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Designing Research Proposal in Quantitative Approach

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• Md. Rezaul Karim 4  

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This chapter provides a comprehensive guideline for writing a research proposal in quantitative approach. It starts with the definition and purpose of writing a research proposal followed by a description of essential parts of a research proposal and subjects included in each part, organization of a research proposal, and guidelines for writing different parts of a research proposal including practical considerations and aims of a proposal that facilitate the acceptance of the proposal. Finally, an example of a quantitative research proposal has been presented. It is expected that research students and other interested researchers will be able to write their research proposal(s) using the guidelines presented in the chapter.

• Research proposal
• Quantitative research approach
• Problem statement
• Literature review
• Research methodology
• Research design

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http://libguides.usc.edu/writingguide/researchproposal .

University of Michigan. Research and Sponsored Projects. http://orsp.umich.edu/proposal-writers-guide-research-proposals-title-page .

Pajares, F. (n.d). The Elements of a Proposal. Emory University.

Wong, P.T. P. http://www.meaning.ca/archives/archive/art_how_to_write_P_Wong.htm .

https://www.scribd.com/document/40384531/Research-Proposal-1 .

Institute of International Studies. Dissertation Proposal Workshop, UC Berkeley, http://iis.berkeley.edu/node/424 .

For details of CSC see CARE Malawi. “The Community Score Card (CSC): A generic guide for implementing CARE’s CSC process to improve quality of services.” Cooperative for Assistance and Relief Everywhere, Inc., 2013. http://www.care.org/sites/default/files/documents/FP-2013-CARE_CommunityScoreCardToolkit.pdf

Institute of International Studies . Dissertation Proposal Workshop, UC Berkeley, http://iis.berkeley.edu/node/424 .

Bangladesh Bureau of Educational Information and Statistics

https://www.dhakatribune.com/uncategorized/2015/12/31/psc-pass-rate-98-52-ebtedayee-95-13 .

https://bdnews24.com/bangladesh/2018/12/24/jsc-jdc-pass-rate-85.83-gpa-5.0-rate-drops-sharply .

Arboleda, C. R. (1981). Communication research . Communication Foundation for Asia.

Google Scholar  

Babbie, E. R. (2010). The practice of social research (12th ed.). Wadsworth Cengage.

BANBEIS (Bangladesh Bureau of Educational Information and Statistics). (2017). Bangladesh education statistics 2016. Bangladesh Bureau of Educational Information and Statistics (BANBEIS).

Borbasi, S., & Jackson, D. (2012). Navigating the maze of research . Mosby Elsevier.

Burns, N., Grove, S. K. (2009). The practice of nursing research: Appraisal, synthesis and generation of evidence. Saunders Elsevier.

Creswell, J. W. (1994). Research design: Qualitative & quantitative approaches . SAGE Publications.

Hasnat, M. A. (2017). School enrollment high but dropouts even higher. Dhaka Tribune September 8, 2017. https://www.Dhakatribune.com/Bangladesh/education/2017/09/08/school-enrollment-high-dropouts-even-higher .

Institute of International Studies. (n.d). Dissertation proposal workshop. Institute of International Studies. http://iis.berkeley.edu/node/424 .

Pajares, F. (n.d). The elements of a proposal. Emory University. Retrieved from http://www.uky.edu/~eushe2/Pajares/ElementsOfaProposal.pdf .

Przeworski, A., & Frank, S. (1995). On the art of writing proposals: some candid suggestions for applicants to social science research council competitions. Social Science Research Council. Retrieved from http://iis.berkeley.edu/sites/default/files/pdf/the_art_of_writing_proposals.pdf .

University of Michigan. (n.d). Research and sponsored projects. http://orsp.umich.edu/proposal-writers-guide-research-proposals-title-page .

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Karim, M.R. (2022). Designing Research Proposal in Quantitative Approach. In: Islam, M.R., Khan, N.A., Baikady, R. (eds) Principles of Social Research Methodology. Springer, Singapore. https://doi.org/10.1007/978-981-19-5441-2_10

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Quantitative methods emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational techniques . Quantitative research focuses on gathering numerical data and generalizing it across groups of people or to explain a particular phenomenon.

Babbie, Earl R. The Practice of Social Research . 12th ed. Belmont, CA: Wadsworth Cengage, 2010; Muijs, Daniel. Doing Quantitative Research in Education with SPSS . 2nd edition. London: SAGE Publications, 2010.

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Characteristics of Quantitative Research

Your goal in conducting quantitative research study is to determine the relationship between one thing [an independent variable] and another [a dependent or outcome variable] within a population. Quantitative research designs are either descriptive [subjects usually measured once] or experimental [subjects measured before and after a treatment]. A descriptive study establishes only associations between variables; an experimental study establishes causality.

Quantitative research deals in numbers, logic, and an objective stance. Quantitative research focuses on numeric and unchanging data and detailed, convergent reasoning rather than divergent reasoning [i.e., the generation of a variety of ideas about a research problem in a spontaneous, free-flowing manner].

Its main characteristics are :

• The data is usually gathered using structured research instruments.
• The results are based on larger sample sizes that are representative of the population.
• The research study can usually be replicated or repeated, given its high reliability.
• Researcher has a clearly defined research question to which objective answers are sought.
• All aspects of the study are carefully designed before data is collected.
• Data are in the form of numbers and statistics, often arranged in tables, charts, figures, or other non-textual forms.
• Project can be used to generalize concepts more widely, predict future results, or investigate causal relationships.
• Researcher uses tools, such as questionnaires or computer software, to collect numerical data.

The overarching aim of a quantitative research study is to classify features, count them, and construct statistical models in an attempt to explain what is observed.

  Things to keep in mind when reporting the results of a study using quantitative methods :

• Explain the data collected and their statistical treatment as well as all relevant results in relation to the research problem you are investigating. Interpretation of results is not appropriate in this section.
• Report unanticipated events that occurred during your data collection. Explain how the actual analysis differs from the planned analysis. Explain your handling of missing data and why any missing data does not undermine the validity of your analysis.
• Explain the techniques you used to "clean" your data set.
• Choose a minimally sufficient statistical procedure ; provide a rationale for its use and a reference for it. Specify any computer programs used.
• Describe the assumptions for each procedure and the steps you took to ensure that they were not violated.
• When using inferential statistics , provide the descriptive statistics, confidence intervals, and sample sizes for each variable as well as the value of the test statistic, its direction, the degrees of freedom, and the significance level [report the actual p value].
• Avoid inferring causality , particularly in nonrandomized designs or without further experimentation.
• Use tables to provide exact values ; use figures to convey global effects. Keep figures small in size; include graphic representations of confidence intervals whenever possible.
• Always tell the reader what to look for in tables and figures .

NOTE:   When using pre-existing statistical data gathered and made available by anyone other than yourself [e.g., government agency], you still must report on the methods that were used to gather the data and describe any missing data that exists and, if there is any, provide a clear explanation why the missing data does not undermine the validity of your final analysis.

