qualitative research 9

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9.1 Qualitative research: What is it and when should it be used?

Learning objectives.

• Define qualitative research
• Explain the differences between qualitative and quantitative research
• Identify the benefits and challenges of qualitative research

Qualitative versus quantitative research methods refers to data-oriented considerations about the type of data to collected and how they are analyzed. Qualitative research relies mostly on non-numeric data, such as interviews and observations to understand their meaning, in contrast to quantitative research which employs numeric data such as scores and metrics. Hence, qualitative research is not amenable to statistical procedures, but is coded using techniques like content analysis. Sometimes, coded qualitative data are tabulated quantitatively as frequencies of codes, but this data is not statistically analyzed.  Qualitative research has its roots in anthropology, sociology, psychology, linguistics, and semiotics, and has been available since the early 19th century, long before quantitative statistical techniques were employed.

Distinctions from Quantitative Research

In qualitative research, the role of the researcher receives critical attention.  In some methods such as ethnography, action research, and participant observation, the researcher is considered part of the social phenomenon, and her specific role and involvement in the research process must be made clear during data analysis. In other methods, such as case research, the researcher must take a “neutral” or unbiased stance during the data collection and analysis processes, and ensure that her personal biases or preconceptions does not taint the nature of subjective inferences derived from qualitative research.

Analysis in qualitative research is holistic and contextual, rather than being reductionist and isolationist. Qualitative interpretations tend to focus on language, signs, and meanings from the perspective of the participants involved in the social phenomenon, in contrast to statistical techniques that are employed heavily in positivist research. Rigor in qualitative research is viewed in terms of systematic and transparent approaches for data collection and analysis rather than statistical benchmarks for construct validity or significance testing.

Lastly, data collection and analysis can proceed simultaneously and iteratively in qualitative research. For instance, the researcher may conduct an interview and code it before proceeding to the next interview. Simultaneous analysis helps the researcher correct potential flaws in the interview protocol or adjust it to capture the phenomenon of interest better. The researcher may even change her original research question if she realizes that her original research questions are unlikely to generate new or useful insights. This is a valuable but often understated benefit of qualitative research, and is not available in quantitative research, where the research project cannot be modified or changed once the data collection has started without redoing the entire project from the start.

Benefits and Challenges of Qualitative Research

Qualitative research has several unique advantages. First, it is well-suited for exploring hidden reasons behind complex, interrelated, or multifaceted social processes, such as inter-firm relationships or inter-office politics, where quantitative evidence may be biased, inaccurate, or otherwise difficult to obtain. Second, it is often helpful for theory construction in areas with no or insufficient pre-existing theory. Third, qualitative research is also appropriate for studying context-specific, unique, or idiosyncratic events or processes. Fourth, it can help uncover interesting and relevant research questions and issues for follow-up research.

At the same time, qualitative research also has its own set of challenges. First, this type of research tends to be more time and resource intensive than quantitative research in data collection and analytic efforts. Too little data can lead to false or premature assumptions, while too much data may not be effectively processed by the researcher. Second, qualitative research requires well-trained researchers who are capable of seeing and interpreting complex social phenomenon from the perspectives of the embedded participants and reconciling the diverse perspectives of these participants, without injecting their personal biases or preconceptions into their inferences. Third, all participants or data sources may not be equally credible, unbiased, or knowledgeable about the phenomenon of interest, or may have undisclosed political agendas, which may lead to misleading or false impressions. Inadequate trust between participants and researcher may hinder full and honest self-representation by participants, and such trust building takes time. It is the job of the qualitative researcher to “see through the smoke” (hidden or biased agendas) and understand the true nature of the problem. Finally, given the heavily contextualized nature of inferences drawn from qualitative research, such inferences do not lend themselves well to replicability or generalizability.

Key Takeaways

• Qualitative research examines words and other non-numeric media
• Analysis in qualitative research is holistic and contextual
• Qualitative research offers unique benefits, while facing challenges to generalizability and replicability
• Qualitative methods – examine words or other media to understand their meaning

Foundations of Social Work Research Copyright © 2020 by Rebecca L. Mauldin is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan-.

StatPearls [Internet].

Qualitative study.

Steven Tenny ; Janelle M. Brannan ; Grace D. Brannan .

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Last Update: September 18, 2022 .

• Introduction

Qualitative research is a type of research that explores and provides deeper insights into real-world problems. [1] 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." [2] Due to the open-ended nature of the research questions, qualitative research design is often not linear like quantitative design. [2] One of the strengths of qualitative research is its ability to explain processes and patterns of human behavior that can be difficult to quantify. [3] 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. [4] 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.

