qualitative research question stems

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

• Introduction and overview
• What is qualitative research?
• What is qualitative data?
• Examples of qualitative data
• Qualitative vs. quantitative research
• Mixed methods
• Qualitative research preparation
• Theoretical perspective
• Theoretical framework
• Literature reviews
• Introduction

Why are research questions so important?

Research question examples, types of qualitative research questions, writing a good research question, guiding your research through research questions.

• 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

Research questions

The research question plays a critical role in the research process, as it guides the study design, data collection , analysis , and interpretation of the findings.

A research paper relies on a research question to inform readers of the research topic and the research problem being addressed. Without such a question, your audience may have trouble understanding the rationale for your research project.

People can take for granted the research question as an essential part of a research project. However, explicitly detailing why researchers need a research question can help lend clarity to the research project. Here are some of the key roles that the research question plays in the research process:

Defines the scope and focus of the study

The research question helps to define the scope and focus of the study. It identifies the specific topic or issue that the researcher wants to investigate, and it sets the boundaries for the study. A research question can also help you determine if your study primarily contributes to theory or is more applied in nature. Clinical research and public health research, for example, may be more concerned with research questions that contribute to practice, while a research question focused on cognitive linguistics are aimed at developing theory.

Provides a rationale for the study

The research question provides a rationale for the study by identifying a gap or problem in existing literature or practice that the researcher wants to address. It articulates the purpose and significance of the study, and it explains why the study is important and worth conducting.

Guides the study design

The research question guides the study design by helping the researcher select appropriate research methods , sampling strategies, and data collection tools. It also helps to determine the types of data that need to be collected and the best ways to analyze and interpret the data because the principal aim of the study is to provide an answer to that research question.

Shapes the data analysis and interpretation

The research question shapes the data analysis and interpretation by guiding the selection of appropriate analytical methods and by focusing the interpretation of the findings. It helps to identify which patterns and themes in the data are more relevant and worth digging into, and it guides the development of conclusions and recommendations based on the findings.

Generates new knowledge

The research question is the starting point for generating new knowledge. By answering the research question, the researcher contributes to the body of knowledge in the field and helps to advance the understanding of the topic or issue under investigation.

Overall, the research question is a critical component of the research process, as it guides the study from start to finish and provides a foundation for generating new knowledge.

Supports the thesis statement

The thesis statement or main assertion in any research paper stems from the answers to the research question. As a result, you can think of a focused research question as a preview of what the study aims to present as a new contribution to existing knowledge.

Here area few examples of focused research questions that can help set the stage for explaining different types of research questions in qualitative research . These questions touch upon various fields and subjects, showcasing the versatility and depth of research.

• What factors contribute to the job satisfaction of remote workers in the technology industry?
• How do teachers perceive the implementation of technology in the classroom, and what challenges do they face?
• What coping strategies do refugees use to deal with the challenges of resettlement in a new country?
• How does gentrification impact the sense of community and identity among long-term residents in urban neighborhoods?
• In what ways do social media platforms influence body image and self-esteem among adolescents?
• How do family dynamics and communication patterns affect the management of type 2 diabetes in adult patients?
• What is the role of mentorship in the professional development and career success of early-career academics?
• How do patients with chronic illnesses experience and navigate the healthcare system, and what barriers do they encounter?
• What are the motivations and experiences of volunteers in disaster relief efforts, and how do these experiences impact their future involvement in humanitarian work?
• How do cultural beliefs and values shape the consumer preferences and purchasing behavior of young adults in a globalized market?
• How do individuals whose genetic factors predict a high risk for developing a specific medical condition perceive, cope with, and make lifestyle choices based on this information?

These example research questions highlight the different kinds of inquiries common to qualitative research. They also demonstrate how qualitative research can address a wide range of topics, from understanding the experiences of specific populations to examining the impact of broader social and cultural phenomena.

Also, notice that these types of research questions tend to be geared towards inductive analyses that describe a concept in depth or develop new theory. As such, qualitative research questions tend to ask "what," "why," or "how" types of questions. This contrasts with quantitative research questions that typically aim to verify an existing theory. and tend to ask "when," "how much," and "why" types of questions to nail down causal mechanisms and generalizable findings.

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As you can see above, the research questions you ask play a critical role in shaping the direction and depth of your study. These questions are designed to explore, understand, and interpret social phenomena, rather than testing a hypothesis or quantifying data like in quantitative research. In this section, we will discuss the various types of research questions typically found in qualitative research, making it easier for you to craft appropriate questions for your study.

Descriptive questions

Descriptive research questions aim to provide a detailed account of the phenomenon being studied. These questions usually begin with "what" or "how" and seek to understand the nature, characteristics, or functions of a subject. For example, "What are the experiences of first-generation college students?" or "How do small business owners adapt to economic downturns?"

Comparative questions

Comparative questions seek to examine the similarities and differences between two or more groups, cases, or phenomena. These questions often include the words "compare," "contrast," or "differences." For example, "How do parenting practices differ between single-parent and two-parent families?" or "What are the similarities and differences in leadership styles among successful female entrepreneurs?"

Exploratory questions

Exploratory research questions are open-ended and intended to investigate new or understudied areas. These questions aim to identify patterns, relationships, or themes that may warrant further investigation. For example, "How do teenagers use social media to construct their identities?" or "What factors influence the adoption of renewable energy technologies in rural communities?"

Explanatory questions

Explanatory research questions delve deeper into the reasons or explanations behind a particular phenomenon or behavior. They often start with "why" or "how" and aim to uncover underlying motivations, beliefs, or processes. For example, "Why do some employees resist organizational change?" or "How do cultural factors influence decision-making in international business negotiations?"

Evaluative questions

Evaluative questions assess the effectiveness, impact, or outcomes of a particular intervention, program, or policy. They seek to understand the value or significance of an initiative by examining its successes, challenges, or unintended consequences. For example, "How effective is the school's anti-bullying program in reducing incidents of bullying?" or "What are the long-term impacts of a community-based health promotion campaign on residents' well-being?"

Interpretive questions

Interpretive questions focus on understanding how individuals or groups make sense of their experiences, actions, or social contexts. These questions often involve the analysis of language, symbols, or narratives to uncover the meanings and perspectives that shape human behavior. For example, "How do cancer survivors make sense of their illness journey?" or "What meanings do members of a religious community attach to their rituals and practices?"

There are mainly two overarching ways to think about how to devise a research question. Many studies are built on existing research, but others can be founded on personal experiences or pilot research.

Using the literature review

Within scholarly research, the research question is often built from your literature review . An analysis of the relevant literature reporting previous studies should allow you to identify contextual, theoretical, or methodological gaps that can be addressed in future research.

A compelling research question built on a robust literature review ultimately illustrates to your audience what is novel about your study's objectives.

Conducting pilot research

Researchers may conduct preliminary research or pilot research when they are interested in a particular topic but don't yet have a basis for forming a research question on that topic. A pilot study is a small-scale, preliminary study that is conducted in order to test the feasibility of a research design, methods, and procedures. It can help identify unresolved puzzles that merit further investigation, and pilot studies can draw attention to potential issues or problems that may arise in the full study.

One potential benefit of conducting a pilot study in qualitative research is that it can help the researcher to refine their research question. By collecting and analyzing a small amount of data, the researcher can get a better sense of the phenomenon under investigation and can develop a more focused and refined research question for the full study. The pilot study can also help the researcher to identify key themes, concepts, or variables that should be included in the research question.

In addition to helping to refine the research question, a pilot study can also help the researcher to develop a more effective data collection and analysis plan. The researcher can test different methods for collecting and analyzing data, and can make adjustments based on the results of the pilot study. This can help to ensure that the full study is conducted in the most effective and efficient manner possible.

Overall, conducting a pilot study in qualitative research can be a valuable tool for refining the research question and developing a more effective research design, methods, and procedures. It can help to ensure that the full study is conducted in a rigorous and effective manner, and can increase the likelihood of generating meaningful and useful findings.

When you write a research question for your qualitative study, consider which type of question best aligns with your research objectives and the nature of the phenomenon you are investigating. Remember, qualitative research questions should be open-ended, allowing for a range of perspectives and insights to emerge. As you progress in your research, these questions may evolve or be refined based on the data you collect, helping to guide your analysis and deepen your understanding of the topic.

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Qualitative Research Questions: Gain Powerful Insights + 25 Examples

We review the basics of qualitative research questions, including their key components, how to craft them effectively, & 25 example questions.

Einstein was many things—a physicist, a philosopher, and, undoubtedly, a mastermind. He also had an incredible way with words. His quote, "Everything that can be counted does not necessarily count; everything that counts cannot necessarily be counted," is particularly poignant when it comes to research. 

Some inquiries call for a quantitative approach, for counting and measuring data in order to arrive at general conclusions. Other investigations, like qualitative research, rely on deep exploration and understanding of individual cases in order to develop a greater understanding of the whole. That’s what we’re going to focus on today.

Qualitative research questions focus on the "how" and "why" of things, rather than the "what". They ask about people's experiences and perceptions , and can be used to explore a wide range of topics.

The following article will discuss the basics of qualitative research questions, including their key components, and how to craft them effectively. You'll also find 25 examples of effective qualitative research questions you can use as inspiration for your own studies.

Let’s get started!

What are qualitative research questions, and when are they used?

When researchers set out to conduct a study on a certain topic, their research is chiefly directed by an overarching question . This question provides focus for the study and helps determine what kind of data will be collected.

By starting with a question, we gain parameters and objectives for our line of research. What are we studying? For what purpose? How will we know when we’ve achieved our goals?

Of course, some of these questions can be described as quantitative in nature. When a research question is quantitative, it usually seeks to measure or calculate something in a systematic way.

For example:

• How many people in our town use the library?
• What is the average income of families in our city?
• How much does the average person weigh?

Other research questions, however—and the ones we will be focusing on in this article—are qualitative in nature. Qualitative research questions are open-ended and seek to explore a given topic in-depth.

According to the Australian & New Zealand Journal of Psychiatry , “Qualitative research aims to address questions concerned with developing an understanding of the meaning and experience dimensions of humans’ lives and social worlds.”

This type of research can be used to gain a better understanding of people’s thoughts, feelings and experiences by “addressing questions beyond ‘what works’, towards ‘what works for whom when, how and why, and focusing on intervention improvement rather than accreditation,” states one paper in Neurological Research and Practice .

Qualitative questions often produce rich data that can help researchers develop hypotheses for further quantitative study.

• What are people’s thoughts on the new library?
• How does it feel to be a first-generation student at our school?
• How do people feel about the changes taking place in our town?

As stated by a paper in Human Reproduction , “...‘qualitative’ methods are used to answer questions about experience, meaning, and perspective, most often from the standpoint of the participant. These data are usually not amenable to counting or measuring.”

Both quantitative and qualitative questions have their uses; in fact, they often complement each other. A well-designed research study will include a mix of both types of questions in order to gain a fuller understanding of the topic at hand.

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Crafting qualitative research questions for powerful insights

Now that we have a basic understanding of what qualitative research questions are and when they are used, let’s take a look at how you can begin crafting your own.

According to a study in the International Journal of Qualitative Studies in Education, there is a certain process researchers should follow when crafting their questions, which we’ll explore in more depth.

1. Beginning the process 

Start with a point of interest or curiosity, and pose a draft question or ‘self-question’. What do you want to know about the topic at hand? What is your specific curiosity? You may find it helpful to begin by writing several questions.

For example, if you’re interested in understanding how your customer base feels about a recent change to your product, you might ask: 

• What made you decide to try the new product?
• How do you feel about the change?
• What do you think of the new design/functionality?
• What benefits do you see in the change?

2. Create one overarching, guiding question 

At this point, narrow down the draft questions into one specific question. “Sometimes, these broader research questions are not stated as questions, but rather as goals for the study.”

As an example of this, you might narrow down these three questions: 

into the following question: 

• What are our customers’ thoughts on the recent change to our product?

3. Theoretical framing 

As you read the relevant literature and apply theory to your research, the question should be altered to achieve better outcomes. Experts agree that pursuing a qualitative line of inquiry should open up the possibility for questioning your original theories and altering the conceptual framework with which the research began.

If we continue with the current example, it’s possible you may uncover new data that informs your research and changes your question. For instance, you may discover that customers’ feelings about the change are not just a reaction to the change itself, but also to how it was implemented. In this case, your question would need to reflect this new information: 

• How did customers react to the process of the change, as well as the change itself?

4. Ethical considerations 

A study in the International Journal of Qualitative Studies in Education stresses that ethics are “a central issue when a researcher proposes to study the lives of others, especially marginalized populations.” Consider how your question or inquiry will affect the people it relates to—their lives and their safety. Shape your question to avoid physical, emotional, or mental upset for the focus group.

In analyzing your question from this perspective, if you feel that it may cause harm, you should consider changing the question or ending your research project. Perhaps you’ve discovered that your question encourages harmful or invasive questioning, in which case you should reformulate it.

5. Writing the question 

The actual process of writing the question comes only after considering the above points. The purpose of crafting your research questions is to delve into what your study is specifically about” Remember that qualitative research questions are not trying to find the cause of an effect, but rather to explore the effect itself.

Your questions should be clear, concise, and understandable to those outside of your field. In addition, they should generate rich data. The questions you choose will also depend on the type of research you are conducting: 

• If you’re doing a phenomenological study, your questions might be open-ended, in order to allow participants to share their experiences in their own words.
• If you’re doing a grounded-theory study, your questions might be focused on generating a list of categories or themes.
• If you’re doing ethnography, your questions might be about understanding the culture you’re studying.

Whenyou have well-written questions, it is much easier to develop your research design and collect data that accurately reflects your inquiry.

In writing your questions, it may help you to refer to this simple flowchart process for constructing questions:

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25 examples of expertly crafted qualitative research questions

It's easy enough to cover the theory of writing a qualitative research question, but sometimes it's best if you can see the process in practice. In this section, we'll list 25 examples of B2B and B2C-related qualitative questions.

Let's begin with five questions. We'll show you the question, explain why it's considered qualitative, and then give you an example of how it can be used in research.

1. What is the customer's perception of our company's brand?

Qualitative research questions are often open-ended and invite respondents to share their thoughts and feelings on a subject. This question is qualitative because it seeks customer feedback on the company's brand. 

This question can be used in research to understand how customers feel about the company's branding, what they like and don't like about it, and whether they would recommend it to others.

2. Why do customers buy our product?

This question is also qualitative because it seeks to understand the customer's motivations for purchasing a product. It can be used in research to identify the reasons  customers buy a certain product, what needs or desires the product fulfills for them, and how they feel about the purchase after using the product.

3. How do our customers interact with our products?

Again, this question is qualitative because it seeks to understand customer behavior. In this case, it can be used in research to see how customers use the product, how they interact with it, and what emotions or thoughts the product evokes in them.

4. What are our customers' biggest frustrations with our products?

By seeking to understand customer frustrations, this question is qualitative and can provide valuable insights. It can be used in research to help identify areas in which the company needs to make improvements with its products.

5. How do our customers feel about our customer service?

Rather than asking why customers like or dislike something, this question asks how they feel. This qualitative question can provide insights into customer satisfaction or dissatisfaction with a company. 

This type of question can be used in research to understand what customers think of the company's customer service and whether they feel it meets their needs.

20 more examples to refer to when writing your question

Now that you’re aware of what makes certain questions qualitative, let's move into 20 more examples of qualitative research questions:

• How do your customers react when updates are made to your app interface?
• How do customers feel when they complete their purchase through your ecommerce site?
• What are your customers' main frustrations with your service?
• How do people feel about the quality of your products compared to those of your competitors?
• What motivates customers to refer their friends and family members to your product or service?
• What are the main benefits your customers receive from using your product or service?
• How do people feel when they finish a purchase on your website?
• What are the main motivations behind customer loyalty to your brand?
• How does your app make people feel emotionally?
• For younger generations using your app, how does it make them feel about themselves?
• What reputation do people associate with your brand?
• How inclusive do people find your app?
• In what ways are your customers' experiences unique to them?
• What are the main areas of improvement your customers would like to see in your product or service?
• How do people feel about their interactions with your tech team?
• What are the top five reasons people use your online marketplace?
• How does using your app make people feel in terms of connectedness?
• What emotions do people experience when they're using your product or service?
• Aside from the features of your product, what else about it attracts customers?
• How does your company culture make people feel?

As you can see, these kinds of questions are completely open-ended. In a way, they allow the research and discoveries made along the way to direct the research. The questions are merely a starting point from which to explore.

This video offers tips on how to write good qualitative research questions, produced by Qualitative Research Expert, Kimberly Baker.

Wrap-up: crafting your own qualitative research questions.

Over the course of this article, we've explored what qualitative research questions are, why they matter, and how they should be written. Hopefully you now have a clear understanding of how to craft your own.

