. Soc. Psychol. 17 581–603. 10.1207/s15324834basp1704_9 [ CrossRef ] [ Google Scholar ]
• Pryor J. B., Giedd J. L., Williams K. B. (1995). A social psychological model for predicting sexual harassment. J. Soc. Issues 51 69–84. 10.1111/j.1540-4560.1995.tb01309.x [ CrossRef ] [ Google Scholar ]
• Pryor J. B., LaVite C. M., Stoller L. M. (1993). A social and psychological analysis of sexual harassment: the person/situation interaction. J. Vocat. Behav. 42 68–83. 10.1006/jvbe.1993.1005 [ CrossRef ] [ Google Scholar ]
• Ragins B. R., Cornwall J. M. (2001). Pink triangles: antecedents and consequences of perceived workplace discrimination against gay and lesbian employees. J. Appl. Psychol. 86 1244–1261. 10.1037/0021-9010.86.6.1244 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Ragins B. R., Sundstrom E. (1989). Gender and power in organizations: a longitudinal perspective. Psychol. Bull. 105 51–88. 10.1037/0033-2909.105.1.51 [ CrossRef ] [ Google Scholar ]
• Reilly K. T., Wirjanto T. S. (1999). Does more mean less? The male/female wage gap and the proportion of females at the establishment level. Can. J. Econ. 32 906–929. 10.2307/136410 [ CrossRef ] [ Google Scholar ]
• Reskin B. F., McBrier D. B. (2000). Why not ascription? Organizations’ employment of male and female managers. Am. Sociol. Rev. 65 210–233. [ Google Scholar ]
• Roberson L., Galvin B. M., Charles A. C. (2007). When group identities matter: bias in performance appraisal. Acad. Manag. Ann. 1 617–650. 10.1080/078559818 [ CrossRef ] [ Google Scholar ]
• Rosen B., Jerdee T. H. (1974). Effects of applicant’s sex and difficulty of job on evaluations of candidates for management positions. J. Appl. Psychol. 59 511–512. 10.1037/h0037323 [ CrossRef ] [ Google Scholar ]
• Roth P. L., Purvis K. L., Bobko P. (2012). A meta-analysis of gender group differences for measures of job performance in field studies. J. Manag. 38 719–739. 10.1177/0149206310374774 [ CrossRef ] [ Google Scholar ]
• Rudman L. A. (1998). Self-promotion as a risk factor for women: the costs and benefits of counterstereotypical impression management. J. Pers. Soc. Psychol. 74 629–645. 10.1037/0022-3514.74.3.629 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Rudman L. A., Kilianski S. E. (2000). Implicit and explicit attitudes toward female authority. Pers. Soc. Psychol. Bull. 26 1315–1328. 10.1177/0146167200263001 [ CrossRef ] [ Google Scholar ]
• Rudman L. A., Phelan J. E. (2008). Backlash effects for disconfirming gender stereotypes in organizations. Res. Organ. Behav. 28 61–79. 10.1016/j.riob.2008.04.003 [ CrossRef ] [ Google Scholar ]
• Rudman L. A., Moss-Racusin C. A., Phelan J. E., Nauts S. (2012). Status incongruity and backlash effects: defending the gender hierarchy motivates prejudice against female leaders. J. Exp. Soc. Psychol. 48 165–179. 10.1016/j.jesp.2011.10.008 [ CrossRef ] [ Google Scholar ]
• Ruggiero K. M., Taylor D. M. (1995). Coping with discrimination: how disadvantaged group members perceive the discrimination that confronts them. J. Pers. Soc. Psychol. 68 826–838. 10.1037/0022-3514.68.5.826 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Russell B. L., Trigg K. Y. (2004). Tolerance of sexual harassment: an examination of gender differences, ambivalent sexism, social dominance, and gender roles. Sex Roles 50 565–573. 10.1023/B:SERS.0000023075.32252.fd [ CrossRef ] [ Google Scholar ]
• Rynes S., Rosen B. (1995). A field survey of factors affecting the adoption and perceived success of diversity training. Pers. Psychol. 48 247–270. 10.1111/j.1744-6570.1995.tb01756.x [ CrossRef ] [ Google Scholar ]
• Salvaggio A. N., Streich M., Hopper J. E. (2009). Ambivalent sexism and applicant evaluations: effects on ambiguous applicants. Sex Roles 61 621–633. 10.1007/s11199-009-9640-6 [ CrossRef ] [ Google Scholar ]