Qualitative Research Approaches

Ethnography

Ethnography as a research design originates in social and cultural anthropology and involves the researcher being directly immersed in the participant’s environment. [2] Through this immersion, the ethnographer can use a variety of data collection techniques to produce a comprehensive account of the social phenomena that occurred during the research period. [2] That is to say, the researcher’s aim with ethnography is to immerse themselves into the research population and come out of it with accounts of actions, behaviors, events, etc, through the eyes of someone involved in the population. Direct involvement of the researcher with the target population is one benefit of ethnographic research because it can then be possible to find data that is otherwise very difficult to extract and record.

Grounded theory

Grounded Theory is the "generation of a theoretical model through the experience of observing a study population and developing a comparative analysis of their speech and behavior." [5] Unlike quantitative research, which is deductive and tests or verifies an existing theory, grounded theory research is inductive and, therefore, lends itself to research aimed at social interactions or experiences. [3] [2] In essence, Grounded Theory’s goal is to explain how and why an event occurs or how and why people might behave a certain way. Through observing the population, a researcher using the Grounded Theory approach can then develop a theory to explain the phenomena of interest.

Phenomenology

Phenomenology is the "study of the meaning of phenomena or the study of the particular.” [5] At first glance, it might seem that Grounded Theory and Phenomenology are pretty similar, but the differences can be seen upon careful examination. At its core, phenomenology looks to investigate experiences from the individual's perspective. [2] Phenomenology is essentially looking into the "lived experiences" of the participants and aims to examine how and why participants behaved a certain way from their perspective. Herein lies one of the main differences between Grounded Theory and Phenomenology. Grounded Theory aims to develop a theory for social phenomena through an examination of various data sources. In contrast, Phenomenology focuses on describing and explaining an event or phenomenon from the perspective of those who have experienced it.

Narrative research

One of qualitative research’s strengths lies in its ability to tell a story, often from the perspective of those directly involved in it. Reporting on qualitative research involves including details and descriptions of the setting involved and quotes from participants. This detail is called a "thick" or "rich" description and is a strength of qualitative research. Narrative research is rife with the possibilities of "thick" description as this approach weaves together a sequence of events, usually from just one or two individuals, hoping to create a cohesive story or narrative. [2] While it might seem like a waste of time to focus on such a specific, individual level, understanding one or two people’s narratives for an event or phenomenon can help to inform researchers about the influences that helped shape that narrative. The tension or conflict of differing narratives can be "opportunities for innovation." [2]

Research Paradigm

Research paradigms are the assumptions, norms, and standards underpinning different research approaches. Essentially, research paradigms are the "worldviews" that inform research. [4] It is valuable for qualitative and quantitative researchers to understand what paradigm they are working within because understanding the theoretical basis of research paradigms allows researchers to understand the strengths and weaknesses of the approach being used and adjust accordingly. Different paradigms have different ontologies and epistemologies. Ontology is defined as the "assumptions about the nature of reality,” whereas epistemology is defined as the "assumptions about the nature of knowledge" that inform researchers' work. [2] It is essential to understand the ontological and epistemological foundations of the research paradigm researchers are working within to allow for a complete understanding of the approach being used and the assumptions that underpin the approach as a whole. Further, researchers must understand their own ontological and epistemological assumptions about the world in general because their assumptions about the world will necessarily impact how they interact with research. A discussion of the research paradigm is not complete without describing positivist, postpositivist, and constructivist philosophies.

Positivist versus postpositivist

To further understand qualitative research, we must discuss positivist and postpositivist frameworks. Positivism is a philosophy that the scientific method can and should be applied to social and natural sciences. [4] Essentially, positivist thinking insists that the social sciences should use natural science methods in their research. It stems from positivist ontology, that there is an objective reality that exists that is wholly independent of our perception of the world as individuals. Quantitative research is rooted in positivist philosophy, which can be seen in the value it places on concepts such as causality, generalizability, and replicability.

Conversely, postpositivists argue that social reality can never be one hundred percent explained, but could be approximated. [4] Indeed, qualitative researchers have been insisting that there are “fundamental limits to the extent to which the methods and procedures of the natural sciences could be applied to the social world,” and therefore, postpositivist philosophy is often associated with qualitative research. [4] An example of positivist versus postpositivist values in research might be that positivist philosophies value hypothesis-testing, whereas postpositivist philosophies value the ability to formulate a substantive theory.

