qualitative research pros and cons

23 Advantages and Disadvantages of Qualitative Research

Investigating methodologies. Taking a closer look at ethnographic, anthropological, or naturalistic techniques. Data mining through observer recordings. This is what the world of qualitative research is all about. It is the comprehensive and complete data that is collected by having the courage to ask an open-ended question.

Print media has used the principles of qualitative research for generations. Now more industries are seeing the advantages that come from the extra data that is received by asking more than a “yes” or “no” question.

The advantages and disadvantages of qualitative research are quite unique. On one hand, you have the perspective of the data that is being collected. On the other hand, you have the techniques of the data collector and their own unique observations that can alter the information in subtle ways.

That’s why these key points are so important to consider.

What Are the Advantages of Qualitative Research?

1. Subject materials can be evaluated with greater detail. There are many time restrictions that are placed on research methods. The goal of a time restriction is to create a measurable outcome so that metrics can be in place. Qualitative research focuses less on the metrics of the data that is being collected and more on the subtleties of what can be found in that information. This allows for the data to have an enhanced level of detail to it, which can provide more opportunities to glean insights from it during examination.

2. Research frameworks can be fluid and based on incoming or available data. Many research opportunities must follow a specific pattern of questioning, data collection, and information reporting. Qualitative research offers a different approach. It can adapt to the quality of information that is being gathered. If the available data does not seem to be providing any results, the research can immediately shift gears and seek to gather data in a new direction. This offers more opportunities to gather important clues about any subject instead of being confined to a limited and often self-fulfilling perspective.

3. Qualitative research data is based on human experiences and observations. Humans have two very different operating systems. One is a subconscious method of operation, which is the fast and instinctual observations that are made when data is present. The other operating system is slower and more methodical, wanting to evaluate all sources of data before deciding. Many forms of research rely on the second operating system while ignoring the instinctual nature of the human mind. Qualitative research doesn’t ignore the gut instinct. It embraces it and the data that can be collected is often better for it.

4. Gathered data has a predictive quality to it. One of the common mistakes that occurs with qualitative research is an assumption that a personal perspective can be extrapolated into a group perspective. This is only possible when individuals grow up in similar circumstances, have similar perspectives about the world, and operate with similar goals. When these groups can be identified, however, the gathered individualistic data can have a predictive quality for those who are in a like-minded group. At the very least, the data has a predictive quality for the individual from whom it was gathered.

5. Qualitative research operates within structures that are fluid. Because the data being gathered through this type of research is based on observations and experiences, an experienced researcher can follow-up interesting answers with additional questions. Unlike other forms of research that require a specific framework with zero deviation, researchers can follow any data tangent which makes itself known and enhance the overall database of information that is being collected.

6. Data complexities can be incorporated into generated conclusions. Although our modern world tends to prefer statistics and verifiable facts, we cannot simply remove the human experience from the equation. Different people will have remarkably different perceptions about any statistic, fact, or event. This is because our unique experiences generate a different perspective of the data that we see. These complexities, when gathered into a singular database, can generate conclusions with more depth and accuracy, which benefits everyone.

7. Qualitative research is an open-ended process. When a researcher is properly prepared, the open-ended structures of qualitative research make it possible to get underneath superficial responses and rational thoughts to gather information from an individual’s emotional response. This is critically important to this form of researcher because it is an emotional response which often drives a person’s decisions or influences their behavior.

8. Creativity becomes a desirable quality within qualitative research. It can be difficult to analyze data that is obtained from individual sources because many people subconsciously answer in a way that they think someone wants. This desire to “please” another reduces the accuracy of the data and suppresses individual creativity. By embracing the qualitative research method, it becomes possible to encourage respondent creativity, allowing people to express themselves with authenticity. In return, the data collected becomes more accurate and can lead to predictable outcomes.

9. Qualitative research can create industry-specific insights. Brands and businesses today need to build relationships with their core demographics to survive. The terminology, vocabulary, and jargon that consumers use when looking at products or services is just as important as the reputation of the brand that is offering them. If consumers are receiving one context, but the intention of the brand is a different context, then the miscommunication can artificially restrict sales opportunities. Qualitative research gives brands access to these insights so they can accurately communicate their value propositions.

10. Smaller sample sizes are used in qualitative research, which can save on costs. Many qualitative research projects can be completed quickly and on a limited budget because they typically use smaller sample sizes that other research methods. This allows for faster results to be obtained so that projects can move forward with confidence that only good data is able to provide.

11. Qualitative research provides more content for creatives and marketing teams. When your job involves marketing, or creating new campaigns that target a specific demographic, then knowing what makes those people can be quite challenging. By going through the qualitative research approach, it becomes possible to congregate authentic ideas that can be used for marketing and other creative purposes. This makes communication between the two parties to be handled with more accuracy, leading to greater level of happiness for all parties involved.

12. Attitude explanations become possible with qualitative research. Consumer patterns can change on a dime sometimes, leaving a brand out in the cold as to what just happened. Qualitative research allows for a greater understanding of consumer attitudes, providing an explanation for events that occur outside of the predictive matrix that was developed through previous research. This allows the optimal brand/consumer relationship to be maintained.

What Are the Disadvantages of Qualitative Research?

1. The quality of the data gathered in qualitative research is highly subjective. This is where the personal nature of data gathering in qualitative research can also be a negative component of the process. What one researcher might feel is important and necessary to gather can be data that another researcher feels is pointless and won’t spend time pursuing it. Having individual perspectives and including instinctual decisions can lead to incredibly detailed data. It can also lead to data that is generalized or even inaccurate because of its reliance on researcher subjectivisms.

2. Data rigidity is more difficult to assess and demonstrate. Because individual perspectives are often the foundation of the data that is gathered in qualitative research, it is more difficult to prove that there is rigidity in the information that is collective. The human mind tends to remember things in the way it wants to remember them. That is why memories are often looked at fondly, even if the actual events that occurred may have been somewhat disturbing at the time. This innate desire to look at the good in things makes it difficult for researchers to demonstrate data validity.

3. Mining data gathered by qualitative research can be time consuming. The number of details that are often collected while performing qualitative research are often overwhelming. Sorting through that data to pull out the key points can be a time-consuming effort. It is also a subjective effort because what one researcher feels is important may not be pulled out by another researcher. Unless there are some standards in place that cannot be overridden, data mining through a massive number of details can almost be more trouble than it is worth in some instances.

4. Qualitative research creates findings that are valuable, but difficult to present. Presenting the findings which come out of qualitative research is a bit like listening to an interview on CNN. The interviewer will ask a question to the interviewee, but the goal is to receive an answer that will help present a database which presents a specific outcome to the viewer. The goal might be to have a viewer watch an interview and think, “That’s terrible. We need to pass a law to change that.” The subjective nature of the information, however, can cause the viewer to think, “That’s wonderful. Let’s keep things the way they are right now.” That is why findings from qualitative research are difficult to present. What a research gleans from the data can be very different from what an outside observer gleans from the data.

5. Data created through qualitative research is not always accepted. Because of the subjective nature of the data that is collected in qualitative research, findings are not always accepted by the scientific community. A second independent qualitative research effort which can produce similar findings is often necessary to begin the process of community acceptance.

6. Researcher influence can have a negative effect on the collected data. The quality of the data that is collected through qualitative research is highly dependent on the skills and observation of the researcher. If a researcher has a biased point of view, then their perspective will be included with the data collected and influence the outcome. There must be controls in place to help remove the potential for bias so the data collected can be reviewed with integrity. Otherwise, it would be possible for a researcher to make any claim and then use their bias through qualitative research to prove their point.

7. Replicating results can be very difficult with qualitative research. The scientific community wants to see results that can be verified and duplicated to accept research as factual. In the world of qualitative research, this can be very difficult to accomplish. Not only do you have the variability of researcher bias for which to account within the data, but there is also the informational bias that is built into the data itself from the provider. This means the scope of data gathering can be extremely limited, even if the structure of gathering information is fluid, because of each unique perspective.

8. Difficult decisions may require repetitive qualitative research periods. The smaller sample sizes of qualitative research may be an advantage, but they can also be a disadvantage for brands and businesses which are facing a difficult or potentially controversial decision. A small sample is not always representative of a larger population demographic, even if there are deep similarities with the individuals involve. This means a follow-up with a larger quantitative sample may be necessary so that data points can be tracked with more accuracy, allowing for a better overall decision to be made.

9. Unseen data can disappear during the qualitative research process. The amount of trust that is placed on the researcher to gather, and then draw together, the unseen data that is offered by a provider is enormous. The research is dependent upon the skill of the researcher being able to connect all the dots. If the researcher can do this, then the data can be meaningful and help brands and progress forward with their mission. If not, there is no way to alter course until after the first results are received. Then a new qualitative process must begin.

10. Researchers must have industry-related expertise. You can have an excellent researcher on-board for a project, but if they are not familiar with the subject matter, they will have a difficult time gathering accurate data. For qualitative research to be accurate, the interviewer involved must have specific skills, experiences, and expertise in the subject matter being studied. They must also be familiar with the material being evaluated and have the knowledge to interpret responses that are received. If any piece of this skill set is missing, the quality of the data being gathered can be open to interpretation.

11. Qualitative research is not statistically representative. The one disadvantage of qualitative research which is always present is its lack of statistical representation. It is a perspective-based method of research only, which means the responses given are not measured. Comparisons can be made and this can lead toward the duplication which may be required, but for the most part, quantitative data is required for circumstances which need statistical representation and that is not part of the qualitative research process.

The advantages and disadvantages of qualitative research make it possible to gather and analyze individualistic data on deeper levels. This makes it possible to gain new insights into consumer thoughts, demographic behavioral patterns, and emotional reasoning processes. When a research can connect the dots of each information point that is gathered, the information can lead to personalized experiences, better value in products and services, and ongoing brand development.

16 Key Advantages and Disadvantages of Qualitative Research Methods

Qualitative research is the process of natural inquisitiveness which wants to find an in-depth understanding of specific social phenomena within a regular setting. It is a process that seeks to find out why people act the way that they do in specific situations. By relying on the direct experiences that each person has every day, it becomes possible to define the meaning of a choice – or even a life.

Researchers who use the qualitative process are looking at multiple methods of inquiry to review human-related activities. This process is a way to measure the very existence of humanity. Multiple options are available to complete the work, including discourse analysis, biographies, case studies, and various other theories.

This process results in three primary areas of focus, which are individual actions, overall communication, and cultural influence. Each option must make the common assumption that knowledge is subjective instead of objective, which means the researchers must learn from their participants to understand what is valuable and what is not in their studies.

List of the Pros of Qualitative Research

1. Qualitative research is a very affordable method of research. Qualitative research is one of the most affordable ways to glean information from individuals who are being studied. Focus groups tend to be the primary method of collecting information using this process because it is fast and effective. Although there are research studies that require an extensive period of observation to produce results, using a group interview session can produce usable information in under an hour. That means you can proceed faster with the ideas you wish to pursue when compared to other research methods.

2. Qualitative research provides a predictive element. The data which researchers gather when using the qualitative research process provides a predictive element to the project. This advantage occurs even though the experiences or perspectives of the individuals participating in the research can vary substantially from person-to-person. The goal of this work is not to apply the information to the general public, but to understand how specific demographics react in situations where there are challenges to face. It is a process which allows for product development to occur because the pain points of the population have been identified.

3. Qualitative research focuses on the details of personal choice. The qualitative research process looks at the purpose of the decision that an individual makes as the primary information requiring collection. It does not take a look at the reasons why someone would decide to make the choices that they do in the first place. Other research methods preferred to look at the behavior, but this method wants to know the entire story behind each individual choice so that the entire population or society can benefit from the process.

4. Qualitative research uses fluid operational structures. The qualitative research process relies on data gathering based on situations that researchers are watching and experiencing personally. Instead of relying on a specific framework to collect and preserve information under rigid guidelines, this process finds value in the human experience. This method makes it possible to include the intricacies of the human experience with the structures required to find conclusions that are useful to the demographics involved – and possible to the rest of society as well.

5. Qualitative research uses individual choices as workable data. When we have an understanding of why individual choices occurred, then we can benefit from the diversity that the human experience provides. Each unique perspective makes it possible for every other person to gather more knowledge about a situation because there are differences to examine. It is a process which allows us to discover more potential outcomes because there is more information present from a variety of sources. Researchers can then take the perspectives to create guidelines that others can follow if they find themselves stuck in a similar situation.

6. Qualitative research is an open-ended process. One of the most significant advantages of qualitative research is that it does not rely on specific deadlines, formats, or questions to create a successful outcome. This process allows researchers to ask open-ended questions whenever they feel it is appropriate because there may be more data to collect. There are not the same time elements involved in this process either, as qualitative research can continue indefinitely until those working on the project feel like there is nothing more to glean from the individuals participating.

Because of this unique structure, researchers can look for data points that other methods might overlook because a greater emphasis is often placed on the interview or observational process with firm deadlines.

7. Qualitative research works to remove bias from its collected information. Unconscious bias is a significant factor in every research project because it relies on the ability of the individuals involved to control their thoughts, emotions, and reactions. Everyone has preconceived notions and stereotypes about specific demographics and nationalities which can influence the data collected. No one is 100% immune to this process. The format of qualitative research allows for these judgments to be set aside because it prefers to look at the specific structures behind each choice of person makes.

This research method also collects information about the events which lead up to a specific decision instead of trying to examine what happens after the fact. That’s why this advantage allows the data to be more accurate compared to the other research methods which are in use.

8. Qualitative research provides specific insight development. The average person tends to make a choice based on comfort, convenience, or both. We also tend to move forward in our circumstances based on what we feel is comfortable to our spiritual, moral, or ethical stances. Every form of communication that we use becomes a potential foundation for researchers to understand the demographics of humanity in better ways. By looking at the problems we face in everyday situations, it becomes possible to discover new insights that can help us to solve do you need problems which can come up. It is a way for researchers to understand the context of what happens in society instead of only looking at the outcomes.

9. Qualitative research requires a smaller sample size. Qualitative research studies wrap up faster that other methods because a smaller sample size is possible for data collection with this method. Participants can answer questions immediately, creating usable and actionable information that can lead to new ideas. This advantage makes it possible to move forward with confidence in future choices because there is added predictability to the results which are possible.

10. Qualitative research provides more useful content. Authenticity is highly demanded in today’s world because there is no better way to understand who we are as an individual, a community, or a society. Qualitative research works hard to understand the core concepts of how each participant defines themselves without the influence of outside perspectives. It wants to see how people structure their lives, and then take that data to help solve whatever problems they might have. Although no research method can provide guaranteed results, there is always some type of actionable information present with this approach.

List of the Cons of Qualitative Research

1. Qualitative research creates subjective information points. The quality of the information collected using the qualitative research process can sometimes be questionable. This approach requires the researchers to connect all of the data points which they gather to find the answers to their questions. That means the results are dependent upon the skills of those involved to read the non-verbal cues of each participate, understand when and where follow-up questions are necessary, and remember to document each response. Because individuals can interpret this data in many different ways, there can sometimes be differences in the conclusion because each researcher has a different take on what they receive.

2. Qualitative research can involve significant levels of repetition. Although the smaller sample sizes found in qualitative research can be an advantage, this structure can also be a problem when researchers are trying to collect a complete data profile for a specific demographic. Multiple interviews and discovery sessions become necessary to discover what the potential consequences of a future choice will be. When you only bring in a handful of people to discuss a situation, then these individuals may not offer a complete representation of the group being studied. Without multiple follow-up sessions with other participants, there is no way to prove the authenticity of the information collected.

3. Qualitative research is difficult to replicate. The only way that research can turn into fact is through a process of replication. Other researchers must be able to come to the similar conclusions after the initial project publishers the results. Because the nature of this work is subjective, finding opportunities to duplicate the results are quite rare. The scope of information which a project collects is often limited, which means there is always some doubt found in the data. That is why you will often see a margin of error percentage associated with research that uses this method. Because it never involves every potential member of a demographic, it will always be incomplete.

4. Qualitative research relies on the knowledge of the researchers. The only reason why opportunities are available in the first place when using qualitative research is because there are researchers involved which have expertise that relates to the subject matter being studied. When interviewers are unfamiliar with industry concepts, then it is much more challenging to identify follow-up opportunities that would be if the individual conducting the session was familiar with the ideas under discussion. There is no way to correctly interpret the data if the perspective of the researcher is skewed by a lack of knowledge.