• Sanchez J. I., De La Torre P. (1996). A second look at the relationship between rating and behavioral accuracy in performance appraisal. J. Appl. Psychol. 81 3–10. 10.1037/0021-9010.81.1.3 [ CrossRef ] [ Google Scholar ]
• Schein E. H. (2010). Organizational Culture and Leadership , Vol. 2 New York, NY: Jossey-Bass [ Google Scholar ]
• Schmader T., Johns M., Forbes C. (2008). An integrated process model of stereotype threat effects on performance. Psychol. Rev. 115 336–356. 10.1037/0033-295X.115.2.336 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Schmitt M. T., Branscombe N. R., Kobrynowicz D., Owen S. (2002). Perceiving discrimination against one’s gender group has different implications for well-being in women and men. Pers. Soc. Psychol. Bull. 28 197–210. 10.1177/0146167202282006 [ CrossRef ] [ Google Scholar ]
• Schmitt M. T., Branscombe N. R., Postmes T., Garcia A. (2014). The consequences of perceived discrimination for psychological well-being: a meta-analytic review. Psychol. Bull. 140 921–948. 10.1037/a0035754 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Schneider B. (1975). Organizational climates: an essay. Pers. Psychol. 28 447–479. 10.1111/j.1744-6570.1975.tb01386.x [ CrossRef ] [ Google Scholar ]
• Schneider B. (1983). “The attraction–selection–attrition framework,” in Organizational Effectiveness: A Comparison of Multiple Models eds Cameron K. S., Whetten D. A. (New York, NY: Academic Press; ). [ Google Scholar ]
• Schneider B. (1987). The people make the place. Pers. Psychol. 40 437–453. 10.1111/j.1744-6570.1987.tb00609.x [ CrossRef ] [ Google Scholar ]
• Schneider B., Ehrhart M. G., Macey W. H. (2011). “Organizational climate research: achievements and the road ahead,” in The Handbook of Organizational Culture and Climate 2nd Edn eds Ashkanasy N. M., Wilderom C. P. M., Peterson M. F. (Thousand Oaks, CA: Sage; ) 29–49. [ Google Scholar ]
• Schneider K. T., Swan S., Fitzgerald L. F. (1997). Job-related and psychological effects of sexual harassment in the workplace: empirical evidence from two organizations. J. Appl. Psychol. 82 401–415. 10.1037/0021-9010.82.3.401 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Schneyer K. L. (1998). Hooting: public and popular discourse about sex discrimination. Univ. Mich. J. Law Reform 31 551–636. [ Google Scholar ]
• Schwartz M. D., DeKeseredy W. S. (2000). Aggregation bias and woman abuse: variations by male peer support, region, language, and school type. J. Interpersh. Violence 15 555–565. 10.1177/088626000015006001 [ CrossRef ] [ Google Scholar ]
• Sheltzer J. M., Smith J. C. (2014). Elite male faculty in the life sciences employ fewer women. PNAS 111 10107–10112. 10.1073/pnas.1403334111 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Smith P. C., Kendall L. M. (1963). Retranslation of expectations: an approach to the construction of unambiguous anchors for rating scales. J. Appl. Psychol. 47 149–155. 10.1037/h0047060 [ CrossRef ] [ Google Scholar ]
• Snyder K. A., Green A. I. (2008). Revisiting the glass escalator: the case of gender segregation in a female dominated occupation. Soc. Probl. 55 271–299. 10.1525/sp.2008.55.2.271 [ CrossRef ] [ Google Scholar ]
• Son Hing L. S. (2012). Responses to stigmatization: the moderating roles of primary and secondary appraisals. Du Bois Rev. 9 149–168. 10.10170/S1742058X11000592 [ CrossRef ] [ Google Scholar ]