Constructivist

Constructivism is a subcategory of postpositivism. Most researchers invested in postpositivist research are also constructivist, meaning they think there is no objective external reality that exists but instead that reality is constructed. Constructivism is a theoretical lens that emphasizes the dynamic nature of our world. "Constructivism contends that individuals' views are directly influenced by their experiences, and it is these individual experiences and views that shape their perspective of reality.” [6]  constructivist thought focuses on how "reality" is not a fixed certainty and how experiences, interactions, and backgrounds give people a unique view of the world. Constructivism contends, unlike positivist views, that there is not necessarily an "objective"reality we all experience. This is the ‘relativist’ ontological view that reality and our world are dynamic and socially constructed. Therefore, qualitative scientific knowledge can be inductive as well as deductive.” [4]

So why is it important to understand the differences in assumptions that different philosophies and approaches to research have? Fundamentally, the assumptions underpinning the research tools a researcher selects provide an overall base for the assumptions the rest of the research will have. It can even change the role of the researchers. [2] For example, is the researcher an "objective" observer, such as in positivist quantitative work? Or is the researcher an active participant in the research, as in postpositivist qualitative work? Understanding the philosophical base of the study undertaken allows researchers to fully understand the implications of their work and their role within the research and reflect on their positionality and bias as it pertains to the research they are conducting.

Data Sampling 

The better the sample represents the intended study population, the more likely the researcher is to encompass the varying factors. The following are examples of participant sampling and selection: [7]

• Purposive sampling- selection based on the researcher’s rationale for being the most informative.
• Criterion sampling selection based on pre-identified factors.
• Convenience sampling- selection based on availability.
• Snowball sampling- the selection is by referral from other participants or people who know potential participants.
• Extreme case sampling- targeted selection of rare cases.
• Typical case sampling selection based on regular or average participants. 

Data Collection and Analysis

Qualitative research uses several techniques, including interviews, focus groups, and observation. [1] [2] [3] Interviews may be unstructured, with open-ended questions on a topic, and the interviewer adapts to the responses. Structured interviews have a predetermined number of questions that every participant is asked. It is usually one-on-one and appropriate for sensitive topics or topics needing an in-depth exploration. Focus groups are often held with 8-12 target participants and are used when group dynamics and collective views on a topic are desired. Researchers can be participant-observers to share the experiences of the subject or non-participants or detached observers.

While quantitative research design prescribes a controlled environment for data collection, qualitative data collection may be in a central location or the participants' environment, depending on the study goals and design. Qualitative research could amount to a large amount of data. Data is transcribed, which may then be coded manually or using computer-assisted qualitative data analysis software or CAQDAS such as ATLAS.ti or NVivo. [8] [9] [10]

After the coding process, qualitative research results could be in various formats. It could be a synthesis and interpretation presented with excerpts from the data. [11] Results could also be in the form of themes and theory or model development.

Dissemination

The healthcare team can use two reporting standards to standardize and facilitate the dissemination of qualitative research outcomes. The Consolidated Criteria for Reporting Qualitative Research or COREQ is a 32-item checklist for interviews and focus groups. [12] The Standards for Reporting Qualitative Research (SRQR) is a checklist covering a more comprehensive range of qualitative research. [13]

Applications

Many times, a research question will start with qualitative research. The qualitative research will help generate the research hypothesis, which can be tested with quantitative methods. After the data is collected and analyzed with quantitative methods, a set of qualitative methods can be used to dive deeper into the data to better understand what the numbers truly mean and their implications. The qualitative techniques can then help clarify the quantitative data and also help refine the hypothesis for future research. Furthermore, with qualitative research, researchers can explore poorly studied subjects with quantitative methods. These include opinions, individual actions, and social science research.

An excellent qualitative study design starts with a goal or objective. This should be clearly defined or stated. The target population needs to be specified. A method for obtaining information from the study population must be carefully detailed to ensure no omissions of part of the target population. A proper collection method should be selected that will help obtain the desired information without overly limiting the collected data because, often, the information sought is not well categorized or obtained. Finally, the design should ensure adequate methods for analyzing the data. An example may help better clarify some of the various aspects of qualitative research.

A researcher wants to decrease the number of teenagers who smoke in their community. The researcher could begin by asking current teen smokers why they started smoking through structured or unstructured interviews (qualitative research). The researcher can also get together a group of current teenage smokers and conduct a focus group to help brainstorm factors that may have prevented them from starting to smoke (qualitative research).

In this example, the researcher has used qualitative research methods (interviews and focus groups) to generate a list of ideas of why teens start to smoke and factors that may have prevented them from starting to smoke. Next, the researcher compiles this data. The research found that, hypothetically, peer pressure, health issues, cost, being considered "cool," and rebellious behavior all might increase or decrease the likelihood of teens starting to smoke.

The researcher creates a survey asking teen participants to rank how important each of the above factors is in either starting smoking (for current smokers) or not smoking (for current nonsmokers). This survey provides specific numbers (ranked importance of each factor) and is thus a quantitative research tool.