5. Qualitative research does not offer statistics. The goal of qualitative research is to seek out moments of commonality. That means you will not find statistical data within the results. It looks to find specific areas of concern or pain points that are usable to the organization funding to research in the first place. The amount of data collected using this process can be extreme, but there is no guarantee that it will ever be usable. You do not have the same opportunities to compare information as you would with other research methods.

6. Qualitative research still requires a significant time investment. It is true that there are times when the qualitative research process is significantly faster than other methods. There is also the disadvantage in the fact that the amount of time necessary to collect accurate data can be unpredictable using this option. It may take months, years, or even decades to complete a research project if there is a massive amount of data to review. That means the researchers involve must make a long-term commitment to the process to ensure the results can be as accurate as possible.

These qualitative research pros and cons review how all of us come to the choices that we make each day. When researchers understand why we come to specific conclusions, then it becomes possible to create new goods and services that can make our lives easier. This process then concludes with solutions which can benefit a significant majority of the people, leading to better best practices in the future.

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10 Advantages and Disadvantages of Qualitative Research

  — August 5th, 2021

Research is about gathering data so that it can inform meaningful decisions. In the workplace, this can be invaluable in allowing informed decision-making that will meet with wider strategic organizational goals.

However, research comes in a variety of guises and, depending on the methodologies applied, can achieve different ends. There are broadly two key approaches to research -- qualitative and quantitative.

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Qualitative v quantitative – what’s the difference.

Qualitative Research is at the touchy-feely end of the spectrum. It’s not so much about bean-counting and much more about capturing people’s opinions and emotions.

“Research following a qualitative approach is exploratory and seeks to explain ‘how’ and ‘why’ a particular phenomenon, or behavior, operates as it does in a particular context.” (simplypsychology.org)

Examples of the way qualitative research is often gathered includes:

Interviews are a conversation based inquiry where questions are used to obtain information from participants. Interviews are typically structured to meet the researcher’s objectives.

Focus Groups

Focus group discussions are a common qualitative research strategy . In a focus group discussion, the interviewer talks to a group of people about their thoughts, opinions, beliefs, and attitudes towards a topic. Participants are typically a group who are similar in some way, such as income, education, or career. In the context of a company, the group dynamic is likely their common experience of the workplace.

Observation

Observation is a systematic research method in which researchers look at the activity of their subjects in their typical environment. Observation gives direct information about your research. Using observation can capture information that participants may not think to reveal or see as important during interviews/focus groups.

Existing Documents

This is also called secondary data. A qualitative data collection method entails extracting relevant data from existing documents. This data can then be analyzed using a qualitative data analysis method called content analysis. Existing documents might be work documents, work email , or any other material relevant to the organization.

Quantitative Research is the ‘bean-counting’ bit of the research spectrum. This isn’t to demean its value. Now encompassed by the term ‘ People Analytics ’, it plays an equally important role as a tool for business decision-making.

Organizations can use a variety of quantitative data-gathering methods to track productivity. In turn, this can help:

• To rank employees and work units
• To award raises or promotions.
• To measure and justify termination or disciplining of staff
• To measure productivity
• To measure group/individual targets

Examples might include measuring workforce productivity. If Widget Makers Inc., has two production lines and Line A is producing 25% more per day than Line B, capturing this data immediately informs management/HR of potential issues. Is the slower production on Line B due to human factors or is there a production process issue?

Quantitative Research can help capture real-time activities in the workplace and point towards what needs management attention.

The Pros & Cons of the Qualitative approach

By its nature, qualitative research is far more experiential and focused on capturing people’s feelings and views. This undoubtedly has value, but it can also bring many more challenges than simply capturing quantitative data. Here are a few challenges and benefits to consider.

• Qualitative Research can capture changing attitudes within a target group such as consumers of a product or service, or attitudes in the workplace.
• Qualitative approaches to research are not bound by the limitations of quantitative methods. If responses don’t fit the researcher’s expectation that’s equally useful qualitative data to add context and perhaps explain something that numbers alone are unable to reveal .
• Qualitative Research provides a much more flexible approach . If useful insights are not being captured researchers can quickly adapt questions, change the setting or any other variable to improve responses.
• Qualitative data capture allows researchers to be far more speculative about what areas they choose to investigate and how to do so. It allows data capture to be prompted by a researcher’s instinctive or ‘gut feel’ for where good information will be found.

Qualitative research can be more targeted . If you want to compare productivity across an entire organization, all parts, process, and participants need to be accounted for. Qualitative research can be far more concentrated, sampling specific groups and key points in a company to gather meaningful data. This can both speed the process of data capture and keep the costs of data-gathering down.

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• Sample size can be a big issue. If you seek to infer from a sample of, for example, 200 employees, based upon a sample of 5 employees, this raises the question of whether sampling will provide a true reflection of the views of the remaining 97.5% of the company?
• Sample bias - HR departments will have competing agendas. One argument against qualitative methods alone is that HR tasked with finding the views of the workforce may be influenced both consciously or unconsciously, to select a sample that favors an anticipated outcome .
• Self-selection bias may arise where companies ask staff to volunteer their views . Whether in a paper, online survey , or focus group, if an HR department calls for participants there will be the issue of staff putting themselves forward. The argument goes that this group, in self-selecting itself, rather than being a randomly selected snapshot of a department, will inevitably have narrowed its relevance to those that typically are willing to come forward with their views. Quantitative data is gathered whether someone volunteered or not.
• The artificiality of qualitative data capture. The act of bringing together a group is inevitably outside of the typical ‘norms ’ of everyday work life and culture and may influence the participants in unforeseen ways.
• Are the right questions being posed to participants? You can only get answers to questions you think to ask . In qualitative approaches, asking about “how” and “why” can be hugely informative, but if researchers don’t ask, that insight may be missed.

The reality is that any research approach has both pros and cons. The art of effective and meaningful data gathering is thus to be aware of the limitations and strengths of each method.

In the case of Qualitative research, its value is inextricably linked to the number-crunching that is Quantitative data. One is the Ying to the other’s Yang. Each can only provide half of the picture, but together, you get a more complete view of what’s occurring within an organization.

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• What Is Qualitative Research? | Methods & Examples

What Is Qualitative Research? | Methods & Examples

Published on June 19, 2020 by Pritha Bhandari . Revised on June 22, 2023.

Qualitative research involves collecting and analyzing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences. It can be used to gather in-depth insights into a problem or generate new ideas for research.

Qualitative research is the opposite of quantitative research , which involves collecting and analyzing numerical data for statistical analysis.

Qualitative research is commonly used in the humanities and social sciences, in subjects such as anthropology, sociology, education, health sciences, history, etc.

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Table of contents

Approaches to qualitative research, qualitative research methods, qualitative data analysis, advantages of qualitative research, disadvantages of qualitative research, other interesting articles, frequently asked questions about qualitative research.

Qualitative research is used to understand how people experience the world. While there are many approaches to qualitative research, they tend to be flexible and focus on retaining rich meaning when interpreting data.

Common approaches include grounded theory, ethnography , action research , phenomenological research, and narrative research. They share some similarities, but emphasize different aims and perspectives.

Note that qualitative research is at risk for certain research biases including the Hawthorne effect , observer bias , recall bias , and social desirability bias . While not always totally avoidable, awareness of potential biases as you collect and analyze your data can prevent them from impacting your work too much.

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Each of the research approaches involve using one or more data collection methods . These are some of the most common qualitative methods:

• Observations: recording what you have seen, heard, or encountered in detailed field notes.
• Interviews:  personally asking people questions in one-on-one conversations.
• Focus groups: asking questions and generating discussion among a group of people.
• Surveys : distributing questionnaires with open-ended questions.
• Secondary research: collecting existing data in the form of texts, images, audio or video recordings, etc.
• You take field notes with observations and reflect on your own experiences of the company culture.
• You distribute open-ended surveys to employees across all the company’s offices by email to find out if the culture varies across locations.
• You conduct in-depth interviews with employees in your office to learn about their experiences and perspectives in greater detail.

Qualitative researchers often consider themselves “instruments” in research because all observations, interpretations and analyses are filtered through their own personal lens.

For this reason, when writing up your methodology for qualitative research, it’s important to reflect on your approach and to thoroughly explain the choices you made in collecting and analyzing the data.

Qualitative data can take the form of texts, photos, videos and audio. For example, you might be working with interview transcripts, survey responses, fieldnotes, or recordings from natural settings.

Most types of qualitative data analysis share the same five steps:

• Prepare and organize your data. This may mean transcribing interviews or typing up fieldnotes.
• Review and explore your data. Examine the data for patterns or repeated ideas that emerge.
• Develop a data coding system. Based on your initial ideas, establish a set of codes that you can apply to categorize your data.
• Assign codes to the data. For example, in qualitative survey analysis, this may mean going through each participant’s responses and tagging them with codes in a spreadsheet. As you go through your data, you can create new codes to add to your system if necessary.
• Identify recurring themes. Link codes together into cohesive, overarching themes.

There are several specific approaches to analyzing qualitative data. Although these methods share similar processes, they emphasize different concepts.

Qualitative research often tries to preserve the voice and perspective of participants and can be adjusted as new research questions arise. Qualitative research is good for:

• Flexibility

The data collection and analysis process can be adapted as new ideas or patterns emerge. They are not rigidly decided beforehand.

• Natural settings

Data collection occurs in real-world contexts or in naturalistic ways.

• Meaningful insights

Detailed descriptions of people’s experiences, feelings and perceptions can be used in designing, testing or improving systems or products.

• Generation of new ideas

Open-ended responses mean that researchers can uncover novel problems or opportunities that they wouldn’t have thought of otherwise.

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Researchers must consider practical and theoretical limitations in analyzing and interpreting their data. Qualitative research suffers from:

• Unreliability

The real-world setting often makes qualitative research unreliable because of uncontrolled factors that affect the data.

• Subjectivity

Due to the researcher’s primary role in analyzing and interpreting data, qualitative research cannot be replicated . The researcher decides what is important and what is irrelevant in data analysis, so interpretations of the same data can vary greatly.

• Limited generalizability

Small samples are often used to gather detailed data about specific contexts. Despite rigorous analysis procedures, it is difficult to draw generalizable conclusions because the data may be biased and unrepresentative of the wider population .

• Labor-intensive

Although software can be used to manage and record large amounts of text, data analysis often has to be checked or performed manually.

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.

There are five common approaches to qualitative research :

• Grounded theory involves collecting data in order to develop new theories.
• Ethnography involves immersing yourself in a group or organization to understand its culture.
• Narrative research involves interpreting stories to understand how people make sense of their experiences and perceptions.
• Phenomenological research involves investigating phenomena through people’s lived experiences.
• Action research links theory and practice in several cycles to drive innovative changes.

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 .

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The Ultimate Guide to Qualitative Research - Part 1: The Basics

• Introduction and overview

Basics of qualitative research

Types, aspects, examples, benefits and challenges, how qualitative research complements quantitative research, how is qualitative research reported.

• What is qualitative data?
• Examples of qualitative data
• Qualitative vs. quantitative research
• Mixed methods
• Qualitative research preparation
• Theoretical perspective
• Theoretical framework
• Literature reviews
• Research question
• Conceptual framework
• Conceptual vs. theoretical framework
• Data collection
• Qualitative research methods
• Focus groups
• Observational research
• Case studies
• Ethnographical research

Ethical considerations

• Confidentiality and privacy
• Power dynamics
• Reflexivity

What is qualitative research?

Qualitative research is an essential approach in various academic disciplines and professional fields, as it seeks to understand and interpret the meanings, experiences, and social realities of people in their natural settings. This type of research employs an array of qualitative methods to gather and analyze non-numerical data, such as words, images, and behaviors, and aims to generate in-depth and contextualized insights into the phenomena under study.

Qualitative research is designed to address research questions that focus on understanding the "why" and "how" of human behavior, experiences, and interactions, rather than just the "what" or "how many" that quantitative methods typically seek to answer. The main purpose of qualitative research is to gain a rich and nuanced understanding of people's perspectives, emotions, beliefs, and motivations in relation to specific issues, situations, or phenomena.

Characteristics of qualitative research

Several key characteristics distinguish qualitative research from other types of research, such as quantitative research:

Naturalistic settings : Qualitative researchers collect data in the real-world settings where the phenomena of interest occur, rather than in controlled laboratory environments. This allows researchers to observe and understand the participants' behavior, experiences, and social interactions in their natural context.

Inductive approach : Unlike quantitative research, which often follows a deductive approach , qualitative research begins with the collection of data and then seeks to develop theories, concepts, or themes that emerge from the data. This inductive approach enables researchers to stay open to new insights and unexpected findings.

Holistic perspective : Qualitative research aims to provide a comprehensive understanding of the phenomena under study by considering multiple dimensions, such as the social, cultural, historical, and psychological aspects that shape people's experiences and behavior.

Subjectivity and interpretation : Epistemology plays a crucial role in qualitative research. Researchers are encouraged to reflect on their biases, assumptions, and values , and to consider how these may influence their data collection, analysis, and interpretation.

Flexibility : Qualitative research methods are often flexible and adaptable, allowing researchers to refine their research questions , sampling strategies, or data collection techniques as new insights and perspectives emerge during the research process.

Key principles of qualitative research

Qualitative research is guided by several fundamental principles that shape its approach, methods, and analysis:

Empathy and reflexivity : Qualitative researchers strive to empathize with the participants and to understand their perspectives, experiences, and emotions from their viewpoint. This requires researchers to be attentive, open-minded, and sensitive to the participants' verbal and non-verbal cues. At the same, qualitative researchers critically reflect on their participants’ perspectives, experiences, and emotions to develop their findings and conclusions, instead of taking these at face value. In addition, it is important for the researcher to reflect on how their own role and viewpoint may be shaping the research.

Trustworthiness : Establishing trustworthiness in qualitative research involves demonstrating credibility, transferability, dependability, and confirmability. Researchers can enhance trustworthiness by using various strategies, such as triangulation, member checking , peer debriefing , and reflexivity .

Iterative analysis : Qualitative data analysis is an ongoing and iterative process, in which researchers continually review, compare, and revise their interpretations as they collect and analyze more data. This iterative process allows researchers to refine their understanding of the phenomena and to develop more robust and nuanced theories, concepts, or themes.

Rich description : Providing detailed, vivid, and context-sensitive descriptions of the data is essential in qualitative research. Rich descriptions help convey the complexity and nuances of the phenomena under study, and enable readers to assess the relevance and transferability of the findings to other settings or populations.

What are the common types of qualitative research?

Qualitative research is an umbrella term for various methodologies that focus on understanding and interpreting human experiences, behaviors, and social phenomena within their context. These approaches seek to gather in-depth, rich data through the analysis of language, actions, and expressions. Five common types of qualitative research are narrative research , phenomenology , grounded theory , ethnography , and case study .

Narrative research : This approach focuses on the stories and experiences of individuals, aiming to understand their lives and personal perspectives. Researchers can collect data through interviews, letters, diaries, or autobiographies, and analyze these narratives to identify recurring themes, patterns, and meanings . Narrative research can be valuable for exploring individual identities, cultural beliefs, and historical events.

Phenomenology : Phenomenology seeks to understand the essence of a particular phenomenon by analyzing the experiences and perceptions of individuals who have gone through that phenomenon . Researchers can explore participants' thoughts, feelings, and experiences through in-depth interviews, observations, or written materials. The goal is to describe the commonalities and variations in these experiences, ultimately revealing the underlying structures and meaning of the phenomenon under study.

Grounded theory : This inductive research method aims to generate new theories by systematically collecting and analyzing data. Researchers begin with an open-ended research question and gather data through observations, interviews, and document analysis . They then use a process of coding and constant comparison to identify patterns, categories, and relationships in the data. This iterative process continues until a comprehensive, grounded theory emerges that is based in the recollected data and explains the topic of interest.

Ethnography : Ethnographic research involves the in-depth study of a specific cultural or social group, focusing on understanding its members' behaviors, beliefs, and interactions. Researchers immerse themselves in the group's environment, often for extended periods, to observe and participate in daily activities. They can collect data through field notes, interviews, and document analysis, aiming to provide a holistic and nuanced understanding of the group's cultural practices and social dynamics.

Case study : A case study is an in-depth examination of a specific instance, event, organization, or individual within its real-life context. Researchers use multiple sources of data, such as interviews, observations, documents, and artifacts to build a rich, detailed understanding of the case. Case study research can be used to explore complex phenomena, generate new hypotheses , or evaluate the effectiveness of interventions or policies.

What are the purposes of qualitative research?