Remember, qualitative research questions should always be designed to explore a certain experience or phenomena in-depth, in order to generate powerful insights. As you write your questions, be sure to keep the following in mind:

• Are you being inclusive of all relevant perspectives?
• Are your questions specific enough to generate clear answers?
• Will your questions allow for an in-depth exploration of the topic at hand?
• Do the questions reflect your research goals and objectives?

If you can answer "yes" to all of the questions above, and you've followed the tips for writing qualitative research questions we shared in this article, then you're well on your way to crafting powerful queries that will yield valuable insights.

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Developing a Research Question

From Laurier Library. 

Selecting and Narrowing a Topic

When starting out on your research, it is important to choose a research topic that is not only of interest to you, but can also be covered effectively in the space that you have available. You may not know right away what your research question is - that's okay! Start out with a broad topic, then conduct some background research to explore possibilities and narrow your topic to something more manageable.    

Choose an interesting general topic.  If you’re interested in your topic, others probably will be too! And your research will be a lot more fun. Once you have a general topic of interest, you can begin to explore more focused areas within that broad topic. 

Gather background information.  Do a few quick searches in OneSearch@IU  or in other relevant sources.  See what other researchers have already written to help narrow your focus.  

• What subtopics relate to the broader topic? 
• What questions do these sources raise?
• What piques your interest? What might you like to say about the topic? 

Consider your audience.  Who would be interested in this issue? For whom are you writing? 

Adapted from: George Mason University Writing Center. (2008). How to write a research question. Retrieved from  http://writingcenter.gmu.edu/writing-resources/wc-quick-guides  

From Topic to Research Question

Once you have done some background research and narrowed down your topic, you can begin to turn that topic into a research question that you will attempt to answer in the course of your research.  Keep in mind that your question may change as you gather more information and as you write. However, having some sense of your direction can help you evaluate sources and identify relevant information throughout your research process. 

Explore questions.

• Ask open-ended “how” and “why” questions about your general topic.  
• Consider the “so what?” of your topic. Why does this topic matter to you? Why should it matter to others?

Evaluate your research question. Use the following to determine if any of the questions you generated would be appropriate and workable for your assignment. 

• Is your question clear? Do you have a specific aspect of your general topic that you are going to explore further?   
• Is your question focused? Will you be able to cover the topic adequately in the space available?   
• Is your question sufficiently complex? (cannot be answered with a simple yes/no response, requires research and analysis)

Hypothesize.  Once you have developed your research question, consider how you will attempt to answer or address it. 

• If you are making an argument, what will you say?  
• Why does your argument matter?  
• What kinds of sources will you need in order to support your argument?  
• How might others challenge your argument?

Adapted from: George Mason University Writing Center. (2008). How to write a research question. Retrieved from http://writingcenter.gmu.edu/writing-resources/wc-quick-guides

Sample Research Questions

A good research question is clear, focused, and has an appropriate level of complexity. Developing a strong question is a process, so you will likely refine your question as you continue to research and to develop your ideas.  

Unclear : Why are social networking sites harmful?

Clear:  How are online users experiencing or addressing privacy issues on such social networking sites as MySpace and Facebook?

Unfocused:  What is the effect on the environment from global warming?

Focused:  How is glacial melting affecting penguins in Antarctica?

Simple vs Complex

Too simple:  How are doctors addressing diabetes in the U.S.?

Appropriately Complex:   What are common traits of those suffering from diabetes in America, and how can these commonalities be used to aid the medical community in prevention of the disease?

Adapted from: George Mason University Writing Center. (2008). How to write a research question. Retrieved from  http://writingcenter.gmu.edu/writing-resources/wc-quick-guides

General online reference sources.

Reference sources like dictionaries and encylopedias provide general information about various subjects. They also include definitions that may help you break down your topic and understand it better. Sources includes in these entries can be springboards for more in-depth research.

A note on citation: Reference sources are generally not cited since they usually consist of common knowledge (e.g. who was the first United States President).  But if you're unsure whether to cite something it's best to do so. Specific pieces of information and direct quotes should always be cited. 

Why Use References Sources

Reference sources are a great place to begin your research. They can help you:

• gain an overview of a topic
• explore potential research areas
• identify key issues, publications, or authors in your research area

From here, you can narrow your search topic and look at more specialized sources.

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• Published: 10 March 2020

Research and trends in STEM education: a systematic review of journal publications

• Yeping Li 1 ,
• Ke Wang 2 ,
• Yu Xiao 1 &
• Jeffrey E. Froyd 3  

International Journal of STEM Education volume  7 , Article number:  11 ( 2020 ) Cite this article

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With the rapid increase in the number of scholarly publications on STEM education in recent years, reviews of the status and trends in STEM education research internationally support the development of the field. For this review, we conducted a systematic analysis of 798 articles in STEM education published between 2000 and the end of 2018 in 36 journals to get an overview about developments in STEM education scholarship. We examined those selected journal publications both quantitatively and qualitatively, including the number of articles published, journals in which the articles were published, authorship nationality, and research topic and methods over the years. The results show that research in STEM education is increasing in importance internationally and that the identity of STEM education journals is becoming clearer over time.

Introduction

A recent review of 144 publications in the International Journal of STEM Education ( IJ - STEM ) showed how scholarship in science, technology, engineering, and mathematics (STEM) education developed between August 2014 and the end of 2018 through the lens of one journal (Li, Froyd, & Wang, 2019 ). The review of articles published in only one journal over a short period of time prompted the need to review the status and trends in STEM education research internationally by analyzing articles published in a wider range of journals over a longer period of time.

With global recognition of the growing importance of STEM education, we have witnessed the urgent need to support research and scholarship in STEM education (Li, 2014 , 2018a ). Researchers and educators have responded to this on-going call and published their scholarly work through many different publication outlets including journals, books, and conference proceedings. A simple Google search with the term “STEM,” “STEM education,” or “STEM education research” all returned more than 450,000,000 items. Such voluminous information shows the rapidly evolving and vibrant field of STEM education and sheds light on the volume of STEM education research. In any field, it is important to know and understand the status and trends in scholarship for the field to develop and be appropriately supported. This applies to STEM education.

Conducting systematic reviews to explore the status and trends in specific disciplines is common in educational research. For example, researchers surveyed the historical development of research in mathematics education (Kilpatrick, 1992 ) and studied patterns in technology usage in mathematics education (Bray & Tangney, 2017 ; Sokolowski, Li, & Willson, 2015 ). In science education, Tsai and his colleagues have conducted a sequence of reviews of journal articles to synthesize research trends in every 5 years since 1998 (i.e., 1998–2002, 2003–2007, 2008–2012, and 2013–2017), based on publications in three main science education journals including, Science Education , the International Journal of Science Education , and the Journal of Research in Science Teaching (e.g., Lin, Lin, Potvin, & Tsai, 2019 ; Tsai & Wen, 2005 ). Erduran, Ozdem, and Park ( 2015 ) reviewed argumentation in science education research from 1998 to 2014 and Minner, Levy, and Century ( 2010 ) reviewed inquiry-based science instruction between 1984 and 2002. There are also many literature reviews and syntheses in engineering and technology education (e.g., Borrego, Foster, & Froyd, 2015 ; Xu, Williams, Gu, & Zhang, 2019 ). All of these reviews have been well received in different fields of traditional disciplinary education as they critically appraise and summarize the state-of-art of relevant research in a field in general or with a specific focus. Both types of reviews have been conducted with different methods for identifying, collecting, and analyzing relevant publications, and they differ in terms of review aim and topic scope, time period, and ways of literature selection. In this review, we systematically analyze journal publications in STEM education research to overview STEM education scholarship development broadly and globally.

The complexity and ambiguity of examining the status and trends in STEM education research

A review of research development in a field is relatively straight forward, when the field is mature and its scope can be well defined. Unlike discipline-based education research (DBER, National Research Council, 2012 ), STEM education is not a well-defined field. Conducting a comprehensive literature review of STEM education research require careful thought and clearly specified scope to tackle the complexity naturally associated with STEM education. In the following sub-sections, we provide some further discussion.

Diverse perspectives about STEM and STEM education

STEM education as explicated by the term does not have a long history. The interest in helping students learn across STEM fields can be traced back to the 1990s when the US National Science Foundation (NSF) formally included engineering and technology with science and mathematics in undergraduate and K-12 school education (e.g., National Science Foundation, 1998 ). It coined the acronym SMET (science, mathematics, engineering, and technology) that was subsequently used by other agencies including the US Congress (e.g., United States Congress House Committee on Science, 1998 ). NSF also coined the acronym STEM to replace SMET (e.g., Christenson, 2011 ; Chute, 2009 ) and it has become the acronym of choice. However, a consensus has not been reached on the disciplines included within STEM.

To clarify its intent, NSF published a list of approved fields it considered under the umbrella of STEM (see http://bit.ly/2Bk1Yp5 ). The list not only includes disciplines widely considered under the STEM tent (called “core” disciplines, such as physics, chemistry, and materials research), but also includes disciplines in psychology and social sciences (e.g., political science, economics). However, NSF’s list of STEM fields is inconsistent with other federal agencies. Gonzalez and Kuenzi ( 2012 ) noted that at least two US agencies, the Department of Homeland Security and Immigration and Customs Enforcement, use a narrower definition that excludes social sciences. Researchers also view integration across different disciplines of STEM differently using various terms such as, multidisciplinary, interdisciplinary, and transdisciplinary (Vasquez, Sneider, & Comer, 2013 ). These are only two examples of the ambiguity and complexity in describing and specifying what constitutes STEM.

Multiple perspectives about the meaning of STEM education adds further complexity to determining the extent to which scholarly activity can be categorized as STEM education. For example, STEM education can be viewed with a broad and inclusive perspective to include education in the individual disciplines of STEM, i.e., science education, technology education, engineering education, and mathematics education, as well as interdisciplinary or cross-disciplinary combinations of the individual STEM disciplines (English, 2016 ; Li, 2014 ). On the other hand, STEM education can be viewed by others as referring only to interdisciplinary or cross-disciplinary combinations of the individual STEM disciplines (Honey, Pearson, & Schweingruber, 2014 ; Johnson, Peters-Burton, & Moore, 2015 ; Kelley & Knowles, 2016 ; Li, 2018a ). These multiple perspectives allow scholars to publish articles in a vast array and diverse journals, as long as journals are willing to take the position as connected with STEM education. At the same time, however, the situation presents considerable challenges for researchers intending to locate, identify, and classify publications as STEM education research. To tackle such challenges, we tried to find out what we can learn from prior reviews related to STEM education.

Guidance from prior reviews related to STEM education

A search for reviews of STEM education research found multiple reviews that could suggest approaches for identifying publications (e.g., Brown, 2012 ; Henderson, Beach, & Finkelstein, 2011 ; Kim, Sinatra, & Seyranian, 2018 ; Margot & Kettler, 2019 ; Minichiello, Hood, & Harkness, 2018 ; Mizell & Brown, 2016 ; Thibaut et al., 2018 ; Wu & Rau, 2019 ). The review conducted by Brown ( 2012 ) examined the research base of STEM education. He addressed the complexity and ambiguity by confining the review with publications in eight journals, two in each individual discipline, one academic research journal (e.g., the Journal of Research in Science Teaching ) and one practitioner journal (e.g., Science Teacher ). Journals were selected based on suggestions from some faculty members and K-12 teachers. Out of 1100 articles published in these eight journals from January 1, 2007, to October 1, 2010, Brown located 60 articles that authors self-identified as connected to STEM education. He found that the vast majority of these 60 articles focused on issues beyond an individual discipline and there was a research base forming for STEM education. In a follow-up study, Mizell and Brown ( 2016 ) reviewed articles published from January 2013 to October 2015 in the same eight journals plus two additional journals. Mizell and Brown used the same criteria to identify and include articles that authors self-identified as connected to STEM education, i.e., if the authors included STEM in the title or author-supplied keywords. In comparison to Brown’s findings, they found that many more STEM articles were published in a shorter time period and by scholars from many more different academic institutions. Taking together, both Brown ( 2012 ) and Mizell and Brown ( 2016 ) tended to suggest that STEM education mainly consists of interdisciplinary or cross-disciplinary combinations of the individual STEM disciplines, but their approach consisted of selecting a limited number of individual discipline-based journals and then selecting articles that authors self-identified as connected to STEM education.

In contrast to reviews on STEM education, in general, other reviews focused on specific issues in STEM education (e.g., Henderson et al., 2011 ; Kim et al., 2018 ; Margot & Kettler, 2019 ; Minichiello et al., 2018 ; Schreffler, Vasquez III, Chini, & James, 2019 ; Thibaut et al., 2018 ; Wu & Rau, 2019 ). For example, the review by Henderson et al. ( 2011 ) focused on instructional change in undergraduate STEM courses based on 191 conceptual and empirical journal articles published between 1995 and 2008. Margot and Kettler ( 2019 ) focused on what is known about teachers’ values, beliefs, perceived barriers, and needed support related to STEM education based on 25 empirical journal articles published between 2000 and 2016. The focus of these reviews allowed the researchers to limit the number of articles considered, and they typically used keyword searches of selected databases to identify articles on STEM education. Some researchers used this approach to identify publications from journals only (e.g., Henderson et al., 2011 ; Margot & Kettler, 2019 ; Schreffler et al., 2019 ), and others selected and reviewed publications beyond journals (e.g., Minichiello et al., 2018 ; Thibaut et al., 2018 ; Wu & Rau, 2019 ).

The discussion in this section suggests possible reasons contributing to the absence of a general literature review of STEM education research and development: (1) diverse perspectives in existence about STEM and STEM education that contribute to the difficulty of specifying a scope of literature review, (2) its short but rapid development history in comparison to other discipline-based education (e.g., science education), and (3) difficulties in deciding how to establish the scope of the literature review. With respect to the third reason, prior reviews have used one of two approaches to identify and select articles: (a) identifying specific journals first and then searching and selecting specific articles from these journals (e.g., Brown, 2012 ; Erduran et al., 2015 ; Mizell & Brown, 2016 ) and (b) conducting selected database searches with keywords based on a specific focus (e.g., Margot & Kettler, 2019 ; Thibaut et al., 2018 ). However, neither the first approach of selecting a limited number of individual discipline-based journals nor the second approach of selecting a specific focus for the review leads to an approach that provides a general overview of STEM education scholarship development based on existing journal publications.

Current review

Two issues were identified in setting the scope for this review.

What time period should be considered?

What publications will be selected for review?

Time period

We start with the easy one first. As discussed above, the acronym STEM did exist until the early 2000s. Although the existence of the acronym does not generate scholarship on student learning in STEM disciplines, it is symbolic and helps focus attention to efforts in STEM education. Since we want to examine the status and trends in STEM education, it is reasonable to start with the year 2000. Then, we can use the acronym of STEM as an identifier in locating specific research articles in a way as done by others (e.g., Brown, 2012 ; Mizell & Brown, 2016 ). We chose the end of 2018 as the end of the time period for our review that began during 2019.

Focusing on publications beyond individual discipline-based journals

As mentioned before, scholars responded to the call for scholarship development in STEM education with publications that appeared in various outlets and diverse languages, including journals, books, and conference proceedings. However, journal publications are typically credited and valued as one of the most important outlets for research exchange (e.g., Erduran et al., 2015 ; Henderson et al., 2011 ; Lin et al., 2019 ; Xu et al., 2019 ). Thus, in this review, we will also focus on articles published in journals in English.

The discourse above on the complexity and ambiguity regarding STEM education suggests that scholars may publish their research in a wide range of journals beyond individual discipline-based journals. To search and select articles from a wide range of journals, we thought about the approach of searching selected databases with keywords as other scholars used in reviewing STEM education with a specific focus. However, existing journals in STEM education do not have a long history. In fact, IJ-STEM is the first journal in STEM education that has just been accepted into the Social Sciences Citation Index (SSCI) (Li, 2019a ). Publications in many STEM education journals are practically not available in several important and popular databases, such as the Web of Science and Scopus. Moreover, some journals in STEM education were not normalized due to a journal’s name change or irregular publication schedule. For example, the Journal of STEM Education was named as Journal of SMET Education when it started in 2000 in a print format, and the journal’s name was not changed until 2003, Vol 4 (3 and 4), and also went fully on-line starting 2004 (Raju & Sankar, 2003 ). A simple Google Scholar search with keywords will not be able to provide accurate information, unless you visit the journal’s website to check all publications over the years. Those added complexities prevented us from taking the database search as a viable approach. Thus, we decided to identify journals first and then search and select articles from these journals. Further details about the approach are provided in the “ Method ” section.