The researcher can use the survey results to focus efforts on the one or two highest-ranked factors. Let us say the researcher found that health was the primary factor that keeps teens from starting to smoke, and peer pressure was the primary factor that contributed to teens starting smoking. The researcher can go back to qualitative research methods to dive deeper into these for more information. The researcher wants to focus on keeping teens from starting to smoke, so they focus on the peer pressure aspect.

The researcher can conduct interviews and focus groups (qualitative research) about what types and forms of peer pressure are commonly encountered, where the peer pressure comes from, and where smoking starts. The researcher hypothetically finds that peer pressure often occurs after school at the local teen hangouts, mostly in the local park. The researcher also hypothetically finds that peer pressure comes from older, current smokers who provide the cigarettes.

The researcher could further explore this observation made at the local teen hangouts (qualitative research) and take notes regarding who is smoking, who is not, and what observable factors are at play for peer pressure to smoke. The researcher finds a local park where many local teenagers hang out and sees that the smokers tend to hang out in a shady, overgrown area of the park. The researcher notes that smoking teenagers buy their cigarettes from a local convenience store adjacent to the park, where the clerk does not check identification before selling cigarettes. These observations fall under qualitative research.

If the researcher returns to the park and counts how many individuals smoke in each region, this numerical data would be quantitative research. Based on the researcher's efforts thus far, they conclude that local teen smoking and teenagers who start to smoke may decrease if there are fewer overgrown areas of the park and the local convenience store does not sell cigarettes to underage individuals.

The researcher could try to have the parks department reassess the shady areas to make them less conducive to smokers or identify how to limit the sales of cigarettes to underage individuals by the convenience store. The researcher would then cycle back to qualitative methods of asking at-risk populations their perceptions of the changes and what factors are still at play, and quantitative research that includes teen smoking rates in the community and the incidence of new teen smokers, among others. [14] [15]

Qualitative research functions as a standalone research design or combined with quantitative research to enhance our understanding of the world. Qualitative research uses techniques including structured and unstructured interviews, focus groups, and participant observation not only to help generate hypotheses that can be more rigorously tested with quantitative research but also to help researchers delve deeper into the quantitative research numbers, understand what they mean, and understand what the implications are. Qualitative research allows researchers to understand what is going on, especially when things are not easily categorized. [16]

• Issues of Concern

As discussed in the sections above, quantitative and qualitative work differ in many ways, including the evaluation criteria. There are four well-established criteria for evaluating quantitative data: internal validity, external validity, reliability, and objectivity. Credibility, transferability, dependability, and confirmability are the correlating concepts in qualitative research. [4] [11] The corresponding quantitative and qualitative concepts can be seen below, with the quantitative concept on the left and the qualitative concept on the right:

• Internal validity: Credibility
• External validity: Transferability
• Reliability: Dependability
• Objectivity: Confirmability

In conducting qualitative research, ensuring these concepts are satisfied and well thought out can mitigate potential issues from arising. For example, just as a researcher will ensure that their quantitative study is internally valid, qualitative researchers should ensure that their work has credibility. 

Indicators such as triangulation and peer examination can help evaluate the credibility of qualitative work.

• Triangulation: Triangulation involves using multiple data collection methods to increase the likelihood of getting a reliable and accurate result. In our above magic example, the result would be more reliable if we interviewed the magician, backstage hand, and the person who "vanished." In qualitative research, triangulation can include telephone surveys, in-person surveys, focus groups, and interviews and surveying an adequate cross-section of the target demographic.
• Peer examination: A peer can review results to ensure the data is consistent with the findings.

A "thick" or "rich" description can be used to evaluate the transferability of qualitative research, whereas an indicator such as an audit trail might help evaluate the dependability and confirmability.

• Thick or rich description:  This is a detailed and thorough description of details, the setting, and quotes from participants in the research. [5] Thick descriptions will include a detailed explanation of how the study was conducted. Thick descriptions are detailed enough to allow readers to draw conclusions and interpret the data, which can help with transferability and replicability.
• Audit trail: An audit trail provides a documented set of steps of how the participants were selected and the data was collected. The original information records should also be kept (eg, surveys, notes, recordings).