• Son Hing L. S., Bobocel D. R., Zanna M. P. (2002). Meritocracy and opposition to affirmative action: making concessions in the face of discrimination. J. Pers. Soc. Psychol. 83 493–509. 10.1037/0022-3514.83.3.493 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Son Hing L. S., Bobocel D. R., Zanna M. P., Garcia D. M., Gee S. S., Orazietti K. (2011). The merit of meritocracy. J. Pers. Soc. Psychol. 101 433–450. 10.1037/a0024618 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Son Hing L. S., Chung-Yan G. A., Hamilton L. K., Zanna M. P. (2008). A two-dimensional model that employs explicit and implicit attitudes to characterize prejudice. J. Pers. Soc. Psychol. 94 971–987. 10.1037/0022-3514.94.6.971 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Son Hing L. S., Zanna M. P. (2010). “Individual differences,” in The Sage Handbook of Prejudice, Stereotyping and Discrimination eds Dovidio J. F., Hewstone M., Glick P., Esses V. (London: SAGE Publications Ltd.) 163–179. [ Google Scholar ]
• Spencer S. J., Steele C. M., Quinn D. M. (1999). Stereotype threat and women’s math performance. J. Exp. Soc. Psychol. 35 4–28. 10.1006/jesp.1998.1373 [ CrossRef ] [ Google Scholar ]
• Spreitzer G. M., McCall M. W., Mahoney J. D. (1997). Early identification of international executive potential. J. Appl. Psychol. 82 6–29. 10.1037/0021-9010.82.1.6 [ CrossRef ] [ Google Scholar ]
• Stangor C., Lynch L., Duan C., Glass B. (1992). Categorization of individuals on the basis of multiple social features. J. Pers. Soc. Psychol. 62 207–218. 10.1037/0022-3514.62.2.207 [ CrossRef ] [ Google Scholar ]
• Stangor C., Swim J. K., Sechrist G. B., DeCoster J., Van Allen K. L., Ottenbreit A. (2003). Ask, answer, and announce: three stages in perceiving and responding to discrimination. Eur. Rev. Soc. Psychol. 14 277–311. 10.1080/10463280340000090 [ CrossRef ] [ Google Scholar ]
• Steinpreis R. E., Anders K. A., Ritzke D. (1999). The impact of gender on the review of the curricula vitae of job applicants and tenure candidates: a national empirical study. Sex Roles 41 509–528. 10.1023/A:1018839203698 [ CrossRef ] [ Google Scholar ]
• Stone P., Lovejoy M. (2004). Fast-track women and the “choice” to stay home. Ann. Am. Acad. Polit. Soc. Sci. 596 62–83. 10.1177/0002716204268552 [ CrossRef ] [ Google Scholar ]
• Stroh L. K., Brett J. M., Reilly A. H. (1992). All the right stuff: a comparison of female and male managers’ career progression. J. Appl. Psychol. 77 251–260. 10.1037/0021-9010.77.3.251 [ CrossRef ] [ Google Scholar ]
• Swidler A. (1986). Culture in action: symbols and strategies. Am. Sociol. Rev. 51 273–286. 10.2307/2095521 [ CrossRef ] [ Google Scholar ]
• Thomas-Hunt M. C., Phillips K. W. (2004). When what you know is not enough: expertise and gender dynamics in task groups. Pers. Soc. Psychol. Bull. 30 1585–1598. 10.1177/0146167204271186 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Tosi H. L., Einbender S. W. (1985). The effects of the type and amount of information in sex discrimination research: a meta-analysis. Acad. Manag. J. 28 712–723. 10.2307/256127 [ CrossRef ] [ Google Scholar ]
• Triana M. D. C., García M. F. (2009). Valuing diversity: a group-value approach to understanding the importance of organizational efforts to support diversity. J. Organ. Behav. 30 941–962. 10.1002/job.598 [ CrossRef ] [ Google Scholar ]
• Triana M. D. C., García M. F., Colella A. (2010). Managing diversity: how organizational efforts to support diversity moderate the effects of perceived racial discrimination on affective commitment. Pers. Psychol. 63 817–843. 10.1111/j.1744-6570.2010.01189.x [ CrossRef ] [ Google Scholar ]
• Trice H. M., Beyer J. M. (1993). The Cultures of Work Organizations. Englewood Cliffs, NJ: Prentice-Hall. [ Google Scholar ]
• Tsui A. S., O’Reilly C. A. (1989). Beyond simple demographic effects: the importance of relational demography in superior-subordinate dyads. Acad. Manag. J. 32 402–423. 10.2307/256368 [ CrossRef ] [ Google Scholar ]
• U.S. Census Bureau. (2007). Statistical Abstract of the United States: 2007. Washington, DC. Available at: http://www.census.gov/prod/www/statistical_abstract.html [ Google Scholar ]
• U.S. Government Accountability Office. (2003). Women’s Earnings: Work Patterns Partially Explain Difference Between Men’s and Women’s Earnings (GAO-04-35). Available at: http://www.gao.gov [ Google Scholar ]