Research questions

Given a broader range of journals and a longer period of time to be covered in this review, we can examine some of the same questions as the IJ-STEM review (Li, Froyd, & Wang, 2019 ), but we do not have access to data on readership, articles accessed, or articles cited for the other journals selected for this review. Specifically, we are interested in addressing the following six research questions:

What were the status and trends in STEM education research from 2000 to the end of 2018 based on journal publications?

What were the patterns of publications in STEM education research across different journals?

Which countries or regions, based on the countries or regions in which authors were located, contributed to journal publications in STEM education?

What were the patterns of single-author and multiple-author publications in STEM education?

What main topics had emerged in STEM education research based on the journal publications?

What research methods did authors tend to use in conducting STEM education research?

Based on the above discussion, we developed the methods for this literature review to follow careful sequential steps to identify journals first and then identify and select STEM education research articles published in these journals from January 2000 to the end of 2018. The methods should allow us to obtain a comprehensive overview about the status and trends of STEM education research based on a systematic analysis of related publications from a broad range of journals and over a longer period of time.

Identifying journals

We used the following three steps to search and identify journals for inclusion:

We assumed articles on research in STEM education have been published in journals that involve more than one traditional discipline. Thus, we used Google to search and identify all education journals with their titles containing either two, three, or all four disciplines of STEM. For example, we did Google search of all the different combinations of three areas of science, mathematics, technology Footnote 1 , and engineering as contained in a journal’s title. In addition, we also searched possible journals containing the word STEAM in the title.

Since STEM education may be viewed as encompassing discipline-based education research, articles on STEM education research may have been published in traditional discipline-based education journals, such as the Journal of Research in Science Teaching . However, there are too many such journals. Yale’s Poorvu Center for Teaching and Learning has listed 16 journals that publish articles spanning across undergraduate STEM education disciplines (see https://poorvucenter.yale.edu/FacultyResources/STEMjournals ). Thus, we selected from the list some individual discipline-based education research journals, and also added a few more common ones such as the Journal of Engineering Education .

Since articles on research in STEM education have appeared in some general education research journals, especially those well-established ones. Thus, we identified and selected a few of those journals that we noticed some publications in STEM education research.

Following the above three steps, we identified 45 journals (see Table  1 ).

Identifying articles

In this review, we will not discuss or define the meaning of STEM education. We used the acronym STEM (or STEAM, or written as the phrase of “science, technology, engineering, and mathematics”) as a term in our search of publication titles and/or abstracts. To identify and select articles for review, we searched all items published in those 45 journals and selected only those articles that author(s) self-identified with the acronym STEM (or STEAM, or written as the phrase of “science, technology, engineering, and mathematics”) in the title and/or abstract. We excluded publications in the sections of practices, letters to editors, corrections, and (guest) editorials. Our search found 798 publications that authors self-identified as in STEM education, identified from 36 journals. The remaining 9 journals either did not have publications that met our search terms or published in another language other than English (see the two separate lists in Table 1 ).

Data analysis

To address research question 3, we analyzed authorship to examine which countries/regions contributed to STEM education research over the years. Because each publication may have either one or multiple authors, we used two different methods to analyze authorship nationality that have been recognized as valuable from our review of IJ-STEM publications (Li, Froyd, & Wang, 2019 ). The first method considers only the corresponding author’s (or the first author, if no specific indication is given about the corresponding author) nationality and his/her first institution affiliation, if multiple institution affiliations are listed. Method 2 considers every author of a publication, using the following formula (Howard, Cole, & Maxwell, 1987 ) to quantitatively assign and estimate each author’s contribution to a publication (and thus associated institution’s productivity), when multiple authors are included in a publication. As an example, each publication is given one credit point. For the publication co-authored by two, the first author would be given 0.6 and the second author 0.4 credit point. For an article contributed jointly by three authors, the three authors would be credited with scores of 0.47, 0.32, and 0.21, respectively.

After calculating all the scores for each author of each paper, we added all the credit scores together in terms of each author’s country/region. For brevity, we present only the top 10 countries/regions in terms of their total credit scores calculated using these two different methods, respectively.

To address research question 5, we used the same seven topic categories identified and used in our review of IJ-STEM publications (Li, Froyd, & Wang, 2019 ). We tested coding 100 articles first to ensure the feasibility. Through test-coding and discussions, we found seven topic categories could be used to examine and classify all 798 items.

K-12 teaching, teacher, and teacher education in STEM (including both pre-service and in-service teacher education)

Post-secondary teacher and teaching in STEM (including faculty development, etc.)

K-12 STEM learner, learning, and learning environment

Post-secondary STEM learner, learning, and learning environments (excluding pre-service teacher education)

Policy, curriculum, evaluation, and assessment in STEM (including literature review about a field in general)

Culture and social and gender issues in STEM education

History, epistemology, and perspectives about STEM and STEM education

To address research question 6, we coded all 798 publications in terms of (1) qualitative methods, (2) quantitative methods, (3) mixed methods, and (4) non-empirical studies (including theoretical or conceptual papers, and literature reviews). We assigned each publication to only one research topic and one method, following the process used in the IJ-STEM review (Li, Froyd, & Wang, 2019 ). When there was more than one topic or method that could have been used for a publication, a decision was made in choosing and assigning a topic or a method. The agreement between two coders for all 798 publications was 89.5%. When topic and method coding discrepancies occurred, a final decision was reached after discussion.

Results and discussion

In the following sections, we report findings as corresponding to each of the six research questions.

The status and trends of journal publications in STEM education research from 2000 to 2018

Figure  1 shows the number of publications per year. As Fig.  1 shows, the number of publications increased each year beginning in 2010. There are noticeable jumps from 2015 to 2016 and from 2017 to 2018. The result shows that research in STEM education had grown significantly since 2010, and the most recent large number of STEM education publications also suggests that STEM education research gained its own recognition by many different journals for publication as a hot and important topic area.

The distribution of STEM education publications over the years

Among the 798 articles, there were 549 articles with the word “STEM” (or STEAM, or written with the phrase of “science, technology, engineering, and mathematics”) included in the article’s title or both title and abstract and 249 articles without such identifiers included in the title but abstract only. The results suggest that many scholars tended to include STEM in the publications’ titles to highlight their research in or about STEM education. Figure  2 shows the number of publications per year where publications are distinguished depending on whether they used the term STEM in the title or only in the abstract. The number of publications in both categories had significant increases since 2010. Use of the acronym STEM in the title was growing at a faster rate than using the acronym only in the abstract.

The trends of STEM education publications with vs. without STEM included in the title

Not all the publications that used the acronym STEM in the title and/or abstract reported on a study involving all four STEM areas. For each publication, we further examined the number of the four areas involved in the reported study.

Figure  3 presents the number of publications categorized by the number of the four areas involved in the study, breaking down the distribution of these 798 publications in terms of the content scope being focused on. Studies involving all four STEM areas are the most numerous with 488 (61.2%) publications, followed by involving one area (141, 17.7%), then studies involving both STEM and non-STEM (84, 10.5%), and finally studies involving two or three areas of STEM (72, 9%; 13, 1.6%; respectively). Publications that used the acronym STEAM in either the title or abstract were classified as involving both STEM and non-STEM. For example, both of the following publications were included in this category.

Dika and D’Amico ( 2016 ). “Early experiences and integration in the persistence of first-generation college students in STEM and non-STEM majors.” Journal of Research in Science Teaching , 53 (3), 368–383. (Note: this article focused on early experience in both STEM and Non-STEM majors.)

Sochacka, Guyotte, and Walther ( 2016 ). “Learning together: A collaborative autoethnographic exploration of STEAM (STEM+ the Arts) education.” Journal of Engineering Education , 105 (1), 15–42. (Note: this article focused on STEAM (both STEM and Arts).)

Publication distribution in terms of content scope being focused on. (Note: 1=single subject of STEM, 2=two subjects of STEM, 3=three subjects of STEM, 4=four subjects of STEM, 5=topics related to both STEM and non-STEM)

Figure  4 presents the number of publications per year in each of the five categories described earlier (category 1, one area of STEM; category 2, two areas of STEM; category 3, three areas of STEM; category 4, four areas of STEM; category 5, STEM and non-STEM). The category that had grown most rapidly since 2010 is the one involving all four areas. Recent growth in the number of publications in category 1 likely reflected growing interest of traditional individual disciplinary based educators in developing and sharing multidisciplinary and interdisciplinary scholarship in STEM education, as what was noted recently by Li and Schoenfeld ( 2019 ) with publications in IJ-STEM.

Publication distribution in terms of content scope being focused on over the years

Patterns of publications across different journals

Among the 36 journals that published STEM education articles, two are general education research journals (referred to as “subject-0”), 12 with their titles containing one discipline of STEM (“subject-1”), eight with journal’s titles covering two disciplines of STEM (“subject-2”), six covering three disciplines of STEM (“subject-3”), seven containing the word STEM (“subject-4”), and one in STEAM education (“subject-5”).

Table  2 shows that both subject-0 and subject-1 journals were usually mature journals with a long history, and they were all traditional subscription-based journals, except the Journal of Pre - College Engineering Education Research , a subject-1 journal established in 2011 that provided open access (OA). In comparison to subject-0 and subject-1 journals, subject-2 and subject-3 journals were relatively newer but still had quite many years of history on average. There are also some more journals in these two categories that provided OA. Subject-4 and subject-5 journals had a short history, and most provided OA. The results show that well-established journals had tended to focus on individual disciplines or education research in general. Multidisciplinary and interdisciplinary education journals were started some years later, followed by the recent establishment of several STEM or STEAM journals.

Table 2 also shows that subject-1, subject-2, and subject-4 journals published approximately a quarter each of the publications. The number of publications in subject-1 journals is interested, because we selected a relatively limited number of journals in this category. There are many other journals in the subject-1 category (as well as subject-0 journals) that we did not select, and thus it is very likely that we did not include some STEM education articles published in subject-0 or subject-1 journals that we did not include in our study.

Figure  5 shows the number of publications per year in each of the five categories described earlier (subject-0 through subject-5). The number of publications per year in subject-5 and subject-0 journals did not change much over the time period of the study. On the other hand, the number of publications per year in subject-4 (all 4 areas), subject-1 (single area), and subject-2 journals were all over 40 by the end of the study period. The number of publications per year in subject-3 journals increased but remained less than 30. At first sight, it may be a bit surprising that the number of publications in STEM education per year in subject-1 journals increased much faster than those in subject-2 journals over the past few years. However, as Table 2 indicates these journals had long been established with great reputations, and scholars would like to publish their research in such journals. In contrast to the trend in subject-1 journals, the trend in subject-4 journals suggests that STEM education journals collectively started to gain its own identity for publishing and sharing STEM education research.

STEM education publication distribution across different journal categories over the years. (Note: 0=subject-0; 1=subject-1; 2=subject-2; 3=subject-3; 4=subject-4; 5=subject-5)

Figure  6 shows the number of STEM education publications in each journal where the bars are color-coded (yellow, subject-0; light blue, subject-1; green, subject-2; purple, subject-3; dark blue, subject-4; and black, subject-5). There is no clear pattern shown in terms of the overall number of STEM education publications across categories or journals, but very much individual journal-based performance. The result indicates that the number of STEM education publications might heavily rely on the individual journal’s willingness and capability of attracting STEM education research work and thus suggests the potential value of examining individual journal’s performance.

Publication distribution across all 36 individual journals across different categories with the same color-coded for journals in the same subject category

The top five journals in terms of the number of STEM education publications are Journal of Science Education and Technology (80 publications, journal number 25 in Fig.  6 ), Journal of STEM Education (65 publications, journal number 26), International Journal of STEM Education (64 publications, journal number 17), International Journal of Engineering Education (54 publications, journal number 12), and School Science and Mathematics (41 publications, journal number 31). Among these five journals, two journals are specifically on STEM education (J26, J17), two on two subjects of STEM (J25, J31), and one on one subject of STEM (J12).

Figure  7 shows the number of STEM education publications per year in each of these top five journals. As expected, based on earlier trends, the number of publications per year increased over the study period. The largest increase was in the International Journal of STEM Education (J17) that was established in 2014. As the other four journals were all established in or before 2000, J17’s short history further suggests its outstanding performance in attracting and publishing STEM education articles since 2014 (Li, 2018b ; Li, Froyd, & Wang, 2019 ). The increase was consistent with the journal’s recognition as the first STEM education journal for inclusion in SSCI starting in 2019 (Li, 2019a ).

Publication distribution of selected five journals over the years. (Note: J12: International Journal of Engineering Education; J17: International Journal of STEM Education; J25: Journal of Science Education and Technology; J26: Journal of STEM Education; J31: School Science and Mathematics)

Top 10 countries/regions where scholars contributed journal publications in STEM education

Table  3 shows top countries/regions in terms of the number of publications, where the country/region was established by the authorship using the two different methods presented above. About 75% (depending on the method) of contributions were made by authors from the USA, followed by Australia, Canada, Taiwan, and UK. Only Africa as a continent was not represented among the top 10 countries/regions. The results are relatively consistent with patterns reported in the IJ-STEM study (Li, Froyd, & Wang, 2019 )

Further examination of Table 3 reveals that the two methods provide not only fairly consistent results but also yield some differences. For example, Israel and Germany had more publication credit if only the corresponding author was considered, but South Korea and Turkey had more publication credit when co-authors were considered. The results in Table 3 show that each method has value when analyzing and comparing publications by country/region or institution based on authorship.

Recognizing that, as shown in Fig. 1 , the number of publications per year increased rapidly since 2010, Table  4 shows the number of publications by country/region over a 10-year period (2009–2018) and Table 5 shows the number of publications by country/region over a 5-year period (2014–2018). The ranks in Tables  3 , 4 , and 5 are fairly consistent, but that would be expected since the larger numbers of publications in STEM education had occurred in recent years. At the same time, it is interesting to note in Table 5 some changes over the recent several years with Malaysia, but not Israel, entering the top 10 list when either method was used to calculate author's credit.

Patterns of single-author and multiple-author publications in STEM education

Since STEM education differs from traditional individual disciplinary education, we are interested in determining how common joint co-authorship with collaborations was in STEM education articles. Figure  8 shows that joint co-authorship was very common among these 798 STEM education publications, with 83.7% publications with two or more co-authors. Publications with two, three, or at least five co-authors were highest, with 204, 181, and 157 publications, respectively.

Number of publications with single or different joint authorship. (Note: 1=single author; 2=two co-authors; 3=three co-authors; 4=four co-authors; 5=five or more co-authors)

Figure  9 shows the number of publications per year using the joint authorship categories in Fig.  8 . Each category shows an increase consistent with the increase shown in Fig. 1 for all 798 publications. By the end of the time period, the number of publications with two, three, or at least five co-authors was the largest, which might suggest an increase in collaborations in STEM education research.

Publication distribution with single or different joint authorship over the years. (Note: 1=single author; 2=two co-authors; 3=three co-authors; 4=four co-authors; 5=five or more co-authors)

Co-authors can be from the same or different countries/regions. Figure  10 shows the number of publications per year by single authors (no collaboration), co-authors from the same country (collaboration in a country/region), and co-authors from different countries (collaboration across countries/regions). Each year the largest number of publications was by co-authors from the same country, and the number increased dramatically during the period of the study. Although the number of publications in the other two categories increased, the numbers of publications were noticeably fewer than the number of publications by co-authors from the same country.

Publication distribution in authorship across different categories in terms of collaboration over the years

Published articles by research topics

Figure  11 shows the number of publications in each of the seven topic categories. The topic category of goals, policy, curriculum, evaluation, and assessment had almost half of publications (375, 47%). Literature reviews were included in this topic category, as providing an overview assessment of education and research development in a topic area or a field. Sample publications included in this category are listed as follows:

DeCoito ( 2016 ). “STEM education in Canada: A knowledge synthesis.” Canadian Journal of Science , Mathematics and Technology Education , 16 (2), 114–128. (Note: this article provides a national overview of STEM initiatives and programs, including success, criteria for effective programs and current research in STEM education.)

Ring-Whalen, Dare, Roehrig, Titu, and Crotty ( 2018 ). “From conception to curricula: The role of science, technology, engineering, and mathematics in integrated STEM units.” International Journal of Education in Mathematics Science and Technology , 6 (4), 343–362. (Note: this article investigates the conceptions of integrated STEM education held by in-service science teachers through the use of photo-elicitation interviews and examines how those conceptions were reflected in teacher-created integrated STEM curricula.)

Schwab et al. ( 2018 ). “A summer STEM outreach program run by graduate students: Successes, challenges, and recommendations for implementation.” Journal of Research in STEM Education , 4 (2), 117–129. (Note: the article details the organization and scope of the Foundation in Science and Mathematics Program and evaluates this program.)