One issue of concern that qualitative researchers should consider is observation bias. Here are a few examples:

• Hawthorne effect: The effect is the change in participant behavior when they know they are being observed. Suppose a researcher wanted to identify factors that contribute to employee theft and tell the employees they will watch them to see what factors affect employee theft. In that case, one would suspect employee behavior would change when they know they are being protected.
• Observer-expectancy effect: Some participants change their behavior or responses to satisfy the researcher's desired effect. This happens unconsciously for the participant, so it is essential to eliminate or limit the transmission of the researcher's views.
• Artificial scenario effect: Some qualitative research occurs in contrived scenarios with preset goals. In such situations, the information may not be accurate because of the artificial nature of the scenario. The preset goals may limit the qualitative information obtained.
• Clinical Significance

Qualitative or quantitative research helps healthcare providers understand patients and the impact and challenges of the care they deliver. Qualitative research provides an opportunity to generate and refine hypotheses and delve deeper into the data generated by quantitative research. Qualitative research is not an island apart from quantitative research but an integral part of research methods to understand the world around us. [17]

• Enhancing Healthcare Team Outcomes

Qualitative research is essential for all healthcare team members as all are affected by qualitative research. Qualitative research may help develop a theory or a model for health research that can be further explored by quantitative research. Much of the qualitative research data acquisition is completed by numerous team members, including social workers, scientists, nurses, etc. Within each area of the medical field, there is copious ongoing qualitative research, including physician-patient interactions, nursing-patient interactions, patient-environment interactions, healthcare team function, patient information delivery, etc. 

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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.

This book is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) ( http://creativecommons.org/licenses/by-nc-nd/4.0/ ), which permits others to distribute the work, provided that the article is not altered or used commercially. You are not required to obtain permission to distribute this article, provided that you credit the author and journal.

• Cite this Page Tenny S, Brannan JM, Brannan GD. Qualitative Study. [Updated 2022 Sep 18]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan-.

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Types Of Qualitative Research

Last updated on: Dec 19, 2024

Types of Qualitative Research Methods with Examples

By: Caleb S.

15 min read

Reviewed By: Jacklyn H.

Published on: Jan 4, 2023

There are many ways to gather information about the people you interact with. Qualitative research is one method that focuses on gathering data about users, products, and services through direct communication.

Also,  qualitative research  has many different types, and each type can be used for a particular purpose. These flexible methods help researchers understand people's behavior, beliefs, and opinions.

So if you want to learn more about them, keep reading this blog until the end. You will find examples that will give you a better understanding of the different approaches.

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What is Qualitative Research?

Qualitative research is a method of collecting and analyzing non-numerical data. It allows in-depth investigation of a problem and generates new ideas for research. Content analysis is a widely used qualitative research technique.

The main purpose of qualitative research is to:

• Explore and explain the phenomena being studied and gain a new perspective.
• Understand the social reality of individuals.
• Generate theories and hypotheses.
• Give detailed descriptions and interpretations.

Furthermore, qualitative research is different from quantitative data analysis, which includes collecting and analyzing numerical information for statistical purposes. In qualitative studies, researchers look at how people feel instead of looking at facts or numbers to conclude.

Qualitative research is used in various fields, from social sciences to the humanities. Also, it is very inexpensive as compared to quantitative research.

Researchers use qualitative research methods to:

• Discover a problem.
• Develop a new product.
• Build and develop a new theory.

Moreover, qualitative research increases the data quality, and it is an open-ended methodology.

For Example:  The store did not have enough items that women would want, so fewer women were visiting. This was only understood by talking to the women and finding out why they didn't visit. There were more male products than female ones.

When to Use Qualitative Research?

Qualitative research is used to capture in-depth insights. Researchers use this type of research to get factual data. It should be used when you need to understand a situation or issue in depth.

Below are some points that show when qualitative research should be used.

• To develop a concept or create a new product, you need to investigate your product/brand or service. It helps to improve your marketing approach.
• You also need to recognize your talents and shortcomings to understand how to reach your target audience.
• It is important to investigate market demographics, segmentation, and client segments. Thus, you can obtain information on how others perceive your brand, company, or product.

Characteristics of Qualitative Research

Below are the main characteristics of qualitative research.

• Qualitative research methods often collect data from people who are experiencing challenges or problems.
• Qualitative researchers often collect data from different methods, such as interviews, observations, etc. This provides a complete understanding of the research topic.
• This research technique breaks down complicated problems into smaller, more manageable pieces that are easier to understand.

Qualitative Research Analysis

Qualitative data analysis is a process of examining data in order to understand it. This can be done by taking notes, recording videos or audio, taking pictures, or analyzing text documents. Text analysis is one of the most commonly used methods for qualitative data analysis.

Text analysis is a data analysis method that is unique. Researchers analyze the social life of the participants and figure out what they are saying and doing.

The researchers analyzed the context in which images are used on social media platforms. They drew inferences from the images about what people share online. In the last decade, text analysis through social media has become popular.

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9 Types of Qualitative Research Methods with Examples

Qualitative data is collected to understand what people experience and how they react in different types of situations. Thus, the research process can be flexible depending on the desired goal.