Babbie, Earl R. The Practice of Social Research . 12th ed. Belmont, CA: Wadsworth Cengage, 2010; Brians, Craig Leonard et al. Empirical Political Analysis: Quantitative and Qualitative Research Methods . 8th ed. Boston, MA: Longman, 2011; McNabb, David E. Research Methods in Public Administration and Nonprofit Management: Quantitative and Qualitative Approaches . 2nd ed. Armonk, NY: M.E. Sharpe, 2008; Quantitative Research Methods. Writing@CSU. Colorado State University; Singh, Kultar. Quantitative Social Research Methods . Los Angeles, CA: Sage, 2007.

Basic Research Design for Quantitative Studies

Before designing a quantitative research study, you must decide whether it will be descriptive or experimental because this will dictate how you gather, analyze, and interpret the results. A descriptive study is governed by the following rules: subjects are generally measured once; the intention is to only establish associations between variables; and, the study may include a sample population of hundreds or thousands of subjects to ensure that a valid estimate of a generalized relationship between variables has been obtained. An experimental design includes subjects measured before and after a particular treatment, the sample population may be very small and purposefully chosen, and it is intended to establish causality between variables. Introduction The introduction to a quantitative study is usually written in the present tense and from the third person point of view. It covers the following information:

• Identifies the research problem -- as with any academic study, you must state clearly and concisely the research problem being investigated.
• Reviews the literature -- review scholarship on the topic, synthesizing key themes and, if necessary, noting studies that have used similar methods of inquiry and analysis. Note where key gaps exist and how your study helps to fill these gaps or clarifies existing knowledge.
• Describes the theoretical framework -- provide an outline of the theory or hypothesis underpinning your study. If necessary, define unfamiliar or complex terms, concepts, or ideas and provide the appropriate background information to place the research problem in proper context [e.g., historical, cultural, economic, etc.].

Methodology The methods section of a quantitative study should describe how each objective of your study will be achieved. Be sure to provide enough detail to enable the reader can make an informed assessment of the methods being used to obtain results associated with the research problem. The methods section should be presented in the past tense.

• Study population and sampling -- where did the data come from; how robust is it; note where gaps exist or what was excluded. Note the procedures used for their selection;
• Data collection – describe the tools and methods used to collect information and identify the variables being measured; describe the methods used to obtain the data; and, note if the data was pre-existing [i.e., government data] or you gathered it yourself. If you gathered it yourself, describe what type of instrument you used and why. Note that no data set is perfect--describe any limitations in methods of gathering data.
• Data analysis -- describe the procedures for processing and analyzing the data. If appropriate, describe the specific instruments of analysis used to study each research objective, including mathematical techniques and the type of computer software used to manipulate the data.

Results The finding of your study should be written objectively and in a succinct and precise format. In quantitative studies, it is common to use graphs, tables, charts, and other non-textual elements to help the reader understand the data. Make sure that non-textual elements do not stand in isolation from the text but are being used to supplement the overall description of the results and to help clarify key points being made. Further information about how to effectively present data using charts and graphs can be found here .

• Statistical analysis -- how did you analyze the data? What were the key findings from the data? The findings should be present in a logical, sequential order. Describe but do not interpret these trends or negative results; save that for the discussion section. The results should be presented in the past tense.

Discussion Discussions should be analytic, logical, and comprehensive. The discussion should meld together your findings in relation to those identified in the literature review, and placed within the context of the theoretical framework underpinning the study. The discussion should be presented in the present tense.

• Interpretation of results -- reiterate the research problem being investigated and compare and contrast the findings with the research questions underlying the study. Did they affirm predicted outcomes or did the data refute it?
• Description of trends, comparison of groups, or relationships among variables -- describe any trends that emerged from your analysis and explain all unanticipated and statistical insignificant findings.
• Discussion of implications – what is the meaning of your results? Highlight key findings based on the overall results and note findings that you believe are important. How have the results helped fill gaps in understanding the research problem?
• Limitations -- describe any limitations or unavoidable bias in your study and, if necessary, note why these limitations did not inhibit effective interpretation of the results.

Conclusion End your study by to summarizing the topic and provide a final comment and assessment of the study.

• Summary of findings – synthesize the answers to your research questions. Do not report any statistical data here; just provide a narrative summary of the key findings and describe what was learned that you did not know before conducting the study.
• Recommendations – if appropriate to the aim of the assignment, tie key findings with policy recommendations or actions to be taken in practice.
• Future research – note the need for future research linked to your study’s limitations or to any remaining gaps in the literature that were not addressed in your study.

Black, Thomas R. Doing Quantitative Research in the Social Sciences: An Integrated Approach to Research Design, Measurement and Statistics . London: Sage, 1999; Gay,L. R. and Peter Airasain. Educational Research: Competencies for Analysis and Applications . 7th edition. Upper Saddle River, NJ: Merril Prentice Hall, 2003; Hector, Anestine. An Overview of Quantitative Research in Composition and TESOL . Department of English, Indiana University of Pennsylvania; Hopkins, Will G. “Quantitative Research Design.” Sportscience 4, 1 (2000); "A Strategy for Writing Up Research Results. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper." Department of Biology. Bates College; Nenty, H. Johnson. "Writing a Quantitative Research Thesis." International Journal of Educational Science 1 (2009): 19-32; Ouyang, Ronghua (John). Basic Inquiry of Quantitative Research . Kennesaw State University.

Strengths of Using Quantitative Methods

Quantitative researchers try to recognize and isolate specific variables contained within the study framework, seek correlation, relationships and causality, and attempt to control the environment in which the data is collected to avoid the risk of variables, other than the one being studied, accounting for the relationships identified.

Among the specific strengths of using quantitative methods to study social science research problems:

• Allows for a broader study, involving a greater number of subjects, and enhancing the generalization of the results;
• Allows for greater objectivity and accuracy of results. Generally, quantitative methods are designed to provide summaries of data that support generalizations about the phenomenon under study. In order to accomplish this, quantitative research usually involves few variables and many cases, and employs prescribed procedures to ensure validity and reliability;
• Applying well established standards means that the research can be replicated, and then analyzed and compared with similar studies;
• You can summarize vast sources of information and make comparisons across categories and over time; and,
• Personal bias can be avoided by keeping a 'distance' from participating subjects and using accepted computational techniques .

Babbie, Earl R. The Practice of Social Research . 12th ed. Belmont, CA: Wadsworth Cengage, 2010; Brians, Craig Leonard et al. Empirical Political Analysis: Quantitative and Qualitative Research Methods . 8th ed. Boston, MA: Longman, 2011; McNabb, David E. Research Methods in Public Administration and Nonprofit Management: Quantitative and Qualitative Approaches . 2nd ed. Armonk, NY: M.E. Sharpe, 2008; Singh, Kultar. Quantitative Social Research Methods . Los Angeles, CA: Sage, 2007.