Frequencies of publications’ research topic distributions. (Note: 1=K-12 teaching, teacher and teacher education; 2=Post-secondary teacher and teaching; 3=K-12 STEM learner, learning, and learning environment; 4=Post-secondary STEM learner, learning, and learning environments; 5=Goals and policy, curriculum, evaluation, and assessment (including literature review); 6=Culture, social, and gender issues; 7=History, philosophy, Epistemology, and nature of STEM and STEM education)

The topic with the second most publications was “K-12 teaching, teacher and teacher education” (103, 12.9%), followed closely by “K-12 learner, learning, and learning environment” (97, 12.2%). The results likely suggest the research community had a broad interest in both teaching and learning in K-12 STEM education. The top three topics were the same in the IJ-STEM review (Li, Froyd, & Wang, 2019 ).

Figure  11 also shows there was a virtual tie between two topics with the fourth most cumulative publications, “post-secondary STEM learner & learning” (76, 9.5%) and “culture, social, and gender issues in STEM” (78, 9.8%), such as STEM identity, students’ career choices in STEM, and inclusion. This result is different from the IJ-STEM review (Li, Froyd, & Wang, 2019 ), where “post-secondary STEM teacher & teaching” and “post-secondary STEM learner & learning” were tied as the fourth most common topics. This difference is likely due to the scope of journals and the length of the time period being reviewed.

Figure  12 shows the number of publications per year in each topic category. As expected from the results in Fig.  11 the number of publications in topic category 5 (goals, policy, curriculum, evaluation, and assessment) was the largest each year. The numbers of publications in topic category 3 (K-12 learner, learning, and learning environment), 1 (K-12 teaching, teacher, and teacher education), 6 (culture, social, and gender issues in STEM), and 4 (post-secondary STEM learner and learning) were also increasing. Although Fig.  11 shows the number of publications in topic category 1 was slightly more than the number of publications in topic category 3 (see Fig.  11 ), the number of publications in topic category 3 was increasing more rapidly in recent years than its counterpart in topic category 1. This may suggest a more rapidly growing interest in K-12 STEM learner, learning, and learning environment. The numbers of publications in topic categories 2 and 7 were not increasing, but the number of publications in IJ-STEM in topic category 2 was notable (Li, Froyd, & Wang, 2019 ). It will be interesting to follow trends in the seven topic categories in the future.

Publication distributions in terms of research topics over the years

Published articles by research methods

Figure  13 shows the number of publications per year by research methods in empirical studies. Publications with non-empirical studies are shown in a separate category. Although the number of publications in each of the four categories increased during the study period, there were many more publications presenting empirical studies than those without. For those with empirical studies, the number of publications using quantitative methods increased most rapidly in recent years, followed by qualitative and then mixed methods. Although there were quite many publications with non-empirical studies (e.g., theoretical or conceptual papers, literature reviews) during the study period, the increase of the number of publications in this category was noticeably less than empirical studies.

Publication distributions in terms of research methods over the years. (Note: 1=qualitative, 2=quantitative, 3=mixed, 4=Non-empirical)

Concluding remarks

The systematic analysis of publications that were considered to be in STEM education in 36 selected journals shows tremendous growth in scholarship in this field from 2000 to 2018, especially over the past 10 years. Our analysis indicates that STEM education research has been increasingly recognized as an important topic area and studies were being published across many different journals. Scholars still hold diverse perspectives about how research is designated as STEM education; however, authors have been increasingly distinguishing their articles with STEM, STEAM, or related words in the titles, abstracts, and lists of keywords during the past 10 years. Moreover, our systematic analysis shows a dramatic increase in the number of publications in STEM education journals in recent years, which indicates that these journals have been collectively developing their own professional identity. In addition, the International Journal of STEM Education has become the first STEM education journal to be accepted in SSCI in 2019 (Li, 2019a ). The achievement may mark an important milestone as STEM education journals develop their own identity for publishing and sharing STEM education research.

Consistent with our previous reviews (Li, Froyd, & Wang, 2019 ; Li, Wang, & Xiao, 2019 ), the vast majority of publications in STEM education research were contributed by authors from the USA, where STEM and STEAM education originated, followed by Australia, Canada, and Taiwan. At the same time, authors in some countries/regions in Asia were becoming very active in the field over the past several years. This trend is consistent with findings from the IJ-STEM review (Li, Froyd, & Wang, 2019 ). We certainly hope that STEM education scholarship continues its development across all five continents to support educational initiatives and programs in STEM worldwide.

Our analysis has shown that collaboration, as indicated by publications with multiple authors, has been very common among STEM education scholars, as that is often how STEM education distinguishes itself from the traditional individual disciplinary based education. Currently, most collaborations occurred among authors from the same country/region, although collaborations across cross-countries/regions were slowly increasing.

With the rapid changes in STEM education internationally (Li, 2019b ), it is often difficult for researchers to get an overall sense about possible hot topics in STEM education especially when STEM education publications appeared in a vast array of journals across different fields. Our systematic analysis of publications has shown that studies in the topic category of goals, policy, curriculum, evaluation, and assessment have been the most prevalent, by far. Our analysis also suggests that the research community had a broad interest in both teaching and learning in K-12 STEM education. These top three topic categories are the same as in the IJ-STEM review (Li, Froyd, & Wang, 2019 ). Work in STEM education will continue to evolve and it will be interesting to review the trends in another 5 years.

Encouraged by our recent IJ-STEM review, we began this review with an ambitious goal to provide an overview of the status and trends of STEM education research. In a way, this systematic review allowed us to achieve our initial goal with a larger scope of journal selection over a much longer period of publication time. At the same time, there are still limitations, such as the decision to limit the number of journals from which we would identify publications for analysis. We understand that there are many publications on STEM education research that were not included in our review. Also, we only identified publications in journals. Although this is one of the most important outlets for scholars to share their research work, future reviews could examine publications on STEM education research in other venues such as books, conference proceedings, and grant proposals.

Availability of data and materials

The data and materials used and analyzed for the report are publicly available at the various journal websites.

Journals containing the word "computers" or "ICT" appeared automatically when searching with the word "technology". Thus, the word of "computers" or "ICT" was taken as equivalent to "technology" if appeared in a journal's name.

Abbreviations

Information and Communications Technology

International Journal of STEM Education

Kindergarten–Grade 12

Science, Mathematics, Engineering, and Technology

Science, Technology, Engineering, Arts, and Mathematics

Science, Technology, Engineering, and Mathematics

Borrego, M., Foster, M. J., & Froyd, J. E. (2015). What is the state of the art of systematic review in engineering education? Journal of Engineering Education, 104 (2), 212–242. https://doi.org/10.1002/jee.20069 .

Article   Google Scholar  

Bray, A., & Tangney, B. (2017). Technology usage in mathematics education research – a systematic review of recent trends. Computers & Education, 114 , 255–273.

Brown, J. (2012). The current status of STEM education research. Journal of STEM Education: Innovations & Research, 13 (5), 7–11.

Google Scholar  

Christenson, J. (2011). Ramaley coined STEM term now used nationwide . Winona Daily News Retrieved from http://www.winonadailynews.com/news/local/article_457afe3e-0db3-11e1-abe0-001cc4c03286.html Accessed on 16 Jan 2018.

Chute, E. (2009). STEM education is branching out . Pittsburgh Post-Gazette Feb 9, 2009. https://www.post-gazette.com/news/education/2009/02/10/STEM-education-is-branching-out/stories/200902100165 Accessed on 2 Jan 2020.

DeCoito, I. (2016). STEM education in Canada: A knowledge synthesis. Canadian Journal of Science, Mathematics and Technology Education, 16 (2), 114–128.

Dika, S. L., & D'Amico, M. M. (2016). Early experiences and integration in the persistence of first-generation college students in STEM and non-STEM majors. Journal of Research in Science Teaching, 53 (3), 368–383.

English, L. D. (2016). STEM education K-12: Perspectives on integration. International Journal of STEM Education, 3 , 3. https://doi.org/10.1186/s4059%204-016-0036-1 .

Erduran, S., Ozdem, Y., & Park, J.-Y. (2015). Research trends on argumentation in science education: A journal content analysis from 1998-2014. International Journal of STEM Education, 2 , 5. https://doi.org/10.1186/s40594-015-0020-1 .

Gonzalez, H. B. & Kuenzi, J. J. (2012). Science, technology, engineering, and mathematics (STEM) education: A primer. CRS report for congress, R42642, https://fas.org/sgp/crs/misc/R42642.pdf Accessed on 2 Jan 2020.

Henderson, C., Beach, A., & Finkelstein, N. (2011). Facilitating change in undergraduate STEM instructional practices: An analytic review of the literature. Journal of Research in Science Teaching, 48 (8), 952–984.

Honey, M., Pearson, G., & Schweingruber, A. (2014). STEM integration in K-12 education: Status, prospects, and an agenda for research . Washington: National Academies Press.

Howard, G. S., Cole, D. A., & Maxwell, S. E. (1987). Research productivity in psychology based on publication in the journals of the American Psychological Association. American Psychologist, 42 (11), 975–986.

Johnson, C. C., Peters-Burton, E. E., & Moore, T. J. (2015). STEM roadmap: A framework for integration . London: Taylor & Francis.

Book   Google Scholar  

Kelley, T. R., & Knowles, J. G. (2016). A conceptual framework for integrated STEM education. International Journal of STEM Education, 3 , 11. https://doi.org/10.1186/s40594-016-0046-z .

Kilpatrick, J. (1992). A history of research in mathematics education. In D. A. Grouws (Ed.), Handbook of research on mathematics teaching and learning (pp. 3–38). New York: Macmillan.

Kim, A. Y., Sinatra, G. M., & Seyranian, V. (2018). Developing a STEM identity among young women: A social identity perspective. Review of Educational Research, 88 (4), 589–625.

Li, Y. (2014). International journal of STEM education – a platform to promote STEM education and research worldwide. International Journal of STEM Education, 1 , 1. https://doi.org/10.1186/2196-7822-1-1 .

Li, Y. (2018a). Journal for STEM education research – promoting the development of interdisciplinary research in STEM education. Journal for STEM Education Research, 1 (1–2), 1–6. https://doi.org/10.1007/s41979-018-0009-z .

Li, Y. (2018b). Four years of development as a gathering place for international researchers and readers in STEM education. International Journal of STEM Education, 5 , 54. https://doi.org/10.1186/s40594-018-0153-0 .

Li, Y. (2019a). Five years of development in pursuing excellence in quality and global impact to become the first journal in STEM education covered in SSCI. International Journal of STEM Education, 6 , 42. https://doi.org/10.1186/s40594-019-0198-8 .

Li, Y. (2019b). STEM education research and development as a rapidly evolving and international field. 数学教育学报(Journal of Mathematics Education), 28 (3), 42–44.

Li, Y., Froyd, J. E., & Wang, K. (2019). Learning about research and readership development in STEM education: A systematic analysis of the journal’s publications from 2014 to 2018. International Journal of STEM Education, 6 , 19. https://doi.org/10.1186/s40594-019-0176-1 .

Li, Y., & Schoenfeld, A. H. (2019). Problematizing teaching and learning mathematics as ‘given’ in STEM education. International Journal of STEM Education, 6 , 44. https://doi.org/10.1186/s40594-019-0197-9 .

Li, Y., Wang, K., & Xiao, Y. (2019). Exploring the status and development trends of STEM education research: A review of research articles in selected journals published between 2000 and 2018. 数学教育学报(Journal of Mathematics Education), 28 (3), 45–52.

Lin, T.-J., Lin, T.-C., Potvin, P., & Tsai, C.-C. (2019). Research trends in science education from 2013 to 2017: A systematic content analysis of publications in selected journals. International Journal of Science Education, 41 (3), 367–387.

Margot, K. C., & Kettler, T. (2019). Teachers’ perception of STEM integration and education: A systematic literature review. International Journal of STEM Education, 6 , 2. https://doi.org/10.1186/s40594-018-0151-2 .

Minichiello, A., Hood, J. R., & Harkness, D. S. (2018). Bring user experience design to bear on STEM education: A narrative literature review. Journal for STEM Education Research, 1 (1–2), 7–33.

Minner, D. D., Levy, A. J., & Century, J. (2010). Inquiry-based science instruction – what is it and does it matter? Results from a research synthesis years 1984 to 2002. Journal of Research in Science Teaching, 47 (4), 474–496.

Mizell, S., & Brown, S. (2016). The current status of STEM education research 2013-2015. Journal of STEM Education: Innovations & Research, 17 (4), 52–56.

National Research Council. (2012). Discipline-based education research: Understanding and improving learning in undergraduate science and engineering . Washington DC: National Academies Press.

National Science Foundation (1998). Information technology: Its impact on undergraduate education in science, mathematics, engineering, and technology. (NSF 98–82), April 18–20, 1996. http://www.nsf.gov/cgi-bin/getpub?nsf9882 Accessed 16 Jan 2018.

Raju, P. K., & Sankar, C. S. (2003). Editorial. Journal of STEM Education: Innovations & Research, 4 (3&4), 2.

Ring-Whalen, E., Dare, E., Roehrig, G., Titu, P., & Crotty, E. (2018). From conception to curricula: The role of science, technology, engineering, and mathematics in integrated STEM units. International Journal of Education in Mathematics, Science and Technology, 6 (4), 343–362.

Schreffler, J., Vasquez III, E., Chini, J., & James, W. (2019). Universal design for learning in postsecondary STEM education for students with disabilities: A systematic literature review. International Journal of STEM Education, 6 , 8. https://doi.org/10.1186/s40594-019-0161-8 .

Schwab, D. B., Cole, L. W., Desai, K. M., Hemann, J., Hummels, K. R., & Maltese, A. V. (2018). A summer STEM outreach program run by graduate students: Successes, challenges, and recommendations for implementation. Journal of Research in STEM Education, 4 (2), 117–129.

Sochacka, N. W., Guyotte, K. W., & Walther, J. (2016). Learning together: A collaborative autoethnographic exploration of STEAM (STEM+ the Arts) education. Journal of Engineering Education, 105 (1), 15–42.

Sokolowski, A., Li, Y., & Willson, V. (2015). The effects of using exploratory computerized environments in grades 1 to 8 mathematics: A meta-analysis of research. International Journal of STEM Education, 2 , 8. https://doi.org/10.1186/s40594-015-0022-z .

Thibaut, L., Ceuppens, S., De Loof, H., De Meester, J., Goovaerts, L., Struyf, A., Pauw, J. B., Dehaene, W., Deprez, J., De Cock, M., Hellinckx, L., Knipprath, H., Langie, G., Struyven, K., Van de Velde, D., Van Petegem, P., & Depaepe, F. (2018). Integrated STEM education: A systematic review of instructional practices in secondary education. European Journal of STEM Education, 3 (1), 2.

Tsai, C. C., & Wen, L. M. C. (2005). Research and trends in science education from 1998 to 2002: A content analysis of publication in selected journals. International Journal of Science Education, 27 (1), 3–14.

United States Congress House Committee on Science. (1998). The state of science, math, engineering, and technology (SMET) education in America, parts I-IV, including the results of the Third International Mathematics and Science Study (TIMSS): hearings before the Committee on Science, U.S. House of Representatives, One Hundred Fifth Congress, first session, July 23, September 24, October 8 and 29, 1997. Washington: U.S. G.P.O.

Vasquez, J., Sneider, C., & Comer, M. (2013). STEM lesson essentials, grades 3–8: Integrating science, technology, engineering, and mathematics . Portsmouth, NH: Heinemann.

Wu, S. P. W., & Rau, M. A. (2019). How students learn content in science, technology, engineering, and mathematics (STEM) through drawing activities. Educational Psychology Review . https://doi.org/10.1007/s10648-019-09467-3 .

Xu, M., Williams, P. J., Gu, J., & Zhang, H. (2019). Hotspots and trends of technology education in the International Journal of Technology and Design Education: 2000-2018. International Journal of Technology and Design Education . https://doi.org/10.1007/s10798-019-09508-6 .

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Li, Y., Wang, K., Xiao, Y. et al. Research and trends in STEM education: a systematic review of journal publications. IJ STEM Ed 7 , 11 (2020). https://doi.org/10.1186/s40594-020-00207-6

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• Contents Introduction Sherry Marx
• *"I am an innovator:" Quahn's Counter-narrative of Becoming in STEM
• Angela Calabrese Barton, Myunghwan Shin, and LaQuahn Johnson
• *"I come because I make toy.": Examining Nodes of Criticality in an Afterschool Science & Engineering (SE) Club with Refugee Youth
• Edna Tan and Beverly Faircloth
• * Sociocultural Analysis of Engineering Design: Latino High School Students' Funds of Knowledge and Implications for Culturally Responsive Engineering Education
• Joel Alejandro Mejia
• * Bruised But Not Broken: African American Women Persistence in Engineering Degree Programs in Spite of Stereotype Threat
• Sherry Marx
• * Examining Academic Integrity in the Postmodern: Undergraduates' Use of Solutions to Complete Textbook-based Engineering Coursework
• Angela Minichiello
• * Engineering Dropouts: A Qualitative Examination of Why Undergraduates Leave Engineering
• Matthew Meyer and Sherry Marx
• * nitacimowinis: A research story in Indigenous Science Education
• * From Ambivalences toward Self-Efficacy: Bilingual Teacher Candidates' Shifting Sense of Knowing as Conocimiento with STEM
• Anita Bright and G. Sue Kasun
• * Examining the Non-Rational in Science Classrooms: Girls, Sustainability, and Science Education
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• * Seven Types of Subitizing Activity Characterizing Young Children's Mental Activity
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• * Orienting Students to One Another and to the Mathematics During Discussions
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How to write qualitative research questions.