• van Knippenberg D., De Dreu C. K., Homan A. C. (2004). Work group diversity and group performance: an integrative model and research agenda. J. Appl. Psychol. 89 1008–1022. 10.1037/0021-9010.89.6.1008 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• van Zomeren M., Postmes T., Spears R. (2008). Toward an integrative social identity model of collective action: a qualitative research synthesis of three socio-psychological perspectives. Psychol. Bull. 134 505–535. 10.1037/0033-2909.134.4.504 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Velez et al. v. Novartis Pharmaceuticals Crop et al. (2010). No. 04 Civ. 9194 (S.D. N.Y., May 19, 2010). [ Google Scholar ]
• Vescio T. K., Gervais S. J., Snyder M., Hoover A. (2005). Power and the creation of patronizing environments: the stereotype-based behaviors of the powerful and their effects on female performance in masculine domains. J. Pers. Soc. Psychol. 88 658–672. 10.1037/0022-3514.88.4.658 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Vorauer J. D., Kumhyr S. M. (2001). Is this about you or me? Self-versus other-directed judgments and feelings in response to intergroup interaction. Pers. Soc. Psychol. Bull. 27 706–719. 10.1177/0146167201276006 [ CrossRef ] [ Google Scholar ]
• Wal-Mart Stores Inc. v. Dukes. (2004/2011). 222 F.R.D. 137 (N.D. Cal. 2001) aff’d 509 F.3d. 1168 (9C 2007) aff’d 603 F.3d 571 (9C 2010) rev’d 564 U.S. ___ (2011), Docket No. 10–277. [ Google Scholar ]
• Welle B., Heilman M. E. (2005). “Formal and informal discrimination against women at work: the role of gender stereotypes,” in Research in Social Issues in Management eds Steiner D., Gilliland S. W., Skarlicki D. (Westport, CT: Information Age Publishers; ) 23–40. [ Google Scholar ]
• Westall R. (2015). Restaurant Dress Codes Open to Sexual Discrimination Complaints. CBC. Available at: http://www.cbc.ca/news/canada/restaurant-dress-codes-open-to-sexual-discrimination-complaints-1.3012522 [accessed March 31, 2015] [ Google Scholar ]
• Williams C. L. (1992). The glass escalator: hidden advantages for men in the “female” professions. Soc. Probl. 39 253–267. 10.2307/3096961 [ CrossRef ] [ Google Scholar ]
• Williams J. C. (2003). Beyond the glass ceiling: the maternal wall as a barrier to gender equality. T. Jefferson L. Rev. 26 1–14. [ Google Scholar ]
• Willness C. R., Steel P., Lee K. (2007). A meta-analysis of the antecedents and consequences of workplace sexual harassment. Pers. Psychol. 60 127–162. 10.1111/j.1744-6570.2007.00067.x [ CrossRef ] [ Google Scholar ]
• Word C. O., Zanna M. P., Cooper J. (1974). The nonverbal mediation of self-fulfilling prophecies in interracial interaction. J. Exp. Soc. Psychol. 10 109–120. 10.1016/0022-1031(74)90059-6 [ CrossRef ] [ Google Scholar ]
• Wright P., Ferris S. P., Hiller J. S., Kroll M. (1995). Competitiveness through management of diversity: effects on stock price valuation. Acad. Manag. J. 38 272–287. 10.2307/256736 [ CrossRef ] [ Google Scholar ]
• Wright P. M., McMahan G. C., McWilliams A. (1994). Human resources and sustained competitive advantage: a resource-based perspective. Int. J. Hum. Resour. Manag. 5 301–326. 10.1080/09585199400000020 [ CrossRef ] [ Google Scholar ]
• Wright S. C. (2001). “Strategic collective action: social psychology and social change,” in Blackwell Handbook of Social Psychology: Intergroup Processes eds Brown R., Gaertner S. (Oxford: Blackwell Publishing; ) 409–430. 10.1002/9780470693421.ch20 [ CrossRef ] [ Google Scholar ]
• Wright S. C., Lubensky M. E. (2009). “The struggle for social equality: collective action versus prejudice reduction,” in Intergroup Misunderstandings: Impact of Divergent Social Realities eds Demoulin S., Leyens J. P., Dovidio J. F. (New York, NY: Psychology Press; ) 291–310. [ Google Scholar ]