Limitations of Using Quantitative Methods

Quantitative methods presume to have an objective approach to studying research problems, where data is controlled and measured, to address the accumulation of facts, and to determine the causes of behavior. As a consequence, the results of quantitative research may be statistically significant but are often humanly insignificant.

Some specific limitations associated with using quantitative methods to study research problems in the social sciences include:

• Quantitative data is more efficient and able to test hypotheses, but may miss contextual detail;
• Uses a static and rigid approach and so employs an inflexible process of discovery;
• The development of standard questions by researchers can lead to "structural bias" and false representation, where the data actually reflects the view of the researcher instead of the participating subject;
• Results provide less detail on behavior, attitudes, and motivation;
• Researcher may collect a much narrower and sometimes superficial dataset;
• Results are limited as they provide numerical descriptions rather than detailed narrative and generally provide less elaborate accounts of human perception;
• The research is often carried out in an unnatural, artificial environment so that a level of control can be applied to the exercise. This level of control might not normally be in place in the real world thus yielding "laboratory results" as opposed to "real world results"; and,
• Preset answers will not necessarily reflect how people really feel about a subject and, in some cases, might just be the closest match to the preconceived hypothesis.

Research Tip

Finding Examples of How to Apply Different Types of Research Methods

SAGE publications is a major publisher of studies about how to design and conduct research in the social and behavioral sciences. Their SAGE Research Methods Online and Cases database includes contents from books, articles, encyclopedias, handbooks, and videos covering social science research design and methods including the complete Little Green Book Series of Quantitative Applications in the Social Sciences and the Little Blue Book Series of Qualitative Research techniques. The database also includes case studies outlining the research methods used in real research projects. This is an excellent source for finding definitions of key terms and descriptions of research design and practice, techniques of data gathering, analysis, and reporting, and information about theories of research [e.g., grounded theory]. The database covers both qualitative and quantitative research methods as well as mixed methods approaches to conducting research.

SAGE Research Methods Online and Cases

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Research Design: Qualitative, Quantitative, and Mixed Methods Approaches

Student resources, research proposal tools and sample student proposals.

Sample research proposals written by doctoral students in each of the key areas covered in Research Design --quantitative, qualitative, and mixed methods—are provided as a useful reference. A Research Proposal checklist also serves to help guide your own proposal-writing.

›   Morales Proposal_Qualitative Study

›   Kottich Proposal_Quantitative Study

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›   Research Proposal Checklist  

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• How to Write a Research Proposal | Examples & Templates

How to Write a Research Proposal | Examples & Templates

Published on 30 October 2022 by Shona McCombes and Tegan George. Revised on 13 June 2023.

A research proposal describes what you will investigate, why it’s important, and how you will conduct your research.

The format of a research proposal varies between fields, but most proposals will contain at least these elements:

Introduction

Literature review.

• Research design

Reference list

While the sections may vary, the overall objective is always the same. A research proposal serves as a blueprint and guide for your research plan, helping you get organised and feel confident in the path forward you choose to take.

Table of contents

Research proposal purpose, research proposal examples, research design and methods, contribution to knowledge, research schedule, frequently asked questions.

Academics often have to write research proposals to get funding for their projects. As a student, you might have to write a research proposal as part of a grad school application , or prior to starting your thesis or dissertation .

In addition to helping you figure out what your research can look like, a proposal can also serve to demonstrate why your project is worth pursuing to a funder, educational institution, or supervisor.

Research proposal length

The length of a research proposal can vary quite a bit. A bachelor’s or master’s thesis proposal can be just a few pages, while proposals for PhD dissertations or research funding are usually much longer and more detailed. Your supervisor can help you determine the best length for your work.

One trick to get started is to think of your proposal’s structure as a shorter version of your thesis or dissertation , only without the results , conclusion and discussion sections.

Download our research proposal template

Prevent plagiarism, run a free check.

Writing a research proposal can be quite challenging, but a good starting point could be to look at some examples. We’ve included a few for you below.

• Example research proposal #1: ‘A Conceptual Framework for Scheduling Constraint Management’
• Example research proposal #2: ‘ Medical Students as Mediators of Change in Tobacco Use’

Like your dissertation or thesis, the proposal will usually have a title page that includes:

• The proposed title of your project
• Your supervisor’s name
• Your institution and department

The first part of your proposal is the initial pitch for your project. Make sure it succinctly explains what you want to do and why.

Your introduction should:

• Introduce your topic
• Give necessary background and context
• Outline your  problem statement  and research questions

To guide your introduction , include information about:

• Who could have an interest in the topic (e.g., scientists, policymakers)
• How much is already known about the topic
• What is missing from this current knowledge
• What new insights your research will contribute
• Why you believe this research is worth doing

As you get started, it’s important to demonstrate that you’re familiar with the most important research on your topic. A strong literature review  shows your reader that your project has a solid foundation in existing knowledge or theory. It also shows that you’re not simply repeating what other people have already done or said, but rather using existing research as a jumping-off point for your own.

In this section, share exactly how your project will contribute to ongoing conversations in the field by:

• Comparing and contrasting the main theories, methods, and debates
• Examining the strengths and weaknesses of different approaches
• Explaining how will you build on, challenge, or synthesise prior scholarship

Following the literature review, restate your main  objectives . This brings the focus back to your own project. Next, your research design or methodology section will describe your overall approach, and the practical steps you will take to answer your research questions.

To finish your proposal on a strong note, explore the potential implications of your research for your field. Emphasise again what you aim to contribute and why it matters.

For example, your results might have implications for:

• Improving best practices
• Informing policymaking decisions
• Strengthening a theory or model
• Challenging popular or scientific beliefs
• Creating a basis for future research

Last but not least, your research proposal must include correct citations for every source you have used, compiled in a reference list . To create citations quickly and easily, you can use our free APA citation generator .

Some institutions or funders require a detailed timeline of the project, asking you to forecast what you will do at each stage and how long it may take. While not always required, be sure to check the requirements of your project.

Here’s an example schedule to help you get started. You can also download a template at the button below.

Download our research schedule template

If you are applying for research funding, chances are you will have to include a detailed budget. This shows your estimates of how much each part of your project will cost.

Make sure to check what type of costs the funding body will agree to cover. For each item, include:

• Cost : exactly how much money do you need?
• Justification : why is this cost necessary to complete the research?
• Source : how did you calculate the amount?

To determine your budget, think about:

• Travel costs : do you need to go somewhere to collect your data? How will you get there, and how much time will you need? What will you do there (e.g., interviews, archival research)?
• Materials : do you need access to any tools or technologies?
• Help : do you need to hire any research assistants for the project? What will they do, and how much will you pay them?

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement.

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.

Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.

A PhD, which is short for philosophiae doctor (doctor of philosophy in Latin), is the highest university degree that can be obtained. In a PhD, students spend 3–5 years writing a dissertation , which aims to make a significant, original contribution to current knowledge.