11 min read Here’s how to write effective qualitative research questions for your projects, and why getting it right matters so much.

What is qualitative research?

Qualitative research is a blanket term covering a wide range of research methods and theoretical framing approaches. The unifying factor in all these types of qualitative study is that they deal with data that cannot be counted. Typically this means things like people’s stories, feelings, opinions and emotions , and the meanings they ascribe to their experiences.

Qualitative study is one of two main categories of research, the other being quantitative research. Quantitative research deals with numerical data – that which can be counted and quantified, and which is mostly concerned with trends and patterns in large-scale datasets.

What are research questions?

Research questions are questions you are trying to answer with your research. To put it another way, your research question is the reason for your study, and the beginning point for your research design. There is normally only one research question per study, although if your project is very complex, you may have multiple research questions that are closely linked to one central question.

A good qualitative research question sums up your research objective. It’s a way of expressing the central question of your research, identifying your particular topic and the central issue you are examining.

Research questions are quite different from survey questions, questions used in focus groups or interview questions. A long list of questions is used in these types of study, as opposed to one central question. Additionally, interview or survey questions are asked of participants, whereas research questions are only for the researcher to maintain a clear understanding of the research design.

Research questions are used in both qualitative and quantitative research , although what makes a good research question might vary between the two.

In fact, the type of research questions you are asking can help you decide whether you need to take a quantitative or qualitative approach to your research project.

Discover the fundamentals of qualitative research

Quantitative vs. qualitative research questions

Writing research questions is very important in both qualitative and quantitative research, but the research questions that perform best in the two types of studies are quite different.

Quantitative research questions

Quantitative research questions usually relate to quantities, similarities and differences.

It might reflect the researchers’ interest in determining whether relationships between variables exist, and if so whether they are statistically significant. Or it may focus on establishing differences between things through comparison, and using statistical analysis to determine whether those differences are meaningful or due to chance.

• How much? This kind of research question is one of the simplest. It focuses on quantifying something. For example:

How many Yoruba speakers are there in the state of Maine?

• What is the connection?

This type of quantitative research question examines how one variable affects another.

For example:

How does a low level of sunlight affect the mood scores (1-10) of Antarctic explorers during winter?

• What is the difference? Quantitative research questions in this category identify two categories and measure the difference between them using numerical data.

Do white cats stay cooler than tabby cats in hot weather?

If your research question fits into one of the above categories, you’re probably going to be doing a quantitative study.

Qualitative research questions

Qualitative research questions focus on exploring phenomena, meanings and experiences.

Unlike quantitative research, qualitative research isn’t about finding causal relationships between variables. So although qualitative research questions might touch on topics that involve one variable influencing another, or looking at the difference between things, finding and quantifying those relationships isn’t the primary objective.

In fact, you as a qualitative researcher might end up studying a very similar topic to your colleague who is doing a quantitative study, but your areas of focus will be quite different. Your research methods will also be different – they might include focus groups, ethnography studies, and other kinds of qualitative study.

A few example qualitative research questions:

• What is it like being an Antarctic explorer during winter?
• What are the experiences of Yoruba speakers in the USA?
• How do white cat owners describe their pets?

Qualitative research question types

Marshall and Rossman (1989) identified 4 qualitative research question types, each with its own typical research strategy and methods.

• Exploratory questions

Exploratory questions are used when relatively little is known about the research topic. The process researchers follow when pursuing exploratory questions might involve interviewing participants, holding focus groups, or diving deep with a case study.

• Explanatory questions

With explanatory questions, the research topic is approached with a view to understanding the causes that lie behind phenomena. However, unlike a quantitative project, the focus of explanatory questions is on qualitative analysis of multiple interconnected factors that have influenced a particular group or area, rather than a provable causal link between dependent and independent variables.

• Descriptive questions

As the name suggests, descriptive questions aim to document and record what is happening. In answering descriptive questions , researchers might interact directly with participants with surveys or interviews, as well as using observational studies and ethnography studies that collect data on how participants interact with their wider environment.

• Predictive questions

Predictive questions start from the phenomena of interest and investigate what ramifications it might have in the future. Answering predictive questions may involve looking back as well as forward, with content analysis, questionnaires and studies of non-verbal communication (kinesics).

Why are good qualitative research questions important?

We know research questions are very important. But what makes them so essential? (And is that question a qualitative or quantitative one?)

Getting your qualitative research questions right has a number of benefits.

• It defines your qualitative research project Qualitative research questions definitively nail down the research population, the thing you’re examining, and what the nature of your answer will be.This means you can explain your research project to other people both inside and outside your business or organization. That could be critical when it comes to securing funding for your project, recruiting participants and members of your research team, and ultimately for publishing your results. It can also help you assess right the ethical considerations for your population of study.
• It maintains focus Good qualitative research questions help researchers to stick to the area of focus as they carry out their research. Keeping the research question in mind will help them steer away from tangents during their research or while they are carrying out qualitative research interviews. This holds true whatever the qualitative methods are, whether it’s a focus group, survey, thematic analysis or other type of inquiry.That doesn’t mean the research project can’t morph and change during its execution – sometimes this is acceptable and even welcome – but having a research question helps demarcate the starting point for the research. It can be referred back to if the scope and focus of the project does change.
• It helps make sure your outcomes are achievable

Because qualitative research questions help determine the kind of results you’re going to get, it helps make sure those results are achievable. By formulating good qualitative research questions in advance, you can make sure the things you want to know and the way you’re going to investigate them are grounded in practical reality. Otherwise, you may be at risk of taking on a research project that can’t be satisfactorily completed.

Developing good qualitative research questions

All researchers use research questions to define their parameters, keep their study on track and maintain focus on the research topic. This is especially important with qualitative questions, where there may be exploratory or inductive methods in use that introduce researchers to new and interesting areas of inquiry. Here are some tips for writing good qualitative research questions.

1. Keep it specific

Broader research questions are difficult to act on. They may also be open to interpretation, or leave some parameters undefined.

Strong example: How do Baby Boomers in the USA feel about their gender identity?

Weak example: Do people feel different about gender now?

2. Be original

Look for research questions that haven’t been widely addressed by others already.

Strong example: What are the effects of video calling on women’s experiences of work?

Weak example: Are women given less respect than men at work?

3. Make it research-worthy

Don’t ask a question that can be answered with a ‘yes’ or ‘no’, or with a quick Google search.

Strong example: What do people like and dislike about living in a highly multi-lingual country?

Weak example: What languages are spoken in India?

4. Focus your question

Don’t roll multiple topics or questions into one. Qualitative data may involve multiple topics, but your qualitative questions should be focused.

Strong example: What is the experience of disabled children and their families when using social services?

Weak example: How can we improve social services for children affected by poverty and disability?

4. Focus on your own discipline, not someone else’s

Avoid asking questions that are for the politicians, police or others to address.

Strong example: What does it feel like to be the victim of a hate crime?

Weak example: How can hate crimes be prevented?

5. Ask something researchable

Big questions, questions about hypothetical events or questions that would require vastly more resources than you have access to are not useful starting points for qualitative studies. Qualitative words or subjective ideas that lack definition are also not helpful.

Strong example: How do perceptions of physical beauty vary between today’s youth and their parents’ generation?

Weak example: Which country has the most beautiful people in it?

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Qualitative research design 12 min read, primary vs secondary research 14 min read, business research methods 12 min read, qualitative research interviews 11 min read, market intelligence 10 min read, marketing insights 11 min read, ethnographic research 11 min read, request demo.

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161+ Exciting Qualitative Research Topics For STEM Students

Are you doing Qualitative research? Looking for the best qualitative research topics for stem students? It is a most interesting and good field for research. Qualitative research allows STEM (Science, Technology, Engineering, and Mathematics) students to delve deeper into complex issues, explore human behavior, and understand the intricacies of the world around them.

In this article, we’ll provide you with an extensive list of 161+ qualitative research topics tailored to STEM students. We’ll also explore how to find and choose good qualitative research topics, and why these topics are particularly beneficial for students, including those in high school.

Also Like To Read: 171+ Brilliant Quantitative Research Topics For STEM Students

Table of Contents

What Are Qualitative Research Topics for STEM Students

Qualitative research topics for stem students are questions or issues that necessitate an in-depth exploration of people’s experiences, beliefs, and behaviors. STEM students can use this approach to investigate societal impacts, ethical dilemmas, and user experiences related to scientific advancements and innovations.

Unlike quantitative research, which focuses on numerical data and statistical analysis, qualitative research delves into the ‘whys’ and ‘hows’ of a particular phenomenon.

How to Find and Choose Good Qualitative Research Topics

Selecting qualitative research topics for stem students is a crucial step in the research process. Here are some tips to help you find and choose a suitable topic:

• Passion and Interest: Start by considering your personal interests and passions. What topics within STEM excite you? Research becomes more engaging when you’re genuinely interested in the subject.
• Relevance: Choose qualitative research topics for stem students. Look for gaps in the existing knowledge or unanswered questions.
• Literature Review: Conduct a thorough literature review to identify the latest trends and areas where qualitative research is lacking. This can guide you in selecting a topic that contributes to the field.
• Feasibility: Ensure that your chosen topic is feasible within the resources and time constraints available to you. Some research topics may require extensive resources and funding.
• Ethical Considerations: Be aware of ethical concerns related to your qualitative research topics for stem students, especially when dealing with human subjects or sensitive issues.

Here are the most exciting and very interesting Qualitative Research Topics For STEM Students, high school students, nursing students, college students, etc.

Biology Qualitative Research Topics

• Impact of Ecosystem Restoration on Biodiversity
• Ethical Considerations in Human Gene Editing
• Public Perceptions of Biotechnology in Agriculture
• Coping Mechanisms and Stress Responses in Marine Biologists
• Cultural Perspectives on Traditional Herbal Medicine
• Community Attitudes Toward Wildlife Conservation Efforts
• Ethical Issues in Animal Testing and Research
• Indigenous Knowledge and Ethnobotany
• Psychological Well-being of Conservation Biologists
• Attitudes Toward Endangered Species Protection

Chemistry Qualitative Research Topics For STEM Students

• Adoption of Green Chemistry Practices in the Pharmaceutical Industry
• Public Perception of Chemical Safety in Household Products
• Strategies for Improving Chemistry Education
• Art Conservation and Chemical Analysis
• Consumer Attitudes Toward Organic Chemistry in Everyday Life
• Ethical Considerations in Chemical Waste Disposal
• The Role of Chemistry in Sustainable Agriculture
• Perceptions of Nanomaterials and Their Applications
• Chemistry-Related Career Aspirations in High School Students
• Cultural Beliefs and Traditional Chemical Practices

Physics Qualitative Research Topics

• Gender Bias in Physics Education and Career Progression
• Philosophical Implications of Quantum Mechanics
• Public Understanding of Renewable Energy Technologies
• Influence of Science Fiction on Scientific Research
• Perceptions of Dark Matter and Dark Energy in the Universe
• Student Experiences in High School Physics Classes
• Physics Outreach Programs and Their Impact on Communities
• Cultural Variations in the Perception of Time and Space
• Role of Physics in Environmental Conservation
• Public Engagement with Science Through Astronomy Events

Engineering Qualitative Research Topics For STEM Students

• Ethics in Artificial Intelligence and Robotics
• Human-Centered Design in Engineering
• Innovation and Sustainability in Civil Engineering
• Public Perception of Self-Driving Cars
• Engineering Solutions for Climate Change Mitigation
• Experiences of Women in Male-Dominated Engineering Fields
• Role of Engineers in Disaster Response and Recovery
• Ethical Considerations in Technology Patents
• Perceptions of Engineering Education and Career Prospects
• Students Views on the Role of Engineers in Society

Computer Science Qualitative Research Topics

• Gender Diversity in Tech Companies
• Ethical Implications of AI-Powered Decision-Making
• User Experience and Interface Design
• Cybersecurity Awareness and Behaviors
• Digital Privacy Concerns and Practices
• Social Media Use and Mental Health in College Students
• Gaming Culture and its Impact on Social Interactions
• Student Attitudes Toward Coding and Programming
• Online Learning Platforms and Student Satisfaction
• Perceptions of Artificial Intelligence in Everyday Life

Mathematics Qualitative Research Topics For STEM Students

• Gender Stereotypes in Mathematics Education
• Cultural Variations in Problem-Solving Approaches
• Perception of Math in Everyday Life
• Math Anxiety and Coping Mechanisms
• Historical Development of Mathematical Concepts
• Attitudes Toward Mathematics Among Elementary School Students
• Role of Mathematics in Solving Real-World Problems
• Homeschooling Approaches to Teaching Mathematics
• Effectiveness of Math Tutoring Programs
• Math-Related Stereotypes in Society

Environmental Science Qualitative Research Topics

• Local Communities’ Responses to Climate Change
• Public Understanding of Conservation Practices
• Sustainable Agriculture and Farmer Perspectives
• Environmental Education and Behavior Change
• Indigenous Ecological Knowledge and Biodiversity Conservation
• Conservation Awareness and Behavior of Tourists
• Climate Change Perceptions Among Youth
• Perceptions of Water Scarcity and Resource Management
• Environmental Activism and Youth Engagement
• Community Responses to Environmental Disasters

Geology and Earth Sciences Qualitative Research Topics For STEM Students

• Geologists’ Risk Perception and Decision-Making
• Volcano Hazard Preparedness in At-Risk Communities
• Public Attitudes Toward Geological Hazards
• Environmental Consequences of Extractive Industries
• Perceptions of Geological Time and Deep Earth Processes
• Use of Geospatial Technology in Environmental Research
• Role of Geology in Disaster Preparedness and Response
• Geological Factors Influencing Urban Planning
• Community Engagement in Geoscience Education
• Climate Change Communication and Public Understanding

Astronomy and Space Science Qualitative Research Topics

• The Role of Science Communication in Astronomy Education
• Perceptions of Space Exploration and Colonization
• UFO and Extraterrestrial Life Beliefs
• Public Understanding of Black Holes and Neutron Stars
• Space Tourism and Future Space Travel
• Impact of Space Science Outreach Programs on Student Interest
• Cultural Beliefs and Rituals Related to Celestial Events
• Space Science in Indigenous Knowledge Systems
• Public Engagement with Astronomical Phenomena
• Space Exploration in Science Fiction and Popular Culture

Medicine and Health Sciences Qualitative Research Topics

• Patient-Physician Communication and Trust
• Ethical Considerations in Human Cloning and Genetic Modification
• Public Attitudes Toward Vaccination
• Coping Strategies for Healthcare Workers in Pandemics
• Cultural Beliefs and Health Practices
• Health Disparities Among Underserved Communities
• Medical Decision-Making and Informed Consent
• Mental Health Stigma and Help-Seeking Behavior
• Wellness Practices and Health-Related Beliefs
• Perceptions of Alternative and Complementary Medicine

Psychology Qualitative Research Topics

• Perceptions of Body Image in Different Cultures
• Workplace Stress and Coping Mechanisms
• LGBTQ+ Youth Experiences and Well-Being
• Cross-Cultural Differences in Parenting Styles and Outcomes
• Perceptions of Psychotherapy and Counseling
• Attitudes Toward Medication for Mental Health Conditions
• Psychological Well-being of Older Adults
• Role of Cultural and Social Factors in Psychological Well-being
• Technology Use and Its Impact on Mental Health

Social Sciences Qualitative Research Topics

• Political Polarization and Online Echo Chambers
• Immigration and Acculturation Experiences
• Educational Inequality and School Policy
• Youth Engagement in Environmental Activism
• Identity and Social Media in the Digital Age
• Social Media and Its Influence on Political Beliefs
• Family Dynamics and Conflict Resolution
• Social Support and Coping Strategies in College Students
• Perceptions of Cyberbullying Among Adolescents
• Impact of Social Movements on Societal Change