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The Enduring Grip of the Gender Pay Gap

Table of contents.

The gender pay gap – the difference between the earnings of men and women – has barely closed in the United States in the past two decades. In 2022, American women typically earned 82 cents for every dollar earned by men. That was about the same as in 2002, when they earned 80 cents to the dollar. The slow pace at which the gender pay gap has narrowed this century contrasts sharply with the progress in the preceding two decades: In 1982, women earned just 65 cents to each dollar earned by men.

There is no single explanation for why progress toward narrowing the pay gap has all but stalled in the 21st century. Women generally begin their careers closer to wage parity with men, but they lose ground as they age and progress through their work lives, a pattern that has remained consistent over time. The pay gap persists even though women today are more likely than men to have graduated from college. In fact, the pay gap between college-educated women and men is not any narrower than the one between women and men who do not have a college degree. This points to the dominant role of other factors that still set women back or give men an advantage.

One of these factors is parenthood. Mothers ages 25 to 44 are less likely to be in the labor force than women of the same age who do not have children at home, and they tend to work fewer hours each week when employed. This can reduce the earnings of some mothers, although evidence suggests the effect is either modest overall or short-lived for many. On the other hand, fathers are more likely to be in the labor force – and to work more hours each week – than men without children at home. This is linked to an increase in the pay of fathers – a phenomenon referred to as the “ fatherhood wage premium ” – and tends to widen the gender pay gap.

Related: Gender pay gap in U.S. hasn’t changed much in two decades

Family needs can also influence the types of jobs women and men pursue , contributing to gender segregation across occupations. Differential treatment of women, including gender stereotypes and discrimination , may also play a role. And the gender wage gap varies widely by race and ethnicity.

Pew Research Center conducted this study to better understand how women’s pay compared with men’s pay in the U.S. in the economic aftermath of the COVID-19 outbreak .

The study is based on the analysis of monthly Current Population Survey (CPS) data from January 1982 to December 2022 monthly files ( IPUMS ). The CPS is the U.S. government’s official source for monthly estimates of unemployment . For a quarter of the sample each month, the CPS also records data on usual hourly earnings for hourly workers and usual weekly earnings and hours worked for other workers. In this report, monthly CPS files were combined to create annual files to boost sample sizes and to analyze the gender pay gap in greater detail.

The comparison between women’s and men’s pay is based on their median hourly earnings. For workers who are not hourly workers, hourly earnings were computed as the ratio of usual weekly earnings to usual weekly hours worked. The samples include employed workers ages 16 and older with positive earnings, working full time or part time, including those for whom earnings were imputed by the Census Bureau . Self-employed workers are excluded because their earnings are not recorded in the CPS.

The COVID-19 outbreak affected data collection efforts by the U.S. government in its surveys, especially in 2020 and 2021, limiting in-person data collection and affecting the response rate. It is possible that some measures of economic outcomes and how they vary across demographic groups are affected by these changes in data collection.

“Mothers” and “fathers” refer to women and men 16 and older who have an own child younger than 18 living in the household.

The U.S. labor force, used interchangeably with the workforce in this analysis, consists of people 16 and older who are either employed or actively looking for work.

White, Black and Asian workers include those who report being only one race and who are not Hispanic. Hispanics are of any race. Asian workers include Pacific Islanders. Other racial and ethnic groups are included in all totals but are not shown separately.

“High school graduate” refers to those who have a high school diploma or its equivalent, such as a General Education Development (GED) certificate, and those who had completed 12th grade, but their diploma status was unclear (those who had finished 12th grade but not received a diploma are excluded). “Some college” include workers with an associate degree and those who attended college but did not obtain a degree.

How the gender pay gap increases with age

Younger women – those ages 25 to 34 and early in their work lives – have edged closer to wage parity with men in recent years. Starting in 2007, their earnings have consistently stood at about 90 cents to the dollar or more compared with men of the same age. But even as pay parity might appear in reach for women at the start of their careers, the wage gap tends to increase as they age.

Consider, for example, women who were ages 25 to 34 in 2010. In that year, they earned 92% as much as men their age, compared with 83% for women overall. But by 2022, this group of women, now ages 37 to 46, earned only 84% as much as men of the same age. This pattern repeats itself for groups of women who were ages 25 to 34 in earlier years – say, 2005 or 2000 – and it may well be the future for women entering the workforce now.