A PhD is intended to prepare students for a career as a researcher, whether that be in academia, the public sector, or the private sector.

A master’s is a 1- or 2-year graduate degree that can prepare you for a variety of careers.

All master’s involve graduate-level coursework. Some are research-intensive and intend to prepare students for further study in a PhD; these usually require their students to write a master’s thesis . Others focus on professional training for a specific career.

Critical thinking refers to the ability to evaluate information and to be aware of biases or assumptions, including your own.

Like information literacy , it involves evaluating arguments, identifying and solving problems in an objective and systematic way, and clearly communicating your ideas.

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McCombes, S. & George, T. (2023, June 13). How to Write a Research Proposal | Examples & Templates. Scribbr. Retrieved 1 April 2024, from https://www.scribbr.co.uk/the-research-process/research-proposal-explained/

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Quantitative research methods

a method of research that relies on measuring variables using a numerical system, analyzing these measurements using any of a variety of statistical models, and reporting relationships and associations among the studied variables. For example, these variables may be test scores or measurements of reaction time. The goal of gathering this quantitative data is to understand, describe, and predict the nature of a phenomenon, particularly through the development of models and theories. Quantitative research techniques include experiments and surveys. 

SAGE Research Methods Videos

What are the strengths of quantitative research.

Professor Norma T. Mertz briefly discusses qualitative research and how it has changed since she entered the field. She emphasizes the importance of defining a research question before choosing a theoretical approach to research.

This is just one segment in a series about quantitative methods. You can find additional videos in our SAGE database, Research Methods: 

Videos covering research methods and statistics

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A Guide to Quantitative Research Proposals

In this essay, noted scholar Elizabeth Tipton elaborates on how to best articulate quantitative research design in grant proposals. This essay is a companion piece to our “ A Guide to Writing Successful Field Initiated Research Grant Proposals ,” which provides general information about the elements of grant writing.

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Department of Anaesthesiology, Bangalore Medical College and Research Institute, Bengaluru, Karnataka, India

Devika Rani Duggappa

Writing the proposal of a research work in the present era is a challenging task due to the constantly evolving trends in the qualitative research design and the need to incorporate medical advances into the methodology. The proposal is a detailed plan or ‘blueprint’ for the intended study, and once it is completed, the research project should flow smoothly. Even today, many of the proposals at post-graduate evaluation committees and application proposals for funding are substandard. A search was conducted with keywords such as research proposal, writing proposal and qualitative using search engines, namely, PubMed and Google Scholar, and an attempt has been made to provide broad guidelines for writing a scientifically appropriate research proposal.

INTRODUCTION

A clean, well-thought-out proposal forms the backbone for the research itself and hence becomes the most important step in the process of conduct of research.[ 1 ] The objective of preparing a research proposal would be to obtain approvals from various committees including ethics committee [details under ‘Research methodology II’ section [ Table 1 ] in this issue of IJA) and to request for grants. However, there are very few universally accepted guidelines for preparation of a good quality research proposal. A search was performed with keywords such as research proposal, funding, qualitative and writing proposals using search engines, namely, PubMed, Google Scholar and Scopus.

Five ‘C’s while writing a literature review

BASIC REQUIREMENTS OF A RESEARCH PROPOSAL

A proposal needs to show how your work fits into what is already known about the topic and what new paradigm will it add to the literature, while specifying the question that the research will answer, establishing its significance, and the implications of the answer.[ 2 ] The proposal must be capable of convincing the evaluation committee about the credibility, achievability, practicality and reproducibility (repeatability) of the research design.[ 3 ] Four categories of audience with different expectations may be present in the evaluation committees, namely academic colleagues, policy-makers, practitioners and lay audiences who evaluate the research proposal. Tips for preparation of a good research proposal include; ‘be practical, be persuasive, make broader links, aim for crystal clarity and plan before you write’. A researcher must be balanced, with a realistic understanding of what can be achieved. Being persuasive implies that researcher must be able to convince other researchers, research funding agencies, educational institutions and supervisors that the research is worth getting approval. The aim of the researcher should be clearly stated in simple language that describes the research in a way that non-specialists can comprehend, without use of jargons. The proposal must not only demonstrate that it is based on an intelligent understanding of the existing literature but also show that the writer has thought about the time needed to conduct each stage of the research.[ 4 , 5 ]

CONTENTS OF A RESEARCH PROPOSAL

The contents or formats of a research proposal vary depending on the requirements of evaluation committee and are generally provided by the evaluation committee or the institution.

In general, a cover page should contain the (i) title of the proposal, (ii) name and affiliation of the researcher (principal investigator) and co-investigators, (iii) institutional affiliation (degree of the investigator and the name of institution where the study will be performed), details of contact such as phone numbers, E-mail id's and lines for signatures of investigators.

The main contents of the proposal may be presented under the following headings: (i) introduction, (ii) review of literature, (iii) aims and objectives, (iv) research design and methods, (v) ethical considerations, (vi) budget, (vii) appendices and (viii) citations.[ 4 ]

Introduction

It is also sometimes termed as ‘need for study’ or ‘abstract’. Introduction is an initial pitch of an idea; it sets the scene and puts the research in context.[ 6 ] The introduction should be designed to create interest in the reader about the topic and proposal. It should convey to the reader, what you want to do, what necessitates the study and your passion for the topic.[ 7 ] Some questions that can be used to assess the significance of the study are: (i) Who has an interest in the domain of inquiry? (ii) What do we already know about the topic? (iii) What has not been answered adequately in previous research and practice? (iv) How will this research add to knowledge, practice and policy in this area? Some of the evaluation committees, expect the last two questions, elaborated under a separate heading of ‘background and significance’.[ 8 ] Introduction should also contain the hypothesis behind the research design. If hypothesis cannot be constructed, the line of inquiry to be used in the research must be indicated.

Review of literature

It refers to all sources of scientific evidence pertaining to the topic in interest. In the present era of digitalisation and easy accessibility, there is an enormous amount of relevant data available, making it a challenge for the researcher to include all of it in his/her review.[ 9 ] It is crucial to structure this section intelligently so that the reader can grasp the argument related to your study in relation to that of other researchers, while still demonstrating to your readers that your work is original and innovative. It is preferable to summarise each article in a paragraph, highlighting the details pertinent to the topic of interest. The progression of review can move from the more general to the more focused studies, or a historical progression can be used to develop the story, without making it exhaustive.[ 1 ] Literature should include supporting data, disagreements and controversies. Five ‘C's may be kept in mind while writing a literature review[ 10 ] [ Table 1 ].

Aims and objectives

The research purpose (or goal or aim) gives a broad indication of what the researcher wishes to achieve in the research. The hypothesis to be tested can be the aim of the study. The objectives related to parameters or tools used to achieve the aim are generally categorised as primary and secondary objectives.

Research design and method

The objective here is to convince the reader that the overall research design and methods of analysis will correctly address the research problem and to impress upon the reader that the methodology/sources chosen are appropriate for the specific topic. It should be unmistakably tied to the specific aims of your study.