Interesting Sociology Qualitative Research Topics For STEM Students

• Perceptions of Racial Inequality and Discrimination
• Aging and Quality of Life in Elderly Populations
• Gender Roles and Expectations in Relationships
• Online Communities and Social Support
• Cultural Practices and Beliefs Related to Marriage
• Family Dynamics and Coping Mechanisms
• Perceptions of Community Safety and Policing
• Attitudes Toward Social Welfare Programs
• Influence of Media on Perceptions of Social Issues
• Youth Perspectives on Education and Career Aspirations

Anthropology Qualitative Research Topics

• Traditional Knowledge and Biodiversity Conservation
• Cultural Variation in Parenting Practices
• Indigenous Language Revitalization Efforts
• Social Impacts of Tourism on Indigenous Communities
• Rituals and Ceremonies in Different Cultural Contexts
• Food and Identity in Cultural Practices
• Traditional Healing and Healthcare Practices
• Indigenous Rights and Land Conservation
• Ethnographic Studies of Marginalized Communities
• Cultural Practices Surrounding Death and Mourning

Economics and Business Qualitative Research Topics

• Small Business Resilience in Times of Crisis
• Workplace Diversity and Inclusion
• Corporate Social Responsibility Perceptions
• International Trade and Cultural Perceptions
• Consumer Behavior and Decision-Making in E-Commerce
• Business Ethics and Ethical Decision-Making
• Innovation and Entrepreneurship in Startups
• Perceptions of Economic Inequality and Wealth Distribution
• Impact of Economic Policies on Communities
• Role of Economic Education in Financial Literacy

Good Education Qualitative Research Topics For STEM Students

• Homeschooling Experiences and Outcomes
• Teacher Burnout and Coping Strategies
• Inclusive Education and Special Needs Integration
• Student Perspectives on Online Learning
• High-Stakes Testing and Its Impact on Students
• Multilingual Education and Bilingualism
• Perceptions of Educational Technology in Classrooms
• School Climate and Student Well-being
• Teacher-Student Relationships and Their Effects on Learning
• Cultural Diversity in Education and Inclusion

Environmental Engineering Qualitative Research Topics

• Sustainable Transportation and Community Preferences
• Ethical Considerations in Waste Reduction and Recycling
• Public Attitudes Toward Renewable Energy Projects
• Environmental Impact Assessment and Community Engagement
• Sustainable Urban Planning and Neighborhood Perceptions
• Water Quality and Conservation Practices in Residential Areas
• Green Building Practices and User Experiences
• Community Resilience in the Face of Climate Change
• Role of Environmental Engineers in Disaster Preparedness

Why Qualitative Research Topics Are Good for STEM Students

• Deeper Understanding: Qualitative research encourages STEM students to explore complex issues from a human perspective. This deepens their understanding of the broader impact of scientific discoveries and technological advancements.
• Critical Thinking: Qualitative research fosters critical thinking skills by requiring students to analyze and interpret data, consider diverse viewpoints, and draw nuanced conclusions.
• Real-World Relevance: Many qualitative research topics have real-world applications. Students can address problems, inform policy, and contribute to society by investigating issues that matter.
• Interdisciplinary Learning: Qualitative research often transcends traditional STEM boundaries, allowing students to draw on insights from psychology, sociology, anthropology, and other fields.
• Preparation for Future Careers: Qualitative research skills are valuable in various STEM careers, as they enable students to communicate complex ideas and understand the human and social aspects of their work.

Qualitative Research Topics for High School STEM Students

High school STEM students can benefit from qualitative research by honing their critical thinking and problem-solving skills. Here are some qualitative research topics suitable for high school students:

• Perceptions of STEM Education: Investigate students’ and teachers’ perceptions of STEM education and its effectiveness.
• Environmental Awareness: Examine the factors influencing high school students’ environmental awareness and eco-friendly behaviors.
• Digital Learning in the Classroom: Explore the impact of technology on learning experiences and student engagement.
• STEM Gender Gap: Analyze the reasons behind the gender gap in STEM fields and potential strategies for closing it.
• Science Communication: Study how high school students perceive and engage with popular science communication channels, like YouTube and podcasts.
• Impact of Extracurricular STEM Activities: Investigate how participation in STEM clubs and competitions influences students’ interest and performance in science and technology.

In essence, these are the best qualitative research topics for STEM students in the Philippines and are usable for other countries students too. Qualitative research topics offer STEM students a unique opportunity to explore the multifaceted aspects of their fields, develop essential skills, and contribute to meaningful discoveries. With the right topic selection, a strong research design, and ethical considerations, STEM students can easily get the best knowledge on exciting qualitative research that benefits both their career growth. So, choose a topic that resonates with your interests and get best job in your interest field.

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Forming Research Questions

• 1. Identify a topic
• 2. Conduct background research
• 3. Narrow topic into a question
• Types of Clinical Questions
• 5Ws for any question
• PICOT for quantitative
• PICo for qualitative
• PS for qualitative
• Other Research Question Frameworks

PS for Qualitative Questions

The  PS framework  may be easier to use when trying to create a focused and searchable qualitative question . Qualitative questions investigate experiences and meaning of phenomena or ask about an individual's or population's experience of situations.

• P - Population: Population or phenomenon of interest
• S -   Situation: What situation (experiences, conditions, attitudes, etc.) do you want to know more about?

PS Question Template:  How do/does ___[P]____ experience _____[S]_____?

• P - caregiver children of patients with Alzheimers 
• S - placing patients in nursing hom e

PS Question: How do  caregiver-children (P)  experience placing  patients with Alzheimers (P)  in a nursing home (S) ?

• << Previous: PICo for qualitative
• Next: Other Research Question Frameworks >>
• Last Updated: Jun 19, 2022 10:42 AM
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• 10 Research Question Examples to Guide Your Research Project

10 Research Question Examples to Guide your Research Project

Published on October 30, 2022 by Shona McCombes . Revised on October 19, 2023.

The research question is one of the most important parts of your research paper , thesis or dissertation . It’s important to spend some time assessing and refining your question before you get started.

The exact form of your question will depend on a few things, such as the length of your project, the type of research you’re conducting, the topic , and the research problem . However, all research questions should be focused, specific, and relevant to a timely social or scholarly issue.

Once you’ve read our guide on how to write a research question , you can use these examples to craft your own.

Note that the design of your research question can depend on what method you are pursuing. Here are a few options for qualitative, quantitative, and statistical research questions.

Other interesting articles

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

Methodology

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

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

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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 intervene or introduce treatments just like in quantitative research, qualitative research helps generate hypotheses as well as 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 stand-alone study, purely relying on qualitative data or it could be part of mixed-methods research that combines qualitative and quantitative data. This review introduces the readers to some basic concepts, definitions, terminology, and application of qualitative research.

Qualitative research at its core, ask 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 at hand, qualitative research design is often not linear in the same way quantitative design is. [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 difficult to accurately capture quantitatively, whereas a qualitative approach allows participants themselves to explain how, why, or what they were thinking, feeling, and experiencing at a certain 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 important 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, qualitative and quantitative work are not necessarily opposites nor are they incompatible. [4] While qualitative and quantitative approaches are different, they are not necessarily opposites, and they are 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 that there is 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 together.

Examples of Qualitative Research Approaches

Ethnography

Ethnography as a research design has its origins 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 with the aim of being able 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] As opposed to quantitative research which is deductive and tests or verifies an existing theory, grounded theory research is inductive and therefore lends itself to research that is aiming to study social interactions or experiences. [3] [2] In essence, Grounded Theory’s goal is to explain for example 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 defined as 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 quite similar, but upon careful examination, the differences can be seen. At its core, phenomenology looks to investigate experiences from the perspective of the individual. [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 whereas Phenomenology focuses on describing and explaining an event or phenomena 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 ‘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, in the hopes of creating 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 that underpin different approaches to research. Essentially, research paradigms are the ‘worldview’ that inform research. [4] It is valuable for researchers, both qualitative and quantitative, 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 ontology 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 the work researchers do. [2] It is important to understand the ontological and epistemological foundations of the research paradigm researchers are working within to allow for a full understanding of the approach being used and the assumptions that underpin the approach as a whole. Further, it is crucial that researchers 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 vs Postpositivist

To further understand qualitative research, we need to discuss positivist and postpositivist frameworks. Positivism is a philosophy that the scientific method can and should be applied to social as well as natural sciences. [4] Essentially, positivist thinking insists that the social sciences should use natural science methods in its research which stems from positivist ontology that there is an objective reality that exists that is fully 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 it 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 constructivist as well, meaning they think there is no objective external reality that exists but rather 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] Essentially, Constructivist thought focuses on how ‘reality’ is not a fixed certainty and experiences, interactions, and backgrounds give people a unique view of the world. Constructivism contends, unlike in positivist views, that there is not necessarily an ‘objective’ reality we all experience. This is the ‘relativist’ ontological view that reality and the world we live in 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 and can even change the role of the researcher themselves. [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 itself, as in postpositivist qualitative work? Understanding the philosophical base of the research undertaken allows researchers to fully understand the implications of their work and their role within the research, as well as reflect on their own 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 at play. The following are examples of participant sampling and selection: [7]

• Purposive sampling- selection based on the researcher’s rationale in terms of 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 is 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 a participant-observer to share the experiences of the subject or a non-participant or detached observer.

While quantitative research design prescribes a controlled environment for data collection, qualitative data collection may be in a central location or in the environment of the participants, 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 with the use of 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 also could be in the form of themes and theory or model development.

Dissemination

To standardize and facilitate the dissemination of qualitative research outcomes, the healthcare team can use two reporting standards. 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 wider range of qualitative research. [13]

Examples of Application

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 for a better understanding of what the numbers truly mean and their implications. The qualitative methods can then help clarify the quantitative data and also help refine the hypothesis for future research. Furthermore, with qualitative research researchers can explore subjects that are poorly studied with quantitative methods. These include opinions, individual's actions, and social science research.

A good 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 there are no omissions of part of the target population. A proper collection method should be selected which will help obtain the desired information without overly limiting the collected data because many times, the information sought is not well compartmentalized 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 both why teens start to smoke as well as 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 non-smokers). This survey provides specific numbers (ranked importance of each factor) and is thus a quantitative research tool.

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

The researcher can conduct interviews and/or focus groups (qualitative research) about what types and forms of peer pressure are commonly encountered, where the peer pressure comes from, and where smoking first starts. The researcher hypothetically finds that peer pressure often occurs after school at the local teen hangouts, mostly 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 of smoking. The researcher finds a local park where many local teenagers hang out and see that a shady, overgrown area of the park is where the smokers tend to hang out. The researcher notes the 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 of the park, 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 the 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 population their perceptions of the changes, what factors are still at play, as well as quantitative research that includes teen smoking rates in the community, the incidence of new teen smokers, among others. [14] [15]

Qualitative research functions as a standalone research design or in combination with quantitative research to enhance our understanding of the world. Qualitative research uses techniques including structured and unstructured interviews, focus groups, and participant observation to not only help generate hypotheses which 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 provides researchers with a way 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 different ways, including the criteria for evaluating them. There are four well-established criteria for evaluating quantitative data: internal validity, external validity, reliability, and objectivity. The correlating concepts in qualitative research are credibility, transferability, dependability, and confirmability. [4] [11] The corresponding quantitative and qualitative concepts can be seen below, with the quantitative concept is on the left, and the qualitative concept is 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 so should qualitative researchers 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 methods of data collection to increase the likelihood of getting a reliable and accurate result. In our above magic example, the result would be more reliable by also interviewing the magician, back-stage hand, and the person who "vanished." In qualitative research, triangulation can include using telephone surveys, in-person surveys, focus groups, and interviews as well as surveying an adequate cross-section of the target demographic.
• Peer examination: Results can be reviewed by a peer to ensure the data is consistent with the findings.

‘Thick’ or ‘rich’ description can be used to evaluate the transferability of qualitative research whereas using an indicator such as an audit trail might help with evaluating the dependability and confirmability.

• Thick or rich description 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 carried out. Thick descriptions are detailed enough to allow readers to draw conclusions and interpret the data themselves, 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 records of information should also be kept (e.g., surveys, notes, recordings).

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

• Hawthorne effect: The Hawthorne effect is the change in participant behavior when they know they are being observed. If a researcher was wanting to identify factors that contribute to employee theft and tells the employees they are going to watch them to see what factors affect employee theft, one would suspect employee behavior would change when they know they are being watched.
• Observer-expectancy effect: Some participants change their behavior or responses to satisfy the researcher's desired effect. This happens in an unconscious manner for the participant so it is important to eliminate or limit transmitting the researcher's views.
• Artificial scenario effect: Some qualitative research occurs in artificial scenarios and/or 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 research by itself or combined with 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 does not exist as an island apart from quantitative research, but as an integral part of research methods to be used for the understanding of the world around us. [17]

• Enhancing Healthcare Team Outcomes

Qualitative research is important for all members of the health care team 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 works, 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, health care 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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151+ Brilliant Qualitative Research Topics for STEM Students

Have you ever wondered about cool things in STEM (Science, Technology, Engineering, and Mathematics)? If not, here is all the info for students. Most of the students can explore through research? Well, let’s dive into a world of fascinating topics with “Qualitative Research Topics for STEM Students”

Have you ever wondered why plants grow differently in various environments or how kids learn math better? These are the types of questions that scientists and researchers in STEM fields love to investigate using a method called qualitative research. But wait, what exactly is qualitative research? It’s like being a detective, but instead of solving crimes, we explore and understand the world by collecting stories, experiences, and opinions to answer our curious questions.

Imagine exploring how people interact with robots or why some diseases affect certain groups more than others. That’s the playground of qualitative research for STEM students! It’s not just about numbers and equations; it’s about understanding people’s thoughts, behaviors, and experiences to solve real-world problems.

So, get ready to put on your research hat and join the exciting journey of uncovering amazing insights in STEM fields through qualitative research. Let’s explore topics that will make our scientific minds curious and our problem-solving skills sharper!

Table of Contents

What Are Qualitative Research Topics

Qualitative research in STEM (Science, Technology, Engineering, and Mathematics) encompasses a diverse array of areas, each offering an insightful lens into the human experience within scientific exploration and technological advancement. These research topics delve into the qualitative aspects of various scientific domains, aiming to understand perceptions, attitudes, ethical considerations, societal impacts, and human-centered approaches inherent in the STEM disciplines.

How Do I Find Good Qualitative Research Topics for STEM Students?

Finding good qualitative research topics for STEM students involves a systematic approach that considers various factors. Here’s a step-by-step guide to help you identify compelling research topics:

1. Explore Current Trends and Issues:

• Read scientific journals, articles, and reputable websites focusing on STEM fields. Identify emerging technologies, ongoing debates, and contemporary issues in your area of interest.
• Follow discussions in online forums, attend conferences, and join academic groups or societies related to your STEM discipline.

2. Consider Ethical and Societal Implications:

• Reflect on ethical dilemmas, societal impacts, and human-centered aspects of scientific advancements within your STEM field.
• Analyze how technological developments affect society, considering ethical concerns, inclusivity, and environmental impacts.

3. Brainstorm and Narrow Down Ideas:

• Brainstorm a list of potential research topics. Consider what interests you the most and aligns with your expertise or academic goals.
• Prioritize topics based on feasibility, relevance, and potential impact.

4. Conduct Preliminary Research:

• Conduct preliminary literature reviews to understand existing studies and gaps in knowledge within your chosen field.
• Look for areas where qualitative research methods can contribute significantly to understanding human perspectives, societal impact, or ethical considerations.

5. Engage with Academic Advisors or Mentors:

• Discuss potential research topics with professors, academic advisors, or mentors. They can provide valuable insights, suggest resources, and guide you toward suitable research areas.

6. Evaluate Feasibility and Resources:

• Assess the feasibility of conducting qualitative research within your chosen topic, considering available resources, time constraints, and access to data or participants.
• Ensure the topic allows for qualitative data collection methods such as interviews, surveys, observations, or focus groups.

7. Refine and Formulate Your Research Question:

• Refine your research topic into a specific, clear, and concise research question or hypothesis. Ensure it’s manageable within the scope of your study.

8. Consider Interdisciplinary Perspectives:

• Explore interdisciplinary connections within STEM fields. Consider how insights from different disciplines could enrich your research topic.

9. Seek Feedback and Validation:

• Share your potential research topics with peers, professors, or colleagues to get feedback and validation. Adjust or refine your topic based on their insights.

10. Stay Updated and Flexible:

• Remain flexible as your research progresses. New ideas, insights, or changes in the field might lead you to modify or adapt your research topic.