There are different types of qualitative research methodologies used for data collection. Below are some common types of the qualitative research method.

A detailed description of the major qualitative research types is given below.

1. Focus Groups

Focus groups are often the most common type of research method used in marketing data collection.

The main advantage of sending online surveys is that you don't need to interact with people while collecting data. Instead, you can take an online survey on any device, and the responses are collected at the click of a button.

This research method is convenient for those who have no time or energy to talk in person about their opinion.

A focus group is one expensive qualitative research method compared to other methods like surveys, interviews, and observation. It is used when the researcher does market research on new products or conducts concept tests with a larger audience.

Below are the main elements of the focus group for your better understanding.

For Example:  A group of people who live near where an agency wants to open a group home for disabled adults. Thus, they get together to discuss their concerns. They are worried about noise, traffic, and the impact on their property values. They also wonder if this is a good idea and whether it will be successful.

2. Ethnographic Research

Ethnographic research is the method that studies people’s behavior. First, the observer must understand their environment and how it may influence a participant's natural behaviors.

This research design will help you better know the challenges, cultures, and settings that occur. Also, it does not completely depend on interviews or discussions with participants about what they experience firsthand in their natural setting.

Moreover, it requires in-depth observation and solely depends on the researcher’s expertise. This research method is time-consuming and challenging and can last from a few days to a few years.

The table displays the key components of ethnography.

For Example:  An anthropologist traveling to an island and living there for a number of years. The anthropologist would study and take part in the culture of the people on the island during this time period.

3. Case Study Research

It is another type of qualitative research, and this method has developed over the past few years. This method is valuable and used for explaining an organization, business, situation, or entity.

Also, case study research is used within various disciplines, including education, law, health, social sciences, etc.

Moreover, this research method is useful for examining data at the micro-level. The nature of this method can be explanatory or exploratory.

Data is collected in an extended period of time, month/week/day. In multiple case studies, the data could be:

• Parallel case
• Sequential case

Further, it is the most suitable method for obtaining in-depth knowledge of a specific issue.

The following is a list of the main elements of a case study research that will help you better understand it.

For Example:  Iris Brown was a railroad employee who had an accident where a metal rod went through his head. The rod damaged important parts of his brain, which changed both his personality and behavior.

4. Phenomenological Method

The phenomenological approach explores the experiences of specific phenomena. It is focused on subjective experience rather than objective information. This method uses interviews and relies on other sources of data collection like surveys, participant observation, etc.

Businesses use this method to develop processes for sales representatives, and it is a perception-based research method.

The main characteristics of the phenomenological method are:

For Example:  It has not been easy to lose family members to Covid-19. Studying the survivors and people who have lost loved ones can help us understand how people cope and the long-term effects of trauma.

5. Grounded Theory Method

The grounded theory method is a popular data collection method that explains why particular actions evolved the way they did. Also, this method looks at large subject numbers.

Businesses use grounded theory when conducting customer surveys that target their customers' usage of company products or services. It helps companies maintain good relationships with their customers and retain loyalty for future purchases.

The table below can help you understand the different aspects of a grounded theory method.

For Example: The HR department uses grounded theory to study employee problems. Employees can explain what they feel is lacking in their work. The HR department gathers this data, examines the results to discover their problems' root causes, and presents solutions.

6. Historical Method

The historical method is a unique way to better understand the present from the past. On hypothetical data, the research question’s answers are based.

The main purpose of this method is to:

• Use and explain past events.
• Analyze the effects of the past on the present and future events.
• Predict future events.

However, one of the main data sources for this method is reviewing relevant literature. Oral sources may also be used as well.

The below table provides information on the historical method.

For Example:  To create new ads, businesses can use data from past ad campaigns and information about the target audience.

7. Narrative Method

The narrative research method allows people to narrate stories about their lived experiences. Narratives can be a powerful tool for exploring one's personal experiences. They are often used in psychology research because respondents have the opportunity to speak about their inner thoughts, emotions, etc.

Also, it could lead researchers on new paths of discovery that they might never find using traditional methods.

Take a look at this table and better understand this method.

For Example:  This method can be used to know the different challenges the target audience faces. This involves understanding the story of the customer and their experience with your product.

8. Record-Keeping

This approach uses pre-existing, reliable documents and other sources of information to help with future studies. Just like you might use a library to find books and other references for your research. This approach uses information that is already available to help you out.

This table gives you a clear idea about this method.

For Example:  This method uses information that is already known and reliable. It is similar to going to a library where you can look at books and other reference material to find information.