In this section, the methods and sources used to conduct the research must be discussed, including specific references to sites, databases, key texts or authors that will be indispensable to the project. There should be specific mention about the methodological approaches to be undertaken to gather information, about the techniques to be used to analyse it and about the tests of external validity to which researcher is committed.[ 10 , 11 ]

The components of this section include the following:[ 4 ]

Population and sample

Population refers to all the elements (individuals, objects or substances) that meet certain criteria for inclusion in a given universe,[ 12 ] and sample refers to subset of population which meets the inclusion criteria for enrolment into the study. The inclusion and exclusion criteria should be clearly defined. The details pertaining to sample size are discussed in the article “Sample size calculation: Basic priniciples” published in this issue of IJA.

Data collection

The researcher is expected to give a detailed account of the methodology adopted for collection of data, which include the time frame required for the research. The methodology should be tested for its validity and ensure that, in pursuit of achieving the results, the participant's life is not jeopardised. The author should anticipate and acknowledge any potential barrier and pitfall in carrying out the research design and explain plans to address them, thereby avoiding lacunae due to incomplete data collection. If the researcher is planning to acquire data through interviews or questionnaires, copy of the questions used for the same should be attached as an annexure with the proposal.

Rigor (soundness of the research)

This addresses the strength of the research with respect to its neutrality, consistency and applicability. Rigor must be reflected throughout the proposal.

It refers to the robustness of a research method against bias. The author should convey the measures taken to avoid bias, viz. blinding and randomisation, in an elaborate way, thus ensuring that the result obtained from the adopted method is purely as chance and not influenced by other confounding variables.

Consistency

Consistency considers whether the findings will be consistent if the inquiry was replicated with the same participants and in a similar context. This can be achieved by adopting standard and universally accepted methods and scales.

Applicability

Applicability refers to the degree to which the findings can be applied to different contexts and groups.[ 13 ]

Data analysis

This section deals with the reduction and reconstruction of data and its analysis including sample size calculation. The researcher is expected to explain the steps adopted for coding and sorting the data obtained. Various tests to be used to analyse the data for its robustness, significance should be clearly stated. Author should also mention the names of statistician and suitable software which will be used in due course of data analysis and their contribution to data analysis and sample calculation.[ 9 ]

Ethical considerations

Medical research introduces special moral and ethical problems that are not usually encountered by other researchers during data collection, and hence, the researcher should take special care in ensuring that ethical standards are met. Ethical considerations refer to the protection of the participants' rights (right to self-determination, right to privacy, right to autonomy and confidentiality, right to fair treatment and right to protection from discomfort and harm), obtaining informed consent and the institutional review process (ethical approval). The researcher needs to provide adequate information on each of these aspects.

Informed consent needs to be obtained from the participants (details discussed in further chapters), as well as the research site and the relevant authorities.

When the researcher prepares a research budget, he/she should predict and cost all aspects of the research and then add an additional allowance for unpredictable disasters, delays and rising costs. All items in the budget should be justified.

Appendices are documents that support the proposal and application. The appendices will be specific for each proposal but documents that are usually required include informed consent form, supporting documents, questionnaires, measurement tools and patient information of the study in layman's language.

As with any scholarly research paper, you must cite the sources you used in composing your proposal. Although the words ‘references and bibliography’ are different, they are used interchangeably. It refers to all references cited in the research proposal.

Successful, qualitative research proposals should communicate the researcher's knowledge of the field and method and convey the emergent nature of the qualitative design. The proposal should follow a discernible logic from the introduction to presentation of the appendices.

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Research Proposal – Types, Template and Example

Table of Contents

Research Proposal

Research proposal is a document that outlines a proposed research project . It is typically written by researchers, scholars, or students who intend to conduct research to address a specific research question or problem.

Types of Research Proposal

Research proposals can vary depending on the nature of the research project and the specific requirements of the funding agency, academic institution, or research program. Here are some common types of research proposals:

Academic Research Proposal

This is the most common type of research proposal, which is prepared by students, scholars, or researchers to seek approval and funding for an academic research project. It includes all the essential components mentioned earlier, such as the introduction, literature review , methodology , and expected outcomes.

Grant Proposal

A grant proposal is specifically designed to secure funding from external sources, such as government agencies, foundations, or private organizations. It typically includes additional sections, such as a detailed budget, project timeline, evaluation plan, and a description of the project’s alignment with the funding agency’s priorities and objectives.

Dissertation or Thesis Proposal

Students pursuing a master’s or doctoral degree often need to submit a proposal outlining their intended research for their dissertation or thesis. These proposals are usually more extensive and comprehensive, including an in-depth literature review, theoretical framework, research questions or hypotheses, and a detailed methodology.

Research Project Proposal

This type of proposal is often prepared by researchers or research teams within an organization or institution. It outlines a specific research project that aims to address a particular problem, explore a specific area of interest, or provide insights for decision-making. Research project proposals may include sections on project management, collaboration, and dissemination of results.

Research Fellowship Proposal

Researchers or scholars applying for research fellowships may be required to submit a proposal outlining their proposed research project. These proposals often emphasize the novelty and significance of the research and its alignment with the goals and objectives of the fellowship program.

Collaborative Research Proposal

In cases where researchers from multiple institutions or disciplines collaborate on a research project, a collaborative research proposal is prepared. This proposal highlights the objectives, responsibilities, and contributions of each collaborator, as well as the overall research plan and coordination mechanisms.

Research Proposal Outline

A research proposal typically follows a standard outline that helps structure the document and ensure all essential components are included. While the specific headings and subheadings may vary slightly depending on the requirements of your institution or funding agency, the following outline provides a general structure for a research proposal:

• Title of the research proposal
• Name of the researcher(s) or principal investigator(s)
• Affiliation or institution
• Date of submission
• A concise summary of the research proposal, typically limited to 200-300 words.
• Briefly introduce the research problem or question, state the objectives, summarize the methodology, and highlight the expected outcomes or significance of the research.
• Provide an overview of the subject area and the specific research problem or question.
• Present relevant background information, theories, or concepts to establish the need for the research.
• Clearly state the research objectives or research questions that the study aims to address.
• Indicate the significance or potential contributions of the research.
• Summarize and analyze relevant studies, theories, or scholarly works.
• Identify research gaps or unresolved issues that your study intends to address.
• Highlight the novelty or uniqueness of your research.
• Describe the overall approach or research design that will be used (e.g., experimental, qualitative, quantitative).
• Justify the chosen approach based on the research objectives and question.
• Explain how data will be collected (e.g., surveys, interviews, experiments).
• Describe the sampling strategy and sample size, if applicable.
• Address any ethical considerations related to data collection.
• Outline the data analysis techniques or statistical methods that will be applied.
• Explain how the data will be interpreted and analyzed to answer the research question(s).
• Provide a detailed schedule or timeline that outlines the various stages of the research project.
• Specify the estimated duration for each stage, including data collection, analysis, and report writing.
• State the potential outcomes or results of the research.
• Discuss the potential significance or contributions of the study to the field.
• Address any potential limitations or challenges that may be encountered.
• Identify the resources required to conduct the research, such as funding, equipment, or access to data.
• Specify any collaborations or partnerships necessary for the successful completion of the study.
• Include a list of cited references in the appropriate citation style (e.g., APA, MLA).