Qualitative research presents outcomes that emerge from the process of collecting and analyzing qualitative data. These outcomes often involve generating new theories, developing or challenging existing theories, and proposing practical implications based on actionable insights. The products of qualitative research contribute to a deeper understanding of human experiences, social phenomena, and cultural contexts. Qualitative research can also be a powerful complement to quantitative research.

Generating new theory : One of the primary goals of qualitative research is to develop new theories or conceptual frameworks that help explain previously unexplored or poorly understood phenomena. By conducting in-depth investigations and analyzing rich data, researchers can identify patterns, relationships, and underlying structures that form the basis of novel theoretical insights.

Developing or challenging existing theory : Qualitative research can also contribute to the refinement or expansion of existing theories by providing new perspectives, revealing previously unnoticed complexities, or highlighting areas where current theories may be insufficient or inaccurate. By examining the nuances and context-specific details of a phenomenon, researchers can generate evidence that supports, contradicts, or modifies existing theoretical frameworks .

Proposing practical implications : Qualitative research often yields actionable insights that can inform policy, practice, and intervention strategies. By delving into the lived experiences of individuals and communities, researchers can identify factors that contribute to or hinder the effectiveness of certain approaches, uncovering opportunities for improvement or innovation. The insights gained from qualitative research can be used to design targeted interventions, develop context-sensitive policies, or inform the professional practices of practitioners in various fields.

Enhancing understanding and empathy : Qualitative research promotes a deeper understanding of human experiences, emotions, and perspectives, fostering empathy and cultural sensitivity. By engaging with diverse voices and experiences, researchers can develop a more nuanced appreciation of the complexities of human behavior and social dynamics, ultimately contributing to more compassionate and inclusive societies.

Informing mixed-methods research : The products of qualitative research can also be used in conjunction with quantitative research, as part of a mixed-methods approach . Qualitative findings can help generate hypotheses for further testing, inform the development of survey instruments , or provide context and explanation for quantitative results. Combining the strengths of both approaches can lead to more robust and comprehensive understanding of complex research questions .

What are some examples of qualitative research?

Qualitative research can be conducted across various scientific fields, exploring diverse topics and phenomena. Here are six brief descriptions of qualitative studies that can provide researchers with ideas for their own projects:

Exploring the lived experiences of refugees : A phenomenological study could be conducted to investigate the lived experiences and coping strategies of refugees in a specific host country. By conducting in-depth interviews with refugees and analyzing their narratives , researchers can gain insights into the challenges they face, their resilience, and the factors that contribute to successful integration into their new communities.

Understanding the dynamics of online communities : An ethnographic study could be designed to explore the culture and social dynamics of a particular online community or social media platform. By immersing themselves in the virtual environment, researchers can observe patterns of interaction, communication styles, and shared values among community members, providing a nuanced understanding of the factors that influence online behavior and group dynamics.

Examining the impact of gentrification on local communities : A case study could be conducted to explore the impact of gentrification on a specific neighborhood or community. Researchers can collect data through interviews with residents, local business owners, and policymakers, as well as analyzing relevant documents and media coverage. The study can shed light on the effects of gentrification on housing affordability, social cohesion, and cultural identity, informing policy and urban planning decisions.

Studying the career trajectories of women in STEM fields : A narrative research project can be designed to investigate the career experiences and pathways of women in science, technology, engineering, and mathematics (STEM) fields. By collecting and analyzing the stories of women at various career stages, researchers can identify factors that contribute to their success, as well as barriers and challenges they face in male-dominated fields.

Evaluating the effectiveness of a mental health intervention : A qualitative study can be conducted to evaluate the effectiveness of a specific mental health intervention, such as a mindfulness-based program for reducing stress and anxiety. Researchers can gather data through interviews and focus groups with program participants, exploring their experiences, perceived benefits, and suggestions for improvement. The findings can provide valuable insights for refining the intervention and informing future mental health initiatives.

Investigating the role of social media in political activism : A qualitative study using document analysis and visual methods could explore the role of social media in shaping political activism and public opinion during a specific social movement or election campaign. By analyzing user-generated content, such as tweets, posts, images, and videos, researchers can examine patterns of communication, mobilization, and discourse, shedding light on the ways in which social media influences political engagement and democratic processes.

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What are common qualitative research methods?

Qualitative research methods are techniques used to collect, analyze, and interpret data in qualitative studies. These methods prioritize the exploration of meaning, context, and individual experiences. Common qualitative research methods include interviews, focus groups, observations, document analysis, and visual methods.

Interviews : Interviews involve one-on-one conversations between the researcher and the participant. They can be structured, semi-structured, or unstructured, depending on the level of guidance provided by the researcher. Interviews allow for in-depth exploration of participants' experiences, thoughts, and feelings, providing rich and detailed data for analysis.

Focus groups : Focus groups are group discussions facilitated by a researcher, usually consisting of 6-12 participants. They enable researchers to explore participants' collective perspectives, opinions, and experiences in a social setting. Focus groups can generate insights into group dynamics, cultural norms, and shared understandings, as participants interact and respond to each other's viewpoints.

Observations : Observational research involves the systematic collection of data through watching and recording people, events, or behaviors in their natural settings. Researchers can take on different roles, such as participant-observer or non-participant observer, depending on their level of involvement. Observations provide valuable information about context, social interactions, and non-verbal communication, which can help researchers understand the nuances of a particular phenomenon.

Document analysis : Document analysis is the examination of written or visual materials, such as letters, diaries, reports, newspaper articles, photographs, or videos. This method can provide insights into historical or cultural contexts, individual perspectives, and organizational processes. Researchers may use content analysis, discourse analysis, or other analytic techniques to interpret the meaning and significance of these documents.

Visual methods : Visual methods involve the use of visual materials, such as photographs, drawings, or videos, to explore and represent participants' experiences and perspectives. Techniques like photo elicitation, where participants are asked to take or select photographs related to the research topic and discuss their meaning, can encourage reflection and stimulate discussion. Visual methods can be particularly useful in capturing non-verbal information, promoting cross-cultural understanding, and engaging with hard-to-reach populations.

Importance of qualitative research and qualitative data analysis

Qualitative research and qualitative data analysis play a vital role in advancing knowledge, informing policies, and improving practices in various fields, such as education, healthcare, business, and social work. The unique insights and in-depth understanding generated through qualitative research can accomplish a number of goals.

Inform decision-making

Qualitative research helps decision-makers better understand the needs, preferences, and concerns of different stakeholders, such as customers, employees, or community members. This can lead to more effective and tailored policies, programs, or interventions that address real-world challenges.

Enhance innovation

By exploring people's experiences, motivations, and aspirations, qualitative research can uncover new ideas, opportunities, and trends that can drive innovation in products, services, or processes.

Foster empathy and cultural competence

Qualitative research can increase our empathy and understanding of diverse populations, cultures, and contexts. This can enhance our ability to communicate, collaborate, and work effectively with people from different backgrounds.

Complement quantitative research

Qualitative research can complement quantitative research by providing rich contextual information and in-depth insights into the underlying mechanisms, processes, or factors that may explain the patterns or relationships observed in quantitative data.

Facilitate social change

Qualitative research can give voice to marginalized or underrepresented groups, highlight social injustices or inequalities, and inspire actions and reforms that promote social change and well-being.

Challenges of conducting qualitative research

While qualitative research offers valuable insights and understanding of human experiences, it also presents some challenges that researchers must navigate. Acknowledging and addressing these challenges can help ensure the rigor, credibility, and relevance of qualitative research. In this section, we will discuss some common challenges that researchers may encounter when conducting qualitative research and offer suggestions on how to overcome them.

Subjectivity and bias

One of the primary challenges in qualitative research is managing subjectivity and potential biases that may arise from the researcher's personal beliefs, values, and experiences. Since qualitative research relies on the researcher's interpretation of the data , there is a risk that the researcher's subjectivity may influence the findings.

Researchers can minimize the impact of subjectivity and bias by maintaining reflexivity , or ongoing self-awareness and critical reflection on their role, assumptions, and influences in the research process. This may involve keeping a reflexive journal, engaging in peer debriefing , and discussing potential biases with research participants during member checking .

Data collection and quality

Collecting high-quality data in qualitative research can be challenging, particularly when dealing with sensitive topics, hard-to-reach populations, or complex social phenomena. Ensuring the trustworthiness of qualitative data collection is essential to producing credible and meaningful findings.

Researchers can enhance data quality by employing various strategies, such as purposive or theoretical sampling, triangulation of data sources, methods or researchers, and establishing rapport and trust with research participants.

Data analysis and interpretation

The analysis and interpretation of qualitative data can be a complex, time-consuming, and sometimes overwhelming process. Researchers must make sense of large amounts of diverse and unstructured data, while also ensuring the rigor, transparency, and consistency of their analysis.

Researchers can facilitate data analysis and interpretation by adopting systematic and well-established approaches, such as thematic analysis , grounded theory , or content analysis . Utilizing qualitative data analysis software , like ATLAS.ti, can also help manage and analyze data more efficiently and rigorously.

Qualitative research often involves exploring sensitive issues or working with vulnerable populations, which raises various ethical considerations , such as privacy, confidentiality , informed consent , and potential harm to participants.

Researchers should be familiar with the ethical guidelines and requirements of their discipline, institution, or funding agency, and should obtain ethical approval from relevant review boards or committees before conducting the research. Researchers should also maintain open communication with participants, respect their autonomy and dignity, and protect their well-being throughout the research process.

Generalizability and transferability

Qualitative research typically focuses on in-depth exploration of specific cases or contexts, which may limit the generalizability or transferability of the findings to other settings or populations. However, the goal of qualitative research is not to produce statistically generalizable results but rather to provide a rich, contextualized, and nuanced understanding of the phenomena under study.

Researchers can enhance the transferability of their findings by providing rich descriptions of the research context, participants, and methods, and by discussing the potential applicability or relevance of the findings to other settings or populations. Readers can then assess the transferability of the findings based on the similarity of their own context to the one described in the research.

By addressing these challenges and adopting rigorous and transparent research practices, qualitative researchers can contribute valuable and meaningful insights that advance knowledge, inform policies, and improve practices in various fields and contexts.

Qualitative and quantitative research approaches are often seen as distinct and even opposing paradigms. However, these two approaches can be complementary, providing a more comprehensive understanding of complex social phenomena when combined. In this section, we will discuss how qualitative research can complement quantitative research and enhance the overall depth, breadth, and rigor of research findings.

Exploring and understanding context

Quantitative research excels at identifying patterns, trends, and relationships among variables using numerical data, while qualitative research provides rich and nuanced insights into the context, meaning, and underlying processes that shape these patterns or relationships. By integrating qualitative research with quantitative research, researchers can explore not only the "what" or "how many" but also the "why" and "how" of the phenomena under study.

For example, a quantitative study in health services research might reveal a correlation between social media usage and mental health outcomes, while a qualitative study could help explain the reasons behind this correlation by exploring users' experiences, motivations, and perceptions of social media. Qualitative and quantitative data in this case complement each other to contribute to a more robust theory and more informed policy implications.

Generating and refining hypotheses

Qualitative research can inform the development and refinement of hypotheses for quantitative research by identifying new concepts, variables, or relationships that emerge from the data. This can lead to more focused, relevant, and innovative quantitative research questions and hypotheses. For instance, a qualitative study on employee motivation might uncover the importance of meaningful work and supportive relationships with supervisors as key factors influencing motivation. These findings could then be incorporated into a quantitative study to test the relationships between these factors and employee motivation.

Validating and triangulating findings

Combining qualitative and quantitative research methods can enhance the credibility and trustworthiness of research findings through validation and triangulation. Validation involves comparing the findings from different methods to assess their consistency and convergence, while triangulation involves using multiple methods, data sources, or researchers to gain a more comprehensive understanding of the phenomena under study.

For example, a researcher might use both quantitative surveys and qualitative interviews in a mixed methods research design to assess the effectiveness of a health intervention. If both methods yield similar findings, this can increase confidence in the results. If the findings differ, the researcher can further investigate the reasons for these discrepancies and refine their understanding of the intervention's effectiveness.

Enhancing communication and dissemination

Qualitative research can enhance the communication and dissemination of quantitative research findings by providing vivid narratives, case studies, or examples that bring the data to life and make it more accessible and engaging for diverse audiences, such as policymakers, practitioners, or the public.

For example, a quantitative study on the impact of a community-based program might report the percentage of participants who experienced improvements in various outcomes. By adding qualitative data, such as quotes or stories from participants, the researcher can illustrate the human impact of the program and make the findings more compelling and relatable.

In conclusion, qualitative research can complement and enrich quantitative research in various ways, leading to a more comprehensive, contextualized, and rigorous understanding of complex social phenomena. By integrating qualitative and quantitative research methods, researchers can harness the strengths of both approaches to produce more robust, relevant, and impactful findings that inform theory, policy, and practice.

Qualitative research findings are typically reported in various formats, depending on the audience, purpose, and context of the research. Common ways to report qualitative research include dissertations, journal articles, market research reports, and needs assessment reports. Each format has its own structure and emphasis, tailored to meet the expectations and requirements of its target audience.

Dissertations and theses : Doctoral,master's, or bachelor students often conduct qualitative research as part of their dissertation or thesis projects. In this format, researchers provide a comprehensive account of their research questions , methodology, data collection , data analysis , and findings. Dissertations are expected to make a significant contribution to the existing body of knowledge and demonstrate the researcher's mastery of the subject matter.

Journal articles : Researchers frequently disseminate their qualitative research findings through articles published in academic journals . These articles are typically structured in a way that includes an introduction, literature review, methodology, results, and discussion sections. In addition, articles often undergo a peer-review process before being published in the academic journal. Journal articles focus on communicating the study's purpose, methods, and findings in a concise and coherent manner, providing enough detail for other researchers to evaluate the rigor and validity of the research so that they can cite the article and build on it in their own studies.

Market research reports : Market research often employs qualitative methods to gather insights into consumer behavior, preferences, and attitudes. Market research reports present the findings of these studies to clients, typically businesses or organizations interested in understanding their target audience or market trends. These reports focus on providing actionable insights and recommendations based on the qualitative data, helping clients make informed decisions and develop effective marketing strategies.

Needs assessment reports : Needs assessment is a process used to identify gaps or areas of improvement in a specific context, such as healthcare, education, or social services. Qualitative research methods can be used to collect data on the needs, challenges, and experiences of the target population. Needs assessment reports present the findings of this research, highlighting the identified needs and providing recommendations for addressing them. These reports are used by organizations and policymakers to inform the development and implementation of targeted interventions and policies.

Other formats : In addition to the aforementioned formats, qualitative research findings can also be reported in conference presentations, white papers, policy briefs, blog posts, or multimedia presentations. The choice of format depends on the target audience and the intended purpose of the research, as well as the researcher's preferences and resources. Regardless of the format, it is important for researchers to present their findings in a clear, accurate, and engaging manner, ensuring that their work is accessible and relevant to their audience.

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19 Advantages and Disadvantages of Qualitative Research

Qualitative research is a method that involves collecting and analyzing non-numerical data to understand social phenomena.

This approach allows researchers to explore and gain in-depth insights into complex issues that cannot be easily measured or quantified.

However, like any research method, there are both advantages and disadvantages associated with qualitative research.

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Advantages of Qualitative Research

• Rich and In-Depth Data : Qualitative research provides rich and detailed data, allowing researchers to explore complex social phenomena, experiences, and contexts in depth.
• Contextual Understanding : It emphasizes the importance of context, enabling researchers to understand the social, cultural, and environmental factors that influence behavior and perceptions.
• Flexibility : Qualitative research is flexible and adaptable, allowing researchers to change their research focus, questions, or methods based on emerging insights during the study.
• Exploratory Nature : It is well-suited for generating hypotheses and theories by exploring new or under-researched topics. Researchers can uncover unexpected findings.
• Participant Perspectives : Qualitative research prioritizes the voices and perspectives of participants, providing insight into their lived experiences, beliefs, and worldviews.
• Holistic Understanding : Researchers can capture the complexity of human behavior and experiences, including emotions, motivations, and interpersonal dynamics.
• Useful for Small Sample Sizes : Qualitative research can be effective with small sample sizes when a deep understanding of a specific group or context is required.
• Complementary to Quantitative Research : It can complement quantitative research by providing qualitative insights that help explain or interpret numerical data.
• Validity and Authenticity : Qualitative research often focuses on establishing the validity and authenticity of findings, emphasizing the importance of rigor and transparency in the research process.