9. Oral History

Oral history research method involves getting people to talk about their own experiences. This is done by interviewing people and recording their stories in audio, video, or text form. Oral history is helpful for future researchers because it stores the interviews in an archive.

For Example:  It includes interviewing people from different backgrounds and gathering information.

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Types of Qualitative Research Questions

Qualitative research questions explore or describe phenomena and do not provide a nomothetic explanation. They are open-ended questions and are used for data collection.

The following are the three types of qualitative research questions:

Predictive Questions: This type of question uses past information and understands the future outcome.

Exploratory Questions: These questions are used to understand the topic without influencing the results.

Interpretive Questions: They gather feedback without affecting the outcome of a group's behavior.

Keep in mind; that qualitative research questions are changed throughout the study. Just try to make easily understandable questions so the participant gives answers quickly.

Types of Qualitative Research Examples

Examples are a great way to learn about qualitative research. You can find examples of research that other people have done. It will help you understand the process and get started on your own research.

Ethnography Qualitative Research Example

Focus Group Qualitative Research Example

Grounded Theory Qualitative Research Example

Case Study Qualitative Research Example

Phenomenological Qualitative Research Example

Narrative Qualitative Research Example

Historical Qualitative Research Example

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Frequently Asked Questions

What are the 8 characteristics of qualitative research.

Here are the 8 characteristics of qualitative research:

• Different research methods.
• Reflexivity.
• Complex reasoning.
• On-going data analysis.
• Emergent design.
• Natural setting.
• Holistic account.

What is the best example of qualitative research?

The best example of qualitative research is unstructured interviews. This type of interview provides the opportunity for respondents to talk at length, choosing their own words. Also, conduct in-depth interviews and gather meaningful data.

What is the difference between a qualitative and quantitative study?

Quantitative research is focused on numbers and statistics, while qualitative research deals with opinions and behaviors. In addition, qualitative studies are exploratory, whereas quantitative studies focus more on examination.

Why should we use qualitative methods?

Qualitative methods should be utilized since they are the greatest way to discover directly from people what is important to them. It provides a deep understanding of the quantitative findings that identify variables that should be researched in the future.

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Home » Qualitative Research – Methods, Analysis Types and Guide

Qualitative Research – Methods, Analysis Types and Guide

Table of Contents

Qualitative research is a method of inquiry that seeks to understand human experiences, behaviors, and interactions by exploring them in-depth. Unlike quantitative research, which focuses on numerical data, qualitative research delves into meanings, perceptions, and subjective experiences. It is widely used in fields such as sociology, psychology, education, healthcare, and business to uncover insights that are difficult to capture through numerical data.

This article explores the methods of qualitative research, types of qualitative analysis, and a comprehensive guide to conducting a qualitative study.

Qualitative Research

Qualitative research is a non-numerical method of data collection and analysis that focuses on understanding phenomena from the perspective of participants. It prioritizes depth over breadth and aims to explore the “why” and “how” behind human behaviors and social phenomena.

For example, qualitative research might examine how individuals cope with chronic illness by conducting interviews to explore their experiences and emotions in detail.

Characteristics of Qualitative Research

• Exploratory Nature: Focuses on exploring new areas of study or understanding complex phenomena.
• Contextual Understanding: Emphasizes the importance of context in interpreting findings.
• Subjectivity: Values participants’ perspectives and experiences as central to the research.
• Flexibility: Allows for adjustments to research design based on emerging insights.
• Rich Data: Produces detailed and nuanced descriptions rather than numerical summaries.

Methods of Qualitative Research

1. interviews.

Interviews involve one-on-one conversations between the researcher and participants to gather in-depth insights.

• Types: Structured, semi-structured, or unstructured interviews.
• Example: Interviewing teachers to understand their experiences with online education.

2. Focus Groups

Focus groups consist of facilitated discussions with small groups of participants to explore shared experiences or perspectives.

• Example: Conducting a focus group with patients to understand their satisfaction with healthcare services.

3. Observation

Observation involves studying participants in their natural environment to capture behaviors, interactions, and contexts.

• Types: Participant observation (researcher participates) and non-participant observation (researcher observes without involvement).
• Example: Observing interactions in a classroom to understand teaching dynamics.

4. Case Studies

Case studies provide an in-depth examination of a single individual, group, event, or organization.

• Example: Analyzing the impact of a leadership change within a specific company.

5. Ethnography

Ethnography focuses on studying cultural practices and social norms by immersing the researcher in the community.

• Example: Exploring the cultural traditions of an indigenous group through prolonged fieldwork.

6. Document Analysis

Document analysis involves analyzing written or visual materials, such as reports, diaries, photographs, or social media posts.

• Example: Reviewing company policies to understand workplace diversity practices.