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Research Proposal Example Template

Here’s an example of a research proposal to give you an idea of how it can be structured:

Title: The Impact of Social Media on Adolescent Well-being: A Mixed-Methods Study

This research proposal aims to investigate the impact of social media on the well-being of adolescents. The study will employ a mixed-methods approach, combining quantitative surveys and qualitative interviews to gather comprehensive data. The research objectives include examining the relationship between social media use and mental health, exploring the role of peer influence in shaping online behaviors, and identifying strategies for promoting healthy social media use among adolescents. The findings of this study will contribute to the understanding of the effects of social media on adolescent well-being and inform the development of targeted interventions.

1. Introduction

1.1 Background and Context:

Adolescents today are immersed in social media platforms, which have become integral to their daily lives. However, concerns have been raised about the potential negative impact of social media on their well-being, including increased rates of depression, anxiety, and body dissatisfaction. It is crucial to investigate this phenomenon further and understand the underlying mechanisms to develop effective strategies for promoting healthy social media use among adolescents.

1.2 Research Objectives:

The main objectives of this study are:

• To examine the association between social media use and mental health outcomes among adolescents.
• To explore the influence of peer relationships and social comparison on online behaviors.
• To identify strategies and interventions to foster positive social media use and enhance adolescent well-being.

2. Literature Review

Extensive research has been conducted on the impact of social media on adolescents. Existing literature suggests that excessive social media use can contribute to negative outcomes, such as low self-esteem, cyberbullying, and addictive behaviors. However, some studies have also highlighted the positive aspects of social media, such as providing opportunities for self-expression and social support. This study will build upon this literature by incorporating both quantitative and qualitative approaches to gain a more nuanced understanding of the relationship between social media and adolescent well-being.

3. Methodology

3.1 Research Design:

This study will adopt a mixed-methods approach, combining quantitative surveys and qualitative interviews. The quantitative phase will involve administering standardized questionnaires to a representative sample of adolescents to assess their social media use, mental health indicators, and perceived social support. The qualitative phase will include in-depth interviews with a subset of participants to explore their experiences, motivations, and perceptions related to social media use.

3.2 Data Collection Methods:

Quantitative data will be collected through an online survey distributed to schools in the target region. The survey will include validated scales to measure social media use, mental health outcomes, and perceived social support. Qualitative data will be collected through semi-structured interviews with a purposive sample of participants. The interviews will be audio-recorded and transcribed for thematic analysis.

3.3 Data Analysis:

Quantitative data will be analyzed using descriptive statistics and regression analysis to examine the relationships between variables. Qualitative data will be analyzed thematically to identify common themes and patterns within participants’ narratives. Integration of quantitative and qualitative findings will provide a comprehensive understanding of the research questions.

4. Timeline

The research project will be conducted over a period of 12 months, divided into specific phases, including literature review, study design, data collection, analysis, and report writing. A detailed timeline outlining the key milestones and activities is provided in Appendix A.

5. Expected Outcomes and Significance

This study aims to contribute to the existing literature on the impact of social media on adolescent well-being by employing a mixed-methods approach. The findings will inform the development of evidence-based interventions and guidelines to promote healthy social media use among adolescents. This research has the potential to benefit adolescents, parents, educators, and policymakers by providing insights into the complex relationship between social media and well-being and offering strategies for fostering positive online experiences.

6. Resources

The resources required for this research include access to a representative sample of adolescents, research assistants for data collection, statistical software for data analysis, and funding to cover survey administration and participant incentives. Ethical considerations will be taken into account, ensuring participant confidentiality and obtaining informed consent.

7. References

Research Proposal Writing Guide

Writing a research proposal can be a complex task, but with proper guidance and organization, you can create a compelling and well-structured proposal. Here’s a step-by-step guide to help you through the process:

• Understand the requirements: Familiarize yourself with the guidelines and requirements provided by your institution, funding agency, or program. Pay attention to formatting, page limits, specific sections or headings, and any other instructions.
• Identify your research topic: Choose a research topic that aligns with your interests, expertise, and the goals of your program or funding opportunity. Ensure that your topic is specific, focused, and relevant to the field of study.
• Conduct a literature review : Review existing literature and research relevant to your topic. Identify key theories, concepts, methodologies, and findings related to your research question. This will help you establish the context, identify research gaps, and demonstrate the significance of your proposed study.
• Define your research objectives and research question(s): Clearly state the objectives you aim to achieve with your research. Formulate research questions that address the gaps identified in the literature review. Your research objectives and questions should be specific, measurable, achievable, relevant, and time-bound (SMART).
• Develop a research methodology: Determine the most appropriate research design and methodology for your study. Consider whether quantitative, qualitative, or mixed-methods approaches will best address your research question(s). Describe the data collection methods, sampling strategy, data analysis techniques, and any ethical considerations associated with your research.
• Create a research plan and timeline: Outline the various stages of your research project, including tasks, milestones, and deadlines. Develop a realistic timeline that considers factors such as data collection, analysis, and report writing. This plan will help you stay organized and manage your time effectively throughout the research process.
• A. Introduction: Provide background information on the research problem, highlight its significance, and introduce your research objectives and questions.
• B. Literature review: Summarize relevant literature, identify gaps, and justify the need for your proposed research.
• C . Methodology: Describe your research design, data collection methods, sampling strategy, data analysis techniques, and any ethical considerations.
• D . Expected outcomes and significance: Explain the potential outcomes, contributions, and implications of your research.
• E. Resources: Identify the resources required to conduct your research, such as funding, equipment, or access to data.
• F . References: Include a list of cited references in the appropriate citation style.
• Revise and proofread: Review your proposal for clarity, coherence, and logical flow. Check for grammar and spelling errors. Seek feedback from mentors, colleagues, or advisors to refine and improve your proposal.
• Finalize and submit: Make any necessary revisions based on feedback and finalize your research proposal. Ensure that you have met all the requirements and formatting guidelines. Submit your proposal within the specified deadline.

Research Proposal Length

The length of a research proposal can vary depending on the specific guidelines provided by your institution or funding agency. However, research proposals typically range from 1,500 to 3,000 words, excluding references and any additional supporting documents.