Disadvantages of Qualitative Research

• Subjectivity : Qualitative research is subjective in nature, and findings can be influenced by the researcher's biases, interpretations, and values.
• Limited Generalizability : The small sample sizes and context-specific nature of qualitative research may limit the generalizability of findings to broader populations or contexts.
• Time-Consuming : Qualitative research can be time-consuming, as it involves data collection methods such as interviews, participant observation, and content analysis, which require significant time and effort.
• Data Analysis Complexity : Analyzing qualitative data can be complex, requiring skills in coding, thematic analysis, and interpretation. It can be challenging to ensure intercoder reliability.
• Resource-Intensive : Qualitative research may require more resources than quantitative research, particularly when conducting in-depth interviews or ethnographic fieldwork.
• Ethical Considerations : Researchers must navigate ethical considerations, such as informed consent, confidentiality, and ensuring the well-being of participants, which can be complex in qualitative studies.
• Interpretation Challenges : Qualitative research findings are open to interpretation, and different researchers may draw different conclusions from the same data.
• Limited Quantification : Qualitative research does not produce numerical data, which can make it challenging to quantify and compare findings across studies.
• Potential for Researcher Influence : Researchers may inadvertently influence participant responses or behaviors through their presence or questioning, leading to potential bias.
• Difficulty in Sampling : Choosing a representative sample can be challenging in qualitative research, as the emphasis is on depth rather than breadth.

In practice, the choice between qualitative and quantitative research methods depends on the research objectives, questions, and the nature of the phenomenon being studied. 

Often, researchers use mixed methods, combining both qualitative and quantitative approaches, to gain a more comprehensive understanding of a research topic.

Conclusion of Pros and Cons of Qualitative Research Method

In conclusion, qualitative research offers several advantages, such as capturing rich, detailed data, providing flexibility in data collection methods, and allowing for exploratory studiesfrom market research, focus group, interviews with follow-up questions and open-ended questions by the interviewer.

However, it also has limitations, including small sample sizes, subjective data analysis, resource-intensiveness, and challenges in establishing validity and reliability, as in contrast from quantitative methods with quantitative data. 

Therefore, researchers should consider both the strengths and weaknesses of qualitative research and advantages and disadvantages of quantitative research approach when selecting the appropriate type of research methodology for their study. 

By understanding these advantages and disadvantages, researchers can make informed decisions and maximize the potential of qualitative research in generating meaningful insights.

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The Guide to Qualitative Research: Methods, Types, and Examples

Daniel Ndukwu

Qualitative research is an important part of any project. It gives you insights that quantitative research can’t hope to match.

To receive the benefits that qualitative research can bring to the table, it’s essential to do it properly. That’s easier said than done.

This in-depth guide will give you a better understanding of qualitative research, how it can be used, the methods for carrying it out, and its limitations.

Table of Contents

What is qualitative research?

Qualitative research is the process of gathering non-numerical data that helps you understand the deeper meaning behind a topic. It can help you decipher the motivations, thought processes, and opinions of people who are experiencing the problem or situation.

For example, an entrepreneur wants to start a shoe brand targeted at a younger demographic. They know younger people spend more money on name-brand basketball shoes. Qualitative research will help them understand the motivations and thought processes behind why those shoes are appealing.

With the help of capable marketing teams and mentors , they can use this data to craft communication plans that will resonate with their audience.

The data gained helps develop better hypotheses, confirm or disprove theories, and informs quantitative research studies. There are multiple quantitative research methods that are ideal for certain situations and this guide delves deeper into those data collection processes .

Keep in mind that qualitative research gives you descriptive data that must then be analyzed and interpreted. This process is much more difficult than a quantitative analysis which is why many organizations opt to skip it entirely.

What’s the purpose of qualitative research?

Qualitative research was popularized by psychologists and sociologists who were unhappy with the scientific method in use.

In the legal industry, understanding qualitative insights can significantly enhance strategies for law firm SEO , helping firms to better align their services with client needs.

Traditional scientific methods were only able to tell what was happening but failed to understand why.

Qualitative research, on the other hand, seeks to find the deeper meaning behind actions and situations. For example, you may realize a relationship between two things exist like poverty and lower literacy rates. It’s qualitative data that can help you understand why this relationship exists.

In the diverse landscape of qualitative research its application extends beyond conventional fields offering valuable insights in specialized areas take for instance the legal sector where understanding nuanced human experiences is crucial a cerebral palsy lawyer leveraging qualitative research delves deeper into the multifaceted experiences of individuals and families impacted by cerebral palsy this methodical approach aids in comprehending the broader social emotional and economic ramifications thereby guiding more compassionate and effective legal representation.

When should qualitative research be used

There’s a simple stress test to understand whether qualitative research or quantitative research should be used. Ask yourself the following questions:

• Do you have a clear understanding of the problem? If not, use it;
• Do you understand the reasons that contribute to the problem or situation? If not, use it;
• Are the attitudes of the people who experience or display the behavior clear to you? If not, use it;
• Have you already analyzed first-person accounts or research related to the topic? If not, use it.

Qualitative research vs quantitative research

There’s a big difference between the two types of research. For the most part, qualitative research is exploratory. You’re trying to figure out the reasons behind situations and form a clearer hypothesis. Those hypotheses are then tested with further qualitative or quantitative research.

Quantitative research focuses on collecting numerical data that can be used to quantify the magnitude of a situation. The data gained can be organized and statistical analysis carried out.

For example, qualitative research may tell you that people in lower-income areas drop out of school and have lower literacy rates. Quantitative research can tell you the percentage of people that end up dropping out of school within a given population.

As you can see, they work together to give you a holistic understanding of a market or problem.

Qualitative research data collection Methods

We’ve written an in-depth guide about the data collection methods you can use for both quantitative and qualitative research. This section will give you a quick overview of the data collection methods available.

The first data collection method and the most common are surveys. More specifically, surveys with open-ended questions . These give your respondents the opportunity to explain things with their own words.

Another benefit of surveys, especially with online survey tools like KyLeads is that you can quickly distribute your survey to a huge audience. This can cut down on your costs while still giving you the insights you need.

There are two problems with surveys. The first one is that you’re unable to ask relevant clarifying questions. Some of the data you collect may be unclear and lead you to the wrong conclusions.

The second problem is that respondents, unless adequately incentivized, may abandon the survey or give inadequate answers. This is known as survey fatigue and is a challenge when you have longer surveys. You can mitigate the effects by placing the most important questions first.

Focus groups

A focus group involves 3 – 10 people and a specialized moderator. Groups larger than ten should be broken up and those fewer than three won’t be able to deliver the insights you need.

The benefits of a focus group come from the ability to recreate specific situations or test scenarios before they happen. To get the most out of the focus group, it’s important to carefully select the participants based on their demographic and psychographic profiles .

The advantage of a focus group is that the information is insightful and comes from multiple people within your target market. The disadvantage is that groupthink can be a real problem.

You can prevent groupthink by having people write their opinions down before voicing them and even assigning one person to play devil’s advocate. Don’t discourage divergent opinions or perspectives.

Another challenge is that focus groups are expensive compared to other methods listed here. The participants are usually paid for their time and it requires things like meeting space and specialized staff.

Interviews are an old staple of qualitative research and are almost as common as surveys. Interviews can be conducted over the phone, in person, or even through a video conference. The important part is that they’re real-time and you can ask clarifying questions so you don’t draw the wrong conclusions.

There are multiple types of interviews. You can use structured interviews, unstructured interviews, or semi-structured interviews. Keep in mind that the structured interview may not be the best option if you’re doing exploratory =research.

Observation/immersion

This is the process of observing the ongoing behavior of an individual or group. It’s most prevalent in social sciences and marketing applications. This data collection method is the most passive and may not be ideal when doing initial exploratory research. You may be drawing conclusions on incomplete information.

There is an option of participating actively in what you’re observing. Keep in mind that this is frowned upon because the researcher may accidentally introduce biases. The biggest disadvantage is that some things simply can’t be observed by a researcher without interaction.

Try to use team collaboration to cut down on the biases that will be introduced. Compare notes and, as much as possible, look at things objectively. A teammate is invaluable for this kind of exercise.

Pros and cons of qualitative research

Qualitative research is powerful and has many benefits but it also has multiple disadvantages you should be aware of before jumping in.

• Get a deep understanding of the behaviors and attitudes of your target group
• You can get those insights from smaller samples sizes
• As long as you choose the right aspects to focus on and groups to work with, the insights can have much wider applications.
• Helps reduce biases because you’re doing exploratory research to get a baseline of information
• Most qualitative research is fluid meaning it adapts to the inputs to get a better understanding of the overall situation
• The data itself is subjective because it’s based on the experiences and biases of the respondents
• It’s more expensive than quantitative research
• It can take much longer to go through the more involved data collection methods like focus groups and interviews
• It’s more difficult to analyze and often requires people with specialized skills
• It’s nonnumerical in nature so statistical analysis cannot be applied to the data
• Results can’t be easily replicated following the scientific method

Qualitative research can be a powerful tool in your arsenal but there are many things to take into consideration. It tends to take longer to collect the data and analyze it. It’s also more expensive than most quantitative research methods.

Before diving into a qualitative research strategy, define clear goals, a timeframe for completion, and the kind of information you need to solve your problem.

Let me know what you think in the comments and don’t forget to share.

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Strengths and Limitations of Qualitative and Quantitative Research Methods

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Pros And Cons Of Qualitative Research vs Quantitative Research

Updated: May 27

In this post, you will learn the pros and cons of qualitative research vs quantitative research along with the differences and discover how both types of research can help and be applied to different business situations from ethnographic research to online surveys.

Table of contents:

The difference between qualitative and quantitative research

Pros and cons of qualitative research, pros and cons of quantitative research, so when can qualitative and quantitative research be applied, main types of qualitative research methods, key types of quantitative research methods.

The table above shows the advantages and disadvantages of using qualitative research and quantitative research.

[Disclosure: This post contains affiliate links, meaning we get a commission if you decide to make a purchase through these links at no additional cost to you.]

The main purpose of qualitative research is to explore the in-depth behaviour, opinions and attitudes of a small group of individuals in a more open manner instead of strictly following a set of questions. These tend to be face to face in-depth interviews or focus groups, where people can discuss the subject at hand openly with guidance from the interviewer.

While quantitative research is where results can be measured by numbers, which is easy to pick up and understand for those making the decisions . These quantified results are gathered by interviewing a large group of people (from 50 running into the 1000s) that is a reflection of the whole population you are targeting. Hence with a larger sample size, statistical analysis can be applied to provide better consumer insights such as predicted behaviour, best price levels and key drivers of buyers’ decisions.

Other than exploring attitudes and behaviour in detail, qualitative research is also used to test adverts, develop concepts and new products and build a picture of the market. Whereas quantitative research is used more for market measurements such as the number of people who use a product or service, awareness, consideration, preference, segmenting the market and how likely are they to buy.

Pros of qualitative research

Explores attitudes and behaviour in-depth.

Explores attitudes and behaviour in-depth as it’s more on a personal level and can delve in detail to gain a better understanding of their views and actions to generate or examine a hypothesis in more detail.

Encourages discussion

Encourages discussion as it’s more in an open manner instead of strictly following a fixed set of questions. In this way, it gives the research some context rather than just numbers.

Flexibility

Flexibility, where the interviewer can probe and is able to ask any questions around the subject matter, they feel is relevant or had not thought of before during the discussions and can even change the setting.

Cons of qualitative research

The sample size can be an issue.

The sample size can be an issue if you are taking the opinion of 5 people out of 300 of your customers or subscribers as a generalisation.

Bias in the sample selection

Bias in the sample selection, meaning the people you are selecting to take part in the qualitative research may all have a certain opinion of the subject matter rather than a group of people with mixed views, which is more valuable particularly if they are debating with opposing views during focus groups.

Lack of privacy

Lack of privacy, if you are covering sensitive topics then people taking part may not be comfortable in sharing their thoughts and opinions of the subject with others.

Whether you are using a skilled moderator or not

It is of vital importance; the moderator is skilled and experienced in managing the conversations of groups as well as being knowledgeable enough of the subject matter to ask relevant questions that may have not been thought of.

Pros of quantitative research

Larger sample sizes.

Larger sample sizes allowing for robust analysis of the results, so you are able to make more generalisations of your target audience.

Impartiality and accuracy of data

Impartiality and accuracy of the data as it based on the survey questions for screening, grouping and other hard number facts.

Faster and easier to run

Faster and easier to run particularly online and mobile surveys , where you can see the results in real time.

Data is anonymous

Data is anonymous especially with sensitive topics through self-completion exercises like online surveys.

Offers reliable and continuous information

Offers reliable and continuous information where you can repeat the survey again and again weekly, monthly, quarterly, yearly to gain consistent trend data to help you plan ahead or investigate and address issues.

Cons of quantitative research

Limited by the set answers on a survey.

Limited by the set answers on a survey, so you are unable to go beyond that in delving in more detail the behaviours, attitudes and reasons as you do with qualitative research. This is particularly true with self-completion surveys (online), where there is no interviewer probing you even if you include a couple of open-ended questions.

Research is not carried out in their normal environment

Research is not carried out in their normal environment, so can seem artificial and controlled. Answers given by participants are claimed and may not be their actual behaviour in real life.

Unable to follow-up any answers given following completion of survey

Unable to follow-up any answers given after they have completed the survey due to the anonymity of the participants. This is especially true for validity of the findings if the results are inconclusive. Although you can ask at the end of the survey if they would like to do a follow-up survey but not all participants may agree to do so.

Generally qualitative research is used for exploratory purposes to get a picture of what is going on or examining a hypothesis that can be tested later on. Although it can be used independently through a series of depth interviews and focus groups to explore concepts such as ideas for advertising or new products.

While with quantitative research you can gather measurable results that you can draw insights from and take action where needed like there is a drop in the number of visitors to your website page, which may be tackled through redesign of the webpage or promotions.

Read this post if you want run a survey - 5 Best Survey Maker Platforms To Consider Using

Qualitative and quantitative research is best utilised when they are combined and split into phases. For example, phase 1 could be exploratory research with qualitative research and then in phase 2 this is followed up with quantitative research to test the hypothesis that came up in the first phase. A post phase of qualitative research can be applied if there has been redesigns of the concept or to identify experiences after an event.

There are advantages in combining data and information from both methods where you can reap the benefits from the advantages that both methods have as well as countering the limitations through this hybrid approach. This is achieved through:

Enrichment by identifying issues not found in quantitative research

Examination via generating a hypothesis that can be tested.

Explanation through bringing the results to life by understanding any surprising results from the quantitative data.

Below are the most popular types of research within qualitative and quantitative research that you can use to achieve your objectives and answer questions you may have.

The three key tools of qualitative research are:

Focus groups – this is where a group of 5 to 10 people at a set location or on a private online forum discuss a topic of interest who have been pre-selected via screening to take part in. These group discussions are led by a person moderating the group.

Depth interviews – are one to one interviews that are either conducted face to face, over the phone or through video conferencing apps like Skype and Zoom. This allows the participant to talk at length in a more open manner and is especially good for sensitive topics. The interviewer will use a discussion guide to follow a relatively unstructured list of topics.

Ethnography and observation – are a fly on the wall way of listening and observing the behaviour of participants in certain real environments like shopping at a supermarket. Is great to capture the actual actions of participants rather than what they claim to do in a survey.

The 3 most popular methods of quantitative research:

Online surveys – is without a doubt the most popular type of research especially amongst consumer research as it’s quick, easy to do and relatively cheap compared to other methods. The great thing with online surveys is it easily accessible for everyone to take part in whether that’s on a laptop, mobile or tablet and can be on a website or survey links through social media and email. Plus, you can check out the results in real time.

If you are interested in creating a survey, quiz or online forms you can try JotForm which is a easy to use interactive platform to set up surveys from scratch or have customisable templates to get you started with.

Also there is free eBook available called Jotform for Beginners that you can download and will explain the different features available to save time and boost productivity with all kinds of online forms for apps, stores, pdf, tables and more.

Telephone interviews – due to advancements in technology this is now used more for business to business research and interviews tend to last between 15 to 30 minutes. The advantage of this method is you have an interviewer who can probe or clarify any answers to open ended questions.

Face to face interviews – these are normally conducted in specific situations like shopping malls, exhibitions and the high street. As it’s more time consuming, costly and higher a security risk for interviewers, makes it the least popular method to use.