A good share of the increase in the gender pay gap takes place when women are between the ages of 35 and 44. In 2022, women ages 25 to 34 earned about 92% as much as men of the same ages, but women ages 35 to 44 and 45 to 54 earned 83% as much. The ratio dropped to 79% among those ages 55 to 64. This general pattern has not changed in at least four decades.

The increase in the pay gap coincides with the age at which women are more likely to have children under 18 at home. In 2022, 40% of employed women ages 25 to 34 had at least one child at home. The same was true for 66% of women ages 35 to 44 but for fewer – 39% – among women ages 45 to 54. Only 6% of employed women ages 55 to 64 had children at home in 2022.

Similarly, the share of employed men with children at home peaks between the ages of 35 to 44, standing at 58% in 2022. This is also when fathers tend to receive higher pay, even as the pay of employed mothers in same age group is unaffected.

Mothers with children at home tend to be less engaged with the workplace, while fathers are more active

Parenthood leads some women to put their careers on hold, whether by choice or necessity, but it has the opposite effect among men. In 2022, 70% of mothers ages 25 to 34 had a job or were looking for one, compared with 84% of women of the same age without children at home. This amounted to the withdrawal of 1.4 million younger mothers from the workforce. Moreover, when they are employed, younger mothers tend to put in a shorter workweek – by two hours per week, on average – than other women their age. Reduced engagement with the workplace among younger mothers is also a long-running phenomenon.

Fathers, however, are more likely to hold a job or be looking for one than men who don’t have children at home, and this is true throughout the prime of their working years , from ages 25 to 54. Among those who do have a job, fathers also work a bit more each week, on average, than men who do not have children at home.

As a result, the gender gap in workplace activity is greater among those who have children at home than among those who do not. For example, among those ages 35 to 44, 94% of fathers are active in the workforce, compared with 75% of mothers – a gap of 19 percentage points. But among those with no children at home in this age group, 84% of men and 78% of women are active in the workforce – a gap of 6 points.

These patterns contribute to the gap in workplace activity between men and women overall. As of 2022, 68% of men ages 16 and older – with or without children at home – are either employed or seeking employment. That compares with 57% of women, a difference of 11 percentage points. This gap was as wide as 24 points in 1982, but it narrowed to 14 points by 2002. Men overall also worked about three hours more per week at a job than women in 2022, on average, down from a gap of about six hours per week in 1982.

Employed mothers earn about the same as similarly educated women without children at home; both groups earn less than fathers

Parenthood affects the hourly earnings of employed women and men in unexpected ways. While employed mothers overall appear to earn less than employed women without children at home, the gap is driven mainly by differences in educational attainment between the two groups. Among women with similar levels of education, there is little gap in the earnings of mothers and non-mothers. However, fathers earn more than other workers, including other men without children at home, regardless of education level. This phenomenon – known as the fatherhood wage premium – is one of the main ways that parenthood affects the gender pay gap among employed workers.

Among employed men and women, the impact of parenting is felt most among those ages 25 to 54, when they are most likely to have children under 18 at home. In 2022, mothers ages 25 to 34 earned 85% as much as fathers that age, but women without children at home earned 97% as much as fathers. In contrast, employed women ages 35 to 44 – with or without children – both earned about 80% as much as fathers. The table turns for women ages 45 to 54, with mothers earning more than women with no children at home. Among those ages 35 to 44 or 45 to 54, men without children earned only 84% as much as fathers.

When the earnings of mothers are compared with those of women without children at home who have the same level of education, the differences either narrow or go away. Among employed women ages 25 to 34 with at least a bachelor’s degree, both mothers and women without children at home earned 80% as much as fathers in 2022. Among women ages 25 to 34 with a high school diploma and no further education, mothers earned 79% as much as fathers and women with no children at home earned 84% as much. The narrowing of the gap in earnings of mothers and women without children at home after controlling for education level also extends to other age groups.

Thus, among the employed, the effect of parenthood on the gender pay gap does not seem to be driven by a decrease in mothers’ earnings relative to women without children at home. Instead, the widening of the pay gap with parenthood appears to be driven more by an increase in the earnings of fathers. Fathers ages 25 to 54 not only earn more than mothers the same age, they also earn more than men with no children at home. Nonetheless, men without children at home still earn more than women with or without children at home.

Although there is little gap in the earnings of employed mothers and women with no children at home who have the same level of education, there is a lingering gap in workplace engagement between the two groups. Whether they had at least a bachelor’s degree or were high school graduates, mothers ages 25 to 34 are less likely to hold a job or be looking for one. Similarly, younger mothers on average work fewer hours than women without children at home each week, regardless of their education level. The opposite is true for fathers compared with men without children at home.