List of Qualitative Research Topics for STEM Students

Check out qualitative research topics for STEM:-

Cool Biology Qualitative Research Topics

• Cultural Perspectives on Traditional Medicine
• Ethical Considerations in Genetic Engineering
• Behavioral Ecology and Conservation
• Qualitative Analysis of Microbial Interactions in Soil
• Public Perception of Biotechnology in Agriculture

Chemistry Related Qualitative Research Topics for STEM Students

• Qualitative Assessment of Nanomaterials’ Environmental Impact
• Chemical Communication in Marine Organisms
• Perception of Chemical Safety in Consumer Products
• Societal Attitudes Towards Renewable Energy Technologies
• Ethical Implications of Chemical Warfare Agents

Computer Science Research Topics Qualitative

• User Experience Design in Augmented Reality Applications
• Ethical Considerations in AI Bias and Fairness
• Social Impacts of Online Information Filtering Algorithms
• Perceptions of Cybersecurity Risks in IoT Devices
• Qualitative Analysis of Educational Technology Adoption

Qualitative Research Topics for STEM Students For Engineering

• Human Factors in Transportation Technology
• Ethical Challenges in Biomedical Device Innovation
• Societal Perceptions of Smart Cities’ Infrastructure
• Qualitative Assessment of Sustainable Infrastructure Development
• Human-Centered Design in Robotics and Automation

Mathematics Qualitative Research Topics for STEM Students

• Qualitative Analysis of Problem-Solving Strategies in Mathematics
• Perception of Math Anxiety in Different Demographics
• Ethical Considerations in Cryptography and Data Security
• Qualitative Evaluation of Mathematics Education Policies
• Societal Attitudes Towards Statistical Interpretations

Physics Qualitative Research Topics

• Qualitative Study of Quantum Computing’s Public Perception
• Ethical Implications of Nuclear Energy Development
• Societal Perspectives on Space Exploration and Colonization
• Public Attitudes Towards Climate Change Physics
• Qualitative Analysis of Particle Physics Education Outreach

Environmental Science Research Topics

• Qualitative Assessment of Climate Change Adaptation Strategies
• Perception of Biodiversity Conservation Efforts
• Ethical Considerations in Environmental Policy Decision-Making
• Societal Attitudes Towards Plastic Pollution Solutions
• Qualitative Analysis of Urban Green Spaces’ Importance

Neuroscience Qualitative Research Topics for STEM Students

• Qualitative Study of Mental Health Stigmas in Society
• Ethical Considerations in Neuroscience Research with Human Subjects
• Societal Perceptions of Brain-Computer Interfaces
• Public Attitudes Towards Neurotechnologies for Rehabilitation
• Qualitative Analysis of Neurodiversity Advocacy

Agricultural Science Qualitative Research Topics for Students

• Perception of GMOs and Organic Farming in Agriculture
• Ethical Challenges in Animal Welfare in Farming Practices
• Societal Attitudes Towards Sustainable Agriculture Methods
• Qualitative Assessment of Food Security Initiatives
• Human-Centered Design in Agricultural Technology

Health Sciences Qualitative Research Topics

• Qualitative Study of Healthcare Disparities in Underserved Communities
• Ethical Implications of Gene Editing in Human Health
• Societal Perceptions of Telemedicine and Remote Health Services
• Public Attitudes Towards Vaccination and Immunization Programs
• Qualitative Analysis of Health Education and Promotion Campaigns

Robotics Qualitative Research Topics for STEM Students

• Perception of Robotics in Daily Life and Work Environments
• Ethical Considerations in AI-Powered Robotics Development
• Societal Attitudes Towards Humanoid Robots in Healthcare
• Public Perception of Autonomous Robotics in Transportation
• Qualitative Analysis of Robotics Education in Schools

Good Qualitative Research Topics for STEM Students For Bioengineering

• Qualitative Study of Bioprinting’s Social and Ethical Implications
• Perception of Human Enhancement Technologies
• Ethical Considerations in Organ Transplantation and Tissue Engineering
• Societal Attitudes Towards Bioinformatics and Personalized Medicine
• Qualitative Analysis of Bioengineering Entrepreneurship Challenges

Astronomy Qualitative Research Topics for STEM Students

• Qualitative Assessment of Public Interest in Astronomy
• Perception of Space Exploration’s Impact on Society
• Ethical Implications of Astrobiology and the Search for Extraterrestrial Life
• Societal Attitudes Towards Space Tourism and Commercial Space Travel
• Qualitative Study of Astronomy Education Outreach Programs

Materials Science Qualitative Research Topics

• Qualitative Analysis of Nanomaterials’ Perceived Risks and Benefits
• Perception of Sustainable Materials in Consumer Goods
• Ethical Considerations in Biodegradable Materials Development
• Societal Attitudes Towards Recycling and Circular Economy Initiatives
• Human-Centered Design in Materials Science Innovation

Biotechnology Qualitative Research Topics for STEM Students

• Qualitative Study of CRISPR-Cas9 Technology’s Public Perception
• Perception of Synthetic Biology and Its Ethical Implications
• Ethical Challenges in Biopharmaceutical Development
• Societal Attitudes Towards Biofuels and Renewable Bioproducts
• Qualitative Analysis of Biotechnology Education Programs

Amazing Qualitative Research Topics for STEM Students For Oceanography

• Qualitative Assessment of Ocean Conservation Efforts
• Perception of Plastic Pollution and Its Impact on Marine Life
• Ethical Considerations in Deep-Sea Mining
• Societal Attitudes Towards Ocean Exploration and Research
• Qualitative Study of Oceanography Awareness Campaigns

Geology Qualitative Research Topics for STEM Students

• Qualitative Analysis of Public Perception of Geological Hazards
• Perception of Climate Change’s Impact on Geology
• Ethical Considerations in Geological Resource Extraction
• Societal Attitudes Towards Geothermal Energy Exploration
• Qualitative Study of Geology Education and Outreach Programs

Atmospheric Science Qualitative Research Topics

• Qualitative Assessment of Public Understanding of Climate Models
• Perception of Air Quality and Its Effects on Health
• Ethical Implications of Geoengineering Solutions for Climate Change
• Societal Attitudes Towards Renewable Energy in Weather-Dependent Systems
• Qualitative Study of Atmospheric Science Communication Strategies

Genetics Interesting Qualitative Research Topics for STEM Students

• Qualitative Analysis of Public Attitudes Towards Genetic Privacy
• Perception of Genetic Testing and Its Ethical Boundaries
• Ethical Considerations in Gene Therapy Research
• Societal Attitudes Towards Genetic Modification in Agriculture
• Qualitative Study of Genetics Education and Public Outreach

Great Qualitative Research Topics for STEM Students In Bioinformatics

• Qualitative Assessment of Bioinformatics Tools in Biomedical Research
• Perception of Privacy and Data Security in Bioinformatics
• Ethical Considerations in Big Data Analysis in Life Sciences
• Societal Attitudes Towards Personal Genomics and Precision Medicine
• Qualitative Analysis of Bioinformatics Training Programs

Pharmacology Qualitative Research Topics for STEM Students

• Qualitative Study of Alternative Medicine Use and Perceptions
• Perception of Pharmaceutical Drug Safety and Regulation
• Ethical Implications of Clinical Trials and Human Testing
• Societal Attitudes Towards Drug Pricing and Accessibility
• Qualitative Analysis of Pharmacology Education Initiatives

Cognitive Science Qualitative Research Topics

• Qualitative Assessment of Cognitive Bias and Decision-Making
• Perception of AI in Human Cognition Augmentation
• Ethical Considerations in Brain-Computer Interface Technology
• Societal Attitudes Towards Memory Enhancement Technologies
• Qualitative Study of Cognitive Science in Education

Nanotechnology Qualitative Research Topics for STEM Students

• Qualitative Analysis of Nanotechnology Risk Perception
• Perception of Nanomedicine and Its Ethical Implications
• Ethical Considerations in Nanomaterials Manufacturing
• Societal Attitudes Towards Nanotechnology Applications in Daily Life
• Qualitative Study of Nanotechnology Awareness Campaigns

Top Rated Wildlife Conservation Qualitative Research Topics

• Qualitative Assessment of Conservation Awareness Programs
• Perception of Human-Wildlife Conflict and Its Solutions
• Ethical Considerations in Wildlife Rehabilitation and Conservation Practices
• Societal Attitudes Towards National Parks and Protected Areas
• Qualitative Study of Wildlife Conservation Education Initiatives

Plant Science Qualitative Research Topics for STEM Students

• Qualitative Analysis of Public Perception of GMO Crops
• Perception of Plant-Based Medicine and Its Cultural Significance
• Ethical Considerations in Plant Genetic Research
• Societal Attitudes Towards Urban Agriculture and Green Spaces
• Qualitative Study of Plant Science Education Outreach

Cell Biology Qualitative Research Topics

• Qualitative Assessment of Stem Cell Research Awareness
• Perception of Cellular Aging and Its Implications
• Ethical Considerations in Cloning and Cell Engineering
• Societal Attitudes Towards Cellular Therapies in Medicine
• Qualitative Study of Cell Biology in Science Communication

Anatomy Qualitative Research Topics for STEM Students

• Qualitative Analysis of Public Knowledge on Human Anatomy
• Perception of Anatomical Donations and Ethical Concerns
• Ethical Considerations in Human Body Imaging Technology
• Societal Attitudes Towards Organ Transplantation and Donation
• Qualitative Study of Anatomy Education and Awareness Campaigns

Environmental Engineering Qualitative Research Topics for Students

• Qualitative Assessment of Environmental Remediation Methods
• Perception of Wastewater Treatment Technologies
• Ethical Considerations in Ecological Restoration Projects
• Societal Attitudes Towards Sustainable Infrastructure Development
• Qualitative Study of Environmental Engineering Education Initiatives

Computational Biology Research Topics

• Qualitative Analysis of Computational Tools in Biology Research
• Perception of Data Privacy in Computational Biology
• Ethical Considerations in AI-Assisted Biology Research
• Societal Attitudes Towards Predictive Biological Modeling
• Qualitative Study of Computational Biology Outreach Programs

Virology Qualitative Research Topics for STEM Students

• Qualitative Assessment of Public Understanding of Viral Diseases
• Perception of Vaccines and Their Ethical Use
• Ethical Considerations in Virus Research and Experimentation
• Societal Attitudes Towards Pandemic Preparedness and Response
• Qualitative Study of Virology Education and Awareness Initiatives

Immunology Qualitative Research Topics

• Qualitative Analysis of Immunization Education and Perceptions
• Perception of Autoimmune Diseases and Their Social Impact
• Ethical Considerations in Immunotherapy Development
• Societal Attitudes Towards Herd Immunity and Vaccination Policies
• Qualitative Study of Immunology Outreach and Advocacy Programs

Biochemistry Qualitative Research Topics for STEM Students

• Qualitative Assessment of Public Understanding of Biomolecules
• Perception of Nutritional Biochemistry and Health
• Ethical Considerations in Biochemical Research with Human Subjects
• Societal Attitudes Towards Biochemical Engineering and Biotechnology
• Qualitative Study of Biochemistry Education and Communication Strategies

Qualitative Research Topics for STEM Students In Stem Cell Research

• Qualitative Analysis of Stem Cell Therapy Awareness
• Perception of Ethical Boundaries in Stem Cell Research
• Ethical Considerations in Stem Cell Banking and Usage
• Societal Attitudes Towards Stem Cell Regulations and Policies
• Qualitative Study of Stem Cell Research Public Engagement

Marine Biology Qualitative Research Topics for STEM Students

• Qualitative Assessment of Marine Conservation Efforts
• Perception of Coral Reef Degradation and Its Implications
• Ethical Considerations in Marine Wildlife Research
• Societal Attitudes Towards Sustainable Fishing Practices
• Qualitative Study of Marine Biology Education Initiatives
• Public Awareness and Perception of Marine Pollution

Other Most Interesting Qualitative Research Topics for STEM Students

Here are the unique Qualitative Research Topics for STEM Students:

Interesting and Informative Research Topics For Senior High School STEM Students

Survey research topics for stem students, best quantitative research topics for stem high school students, research topics for grade 11 stem students, research topics for grade 12 stem students, experimental research topics for stem students about plants, top 10 research topics for stem students, simple research topics for stem students, scientific research topics for stem students, correlational research topics for stem students, capstone research topics for stem students, non-experimental research topics for stem students, what are the best topics in qualitative research for stem students.

Calling all STEM enthusiasts on a quest for a qualitative research adventure! Get ready to unlock the treasure trove of captivating topics that blend the magic of storytelling with the wonders of science, technology, engineering, and a dash of enchantment:

1. Cracking the Code: The Secret Lives of Software Developers

Embark on a journey through the hidden realms of coding, uncovering the tales of triumphs, challenges, and the magical moments behind every line of code.

2. Engineering Marvels: Stories Behind the Designs

Dive deep into the narrative of engineering design, discovering the creativity, problem-solving , and the twists and turns in the magical journey of bringing ideas to life.

3. UX Magic: The Wizardry Behind User Experiences

Explore the qualitative side of user experiences in the tech world. What makes some interfaces spellbinding? Let’s unravel the secrets.

4. AI Dilemmas: Ethical Quandaries in Artificial Intelligence

Join the quest to explore how individuals navigate the complex ethical challenges lurking in the enchanted world of Artificial Intelligence.

5. STEM Education: A Tale of Teaching and Learning

Cast a spell on the narratives of educators and students alike, unveiling the mysteries of effective STEM teaching methods and learning experiences.

6. Women in STEM: Breaking the Spell

Hear the tales of resilience, challenges, and triumphs as women navigate the captivating world of STEM careers.

7. Robo Wonders: The Human Touch in Robotics Design

Discover the human factors influencing the design and usability of robots in various STEM applications. It’s more than just nuts and bolts!

8. Emotions in Science: The Rollercoaster of Discovery

Qualitatively explore the emotional landscapes of scientists, from the initial spark of curiosity to the euphoria of groundbreaking discoveries.

9. Gamification Magic: Learning STEM with a Twist

Join the adventure into the world of gamified STEM learning. What spells make learning fun, engaging, and effective?

10. Data Scientists Unveiled: Beyond the Numbers

Step into the shoes of data scientists and unravel the narrative behind the numbers. It’s not just about data; it’s about the stories they tell.

11. Startups and Sorcery: Entrepreneurs in STEM

Hear the enchanting stories of entrepreneurs in STEM fields. What challenges did they face, and how did they turn their ideas into magical startups?

12. Climate Chronicles: Scientists and the Call of Nature

Explore the narratives of environmental scientists as they communicate the urgency of climate change. How do their stories shape our understanding?

13. Biomedical Wizardry: Human-Centered Design in Action

Peel back the curtain on the human stories behind biomedical devices. What tales do these devices tell from the perspective of users?

14. Ethical Dilemmas: STEM Professionals at the Crossroads

Venture into the qualitative dimensions of ethical decision-making in STEM professions. What moral compass guides these modern-day wizards?

15. VR Voyages: Beyond Tech into the Realm of Experience

Qualitatively study users’ experiences in virtual reality. What emotional landscapes and perceptions unfold in this immersive journey beyond technology?

Gear up for an epic research adventure, fellow STEM sorcerers! May your inquiries be fruitful, your discoveries magical, and your narratives enchanting.

How Do I Choose Experimental Quantitative Research Topics For STEM Students?

Choosing a qualitative research topic is like embarking on a quest, and the first step is finding the perfect treasure map. Here’s your guide to navigating this exciting Quantitative Research Topics For STEM Students:

1. Discover Your Passion

Imagine this as a journey through uncharted territories. What sparks your curiosity? What gets you excited? Your research adventure should be fueled by your interests and passions.

2. Dive into the Story of Research

Picture yourself in a library that’s a bit like the Hogwarts of academia. Take a stroll through the literature, read the tales of past researchers, and see where your story intersects with theirs.

3. Check Your Backpack

Take stock of your resources. What’s in your backpack? How much time do you have? Knowing your limits helps you choose a quest that’s challenging but doable.

4. Quest Purpose

Every quest has a purpose. Define yours. Are you exploring, describing, understanding, or uncovering hidden realms? Knowing your quest’s purpose is like having a magical compass guiding your way.

5. Scope – Zoom In or Out

Decide if you want to zoom in on a specific creature in the forest or take a panoramic shot of the enchanted woods. Both are magical, but what suits your adventurer spirit?

6. Call a Council of Wizards

Seek advice from wise mentors and seasoned wizards. Their spells of wisdom can help you choose a quest that aligns with the stars and your own constellation.

7. Engage with the Locals

Imagine talking to the locals in a mystical village. Involve potential participants or stakeholders in your decision-making. Their insights might reveal secret passageways and shortcuts.

Best Qualitative Research Topics for STEM Students PDF

Here are the Qualitative Research Topics for STEM Students:

What Is An Example of Qualitative Research In Science?

Let’s embark on a scientific adventure that goes beyond charts and graphs, diving into the human side of climate change. Picture this: a qualitative research expedition that’s more about stories and emotions than cold, hard numbers.