Social listening - is a form of secondary research where you can track, listen and respond to mentions about a brand or key topic on social media and elsewhere on the web. You can read more about it in this post - 3 Social Listening Tools To Consider

If you want to find out more how market research can help you, check out the posts below:

Market Research Online Surveys In 6 Easy Steps

How To Do A Survey: Top 10 Tips

Market Research Online: Benefits, Methods & Tools

Conversational Forms: Discover What So Good About Them

Causal Research: Definition | Advantages | Examples | Components

Top 5 Website Survey Questions About Usability

Learn how to do market research for a new business

M arket Research Meaning 101

Discover the importance of market research

Examples of Market Research Projects

The Best Methods Of Market Research

Primary Research vs Secondary Research

Quota Sampling: What Is It & How To Do It

6 Key Benefits Of Advertising Research

6 Crucial Steps Of NPD Research

TOP 4 Types Of Market Segmentation

How To Design A Good Questionnaire

Monadic Testing: All You Need To Know

Concept Testing: Examples, Types, Costs, Benefits

10 Key Benefits Of Market Research

Market Research Examples For Businesses To Succeed

#qualitativevsquantitativeresearch #anparresearch

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Quantitative vs. Qualitative Research in Psychology

Anabelle Bernard Fournier is a researcher of sexual and reproductive health at the University of Victoria as well as a freelance writer on various health topics.

Emily is a board-certified science editor who has worked with top digital publishing brands like Voices for Biodiversity, Study.com, GoodTherapy, Vox, and Verywell.

• Key Differences

Quantitative Research Methods

Qualitative research methods.

• How They Relate

In psychology and other social sciences, researchers are faced with an unresolved question: Can we measure concepts like love or racism the same way we can measure temperature or the weight of a star? Social phenomena⁠—things that happen because of and through human behavior⁠—are especially difficult to grasp with typical scientific models.

At a Glance

Psychologists rely on quantitative and quantitative research to better understand human thought and behavior.

• Qualitative research involves collecting and evaluating non-numerical data in order to understand concepts or subjective opinions.
• Quantitative research involves collecting and evaluating numerical data. 

This article discusses what qualitative and quantitative research are, how they are different, and how they are used in psychology research.

Qualitative Research vs. Quantitative Research

In order to understand qualitative and quantitative psychology research, it can be helpful to look at the methods that are used and when each type is most appropriate.

Psychologists rely on a few methods to measure behavior, attitudes, and feelings. These include:

• Self-reports , like surveys or questionnaires
• Observation (often used in experiments or fieldwork)
• Implicit attitude tests that measure timing in responding to prompts

Most of these are quantitative methods. The result is a number that can be used to assess differences between groups.

However, most of these methods are static, inflexible (you can't change a question because a participant doesn't understand it), and provide a "what" answer rather than a "why" answer.

Sometimes, researchers are more interested in the "why" and the "how." That's where qualitative methods come in.

Qualitative research is about speaking to people directly and hearing their words. It is grounded in the philosophy that the social world is ultimately unmeasurable, that no measure is truly ever "objective," and that how humans make meaning is just as important as how much they score on a standardized test.

Used to develop theories

Takes a broad, complex approach

Answers "why" and "how" questions

Explores patterns and themes

Used to test theories

Takes a narrow, specific approach

Answers "what" questions

Explores statistical relationships

Quantitative methods have existed ever since people have been able to count things. But it is only with the positivist philosophy of Auguste Comte (which maintains that factual knowledge obtained by observation is trustworthy) that it became a "scientific method."

The scientific method follows this general process. A researcher must:

• Generate a theory or hypothesis (i.e., predict what might happen in an experiment) and determine the variables needed to answer their question
• Develop instruments to measure the phenomenon (such as a survey, a thermometer, etc.)
• Develop experiments to manipulate the variables
• Collect empirical (measured) data
• Analyze data

Quantitative methods are about measuring phenomena, not explaining them.

Quantitative research compares two groups of people. There are all sorts of variables you could measure, and many kinds of experiments to run using quantitative methods.

These comparisons are generally explained using graphs, pie charts, and other visual representations that give the researcher a sense of how the various data points relate to one another.

Basic Assumptions

Quantitative methods assume:

• That the world is measurable
• That humans can observe objectively
• That we can know things for certain about the world from observation

In some fields, these assumptions hold true. Whether you measure the size of the sun 2000 years ago or now, it will always be the same. But when it comes to human behavior, it is not so simple.

As decades of cultural and social research have shown, people behave differently (and even think differently) based on historical context, cultural context, social context, and even identity-based contexts like gender , social class, or sexual orientation .

Therefore, quantitative methods applied to human behavior (as used in psychology and some areas of sociology) should always be rooted in their particular context. In other words: there are no, or very few, human universals.

Statistical information is the primary form of quantitative data used in human and social quantitative research. Statistics provide lots of information about tendencies across large groups of people, but they can never describe every case or every experience. In other words, there are always outliers.

Correlation and Causation

A basic principle of statistics is that correlation is not causation. Researchers can only claim a cause-and-effect relationship under certain conditions:

• The study was a true experiment.
• The independent variable can be manipulated (for example, researchers cannot manipulate gender, but they can change the primer a study subject sees, such as a picture of nature or of a building).
• The dependent variable can be measured through a ratio or a scale.

So when you read a report that "gender was linked to" something (like a behavior or an attitude), remember that gender is NOT a cause of the behavior or attitude. There is an apparent relationship, but the true cause of the difference is hidden.

Pitfalls of Quantitative Research

Quantitative methods are one way to approach the measurement and understanding of human and social phenomena. But what's missing from this picture?

As noted above, statistics do not tell us about personal, individual experiences and meanings. While surveys can give a general idea, respondents have to choose between only a few responses. This can make it difficult to understand the subtleties of different experiences.

Quantitative methods can be helpful when making objective comparisons between groups or when looking for relationships between variables. They can be analyzed statistically, which can be helpful when looking for patterns and relationships.

Qualitative data are not made out of numbers but rather of descriptions, metaphors, symbols, quotes, analysis, concepts, and characteristics. This approach uses interviews, written texts, art, photos, and other materials to make sense of human experiences and to understand what these experiences mean to people.

While quantitative methods ask "what" and "how much," qualitative methods ask "why" and "how."

Qualitative methods are about describing and analyzing phenomena from a human perspective. There are many different philosophical views on qualitative methods, but in general, they agree that some questions are too complex or impossible to answer with standardized instruments.

These methods also accept that it is impossible to be completely objective in observing phenomena. Researchers have their own thoughts, attitudes, experiences, and beliefs, and these always color how people interpret results.

Qualitative Approaches

There are many different approaches to qualitative research, with their own philosophical bases. Different approaches are best for different kinds of projects. For example:

• Case studies and narrative studies are best for single individuals. These involve studying every aspect of a person's life in great depth.
• Phenomenology aims to explain experiences. This type of work aims to describe and explore different events as they are consciously and subjectively experienced.
• Grounded theory develops models and describes processes. This approach allows researchers to construct a theory based on data that is collected, analyzed, and compared to reach new discoveries.
• Ethnography describes cultural groups. In this approach, researchers immerse themselves in a community or group in order to observe behavior.

Qualitative researchers must be aware of several different methods and know each thoroughly enough to produce valuable research.

Some researchers specialize in a single method, but others specialize in a topic or content area and use many different methods to explore the topic, providing different information and a variety of points of view.

There is not a single model or method that can be used for every qualitative project. Depending on the research question, the people participating, and the kind of information they want to produce, researchers will choose the appropriate approach.

Interpretation

Qualitative research does not look into causal relationships between variables, but rather into themes, values, interpretations, and meanings. As a rule, then, qualitative research is not generalizable (cannot be applied to people outside the research participants).

The insights gained from qualitative research can extend to other groups with proper attention to specific historical and social contexts.

Relationship Between Qualitative and Quantitative Research

It might sound like quantitative and qualitative research do not play well together. They have different philosophies, different data, and different outputs. However, this could not be further from the truth.

These two general methods complement each other. By using both, researchers can gain a fuller, more comprehensive understanding of a phenomenon.

For example, a psychologist wanting to develop a new survey instrument about sexuality might and ask a few dozen people questions about their sexual experiences (this is qualitative research). This gives the researcher some information to begin developing questions for their survey (which is a quantitative method).

After the survey, the same or other researchers might want to dig deeper into issues brought up by its data. Follow-up questions like "how does it feel when...?" or "what does this mean to you?" or "how did you experience this?" can only be answered by qualitative research.

By using both quantitative and qualitative data, researchers have a more holistic, well-rounded understanding of a particular topic or phenomenon.

Qualitative and quantitative methods both play an important role in psychology. Where quantitative methods can help answer questions about what is happening in a group and to what degree, qualitative methods can dig deeper into the reasons behind why it is happening. By using both strategies, psychology researchers can learn more about human thought and behavior.

Gough B, Madill A. Subjectivity in psychological science: From problem to prospect . Psychol Methods . 2012;17(3):374-384. doi:10.1037/a0029313

Pearce T. “Science organized”: Positivism and the metaphysical club, 1865–1875 . J Hist Ideas . 2015;76(3):441-465.

Adams G. Context in person, person in context: A cultural psychology approach to social-personality psychology . In: Deaux K, Snyder M, eds. The Oxford Handbook of Personality and Social Psychology . Oxford University Press; 2012:182-208.

Brady HE. Causation and explanation in social science . In: Goodin RE, ed. The Oxford Handbook of Political Science. Oxford University Press; 2011. doi:10.1093/oxfordhb/9780199604456.013.0049

Chun Tie Y, Birks M, Francis K. Grounded theory research: A design framework for novice researchers .  SAGE Open Med . 2019;7:2050312118822927. doi:10.1177/2050312118822927

Reeves S, Peller J, Goldman J, Kitto S. Ethnography in qualitative educational research: AMEE Guide No. 80 . Medical Teacher . 2013;35(8):e1365-e1379. doi:10.3109/0142159X.2013.804977

Salkind NJ, ed. Encyclopedia of Research Design . Sage Publishing.

Shaughnessy JJ, Zechmeister EB, Zechmeister JS.  Research Methods in Psychology . McGraw Hill Education.

By Anabelle Bernard Fournier Anabelle Bernard Fournier is a researcher of sexual and reproductive health at the University of Victoria as well as a freelance writer on various health topics.

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Qualitative Research – Advantages & Disadvantages

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Qualitative research, as a unique methodology , facilitates the gathering of information while simultaneously investigating the rationale behind the provided data. This piece illuminates the applications of this form of research, its primary users, the strategies for qualitative data acquisition and analysis, along with the principal benefits and potential drawbacks associated with this research approach.

Inhaltsverzeichnis

• 1 Qualitative Research – In a Nutshell
• 2 Qualitative Research – Definition
• 3 Qualitative Research Methods
• 4 Qualitative Research: How to Analyze the Data?
• 5 Pros & cons

Qualitative Research – In a Nutshell

• Qualitative research collects complex data based on participants’ opinions and the reasons behind these opinions.
• It can be used in any field but is found most commonly in subjects like the social sciences.
• The sample sizes are generally smaller than in other forms of research.
• The most popular methods are interviews, focus groups, and ethnographic research.
• Data analysis generally divided into developing codes, identifying themes, and creating summaries.

Qualitative Research – Definition

Qualitative research involves gathering and then analyzing data that is recorded non-numerically, such as video, audio, or text. The data is used to understand complex concepts, experiences, and opinions. Qualitative research is used to develop new insights into problems or to generate new research ideas.

As such, qualitative research is the opposite of quantitative research . This latter form of research utilizes numerical data to search for patterns and perform statistical analysis.

Qualitative data can be used in any field, but it is most commonly employed by the humanities and social sciences. This research method is popular in subjects like anthropology, history, sociology, and so on.

Qualitative Research Methods

The most common types of qualitative research are interviews, focus groups, and ethnographic research.

1. Interviews Interviews are the most common form of qualitative research. They are generally conducted on a one-to-one basis and are purely conversational. During the interview, the interviewer aims to obtain detailed answers on specific topics from the research participant.

Interviews are an effective tool for gathering data on people’s beliefs and their motivations. Skilled researchers are capable of asking useful follow-up questions to gain more data on useful topics.

Interviews can be performed face-to-face, over the phone, or via a video chat application. They generally last anywhere from 30 minutes to over two hours. Face-to-face interviews grant the most opportunities for gathering data since they provide opportunities to gain extra information from things like body language.

2. Focus Groups A focus group involves gathering around six to ten people and asking them questions as a collective. Participants should be chosen based on their knowledge or experience with the research question.

Focus groups ask questions centered around ‘how’, ‘what’ and ‘why’. One of the advantages of these groups is that researchers can ask an initial question and then let the ensuing conversation between group members occur naturally.

Focus groups are one of the more difficult to organize qualitative research methods since they require a large number of people with similar experiences to be available at the same time. However, focus groups are an effective way of letting research participants explore concepts that are too complex for individuals to grasp effectively.

3. Ethnographic Research

Ethnographic research is the most in-depth form of qualitative research and involved studying people in their natural environment. Researchers aim to observe their audiences while remaining undetected by adapting to their audiences’ environments.

Instead of relying on people’s testimonies about their experiences, ethnographic research seeks to interpret these experiences directly as they occur. Studying audiences this way makes ethnographic research one of the slowest ways to collect data. A study of this type can require anything from a few days to a few years. Ethnographic research is also heavily dependent on the capabilities of the researcher to infer useful data from their observations.

Qualitative Research: How to Analyze the Data?

Qualitative data analysis can be carried out using these three steps:

1. Develop and Apply Codes. Codes can be thought of as categories of data. Every created code needs a meaningful title consisting of a word or short phrase. Events, behaviors, activities meanings, and more can all be assigned one of these three types of code.

Open coding. The initial sorting of all the raw data into some kind of order. Axial coding. Creating links between categories of codes. Selective coding. Connecting categories together in order to formulate a story.

2. Identify Themes, Patterns, and Relationships

There are no universal methods for identifying patterns in qualitative research data. However, there is a set of techniques for identifying common themes and relationships with reference to the previously created codes. These are the most popular techniques for interpreting qualitative data:

• Scanning the data for words or phrases that are commonly used during responses.
• Comparing results from primary data gathering sessions with results in secondary sources and analyzing the differences between the two sets.
• Scanning the data for words or phrases that were expected but did not appear. The lack of a discussion about an aspect also provides information.
• Comparing the primary research data and comparing it to phenomena from a different area using relevant metaphors and analogs.

3. Summarize the Data

The final step is connecting the research data to the hypotheses. Highlight major themes and trends by utilizing noteworthy quotations from the data as well as possible contradictions.

One of the key aspects of qualitative data is that there is no unified, formal approach to collecting and analyzing data. Each research project will require its own set of methods and techniques. The key lies in examining the unique requirements of each project and adjusting the research methodology accordingly.

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Pros & cons

Who uses qualitative research?

This type of research is used by people who seek subjective answers that will allow them to explore ideas. It is often used to explore the meaning behind quantitative data. Alternatively, qualitative data can provide direction before quantitative research is utilized.

What are the advantages of qualitative research?

Qualitative research focuses on gaining as much data as possible from a relatively small sample size. It is a more flexible approach than quantitative research since it enables participants to express themselves while providing data.

What are the main approaches of qualitative research?

The most common approaches to qualitative data gathering include action research, ethnography, grounded theory, narrative research, and phenomenological research.

How big should the sample size be?

Qualitative research studies seek between 20 and 60 participants. The research results are used to provide actionable direction and cannot be quantified.

How many questions should be asked?

The number of questions depends on the research format. When leading a focus group, there should be three to eight questions that guide the discussion.

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Qualitative vs Quantitative Research Methods & Data Analysis

Saul Mcleod, PhD

Editor-in-Chief for Simply Psychology

BSc (Hons) Psychology, MRes, PhD, University of Manchester

Saul Mcleod, PhD., is a qualified psychology teacher with over 18 years of experience in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.

Learn about our Editorial Process

Olivia Guy-Evans, MSc

Associate Editor for Simply Psychology

BSc (Hons) Psychology, MSc Psychology of Education

Olivia Guy-Evans is a writer and associate editor for Simply Psychology. She has previously worked in healthcare and educational sectors.

On This Page:

What is the difference between quantitative and qualitative?

The main difference between quantitative and qualitative research is the type of data they collect and analyze.

Quantitative research collects numerical data and analyzes it using statistical methods. The aim is to produce objective, empirical data that can be measured and expressed in numerical terms. Quantitative research is often used to test hypotheses, identify patterns, and make predictions.