Progress in closing the gender pay gap has slowed despite gains in women’s education

The share of women with at least a bachelor’s degree has increased steadily since 1982 – and faster than among men. In 1982, 20% of employed women ages 25 and older had a bachelor’s degree or higher level of education, compared with 26% of employed men. By 2022, 48% of employed women had at least a bachelor’s degree, compared with 41% of men. Still, women did not see the pay gap close to the same extent from 2002 to 2022 as they did from 1982 to 2002.

In part, this may be linked to how the gains from going to college have changed in recent decades, for women and men alike. The college wage premium – the boost in earnings workers get from a college degree – increased rapidly during the 1980s. But the rise in the premium slowed down over time and came to a halt around 2010. This likely reduced the relative growth in the earnings of women.

Although gains in education have raised the average earnings of women and have narrowed the gender pay gap overall, college-educated women are no closer to wage parity with their male counterparts than other women. In 2022, women with at least a bachelor’s degree earned 79% as much as men who were college graduates, and women who were high school graduates earned 81% as much as men with the same level of education. This underscores the challenges faced by women of all education levels in closing the pay gap.

Notably, the gender wage gap has closed more among workers without a four-year college degree than among those who do have a bachelor’s degree or more education. For example, the wage gap for women without a high school diploma narrowed from 62% in 1982 to 83% in 2022 relative to men at the same education level. But it closed only from 69% to 79% among bachelor’s degree holders over the same period. This is because only men with at least a bachelor’s degree experienced positive wage growth from 1982 to 2022; all other men saw their real wages decrease. Meanwhile, the real earnings of women increased regardless of their level of education.

As women have improved their level of education in recent decades, they’ve also increased their share of employment in higher-paying occupations, such as managerial, business and finance, legal, and computer, science and engineering (STEM) occupations. In 1982, women accounted for only 26% of employment in managerial occupations. By 2022, their share had risen to 40%. Women also substantially increased their presence in social, arts and media occupations. Over the same period, the shares of women in several lower-paying fields, such as administrative support jobs and food preparation and serving occupations, fell significantly.

Even so, women are still underrepresented in managerial and STEM occupations – along with construction, repair and production, and transportation occupations – when compared with their share of employment overall. And there has been virtually no change in the degree to which women are over represented in education, health care, and personal care and services occupations – the last of which are lower paying than the average across all occupations. The distribution of women and men across occupations remains one of the drivers of the gender pay gap . But the degree to which this distribution is the result of personal choices or gender stereotypes is not entirely clear.

Gender pay gap differs widely by race and ethnicity

Looking across racial and ethnic groups, a wide gulf separates the earnings of Black and Hispanic women from the earnings of White men. 3 In 2022, Black women earned 70% as much as White men and Hispanic women earned only 65% as much. The ratio for White women stood at 83%, about the same as the earnings gap overall, while Asian women were closer to parity with White men, making 93% as much.

The pay gap narrowed for all groups of women from 1982 to 2022, but more so for White women than for Black and Hispanic women. The earnings gap for Asian women narrowed by about 17 percentage points from 2002 to 2022, but data for this group is not available for 1982.

To some extent, the gender wage gap varies by race and ethnicity because of differences in education, experience, occupation and other factors that drive the gender wage gap for women overall. But researchers have uncovered new evidence of hiring discrimination against various racial and ethnic groups, along with discrimination against other groups, such as LGBTQ and disabled workers. Discrimination in hiring may feed into differences in earnings by shutting out workers from opportunities.

Broader economic forces may impact men’s and women’s earnings in different ways

Changes in the gender pay gap are also shaped by economic factors that sometimes drive men’s and women’s earnings in distinctive ways. Because men and women tend to work in different types of jobs and industries, their earnings may respond differently to external pressures.

More specifically, men’s earnings essentially didn’t change from 1982 to 2002. Potential reasons for that include a more rapid decline in union membership among men, a shift away from jobs calling for more physical skills, and global competition that sharply reduced employment in manufacturing in the 1980s. At the same time, women’s earnings increased substantially as they raised their level of education and shifted toward higher-paying occupations.