Purpose of Research Proposal

The purpose of a research proposal is to outline and communicate your research project to others, such as academic institutions, funding agencies, or potential collaborators. It serves several important purposes:

• Demonstrate the significance of the research: A research proposal explains the importance and relevance of your research project. It outlines the research problem or question, highlights the gaps in existing knowledge, and explains how your study will contribute to the field. By clearly articulating the significance of your research, you can convince others of its value and potential impact.
• Provide a clear research plan: A research proposal outlines the methodology, design, and approach you will use to conduct your study. It describes the research objectives, data collection methods, data analysis techniques, and potential outcomes. By presenting a clear research plan, you demonstrate that your study is well-thought-out, feasible, and likely to produce meaningful results.
• Secure funding or support: For researchers seeking funding or support for their projects, a research proposal is essential. It allows you to make a persuasive case for why your research is deserving of financial resources or institutional backing. The proposal explains the budgetary requirements, resources needed, and potential benefits of the research, helping you secure the necessary funding or support.
• Seek feedback and guidance: Presenting a research proposal provides an opportunity to receive feedback and guidance from experts in your field. It allows you to engage in discussions and receive suggestions for refining your research plan, improving the methodology, or addressing any potential limitations. This feedback can enhance the quality of your study and increase its chances of success.
• Establish ethical considerations: A research proposal also addresses ethical considerations associated with your study. It outlines how you will ensure participant confidentiality, obtain informed consent, and adhere to ethical guidelines and regulations. By demonstrating your awareness and commitment to ethical research practices, you build trust and credibility in your proposed study.

Importance of Research Proposal

The research proposal holds significant importance in the research process. Here are some key reasons why research proposals are important:

• Planning and organization: A research proposal requires careful planning and organization of your research project. It forces you to think through the research objectives, research questions, methodology, and potential outcomes before embarking on the actual study. This planning phase helps you establish a clear direction and framework for your research, ensuring that your efforts are focused and purposeful.
• Demonstrating the significance of the research: A research proposal allows you to articulate the significance and relevance of your study. By providing a thorough literature review and clearly defining the research problem or question, you can showcase the gaps in existing knowledge that your research aims to address. This demonstrates to others, such as funding agencies or academic institutions, why your research is important and deserving of support.
• Obtaining funding and resources: Research proposals are often required to secure funding for your research project. Funding agencies and organizations need to evaluate the feasibility and potential impact of the proposed research before allocating resources. A well-crafted research proposal helps convince funders of the value of your research and increases the likelihood of securing financial support, grants, or scholarships.
• Receiving feedback and guidance: Presenting a research proposal provides an opportunity to seek feedback and guidance from experts in your field. By sharing your research plan and objectives with others, you can benefit from their insights and suggestions. This feedback can help refine your research design, strengthen your methodology, and ensure that your study is rigorous and well-informed.
• Ethical considerations: A research proposal addresses ethical considerations associated with your study. It outlines how you will protect the rights and welfare of participants, maintain confidentiality, obtain informed consent, and adhere to ethical guidelines and regulations. This emphasis on ethical practices ensures that your research is conducted responsibly and with integrity.
• Enhancing collaboration and partnerships: A research proposal can facilitate collaborations and partnerships with other researchers, institutions, or organizations. When presenting your research plan, you may attract the interest of potential collaborators who share similar research interests or possess complementary expertise. Collaborative partnerships can enrich your study, expand your resources, and foster knowledge exchange.
• Establishing a research trajectory: A research proposal serves as a foundation for your research project. Once approved, it becomes a roadmap that guides your study’s implementation, data collection, analysis, and reporting. It helps maintain focus and ensures that your research stays on track and aligned with the initial objectives.

When to Write Research Proposal

The timing of when to write a research proposal can vary depending on the specific requirements and circumstances. However, here are a few common situations when it is appropriate to write a research proposal:

• Academic research: If you are a student pursuing a research degree, such as a Ph.D. or Master’s by research, you will typically be required to write a research proposal as part of the application process. This is usually done before starting the research program to outline your proposed study and seek approval from the academic institution.
• Funding applications: When applying for research grants, scholarships, or funding from organizations or institutions, you will often need to submit a research proposal. Funding agencies require a detailed description of your research project, including its objectives, methodology, and expected outcomes. Writing a research proposal in this context is necessary to secure financial support for your study.
• Research collaborations: When collaborating with other researchers, institutions, or organizations on a research project, it is common to prepare a research proposal. This helps outline the research objectives, roles and responsibilities, and expected contributions from each party. Writing a research proposal in this case allows all collaborators to align their efforts and ensure a shared understanding of the project.
• Research project within an organization: If you are conducting research within an organization, such as a company or government agency, you may be required to write a research proposal to gain approval and support for your study. This proposal outlines the research objectives, methodology, resources needed, and expected outcomes, ensuring that the project aligns with the organization’s goals and objectives.
• Independent research projects: Even if you are not required to write a research proposal, it can still be beneficial to develop one for your independent research projects. Writing a research proposal helps you plan and structure your study, clarify your research objectives, and anticipate potential challenges or limitations. It also allows you to communicate your research plans effectively to supervisors, mentors, or collaborators.

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Researcher, Academic Writer, Web developer

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Methodology

• Qualitative vs. Quantitative Research | Differences, Examples & Methods

Qualitative vs. Quantitative Research | Differences, Examples & Methods

Published on April 12, 2019 by Raimo Streefkerk . Revised on June 22, 2023.

When collecting and analyzing data, quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings. Both are important for gaining different kinds of knowledge.

Common quantitative methods include experiments, observations recorded as numbers, and surveys with closed-ended questions.

Quantitative research is at risk for research biases including information bias , omitted variable bias , sampling bias , or selection bias . Qualitative research Qualitative research is expressed in words . It is used to understand concepts, thoughts or experiences. This type of research enables you to gather in-depth insights on topics that are not well understood.

Common qualitative methods include interviews with open-ended questions, observations described in words, and literature reviews that explore concepts and theories.

Table of contents

The differences between quantitative and qualitative research, data collection methods, when to use qualitative vs. quantitative research, how to analyze qualitative and quantitative data, other interesting articles, frequently asked questions about qualitative and quantitative research.

Quantitative and qualitative research use different research methods to collect and analyze data, and they allow you to answer different kinds of research questions.

Quantitative and qualitative data can be collected using various methods. It is important to use a data collection method that will help answer your research question(s).

Many data collection methods can be either qualitative or quantitative. For example, in surveys, observational studies or case studies , your data can be represented as numbers (e.g., using rating scales or counting frequencies) or as words (e.g., with open-ended questions or descriptions of what you observe).

However, some methods are more commonly used in one type or the other.

Quantitative data collection methods

• Surveys :  List of closed or multiple choice questions that is distributed to a sample (online, in person, or over the phone).
• Experiments : Situation in which different types of variables are controlled and manipulated to establish cause-and-effect relationships.
• Observations : Observing subjects in a natural environment where variables can’t be controlled.

Qualitative data collection methods

• Interviews : Asking open-ended questions verbally to respondents.
• Focus groups : Discussion among a group of people about a topic to gather opinions that can be used for further research.
• Ethnography : Participating in a community or organization for an extended period of time to closely observe culture and behavior.
• Literature review : Survey of published works by other authors.