Qualitative research , on the other hand, collects non-numerical data such as words, images, and sounds. The focus is on exploring subjective experiences, opinions, and attitudes, often through observation and interviews.

Qualitative research aims to produce rich and detailed descriptions of the phenomenon being studied, and to uncover new insights and meanings.

Quantitative data is information about quantities, and therefore numbers, and qualitative data is descriptive, and regards phenomenon which can be observed but not measured, such as language.

What Is Qualitative Research?

Qualitative research is the process of collecting, analyzing, and interpreting non-numerical data, such as language. Qualitative research can be used to understand how an individual subjectively perceives and gives meaning to their social reality.

Qualitative data is non-numerical data, such as text, video, photographs, or audio recordings. This type of data can be collected using diary accounts or in-depth interviews and analyzed using grounded theory or thematic analysis.

Qualitative research is multimethod in focus, involving an interpretive, naturalistic approach to its subject matter. This means that qualitative researchers study things in their natural settings, attempting to make sense of, or interpret, phenomena in terms of the meanings people bring to them. Denzin and Lincoln (1994, p. 2)

Interest in qualitative data came about as the result of the dissatisfaction of some psychologists (e.g., Carl Rogers) with the scientific study of psychologists such as behaviorists (e.g., Skinner ).

Since psychologists study people, the traditional approach to science is not seen as an appropriate way of carrying out research since it fails to capture the totality of human experience and the essence of being human.  Exploring participants’ experiences is known as a phenomenological approach (re: Humanism ).

Qualitative research is primarily concerned with meaning, subjectivity, and lived experience. The goal is to understand the quality and texture of people’s experiences, how they make sense of them, and the implications for their lives.

Qualitative research aims to understand the social reality of individuals, groups, and cultures as nearly as possible as participants feel or live it. Thus, people and groups are studied in their natural setting.

Some examples of qualitative research questions are provided, such as what an experience feels like, how people talk about something, how they make sense of an experience, and how events unfold for people.

Research following a qualitative approach is exploratory and seeks to explain ‘how’ and ‘why’ a particular phenomenon, or behavior, operates as it does in a particular context. It can be used to generate hypotheses and theories from the data.

Qualitative Methods

There are different types of qualitative research methods, including diary accounts, in-depth interviews , documents, focus groups , case study research , and ethnography.

The results of qualitative methods provide a deep understanding of how people perceive their social realities and in consequence, how they act within the social world.

The researcher has several methods for collecting empirical materials, ranging from the interview to direct observation, to the analysis of artifacts, documents, and cultural records, to the use of visual materials or personal experience. Denzin and Lincoln (1994, p. 14)

Here are some examples of qualitative data:

Interview transcripts : Verbatim records of what participants said during an interview or focus group. They allow researchers to identify common themes and patterns, and draw conclusions based on the data. Interview transcripts can also be useful in providing direct quotes and examples to support research findings.

Observations : The researcher typically takes detailed notes on what they observe, including any contextual information, nonverbal cues, or other relevant details. The resulting observational data can be analyzed to gain insights into social phenomena, such as human behavior, social interactions, and cultural practices.

Unstructured interviews : generate qualitative data through the use of open questions.  This allows the respondent to talk in some depth, choosing their own words.  This helps the researcher develop a real sense of a person’s understanding of a situation.

Diaries or journals : Written accounts of personal experiences or reflections.

Notice that qualitative data could be much more than just words or text. Photographs, videos, sound recordings, and so on, can be considered qualitative data. Visual data can be used to understand behaviors, environments, and social interactions.

Qualitative Data Analysis

Qualitative research is endlessly creative and interpretive. The researcher does not just leave the field with mountains of empirical data and then easily write up his or her findings.

Qualitative interpretations are constructed, and various techniques can be used to make sense of the data, such as content analysis, grounded theory (Glaser & Strauss, 1967), thematic analysis (Braun & Clarke, 2006), or discourse analysis .

For example, thematic analysis is a qualitative approach that involves identifying implicit or explicit ideas within the data. Themes will often emerge once the data has been coded .

Key Features

• Events can be understood adequately only if they are seen in context. Therefore, a qualitative researcher immerses her/himself in the field, in natural surroundings. The contexts of inquiry are not contrived; they are natural. Nothing is predefined or taken for granted.
• Qualitative researchers want those who are studied to speak for themselves, to provide their perspectives in words and other actions. Therefore, qualitative research is an interactive process in which the persons studied teach the researcher about their lives.
• The qualitative researcher is an integral part of the data; without the active participation of the researcher, no data exists.
• The study’s design evolves during the research and can be adjusted or changed as it progresses. For the qualitative researcher, there is no single reality. It is subjective and exists only in reference to the observer.
• The theory is data-driven and emerges as part of the research process, evolving from the data as they are collected.

Limitations of Qualitative Research

• Because of the time and costs involved, qualitative designs do not generally draw samples from large-scale data sets.
• The problem of adequate validity or reliability is a major criticism. Because of the subjective nature of qualitative data and its origin in single contexts, it is difficult to apply conventional standards of reliability and validity. For example, because of the central role played by the researcher in the generation of data, it is not possible to replicate qualitative studies.
• Also, contexts, situations, events, conditions, and interactions cannot be replicated to any extent, nor can generalizations be made to a wider context than the one studied with confidence.
• The time required for data collection, analysis, and interpretation is lengthy. Analysis of qualitative data is difficult, and expert knowledge of an area is necessary to interpret qualitative data. Great care must be taken when doing so, for example, looking for mental illness symptoms.

Advantages of Qualitative Research

• Because of close researcher involvement, the researcher gains an insider’s view of the field. This allows the researcher to find issues that are often missed (such as subtleties and complexities) by the scientific, more positivistic inquiries.
• Qualitative descriptions can be important in suggesting possible relationships, causes, effects, and dynamic processes.
• Qualitative analysis allows for ambiguities/contradictions in the data, which reflect social reality (Denscombe, 2010).
• Qualitative research uses a descriptive, narrative style; this research might be of particular benefit to the practitioner as she or he could turn to qualitative reports to examine forms of knowledge that might otherwise be unavailable, thereby gaining new insight.

What Is Quantitative Research?

Quantitative research involves the process of objectively collecting and analyzing numerical data to describe, predict, or control variables of interest.

The goals of quantitative research are to test causal relationships between variables , make predictions, and generalize results to wider populations.

Quantitative researchers aim to establish general laws of behavior and phenomenon across different settings/contexts. Research is used to test a theory and ultimately support or reject it.

Quantitative Methods

Experiments typically yield quantitative data, as they are concerned with measuring things.  However, other research methods, such as controlled observations and questionnaires , can produce both quantitative information.

For example, a rating scale or closed questions on a questionnaire would generate quantitative data as these produce either numerical data or data that can be put into categories (e.g., “yes,” “no” answers).

Experimental methods limit how research participants react to and express appropriate social behavior.

Findings are, therefore, likely to be context-bound and simply a reflection of the assumptions that the researcher brings to the investigation.

There are numerous examples of quantitative data in psychological research, including mental health. Here are a few examples:

Another example is the Experience in Close Relationships Scale (ECR), a self-report questionnaire widely used to assess adult attachment styles .

The ECR provides quantitative data that can be used to assess attachment styles and predict relationship outcomes.

Neuroimaging data : Neuroimaging techniques, such as MRI and fMRI, provide quantitative data on brain structure and function.

This data can be analyzed to identify brain regions involved in specific mental processes or disorders.

For example, the Beck Depression Inventory (BDI) is a clinician-administered questionnaire widely used to assess the severity of depressive symptoms in individuals.

The BDI consists of 21 questions, each scored on a scale of 0 to 3, with higher scores indicating more severe depressive symptoms. 

Quantitative Data Analysis

Statistics help us turn quantitative data into useful information to help with decision-making. We can use statistics to summarize our data, describing patterns, relationships, and connections. Statistics can be descriptive or inferential.

Descriptive statistics help us to summarize our data. In contrast, inferential statistics are used to identify statistically significant differences between groups of data (such as intervention and control groups in a randomized control study).

• Quantitative researchers try to control extraneous variables by conducting their studies in the lab.
• The research aims for objectivity (i.e., without bias) and is separated from the data.
• The design of the study is determined before it begins.
• For the quantitative researcher, the reality is objective, exists separately from the researcher, and can be seen by anyone.
• Research is used to test a theory and ultimately support or reject it.

Limitations of Quantitative Research

• Context: Quantitative experiments do not take place in natural settings. In addition, they do not allow participants to explain their choices or the meaning of the questions they may have for those participants (Carr, 1994).
• Researcher expertise: Poor knowledge of the application of statistical analysis may negatively affect analysis and subsequent interpretation (Black, 1999).
• Variability of data quantity: Large sample sizes are needed for more accurate analysis. Small-scale quantitative studies may be less reliable because of the low quantity of data (Denscombe, 2010). This also affects the ability to generalize study findings to wider populations.
• Confirmation bias: The researcher might miss observing phenomena because of focus on theory or hypothesis testing rather than on the theory of hypothesis generation.

Advantages of Quantitative Research

• Scientific objectivity: Quantitative data can be interpreted with statistical analysis, and since statistics are based on the principles of mathematics, the quantitative approach is viewed as scientifically objective and rational (Carr, 1994; Denscombe, 2010).
• Useful for testing and validating already constructed theories.
• Rapid analysis: Sophisticated software removes much of the need for prolonged data analysis, especially with large volumes of data involved (Antonius, 2003).
• Replication: Quantitative data is based on measured values and can be checked by others because numerical data is less open to ambiguities of interpretation.
• Hypotheses can also be tested because of statistical analysis (Antonius, 2003).

Antonius, R. (2003). Interpreting quantitative data with SPSS . Sage.

Black, T. R. (1999). Doing quantitative research in the social sciences: An integrated approach to research design, measurement and statistics . Sage.

Braun, V. & Clarke, V. (2006). Using thematic analysis in psychology . Qualitative Research in Psychology , 3, 77–101.

Carr, L. T. (1994). The strengths and weaknesses of quantitative and qualitative research : what method for nursing? Journal of advanced nursing, 20(4) , 716-721.

Denscombe, M. (2010). The Good Research Guide: for small-scale social research. McGraw Hill.

Denzin, N., & Lincoln. Y. (1994). Handbook of Qualitative Research. Thousand Oaks, CA, US: Sage Publications Inc.

Glaser, B. G., Strauss, A. L., & Strutzel, E. (1968). The discovery of grounded theory; strategies for qualitative research. Nursing research, 17(4) , 364.

Minichiello, V. (1990). In-Depth Interviewing: Researching People. Longman Cheshire.

Punch, K. (1998). Introduction to Social Research: Quantitative and Qualitative Approaches. London: Sage

Further Information

• Designing qualitative research
• Methods of data collection and analysis
• Introduction to quantitative and qualitative research
• Checklists for improving rigour in qualitative research: a case of the tail wagging the dog?
• Qualitative research in health care: Analysing qualitative data
• Qualitative data analysis: the framework approach
• Using the framework method for the analysis of
• Qualitative data in multi-disciplinary health research
• Content Analysis
• Grounded Theory
• Thematic Analysis

Related Articles

Research Methodology

Discourse Analysis

Phenomenology In Qualitative Research

Ethnography In Qualitative Research

Narrative Analysis In Qualitative Research

Thematic Analysis: A Step by Step Guide

Metasynthesis Of Qualitative Research

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• v.56(1); 2023 Jan

Qualitative Research in Healthcare: Necessity and Characteristics

1 Department of Preventive Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea

2 Ulsan Metropolitan City Public Health Policy’s Institute, Ulsan, Korea

3 Department of Nursing, Chung-Ang University, Seoul, Korea

Eun Young Choi

4 College of Nursing, Sungshin Women’s University, Seoul, Korea

Seung Gyeong Jang

5 Department of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Korea

Quantitative and qualitative research explore various social phenomena using different methods. However, there has been a tendency to treat quantitative studies using complicated statistical techniques as more scientific and superior, whereas relatively few qualitative studies have been conducted in the medical and healthcare fields. This review aimed to provide a proper understanding of qualitative research. This review examined the characteristics of quantitative and qualitative research to help researchers select the appropriate qualitative research methodology. Qualitative research is applicable in following cases: (1) when an exploratory approach is required on a topic that is not well known, (2) when something cannot be explained fully with quantitative research, (3) when it is necessary to newly present a specific view on a research topic that is difficult to explain with existing views, (4) when it is inappropriate to present the rationale or theoretical proposition for designing hypotheses, as in quantitative research, and (5) when conducting research that requires detailed descriptive writing with literary expressions. Qualitative research is conducted in the following order: (1) selection of a research topic and question, (2) selection of a theoretical framework and methods, (3) literature analysis, (4) selection of the research participants and data collection methods, (5) data analysis and description of findings, and (6) research validation. This review can contribute to the more active use of qualitative research in healthcare, and the findings are expected to instill a proper understanding of qualitative research in researchers who review qualitative research reports and papers.

Graphical abstract

INTRODUCTION

The definition of research varies among studies and scholars, and it is difficult to devise a single definition. The Oxford English Dictionary defines research as “a careful study of a subject, especially in order to discover new facts or information about it” [ 1 ], while Webster’s Dictionary defines research as “studious inquiry or examination - especially: investigation or experimentation aimed at the discovery and interpretation of facts, revision of accepted theories or laws in the light of new facts, or practical application of such new or revised theories or laws” [ 2 ]. Moreover, research is broadly defined as the process of solving unsolved problems to broaden human knowledge [ 3 ]. A more thorough understanding of research can be gained by examining its types and reasons for conducting it.

The reasons for conducting research may include practical goals, such as degree attainment, job promotion, and financial profit. Research may be based on one’s own academic curiosity or aspiration or guided by professors or other supervisors. Academic research aims can be further divided into the following: (1) accurately describing an object or phenomenon, (2) identifying general laws and establishing well-designed theories for understanding and explaining a certain phenomenon, (3) predicting future events based on laws and theories, and (4) manipulating causes and conditions to induce or prevent a phenomenon [ 3 ].

The appropriate type of research must be selected based on the purpose and topic. Basic research has the primary purpose of expanding the existing knowledge base through new discoveries, while applied research aims to solve a real problem. Descriptive research attempts to factually present comparisons and interpretations of findings based on analyses of the characteristics, progression, or relationships of a certain phenomenon by manipulating the variables or controlling the conditions. Experimental or analytical research attempts to identify causal relationships between variables through experiments by arbitrarily manipulating the variables or controlling the conditions [ 3 ]. In addition, research can be quantitative or qualitative, depending on the data collection and analytical methods. Quantitative research relies on statistical analyses of quantitative data obtained primarily through investigation and experiment, while qualitative research uses specific methodologies to analyze qualitative data obtained through participant observations and in-depth interviews. However, as these types of research are not polar opposites and the criteria for classifying research types are unclear, there is some degree of methodological overlap.

What is more important than differentiating types of research is identifying the appropriate type of research to gain a better understanding of specific questions and improve problems encountered by people in life. An appropriate research type or methodology is essential to apply findings reliably. However, quantitative research based on the philosophical ideas of empiricism and positivism has been the mainstay in the field of healthcare, with academic advancement achieved through the application of various statistical techniques to quantitative data [ 4 ]. In particular, there has been a tendency to treat complicated statistical techniques as more scientific and superior, with few qualitative studies in not only clinical medicine, but also primary care and social medicine, which are relatively strongly influenced by the social sciences [ 5 , 6 ].

Quantitative and qualitative research use different ways of exploring various social phenomena. Both research methodologies can be applied individually or in combination based on the research topic, with mixed quantitative and qualitative research methodologies becoming more widespread in recent years [ 7 ]. Applying these 2 methods through a virtuous cycle of integration from a complementary perspective can provide a more accurate understanding of human phenomena and solutions to real-world problems.

This review aimed to provide a proper understanding of qualitative research to assist researchers in selecting the appropriate research methodology. Specifically, this review examined the characteristics of quantitative and qualitative research, the applicability of qualitative research, and the data sources collected and analyzed in qualitative research.