But in some ways, the economic climate has proved less favorable for women this century. For reasons that are not entirely clear, women’s employment was slower to recover from the Great Recession of 2007-2009. More recently, the COVID-19 recession took on the moniker “ she-cession ” because of the pressure on jobs disproportionately held by women . Amid a broader slowdown in earnings growth from 2000 to 2015, the increase in women’s earnings from 2002 to 2022 was not much greater than the increase in men’s earnings, limiting the closure in the gender pay gap over the period.

What’s next for the gender pay gap?

Higher education, a shift to higher-paying occupations and more labor market experience have helped women narrow the gender pay gap since 1982. But even as women have continued to outpace men in educational attainment, the pay gap has been stuck in a holding pattern since 2002, ranging from 80 to 85 cents to the dollar.

More sustained progress in closing the pay gap may depend on deeper changes in societal and cultural norms and in workplace flexibility that affect how men and women balance their careers and family lives . Even in countries that have taken the lead in implementing family-friendly policies, such as Denmark, parenthood continues to drive a significant wedge in the earnings of men and women. New research suggests that family-friendly policies in the U.S. may be keeping the pay gap from closing. Gender stereotypes and discrimination, though difficult to quantify, also appear to be among the “last-mile” hurdles impeding further progress.

What is the gender wage gap in your metropolitan area? Find out with our pay gap calculator

• It is also worth noting that even if the hourly earnings of mothers are not affected, their weekly or annual pay is reduced in line with the reduction in the hours worked. ↩
• In part, this is because the age of women at first birth varies by educational attainment . Motherhood among women with a bachelor’s degree or higher level of education occurs at an older age than among women without a bachelor’s degree. ↩
• Although Asian men earned about 24% more than White men at the median in 2022, comparisons in this section are drawn with reference to White men. In 2022, White men accounted for about one-third of total employment in the U.S., compared with about 3% for Asian men. ↩

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About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts .

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Here’s How Bad Workplace Gender Bias Has Become

Gender bias continues to sprout in the workplace—both in explicit and covert ways.

A new survey of over 1,000 women by The Muse job board revealed that 41 percent of women have felt discriminated against based on their gender during a job interview, and 42 percent said they have encountered gender-biased or inappropriate questions during a job interview.

The report also showed that:

• Over 1 in 3 (38 percent) of women have hesitated to apply for a job due to perceived gender bias.
• 2 out of 3 think women in their industry have a hard time getting promoted.
• 55 percent do not feel there’s enough female representation in the leadership at their organization.
• 79 percent of women said they are more likely to seek out companies that have equal representation of women in managerial/leadership positions when looking for a new job.

While the findings are troubling, 63 percent of respondents did say they felt supported as a woman at work.

“We have made incredible progress over the past few years toward increasing gender equity in the workplace, but as the results of this survey reveal, there’s still so much more progress needed—particularly in the hiring and job interview process,” said Heather Tenuto, CEO of The Muse.

SHRM Online collected additional news on gender bias in the workplace.

New Report Finds 30 Different Biases Impact Women at Work

Gender bias and discrimination have held women back in the workplace for generations, but new research indicates gender-based judgments barely scratch the surface of ways professional women are criticized throughout their careers. Researchers identified 30 characteristics that women say were used against them in the workplace, including age, attractiveness and body size.

Gender Discrimination in Tech Industry Worsening

A 2023 report by tech career marketplace Dice revealed the percentage of tech professionals who said they experienced gender discrimination rose from 21 percent in 2021 to 26 percent in 2022.

To reduce discrimination, HR professionals should consider incorporating procedures to assess hiring processes and salaries, asking for feedback from the workforce via surveys and enlisting a third-party consultant to further identify opportunities for improvement.

( SHRM Online )

The Groups Hit Hardest by the Gender Pay Gap

While progress has been made toward eliminating the gender pay gap, some groups of women fare worse than others, according to an annual report. Overall, women in the U.S. earn 83 cents for every dollar a man earns. But women of color, mothers, women working remotely and women leaders are earning less than that. Here’s how employers can contribute to a more equitable workplace and keep their top female talent.

5 Ways to Reduce Gender Inequality at Work

​Research has shown that societal biases toward women have contributed to gender salary disparities in the U.S. Generation Z women have lower pay expectations than men have when entering the workforce, according to a recent report by career app Handshake. Handshake researchers explained that the difference in pay expectations “highlights the long-standing issue of gender pay disparity: Women's salary expectations are lower from the start, potentially reflecting historical pay gaps.”

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