A rule of thumb for deciding whether to use qualitative or quantitative data is:

• Use quantitative research if you want to confirm or test something (a theory or hypothesis )
• Use qualitative research if you want to understand something (concepts, thoughts, experiences)

For most research topics you can choose a qualitative, quantitative or mixed methods approach . Which type you choose depends on, among other things, whether you’re taking an inductive vs. deductive research approach ; your research question(s) ; whether you’re doing experimental , correlational , or descriptive research ; and practical considerations such as time, money, availability of data, and access to respondents.

Quantitative research approach

You survey 300 students at your university and ask them questions such as: “on a scale from 1-5, how satisfied are your with your professors?”

You can perform statistical analysis on the data and draw conclusions such as: “on average students rated their professors 4.4”.

Qualitative research approach

You conduct in-depth interviews with 15 students and ask them open-ended questions such as: “How satisfied are you with your studies?”, “What is the most positive aspect of your study program?” and “What can be done to improve the study program?”

Based on the answers you get you can ask follow-up questions to clarify things. You transcribe all interviews using transcription software and try to find commonalities and patterns.

Mixed methods approach

You conduct interviews to find out how satisfied students are with their studies. Through open-ended questions you learn things you never thought about before and gain new insights. Later, you use a survey to test these insights on a larger scale.

It’s also possible to start with a survey to find out the overall trends, followed by interviews to better understand the reasons behind the trends.

Qualitative or quantitative data by itself can’t prove or demonstrate anything, but has to be analyzed to show its meaning in relation to the research questions. The method of analysis differs for each type of data.

Analyzing quantitative data

Quantitative data is based on numbers. Simple math or more advanced statistical analysis is used to discover commonalities or patterns in the data. The results are often reported in graphs and tables.

Applications such as Excel, SPSS, or R can be used to calculate things like:

• Average scores ( means )
• The number of times a particular answer was given
• The correlation or causation between two or more variables
• The reliability and validity of the results

Analyzing qualitative data

Qualitative data is more difficult to analyze than quantitative data. It consists of text, images or videos instead of numbers.

Some common approaches to analyzing qualitative data include:

• Qualitative content analysis : Tracking the occurrence, position and meaning of words or phrases
• Thematic analysis : Closely examining the data to identify the main themes and patterns
• Discourse analysis : Studying how communication works in social contexts

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Chi square goodness of fit test
• Degrees of freedom
• Null hypothesis
• Discourse analysis
• Control groups
• Mixed methods research
• Non-probability sampling
• Quantitative research
• Inclusion and exclusion criteria

Research bias

• Rosenthal effect
• Implicit bias
• Cognitive bias
• Selection bias
• Negativity bias
• Status quo bias

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts and meanings, use qualitative methods .
• If you want to analyze a large amount of readily-available data, use secondary data. If you want data specific to your purposes with control over how it is generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organizations.

There are various approaches to qualitative data analysis , but they all share five steps in common:

• Prepare and organize your data.
• Review and explore your data.
• Develop a data coding system.
• Assign codes to the data.
• Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

A research project is an academic, scientific, or professional undertaking to answer a research question . Research projects can take many forms, such as qualitative or quantitative , descriptive , longitudinal , experimental , or correlational . What kind of research approach you choose will depend on your topic.

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DNA-Based Water Quality Monitoring Methods to Support Aquatic and Human Health Webinar

• April 24, 2024 from 2 to 3pm ET ( Webinar series )
• The webinar recording will be posted to this page within two weeks of the live broadcast.

About the Webinar

1. Becoming Uncultured: Daily Recreational Water Quality Monitoring and Public Notification at Chicago Beaches Using qPCR

Beach water monitoring and notification is vital for protecting the health of beachgoers. Traditionally, beach monitoring has relied on culturing fecal indicator bacteria using methods that require 18-24 hours to generate results, thus providing outdated information for current beach management decisions. In the 2012 Recreational Water Quality Criteria (RWQC), the USEPA endorsed a qPCR method for rapidly measuring enterococci. Since 2015, through a partnership between Chicago Park District (CPD) and the University of Illinois Chicago School of Public Health (UIC SPH), Chicagoans have daily beach monitoring notifications typically within four hours. Having a well-trained team and consistent daily schedule proved essential for delivering timely and high-quality qPCR results to guide same-day beach management decisions. Given that culture-based results from the previous day can often lead to erroneous beach management decisions, the rapid molecular method should be regarded as the benchmark for public health protection. In this presentation, the discussion will focus on how, following a two-year pilot program of rapid molecular testing of beach water samples, in 2017, Chicago became the first large U.S. city to issue same-day water-quality warnings for all its public recreational beaches and has successfully done so every year after that. The CPD and UIC SPH partnership illustrates that true daily beach monitoring using same-day water quality results is an achievable goal.

Presenter: Abhilasha Shrestha, PhD, University of Illinois Chicago Abhilasha is a Research Assistant Professor within the Environmental and Occupational Health Sciences Department at the University of Illinois Chicago School of Public Health (Chicago, IL). Dr. Shrestha conducts research primarily focused on water quality and its implications for public health. Her research interests include investigating various indicator targets and genes to rapidly assess infectious agents in water. Since 2015, she has overseen the management and operation of Chicago’s Lake Michigan beach monitoring project, conducted in collaboration with the Chicago Park District. In addition to her work on beach monitoring, her research also focuses on identifying and mitigating different bacterial sources of pollution at public Lake Michigan beaches in Chicago, utilizing microbial source tracking. Furthermore, Dr. Shrestha spearheaded a wastewater surveillance project for SARS-CoV-2 in Kisumu, Kenya, from 2022 to 2023. She is engaged in ongoing global health water research projects in Kenya and Nepal, contributing significantly to the understanding and management of waterborne health risks on an international scale.

2. Standard Control Material for Quantitative Real-Time PCR Recreational Water Quality Monitoring

Fecal pollution remains a significant challenge for recreational water quality managers. The use of quantitative real-time PCR (qPCR) methods is increasing, allowing for same day beach water quality public notification and identification of key fecal pollution sources. However, widespread implementation requires access to a high-quality standard control material. This presentation describes a collaboration between the U.S. Environmental Protection Agency and the National Institute of Standards and Technology to develop Standard Reference Material® 2917 (SRM 2917), SRM 2917 “fit for purpose” performance assessment, and implications for qPCR recreational water monitoring implementation.

Presenter: Orin Shanks, PhD, EPA Office of Research and Development Orin is a senior scientist with the EPA’s Center for Environmental Measurement and Modeling. His current research activities focus on the development and implementation of quantitative nucleic acid-based fecal pollution diagnostic tools, advances in molecular method data analyses and visualization, as well as the persistence of genetic material in environmental scenarios.  In addition to research activities, he also provides technical assistance to EPA program offices and regions, states, tribes, and other local groups with an interest in clean and safe waters.

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