COMPARISON OF QUALITATIVE AND QUANTITATIVE RESEARCH

A clearer understanding of qualitative research can be obtained by comparing qualitative and quantitative research, with which people are generally familiar [ 8 , 9 ]. Quantitative research focuses on testing the validity of hypotheses established by the researcher to identify the causal relationships of a specific phenomenon and discovering laws to predict that phenomenon ( Table 1 ). Therefore, it emphasizes controlling the influence of variables that may interfere with the process of identifying causality and laws. In contrast, qualitative research aims to discover and explore new hypotheses or theories based on a deep understanding of the meaning of a specific phenomenon. As such, qualitative research attempts to accept various environmental factors naturally. In quantitative research, importance is placed on the researcher acting as an outsider to take an objective view by keeping a certain distance from the research subject. In contrast, qualitative research encourages looking inside the research subjects to understand them deeply, while also emphasizing the need for researchers to take an intersubjective view that is formed and shared based on a mutual understanding with the research subjects.

Comparison of methodological characteristics between quantitative research and qualitative research

The data used in quantitative research can be expressed as numerical values, and data accumulated through questionnaire surveys and tests are often used in analyses. In contrast, qualitative research uses narrative data with words and images collected through participant observations, in-depth interviews, and focus group discussions used in the analyses. Quantitative research data are measured repeatedly to enhance their reliability, while the analyses of such data focus on superficial aspects of the phenomenon of interest. Qualitative research instead focuses on obtaining deep and rich data and aims to identify the specific contents, dynamics, and processes inherent within the phenomenon and situation.

There are clear distinctions in the advantages, disadvantages, and goals of quantitative and qualitative research. On one hand, quantitative research has the advantages of reliability and generalizability of the findings, and advances in data collection and analysis methods have increased reliability and generalizability. However, quantitative research presents difficulties with an in-depth analysis of dynamic phenomena that cannot be expressed by numbers alone and interpreting the results analyzed in terms numbers. On the other hand, qualitative research has the advantage of validity, which refers to how accurately or appropriately a phenomenon was measured. However, qualitative research also has the disadvantage of weak generalizability, which determines whether an observed phenomenon applies to other cases.

APPLICATIONS OF QUALITATIVE RESEARCH AND ITS USEFULNESS IN THE HEALTHCARE FIELD

Qualitative research cannot be the solution to all problems. A specific methodology should not be applied to all situations. Therefore, researchers need to have a good understanding of the applicability of qualitative research. Generally, qualitative research is applicable in following cases: (1) when an exploratory approach is required on a topic that is not well known, (2) when something cannot be explained fully with quantitative research, (3) when it is necessary to newly present a specific view on a research topic that is difficult to explain with existing views, (4) when it is inappropriate to present the rationale or theoretical proposition for designing hypotheses, as in quantitative research, and (5) when conducting research that requires detailed descriptive writing with literary expressions [ 7 ]. In particular, qualitative research is useful for opening new fields of research, such as important topics that have not been previously examined or whose significance has not been recognized. Moreover, qualitative research is advantageous for examining known topics from a fresh perspective.

In the healthcare field, qualitative research is conducted on various topics considering its characteristics and strengths. Quantitative research, which focuses on hypothesis validation, such as the superiority of specific treatments or the effectiveness of specific policies, and the generalization of findings, has been the primary research methodology in the field of healthcare. Qualitative research has been mostly applied for studies such as subjective disease experiences and attitudes with respect to health-related patient quality of life [ 10 - 12 ], experiences and perceptions regarding the use of healthcare services [ 13 - 15 ], and assessments of the quality of care [ 16 , 17 ]. Moreover, qualitative research has focused on vulnerable populations, such as the elderly, children, disabled [ 18 - 20 ], minorities, and socially underprivileged with specific experiences [ 21 , 22 ].

For instance, patient safety is considered a pillar of quality of care, which is an aspect of healthcare with increasing international interest. The ultimate goal of patient safety research should be the improvement of patient safety, for which it is necessary to identify the root causes of potential errors and adverse events. In such cases, qualitative rather than quantitative research is often required. It is also important to identify whether there are any barriers when applying measures for enhancing patient safety to clinical practice. To identify such barriers, qualitative research is necessary to observe healthcare workers directly applying the solutions step-by-step during each process, determine whether there are difficulties in applying the solutions to relevant stakeholders, and ask how to improve the process if there are difficulties.

Patient safety is a very broad topic, and patient safety issues could be categorized into preventing, recognizing, and responding to patient safety issues based on related metrics [ 23 ]. Responding to issues that pertain to the handling of patient safety incidents that have already occurred has received relatively less interest than other categories of research on this topic, particularly in Korea. Until 2017, almost no research was conducted on the experiences of and difficulties faced by patients and healthcare workers who have been involved in patient safety incidents. This topic can be investigated using qualitative research.

A study in Korea investigated the physical and mental suffering experienced during the process of accepting disability and medical litigation by a patient who became disabled due to medical malpractice [ 21 ]. Another qualitative case study was conducted with participants who lost a family member due to a medical accident and identified psychological suffering due to the incident, as well as secondary psychological suffering during the medical litigation process, which increased the expandability of qualitative research findings [ 24 ]. A quantitative study based on these findings confirmed that people who experienced patient safety incidents had negative responses after the incidents and a high likelihood of sleep or eating disorders, depending on their responses [ 25 ].

A study that applied the grounded theory to examine the second victim phenomenon, referring to healthcare workers who have experienced patient safety incidents, and presented the response stages experienced by second victims demonstrated the strength of qualitative research [ 26 ]. Subsequently, other studies used questionnaire surveys on physicians and nurses to quantify the physical, mental, and work-related difficulties experienced by second victims [ 27 , 28 ]. As such, qualitative research alone can produce significant findings; however, combining quantitative and qualitative research produces a synergistic effect. In the healthcare field, which remains unfamiliar with qualitative research, combining these 2 methodologies could both enhance the validity of research findings and facilitate open discussions with other researchers [ 29 ].

In addition, qualitative research has been used for diverse sub-topics, including the experiences of patients and guardians with respect to various diseases (such as cancer, myocardial infarction, chronic obstructive pulmonary disease, depression, falls, and dementia), awareness of treatment for diabetes and hypertension, the experiences of physicians and nurses when they come in contact with medical staff, awareness of community health environments, experiences of medical service utilization by the general public in medically vulnerable areas, the general public’s awareness of vaccination policies, the health issues of people with special types of employment (such as delivery and call center workers), and the unmet healthcare needs of persons with vision or hearing impairment.

GENERAL WORKFLOW OF QUALITATIVE RESEARCH

Rather than focusing on deriving objective information, qualitative research aims to discern the quality of a specific phenomenon, obtaining answers to “why” and “how” questions. Qualitative research aims to collect data multi-dimensionally and provide in-depth explanations of the phenomenon being researched. Ultimately, the purpose of qualitative research is set to help researchers gain an understanding of the research topic and reveal the implications of the research findings. Therefore, qualitative research is generally conducted in the following order: (1) selection of a research topic and question, (2) selection of a theoretical framework and methods, (3) literature analysis, (4) selection of the research participants (or participation target) and data collection methods, (5) data analysis and description of findings, and (6) research validation ( Figure 1 ) [ 30 ]. However, unlike quantitative research, in which hypothesis setting and testing take place unidirectionally, a major characteristic of qualitative research is that the process is reversible and research methods can be modified. In other words, the research topic and question could change during the literature analysis process, and theoretical and analytical methods could change during the data collection process.

General workflow of qualitative research.

Selection of a Research Topic and Question

As with any research, the first step in qualitative research is the selection of a research topic and question. Qualitative researchers can select a research topic based on their interests from daily life as a researcher, their interests in issues within the healthcare field, and ideas from the literature, such as academic journals. The research question represents a more specific aspect of the research topic. Before specifically starting to conduct research based on a research topic, the researcher should clarify what is being researched and determine what research would be desirable. When selecting a research topic and question, the research should ask: is the research executable, are the research topic and question worth researching, and is this a research question that a researcher would want to research?

Selection of Theoretical Framework and Methods

A theoretical framework refers to the thoughts or attitudes that a researcher has about the phenomenon being researched. Selecting the theoretical framework first could help qualitative researchers not only in selecting the research purpose and problem, but also in carrying out various processes, including an exploration of the precedent literature and research, selection of the data type to be collected, data analysis, and description of findings. In qualitative research, theoretical frameworks are based on philosophical ideas, which affect the selection of specific qualitative research methods. Representative qualitative research methods include the grounded theory, which is suitable for achieving the goal of developing a theory that can explain the processes involved in the phenomenon being researched; ethnographic study, which is suitable for research topics that attempt to identify and interpret the culture of a specific group; phenomenology, which is suitable for research topics that attempt to identify the nature of research participants’ experiences or the phenomenon being researched; case studies, which aim to gain an in-depth understanding of a case that has unique characteristics and can be differentiated from other cases; action research, which aims to find solutions to problems faced by research participants, with the researchers taking the same position as the participants; and narrative research, which is suitable for research topics that attempt to interpret the entire life or individual experiences contained within the stories of research participants. Other methodologies include photovoice research, consensual qualitative research, and auto-ethnographic research.

Literature Analysis

Literature analysis results can be helpful in specifically selecting the research problem, theoretical framework, and research methods. The literature analysis process compels qualitative researchers to contemplate the new knowledge that their research will add to the academic field. A comprehensive literature analysis is encouraged both in qualitative and quantitative research, and if the prior literature related to the subject to be studied is insufficient, it is sometimes evaluated as having low research potential or research value. Some have claimed that a formal literature review should not be performed before the collection of field data, as it could create bias, thereby interfering with the investigation. However, as the qualitative research process is cyclic rather than unidirectional, the majority believes that a literature review can be performed at any time. Moreover, an ethical review prior to starting the research is a requirement; therefore, the research protocol must be prepared and submitted for review and approval prior to conducting the research. To prepare research protocols, the existing literature must be analyzed at least to a certain degree. Nonetheless, qualitative researchers must keep in mind that their emotions, bias, and expectations may interject themselves during the literature review process and should strive to minimize any bias to ensure the validity of the research.

Selection of the Research Participants and Data Collection Methods

The subjects of qualitative research are not necessarily humans. It is more important to find the research subject(s) from which the most in-depth answers to the research problem can be obtained. However, the subjects in most qualitative studies are humans, as most research question focus on humans. Therefore, it is important to obtain research participants with sufficient knowledge, experience, and attitudes to provide the most appropriate answers to the research question. Quantitative research, which views generalizability as a key research goal, emphasizes the selection of research participants (i.e., the research sample that can represent the study’s population of interest), whereas qualitative research emphasizes finding research participants who can best describe and demonstrate the phenomenon of interest.

In qualitative research, the participant selection method is referred to as purposeful sampling (or purposive sampling), which can be divided into various types. Sampling methods have various advantages, disadvantages, and characteristics. For instance, unique sampling (extreme case sampling) has the advantage of being able to obtain interesting research findings by researching phenomena that have previously received little or no interest, and the disadvantage of deriving research findings that are interesting to only some readers if the research is conducted on an overly unique situation. Maximum variation sampling, also referred to as theoretical sampling, is commonly used in qualitative research based on the grounded theory. Selecting the appropriate participant sampling method that suits the purpose of research is crucial ( Table 2 ).

Sampling methods of selecting research participants in qualitative research

Once the researcher has decided how to select study participants, the data collection methods must be determined. Just as with participant sampling, various data collection methods are available, all of which have various advantages and disadvantages; therefore, the method must be selected based on the research question and circumstances. Unlike quantitative research, which usually uses a single data source and data collection method, the use of multiple data sources and data collection methods is encouraged in qualitative research [ 30 ]. Using a single data source and data collection method could cause data collection to be skewed by researcher bias; therefore, using multiple data sources and data collection methods is ideal. In qualitative research, the following data types are commonly used: (1) interview data obtained through one-on-one in-depth interviews and focus group discussions, (2) observational data from various observation levels, (3) documented data collected from personal or public documents, and (4) image data, such as photographs and videos.

Interview data are the most commonly used data source in qualitative research [ 31 ]. In qualitative research, an interview refers to communication that takes place based on a clear sense of purpose of acquiring certain information, unlike conversations that typically take place in daily life. The level of data acquired through interviews varies significantly depending on the researcher’s personal qualifications and abilities, as well as his or her level of interest and knowledge regarding the research topic. Therefore, interviewers must be trained to go beyond simply identifying the clearly expressed experiences of research participants to exploring their inner experiences and emotions [ 32 ]. Interview data can be classified based on the level of structuralization of the data collection method, sample size, and interview method. The characteristics of each type of interview are given in Table 3 .

Detailed types of interview methods according to the characteristics of in-depth interviews and focus group discussion

Observations, which represent a key data collection method in anthropology, refer to a series of actions taken by the researcher in search of a deep understanding by systematically examining the appearances of research participants that take place in natural situations [ 33 ]. Observations can be categorized as participant and non-participant, insider and outsider, disguised and undisguised, short- and long-term, and structured and unstructured. However, a line cannot be drawn clearly to differentiate these categories, and the degree of each varies along a single spectrum. Therefore, it is necessary for a qualitative researcher to select the appropriate data collection method based on the circumstances and characteristics of the research topic.

Various types of document data can be used in qualitative research. Personal documents include diaries, letters, and autobiographies, while public documents include legal documents, public announcements, and civil documents. Online documents include emails and blog or bulletin board postings, while other documents include graffiti. All these document types may be used as data sources in qualitative research. In addition, image data acquired by the research participant or researcher, such as photographs and videos, serve as useful data sources in qualitative research. Such data sources are relatively objective and easily accessible, while they contain a significant amount of qualitative meaning despite the low acquisition cost. While some data may have been collected for research purposes, other data may not have been originally produced for research. Therefore, the researcher must not distort the original information contained in the data source and must verify the accuracy and authenticity of the data source in advance [ 30 ].

This review examined the characteristics of qualitative research to help researchers select the appropriate qualitative research methodology and identify situations suitable for qualitative research in the healthcare field. In addition, this paper analyzed the selection of the research topic and problem, selection of the theoretical framework and methods, literature analysis, and selection of the research participants and data collection methods. A forthcoming paper will discuss more specific details regarding other qualitative research methodologies, such as data analysis, description of findings, and research validation. This review can contribute to the more active use of qualitative research in the healthcare field, and the findings are expected to instill a proper understanding of qualitative research in researchers who review and judge qualitative research reports and papers.

Ethics Statement

Since this study used secondary data source, we did not seek approval from the institutional review board. We also did not have to ask for the consent of the participants.

Acknowledgments

CONFLICT OF INTEREST

The authors have no conflicts of interest associated with the material presented in this paper.

AUTHOR CONTRIBUTIONS

Conceptualization: Pyo J, Lee W, Choi EY, Jang SG, Ock M. Data curation: Pyo J, Ock M. Formal analysis: Pyo J, Ock M. Funding acquisition: None. Validation: Lee W, Choi EY, Jang SG. Writing - original draft: Pyo J, Ock M. Writing - review & editing: Pyo J, Lee W, Choi EY, Jang SG, Ock M.

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• 1 University of Nebraska Medical Center
• 2 GDB Research and Statistical Consulting
• 3 GDB Research and Statistical Consulting/McLaren Macomb Hospital
• PMID: 29262162
• Bookshelf ID: NBK470395

Qualitative research is a type of research that explores and provides deeper insights into real-world problems. Instead of collecting numerical data points or intervening or introducing treatments just like in quantitative research, qualitative research helps generate hypothenar to further investigate and understand quantitative data. Qualitative research gathers participants' experiences, perceptions, and behavior. It answers the hows and whys instead of how many or how much. It could be structured as a standalone study, purely relying on qualitative data, or part of mixed-methods research that combines qualitative and quantitative data. This review introduces the readers to some basic concepts, definitions, terminology, and applications of qualitative research.

Qualitative research, at its core, asks open-ended questions whose answers are not easily put into numbers, such as "how" and "why." Due to the open-ended nature of the research questions, qualitative research design is often not linear like quantitative design. One of the strengths of qualitative research is its ability to explain processes and patterns of human behavior that can be difficult to quantify. Phenomena such as experiences, attitudes, and behaviors can be complex to capture accurately and quantitatively. In contrast, a qualitative approach allows participants themselves to explain how, why, or what they were thinking, feeling, and experiencing at a particular time or during an event of interest. Quantifying qualitative data certainly is possible, but at its core, qualitative data is looking for themes and patterns that can be difficult to quantify, and it is essential to ensure that the context and narrative of qualitative work are not lost by trying to quantify something that is not meant to be quantified.

However, while qualitative research is sometimes placed in opposition to quantitative research, where they are necessarily opposites and therefore "compete" against each other and the philosophical paradigms associated with each other, qualitative and quantitative work are neither necessarily opposites, nor are they incompatible. While qualitative and quantitative approaches are different, they are not necessarily opposites and certainly not mutually exclusive. For instance, qualitative research can help expand and deepen understanding of data or results obtained from quantitative analysis. For example, say a quantitative analysis has determined a correlation between length of stay and level of patient satisfaction, but why does this correlation exist? This dual-focus scenario shows one way in which qualitative and quantitative research could be integrated.