7. Narrative Research

Narrative research examines personal stories and experiences to understand individual perspectives.

• Example: Analyzing the life stories of refugees to explore their resilience and adaptation processes.

Types of Qualitative Data Analysis

1. thematic analysis.

Thematic analysis involves identifying, analyzing, and reporting patterns (themes) within qualitative data.

• Steps: Familiarization, coding, theme identification, and interpretation.
• Example: Analyzing interview transcripts to uncover themes related to work-life balance.

2. Content Analysis

Content analysis systematically categorizes textual or visual data to identify patterns and themes.

• Example: Analyzing social media comments to explore public opinions on environmental policies.

3. Grounded Theory

Grounded theory focuses on developing a theory grounded in the data collected.

• Steps: Open coding, axial coding, and selective coding.
• Example: Developing a theory about customer satisfaction based on retail feedback.

4. Narrative Analysis

Narrative analysis examines the structure and content of personal stories to uncover meaning.

• Example: Analyzing interviews with survivors of natural disasters to understand coping strategies.

5. Discourse Analysis

Discourse analysis explores how language is used in specific contexts to construct meaning and social realities.

• Example: Analyzing political speeches to identify persuasive strategies.

6. Framework Analysis

Framework analysis uses a structured approach to analyze data within a thematic framework.

• Example: Evaluating healthcare professionals’ experiences with new policies using predefined themes.

7. Phenomenological Analysis

Phenomenological analysis focuses on understanding the lived experiences of participants.

• Example: Exploring the experiences of first-time parents to understand emotional transitions.

Guide to Conducting Qualitative Research

Step 1: define the research problem.

Clearly articulate the purpose of your study and the research questions you aim to address.

• Example: “What are the experiences of remote workers during the COVID-19 pandemic?”

Step 2: Choose a Research Method

Select a method that aligns with your research objectives and the nature of the phenomenon.

• Example: Conducting semi-structured interviews to gather personal insights.

Step 3: Identify Participants

Choose participants who can provide rich and relevant data for your study.

• Example: Selecting remote workers from diverse industries to capture varied perspectives.

Step 4: Collect Data

Use the chosen method to gather detailed and context-rich data.

• Example: Conducting interviews via video calls and recording responses for analysis.

Step 5: Analyze Data

Apply an appropriate qualitative analysis method to identify patterns, themes, or insights.

• Example: Using thematic analysis to group common challenges faced by remote workers.

Step 6: Interpret Findings

Contextualize your findings within the existing literature and draw meaningful conclusions.

• Example: Comparing your findings on remote work challenges with studies conducted pre-pandemic.

Step 7: Present Results

Communicate your results clearly, using direct quotes, narratives, or visualizations to support your findings.

Advantages of Qualitative Research

• Rich Insights: Provides deep understanding of complex phenomena.
• Flexibility: Adapts to the research context and emerging findings.
• Contextual Detail: Captures the nuances of participants’ experiences and environments.
• Exploratory Nature: Ideal for exploring new or poorly understood topics.

Challenges of Qualitative Research

• Time-Intensive: Data collection and analysis can be lengthy processes.
• Subjectivity: Risk of researcher bias influencing data interpretation.
• Generalizability: Findings are context-specific and may not apply universally.
• Data Management: Handling and analyzing large volumes of qualitative data can be challenging.

Applications of Qualitative Research

• Healthcare: Understanding patient experiences with chronic illnesses.
• Education: Exploring teacher perceptions of new classroom technologies.
• Marketing: Investigating consumer attitudes toward a brand.
• Social Work: Analyzing community responses to social programs.
• Psychology: Examining coping mechanisms among individuals facing trauma.

Qualitative research is a powerful method for exploring the human experience and understanding complex social phenomena. By employing diverse methods such as interviews, focus groups, and ethnography, and using robust analytical techniques, qualitative researchers uncover rich, detailed insights that are essential for addressing real-world challenges. Although it requires careful planning, execution, and interpretation, qualitative research offers unparalleled depth and contextual understanding, making it indispensable across disciplines.

• Creswell, J. W., & Poth, C. N. (2018). Qualitative Inquiry and Research Design: Choosing Among Five Approaches . Sage Publications.
• Flick, U. (2018). An Introduction to Qualitative Research . Sage Publications.
• Denzin, N. K., & Lincoln, Y. S. (2017). The Sage Handbook of Qualitative Research . Sage Publications.
• Merriam, S. B. (2009). Qualitative Research: A Guide to Design and Implementation . Jossey-Bass.
• Braun, V., & Clarke, V. (2006). Using Thematic Analysis in Psychology . Qualitative Research in Psychology.

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