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Conflict of interest statement

Disclosure: Steven Tenny declares no relevant financial relationships with ineligible companies.

Disclosure: Janelle Brannan declares no relevant financial relationships with ineligible companies.

Disclosure: Grace Brannan declares no relevant financial relationships with ineligible companies.

• Introduction
• Issues of Concern
• Clinical Significance
• Enhancing Healthcare Team Outcomes
• Review Questions

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19 Advantages and Disadvantages of Qualitative Research Methods

The University of Utah College of nursing defines qualitative research like this. “[It] is the process of naturalistic inquiry that seeks in-depth understanding of social phenomena within their natural setting.”

If we were to put that observation into layman’s terms, then we would say that qualitative research wants to answer the questions of “why” when examining a situation instead of looking at the “what.” It relies on the direct experiences that we have as humans as meaning and making agents as we go about our daily lives.

Researchers using the system look at multiple components of inquiry for the study of human-related activities and existence. They may use case studies, biographies, discourse analysis, ground theory, and even phenomenology.

There are three primary areas of focus for qualitative research: cultures, communication, and individuals. Even though there are several methods of inquiry in qualitative research, each has a common assumption. This process considers knowledge to be subjective rather than objective, and it requires the research to learn from participants to understand the meaning of their lives through a neutral perspective.

Here are the qualitative research pros and cons to consider when looking at this particular method.

List of the Pros of Qualitative Research

1. It provides more content that is useful for practical application. If you want the ability to form relationships in the modern world, then authenticity must be your top priority. Understanding the core concepts of how someone defines themselves is challenging from an outside perspective. The qualitative research process encourages social scientists to understand why people make the choices they do each day. That makes it possible to see how lives are structured, making it possible to develop content that becomes useful for practical application. It is a way to make something that solves actual problems in life.

2. It uses a smaller sample size than other research methods. Most qualitative research studies are completed rapidly because they use smaller sample sizes. This structure makes it possible for social scientists to glean data from participants quickly, creating a generalization that can then become useful for a demographic or the general population. With the faster results, researchers can move forward confidently because of the quality of the information they obtained.

3. It offers the chance to develop specific insights. Humans are complex creatures. We tend to make decisions based on convenience and comfort, but we also move forward in ways that are comfortable for our moral or ethical positions. The way that we talk, the words that we use, and even on our non-verbal communication all create a foundation for social scientists to understand us better. When they use this method to look at the problems or choices that we face every day, it becomes possible to find insights within that data which can help to solve problems for everyone. This process is an opportunity to understand the context of what is going on instead of looking at only the choices or behaviors individually.

4. It eliminates the potential for bias within the data. One of the significant issues that social research faces is the unconscious bias. People have preconceived notions about specific demographics and people that could influence the research. Even scientists and researchers are not immune to this process. Qualitative research makes it possible to set aside these judgments because it looks at the actual structure of the decision-making process. It collects data from the events which lead up to the choice instead of looking at it after the fact. That’s why the information collected from this process is often more accurate than other methods, making it possible to create a predictable outcome.

5. It can be an open-ended process. One of the significant advantages of the qualitative research process is that it does not rely on closed questioning. Researchers are able to ask open-ended questions whenever they feel it is necessary to collect some more information from the individuals involved in the study. This structure makes it possible to understand why emotional responses develop in the first place. It can also help social scientists discover information that might otherwise be overlooked because there is more emphasis placed on the interview portion of the world.

6. It turns individual experiences into usable data. One of the reasons why diversity is a buzzword in today’s business climate is because the elements of life that make humans different is what will make them stronger as a group. It is like taking the concept of yin and yang on a massive scale. What qualitative research offers is an opportunity to turn these unique individual experiences into data that is usable in a variety of ways. Once we understand why people make the choices they do, it becomes possible to find ways to improve that process.

7. It uses a fluid operational structure instead of rigid guidelines. Qualitative research relies on social scientists being able to watch and experience situations with the subjects they are studying to produce usable information. Instead of focusing on a specific framework that require zero deviation from the process, researches can pursue any event, fact, or statistic that they feel is relevant to their data collection efforts. It is a way to incorporate the complexities of the human experience into a structure that creates a database of conclusions that becomes useful for the general population.

8. It focuses on the purpose of a decision instead of the details. Imagine a scenario of a moment where there is a father of four children who is unemployed. They do not receive any social welfare benefits, and there isn’t a food bank available to use. He has asked food providers in his community to help his family, but the response has always been negative. They have now gone three days without food. Everyone is hungry. The father decides to steal what his family requires in the least harmful way possible to ensure his children get something to eat.

Qualitative research looks at the purpose of the decision as the primary data point, so it would examine the reasons why hunger was there in the first place. Other research methods would look at the behavior, which is a crime. We need to know the full story behind decisions to make improvements to society. If we only get part of the picture, then we can only achieve partial results.

9. It still offers a predictive quality. The information that researchers gather through the qualitative research process still offers a predictive quality, even though the perspectives and experiences of those involve can vary by a substantial amount. People who grow up in similar circumstances will often prefer specific situations and outcomes to reduce their pain points. Although this data cannot be applied to the general population, there is an opportunity to understand more about the processes of ultra-specific demographics. This process promotes an opportunity to develop responses, services, or products that can help those people.

10. It is more affordable than other research methods. Focus groups often rely on the qualitative process for gathering information because it is fast, affordable, and effective. You can sit a few people down at a table, ask them specific questions, and then get the answers that you want right away. Compared to the lengthy studies that other methods require, you can proceed with an idea much faster using this process.

1. It creates subjective data. Although there are several benefits to consider when using the personal perspective of researchers in the qualitative research method, there will always be a subjective quality to the data that they gather. Some people will always believe that certain vital points are more critical to their findings than others. You can place three researchers in the same room to observe an event and then receive three differing perspectives. You can receive highly detailed information with this option, but it can also be incredibly inaccurate.

2. It takes a lot of time to collect the data points. One of the significant advantages of the qualitative research method is that it creates a lot of potential data points which are usable to the social scientists. This process also creates a disadvantage which must be considered by researchers as well. When there is a lot of information available from this research process, there must be a time commitment to sort through the elements to determine what is usable and what is not. It is an element of uncertainty that is never truly eliminated from this option.

3. It does not offer statistical representation. Qualitative research does not care about percentages or statistics. It wants to find commonalities. Although this process is helpful for looking at specific areas of concern within ultra-local demographics, it can be challenging to apply the findings to a broader population. The best result researchers can produce is a comparison of data that can help them understand why some things happen the way that they do. If a process requires a broader perspective, then this is not the best option to choose.

4. It requires researchers to be knowledge about what they are reviewing. The opportunities that are possible through qualitative research become possible because of the industry-related expertise that researchers have. If an interviewer is unfamiliar with the subject involved, then they cannot ask the relevant questions that are necessary to get the results that are desired. Every research method requires some level of personal knowledge of those involved, but this disadvantage can lead to a complete waste of time for everyone involved if no one can interpret the responses correctly.

5. It requires researchers to identify unspoken data points. Researchers are trusted to connect all of the dots when they gather information through the qualitative process. They must read non-verbal cues, have an empathetic response, and understand the situation behind each action a person takes when going through this process. There is a lot of info that comes to the social scientists in a form that goes beyond observational. Missing this data can lead to incomplete results, false conclusions, or worse.

If there are any questions regarding this disadvantage in the final research summary, it is possible that the scientific community may not accept the findings. The only way to counter this issue is to repeat the work with different researchers, have third-party verification, or take steps to pursue the findings even if no one else agrees with them.

6. It may require repetitive research efforts. Because qualitative research focuses on a smaller sample size to develop a rich data profile, the complexity of the questions involved becomes a potential disadvantage. When there is a critical decision to be made, then discovering the potential consequences on both sides of that equation can help to develop a better SWOT profile. Since the smaller size of the sample is not always an accurate representation of an entire demographic, there may need to be several follow-ups involved to ensure that there is accuracy throughout the process.

7. It is challenging to replicate results using this method. Theories become fact because third-party researchers can verify the information that the initial studies produce. When others can duplicate your work, it becomes useful to the betterment of that demographic. Qualitative research is highly subjective, so finding opportunities for duplication are incredibly rare. If you need someone else to verify your results, then the scope of information collection will be limited. This disadvantage would then offer an incomplete look at the subject matter, which could then produce ineffective decisions down the road.

8. It can be subjective to research influence. The data points collected during the qualitative research process can be influenced subtly to produce specific results that look authentic. It is possible to support a biased point of view by asking targeted questions that generate a specific result. Unless controls are in place to remove this potential for intended influence, there is always the possibility that the results generated by this effort are questioned as to its authenticity.

9. It does not offer data rigidity. The qualitative research process tries to find points of common ground that people share in specific demographics. It is like having one person say, “I like the color green,” and then having other people agree with that statement. When researchers want to pinpoint specific opportunities for advancement or improvement, the generic nature of common ground makes it impossible to create meaningful results. Even though everyone might like green, one person might prefer lime, another olive, a third sage, and someone might even mention chartreuse. That’s why this process looks more at the reasons behind the color preference in the first place instead of trying to determine a specific outcome.

The pros and cons of qualitative research look at how we are diverse as a people to create a better understanding of why we are who we are. This process makes it possible to look deeper into the issue of choice to determine why specific pain points exist for certain demographics. When researchers can see recurring patterns develop, then they can start to find solutions that benefit everyone. That leads to better processes, products, and opportunities for everyone in the future.

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Pros and Cons of Qualitative Research

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• Post published: January 5, 2019
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Qualitative research is the collection, analysis, and interpretation of data on the underlying problem. It helps you develop ideas or hypotheses to a problem. It gathers non-numerical data or “reasons behind a certain behavior”.

Qualitative research focuses on evaluating, clarifying, and understanding the respondent’s behavior and attitude. Let’s take a look at the pros and cons of using qualitative research in collecting raw data.

1 . A small sample: The research is carried out on a small group of respondents to provide fast results at a low cost.

2 . Flexible: You can interview a small group of respondents at different locations and timing. You don’t have to worry about interviewing a large number of people at the same time.

3 . Unrestricted interviews: Interview questions used to collect data are not restricted to specific questions and the researcher can guide or redirect respondents.

4 . Revision of the research framework: The new information gathered through the research can be used to change the research framework and direction.

5 . Detailed examination: It requires you to examine an area of research in detail and in more depth than quantitative research.

6 . Taps respondent’s creativity: Qualitative research questions are open-ended, dynamic and can help in tapping the respondent’s creativity as well as get more ideas by interacting with them.

7 . Source of more ideas: Qualitative research provides a rich source of more formative ideas which can be evaluated on the topic.

8 . Powerful information: The collected and analyzed data based on human experience is more powerful and more compelling than the quantitative data.

9 . Explain customer’s attitude: Through qualitative research, you can get an explanation of events that happen outside a certain predictive matrix from the previous research. This helps to understand the customer’s attitude and behavior.

10 . Open-ended process: Qualitative research enables you to get superficial responses, rational thoughts, and emotional responses from the respondent. The emotional response influences one’s decision and behavior.

1 . No generalization: Once you collect data from the respondents, you can’t generalize the findings like in quantitative research. Qualitative research doesn’t allow you to use the findings as to the basis for representing a wide audience or the public.

2 . Require industry-related expertise: It is dependent on the interviewer’s skills and experience. Lack of industry-related expertise may lead to the collection of inaccurate data.

3 . Time-consuming: The volume of data collected, the analysis process, and the interpretation of data are very time-consuming. It is also time-consuming to characterize findings in visual form.

4 . Difficult to quantify: It is very difficult to quantify the number of respondents who answered one way or the other. You cannot easily create a solid statistic on the number of respondents.

5 . Trust: A lot of trust and patient is needed for the researcher to gather data and draw together the unseen data from the respondent. This ensures unseen data doesn’t disappear.

6 . Not accepted: Qualitative research is not well understood or accepted in the scientific community as quantitative research. More people rely on quantitative data than on qualitative data.

7 . Subjective data: The data collected is highly subjective due to the individual perspectives of the researchers. A single researcher can collect data that is deemed pointless and unimportant by another researcher. This can lead to inaccurate and unreliable data.

8 . The rigidity of data: Data collected is based on individual perspectives making it difficult to prove the rigidity of the information collected.

9 . Require repetitive research periods: Qualitative research rely on small sample size and this creates a problem for small business facing challenges. The small sample is not representative of a large portion therefore, a follow-up should be done with a large sample size to get accurate data.

10 . No exact matches: It is not easily repeated and you can’t get the exact responses as the previous research compared to the results of quantitative research.

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The evolution of AI in talent acquisition

A brief history of AI usage in recruitment

Key benefits of using ai in talent acquisition, how ai tools are transforming recruitment, the future of ai in talent acquisition.

The recruitment landscape has undergone significant changes with the introduction of AI, revolutionising how companies source, attract and hire talent. Using AI in talent acquisition has become a crucial strategy for organisations aiming to stay competitive in today’s fast-paced market.

Using AI in recruitment started with basic algorithms designed to match keywords from resumes to specific job descriptions and demands. As technology advanced, so did AI’s capabilities, evolving from simple keyword matching to sophisticated algorithms capable of assessing skills, predicting job performance, and even gauging cultural fit.

The speed of development of this technology has been incredible and has drastically accelerated in the last 10 years. Today the main struggle for most recruiters and talent acquisition managers seems to be how to utilize AI capabilities without losing the personal touch that most candidates still expect and value from a potential employer. Let’s review the benefits of AI and when to consider using it. 

Efficiency and Speed:

• AI can help streamline the recruitment process by automating repetitive tasks, such as resume screening and interview scheduling . This can reduce the time-to-hire significantly. AI can help quickly put together message templates that you can later customise to add your own tone of voice and make the messages feel more personal and on brand.

Bias Reduction:

• AI algorithms can be designed to minimize human biases in the recruitment process, ensuring a fairer evaluation of candidates based on skills and qualifications rather than subjective opinions. Even though there are still some debates ongoing about whether AI functionality today makes this totally foolproof and can fully be trusted, it is likely that this use case for AI is here to stay.

Are you looking to improve your recruitment efficiency? We’d love to show you how Teamdash’s applicant tracking system has helped companies save up to 80% of time spent on manual tasks. 

Resume Screening:

• AI tools can analyze large volumes of resumes quickly and accurately, identifying the best matches for job openings. This ensures that recruiters spend more time engaging with qualified candidates rather than sifting through applications.

Enhanced Sourcing:

• AI-driven sourcing tools can scan online profiles, job boards, and social media platforms to identify passive candidates who may not have applied but are a good fit for the role.

AI writing assistant

• Streamline your communication and use AI created templates. Ever felt stuck after writing “Dear, [recipient_full_name]”? You can now use AI writing assistants in Teamdash applicant tracking system for long text fields and landing pages. The AI writing assistant knows the context of your text from available editor content, merge tags, your company information from the Brand settings, current project and it’s description. If writing a comment or sending a message to a single candidate, the AI takes into account the candidates CV too.

Interview transcribing and analysis:

• AI tools can successfully be used to automatically transcribe interviews with candidates for talent acquisition managers to not have to only rely on the notes they manage to take during the interviews. This alone should help save countless of hours of valuable time. There are tools on the market today that can be integrated with your existing ATS or applicant tracking systems that offer this functionality as part of their core product.

Data-Driven Decision Making:

• AI aggregates data from various stages of the hiring process to provide insights and recommendations for improving recruitment strategies.

As AI technology continues to evolve, its applications in recruitment will become even more sophisticated. Future advancements may include AI tools that can assess soft skills through video interviews, provide real-time feedback to candidates, and offer personalized career path recommendations.

Using AI in talent acquisition has transformed the recruitment landscape, offering unparalleled efficiency, enhancing the candidate experience, and promoting fairness in hiring. As organizations continue to adopt AI, they can expect to see even more innovative solutions that will further revolutionize how they attract and retain top talent. It is still more than unlikely that AI will ever be able to replace recruiters and talent acquisition teams completely. Rather it will be used as a tool to continue improving the speed and quality of the recruitment process for both talent teams, candidates and hiring managers.

Book a demo with a Teamdash software specialist to let us demonstrate all the available tools around saving time in your hiring process.

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