The Climate Chronicles: Unveiling the Human Tale of Change

Our intrepid scientists set out not just to measure rising temperatures but to capture the heartbeat of a coastal community experiencing the frontline impacts of climate change.

Mission Objectives

• Discover the personal stories of locals as they navigate the ebb and flow of changing tides. How has the rising sea level rewritten the chapters of their lives?
• Explore the emotional landscape. What fears, hopes, and coping mechanisms emerge when faced with the unpredictable forces of climate change?
• Weave through the cultural fabric of the community’s relationship with the environment. How do these changes resonate culturally and emotionally?
• Highlight the community’s resilience. What communal efforts or practices have sprung up as a response to the environmental challenges?

Tools of Exploration

• Researchers delved into personal narratives through one-on-one interviews, giving the community a platform to share their unique experiences.
• Immerse yourself in the community’s daily life. Researchers became temporary residents, observing rituals, dynamics, and the heartbeat of the community.
• Gather ’round for focus group discussions where shared experiences, challenges, and collective brainstorming took center stage.

Reading Between the Lines

• Forget statistical jargon. Researchers uncovered recurring themes that resonated in the community’s stories, revealing the emotional and cultural layers of climate change.
• Instead of drowning findings in numerical data, the researchers opted for a storytelling approach. Imagine presenting scientific findings as a captivating narrative.

To wrap it up, the world of qualitative research topics for STEM students is like a backstage pass to the fascinating show where science and humanity share the limelight. It’s not just about equations and lab coats; it’s about the untold stories waiting to be discovered.

As STEM students embark on their research quests, they’re not just wielding pipettes and microscopes; they’re becoming the detectives of scientific narratives. These topics aren’t mere data points; they’re invitations to dive into the stories behind every breakthrough, every innovation, and every scientific twist and turn.

So, imagine STEM students as the Sherlock Holmes of the scientific realm, chasing clues, unraveling mysteries, and discovering the human heartbeat within the data. In this grand adventure of knowledge, may they not only find answers but also stumble upon the tales that make STEM a truly captivating journey.

Here’s to a future filled with exciting research, unexpected discoveries, and the thrill of being both scientists and storytellers. Happy exploring, STEM trailblazers!

Frequently Asked Questions

Why choose qualitative research in stem.

Qualitative research brings depth and context to STEM studies, unraveling the human stories behind scientific endeavors.

How can STEM students incorporate qualitative methods in their projects?

STEM students can integrate qualitative methods by crafting meaningful research questions and choosing methodologies that align with their inquiries.

Are there challenges specific to conducting qualitative research in STEM?

Yes, challenges exist, such as balancing objectivity and subjectivity, but qualitative research offers valuable insights that outweigh these hurdles.

Can qualitative research contribute to improving STEM education?

Absolutely. By understanding the lived experiences of STEM learners, qualitative research provides valuable input for enhancing educational approaches.

What is the future of qualitative research in emerging STEM fields?

The future is promising, with qualitative research playing a vital role in shaping and understanding the dynamics of emerging STEM disciplines.

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189+ Most Exciting Qualitative Research Topics For Students

Researchers conduct qualitative studies to gain a holistic understanding of the topic under investigation. Analyzing qualitative? Looking for the best qualitative research topics? 

If yes, you are here at the right place. We are discussing here all the topics in every field. Basically, qualitative research is the most valuable approach within the fields of social sciences, humanities, and various other fields. 

Qualitative research uses a wide array of methods such as interviews, focus groups, participant observation, content analysis, and case studies. Even among others, to gather and analyze non-numerical data. 

In this blog, we will explore the diverse, most interesting qualitative research topics, highlighting their importance. Whether you are a student, a scholar, or a practitioner in your field, these best qualitative research ideas are most helpful for you.

Must Read: 21 Ways To Get Good Grades In College

What Is Qualitative Research

Table of Contents

Qualitative research is a systematic and exploratory approach to research that focuses on understanding and interpreting the complexities of human experiences, behaviors, and phenomena. It aims to provide in-depth insights into the “how” and “why” of various issues by examining them in their natural settings and contexts. Unlike quantitative research, which primarily deals with numerical data and statistical analysis, qualitative research relies on non-numerical data such as interviews, observations, textual analysis, and participant narratives to uncover deeper meanings and patterns.

Key Characteristics Of Qualitative Research

These are the main features of Qualitative research. It is such as;

1. Subjective Understanding

Qualitative research is concerned with subjective aspects of human experiences, such as beliefs, emotions, values, and perceptions. It seeks to understand the world from the perspectives of the individuals being studied.

2. Contextual Exploration

Researchers immerse themselves in the context or environment in which the phenomenon of interest occurs. This contextual understanding is crucial for interpreting the findings accurately.

3. Flexibility

Qualitative research methods are flexible and adaptive, allowing researchers to adjust their approaches as they gain insights during the research process.

4. Small Sample Sizes

Qualitative studies often involve smaller samples compared to quantitative research, but they prioritize depth over breadth, aiming to gain a profound understanding of a particular group or issue.

5. Data Collection Techniques

Qualitative data is gathered through various techniques, including interviews, focus groups, participant observations, document analysis, and open-ended surveys. Researchers often use a combination of these methods to triangulate their findings.

6. Inductive Approach

Qualitative research typically employs an inductive approach, meaning that researchers develop theories or concepts based on the data they collect, rather than testing pre-existing hypotheses.

7. Rich and Detailed Data

The data collected in qualitative research is rich and descriptive, often involving transcripts of interviews, field notes, or coded textual data. Researchers analyze this data to identify themes, patterns, and relationships.

8 Great Tips On How To Choose Good Qualitative Research Topics

Here are some tips to help you select strong qualitative research topics:

1. Personal Interest and Passion: Start by considering what genuinely interests and excites you. Your enthusiasm for the topic will sustain your motivation throughout the research process.

2. Relevance: Ensure that your chosen topic is relevant to your field of study or the discipline you are working within. It should contribute to existing knowledge or address a meaningful research gap.

3. Research Gap Identification: Review relevant literature and research to identify gaps or areas where there is limited qualitative research. Look for unanswered questions or underexplored aspects of a particular subject.

4. Feasibility: Assess whether the topic is feasible within the scope of your research project. Consider factors like available time, resources, and access to potential participants or data sources.

5. Clarity and Specificity: Your research topic should be clear, specific, and well-defined. Avoid overly broad topics that are difficult to explore in depth. Narrow it down to a manageable focus.

6. Significance: Ask yourself why your research topic matters. Consider the potential implications and applications of your findings. How might your research contribute to understanding, policy, or practice?

7. Originality: Aim for a unique angle or perspective on the topic. While you can build on existing research, strive to offer a fresh viewpoint or new insights.

8. Researchable : Ensure that your topic is researchable using qualitative methods. It should allow you to collect relevant data and answer research questions effectively.

137+ Most Exciting Qualitative Research Topics For All Students 

These are The following best qualitative research topics are given below for the students. 

Qualitative Research Topics In Health and Medicine

• Experiences of healthcare workers during the COVID-19 pandemic.
• Perceptions of alternative medicine among cancer patients.
• Coping mechanisms of individuals with chronic illnesses.
• The impact of telemedicine on patient-doctor relationships.
• Barriers to mental health treatment-seeking among minority populations.
• Qualitative analysis of patient experiences with organ transplantation.
• Decision-making processes of families regarding end-of-life care.

Qualitative Research Topics In Education

• The role of parental involvement in student academic achievement.
• Teacher perceptions of remote learning during a pandemic.
• Peer influence on academic motivation and performance.
• Exploring the experiences of homeschooling families.
• The impact of technology on the classroom environment.
• Factors influencing student dropout rates in higher education.

Qualitative Research Topics In Psychology and Mental Health

• Understanding the stigma associated with seeking therapy.
• Experiences of individuals living with anxiety disorders.
• Perceptions of body image among adolescents.
• Coping strategies of survivors of traumatic events.
• The impact of social support on mental health recovery.
• Narratives of individuals with eating disorders.

Qualitative Research Topics In Sociology and Culture

• Experiences of immigrants in adapting to a new culture.
• The role of social media in shaping cultural identities.
• Perceptions of police-community relations in marginalized communities.
• Gender dynamics in the workplace and career progression.
• Qualitative analysis of online dating experiences.
• Narratives of LGBTQ+ individuals coming out to their families.

Qualitative Research Topics In Technology and Society

• User experiences with augmented reality applications.
• Perceptions of online privacy and data security.
• The impact of social media on political activism.
• Ethical considerations in artificial intelligence development.
• Qualitative analysis of online gaming communities.
• Experiences of individuals participating in virtual reality environments.

Qualitative Research Topics In Environmental Studies

• Public perceptions of climate change and environmental policies.
• Experiences of individuals involved in sustainable living practices.
• Qualitative analysis of environmental activism movements.
• Community responses to natural disasters and climate change.
• Perspectives on wildlife conservation efforts.

Qualitative Research Topics In Business and Economics

• Qualitative analysis of consumer behavior and brand loyalty.
• Entrepreneurial experiences of women in male-dominated industries.
• Factors influencing small business success or failure.
• Corporate social responsibility and its impact on consumer trust.
• Experiences of employees in remote work settings.

Qualitative Research Topics In Politics and Governance

• Perceptions of voter suppression and electoral integrity.
• Experiences of political activists in grassroots movements.
• The role of social media in shaping political discourse.
• Narratives of individuals involved in civil rights movements.
• Qualitative analysis of government responses to crises.

Qualitative Research Topics In Family and Relationships

• Experiences of couples in long-distance relationships.
• Parenting styles and their impact on child development.
• Sibling dynamics and their influence on individual development.
• Narratives of individuals in arranged marriages.
• Experiences of single parents in raising their children.

Qualitative Research Topics In Art and Culture

• Qualitative analysis of the impact of art therapy on mental health.
• Experiences of artists in exploring social and political themes.
• Perceptions of cultural appropriation in the arts.
• Narratives of individuals involved in the hip-hop culture.
• The role of art in preserving cultural heritage.

Qualitative Research Topics In Crime and Justice

• Experiences of formerly incarcerated individuals reentering society.
• Perceptions of racial profiling and police violence.
• Qualitative analysis of restorative justice programs.
• Narratives of victims of cyberbullying.
• Perspectives on juvenile justice reform.

Qualitative Research Topics In Sports and Recreation

• Experiences of athletes in overcoming career-threatening injuries.
• The role of sports in building resilience among youth.
• Perceptions of performance-enhancing drugs in professional sports.
• Qualitative analysis of sports fandom and its impact on identity.
• Narratives of individuals involved in adaptive sports.

Qualitative Research Topics In History and Heritage

• Experiences of descendants of historical events or figures.
• Perceptions of cultural preservation and heritage conservation.
• Narratives of individuals connected to indigenous cultures.
• The impact of oral history on preserving traditions.
• Qualitative analysis of historical reenactment communities.

Qualitative Research Topics In Religion and Spirituality

• Experiences of individuals who have undergone religious conversion.
• Perceptions of spirituality and well-being.
• The role of religion in shaping moral values and ethics.
• Narratives of individuals who have left religious communities.
• Qualitative analysis of interfaith dialogue and cooperation.

Qualitative Research Topics In Travel and Tourism

• Experiences of solo travelers in foreign countries.
• Perceptions of sustainable tourism practices.
• Qualitative analysis of cultural immersion through travel.
• Narratives of individuals on pilgrimages or spiritual journeys.
• Experiences of individuals living in tourist destinations.

Qualitative Research Topics In Human Rights and Social Justice

• Narratives of human rights activists in advocating for change.
• Experiences of refugees and asylum seekers.
• Perceptions of income inequality and wealth distribution.
• Qualitative analysis of anti-discrimination campaigns.
• Perspectives on global efforts to combat human trafficking.

Qualitative Research Topics In Aging and Gerontology

• Experiences of individuals in assisted living facilities.
• Perceptions of aging and quality of life in older adults.
• Narratives of caregivers for elderly family members.
• The impact of intergenerational relationships on well-being.
• Qualitative analysis of end-of-life decisions and hospice care.

Qualitative Research Topics In Language and Communication

• Experiences of individuals learning a second language.
• Perceptions of non-verbal communication in cross-cultural interactions.
• Narratives of people who communicate primarily through sign language.
• The role of language in shaping identity and belonging.
• Qualitative analysis of online communication in virtual communities.

Qualitative Research Topics In Media and Entertainment

• Experiences of content creators in the digital media industry.
• Perceptions of representation in the film and television industry.
• The impact of music on emotional well-being and identity.
• Narratives of individuals involved in fan communities.
• Qualitative analysis of the effects of binge-watching on mental health.

Qualitative Research Topics In Ethics and Morality

• Experiences of individuals faced with ethical dilemmas.
• Perceptions of moral relativism and cultural differences.
• Narratives of whistleblowers in exposing corporate misconduct.
• The role of empathy in ethical decision-making.
• Qualitative analysis of the ethics of artificial intelligence.

Qualitative Research Topics In Technology and Education

• Experiences of teachers integrating technology in the classroom.
• Perceptions of online learning and its effectiveness.
• The impact of educational apps on student engagement.
• Narratives of students with disabilities using assistive technology.
• Qualitative analysis of the digital divide in education.

Qualitative Research Topics In Gender and Sexuality

• Experiences of transgender individuals in transitioning.
• Perceptions of gender roles and expectations.
• Narratives of individuals in same-sex relationships.
• The impact of intersectionality on experiences of gender and sexuality.
• Qualitative analysis of gender-based violence and advocacy.

Qualitative Research Topics In Migration and Diaspora

• Experiences of immigrants in maintaining cultural ties to their home country.
• Perceptions of identity among second-generation immigrants.
• Narratives of refugees resettling in new countries.
• The role of diaspora communities in supporting homeland causes.
• Qualitative analysis of immigration policies and their impact on families.

Qualitative Research Topics In Food and Nutrition

• Experiences of individuals with specific dietary restrictions.
• Perceptions of food sustainability and ethical consumption.
• Narratives of people with eating disorders seeking recovery.
• The role of food in cultural identity and traditions.
• Qualitative analysis of food insecurity and hunger relief efforts.

Qualitative Research Topics In Urban Studies and Community Development

• Experiences of residents in gentrifying neighborhoods.
• Perceptions of community engagement and empowerment.
• Narratives of individuals involved in urban farming initiatives.
• The impact of housing policies on homelessness.
• Qualitative analysis of neighborhood safety and crime prevention.

Qualitative Research Topics In Science and Technology Ethics

• Experiences of scientists in navigating ethical dilemmas.
• Perceptions of scientific responsibility in climate change research.
• Narratives of whistleblowers in scientific misconduct cases.
• The role of ethics in emerging technology development.
• Qualitative analysis of the ethics of genetic engineering.

Qualitative Research Topics In Social Media and Online Communities

• Experiences of individuals in online support groups.
• Perceptions of social media’s influence on self-esteem.
• Narratives of social media influencers and their impact.
• The role of online communities in social and political movements.
• Qualitative analysis of cyberbullying and online harassment.

Qualitative Research Topics in Daily Life

• The Impact of Social Media on Personal Relationships and Well-being.
• Exploring the Experience of Remote Work during the COVID-19 Pandemic.
• Perceptions of Sustainable Living Practices Among Urban Dwellers.
• Qualitative Analysis of Food Choices and Eating Habits in a Fast-paced Society.
• Understanding the Motivations and Barriers to Physical Activity Among Adults.

Qualitative Research Topics for Students

• Student Perceptions of Online Learning: Challenges and Opportunities.
• Peer Pressure and Decision-making Among Adolescents.
• Exploring the Transition from High School to College: Student Experiences.
• The Role of Extracurricular Activities in Student Development.
• Motivations and Challenges of Student Entrepreneurs in Starting Their Businesses.

Qualitative Research Topics for STEM Students

• Qualitative Analysis of Ethical Dilemmas in Scientific Research.
• Women in STEM: Barriers, Challenges, and Strategies for Success.
• Understanding the Decision-making Process in Biomedical Research.
• Qualitative Exploration of Team Dynamics in Engineering Projects.
• Perceptions of Artificial Intelligence and Automation Among STEM Professionals.

Qualitative Research Titles Examples

• “Voices of Resilience: Narratives of Cancer Survivors.”
• “Exploring Cultural Identity Among Immigrant Communities.”
• “From Addiction to Recovery: Life Stories of Former Substance Abusers.”
• “Inside the Classroom: Student and Teacher Perspectives on Inclusive Education.”
• “Navigating Caregiving: Experiences of Family Members Caring for Alzheimer’s Patients.”

Qualitative Research Topics in Education

• Teacher Beliefs and Practices in Culturally Responsive Pedagogy.
• Qualitative Study of Bullying Incidents in Elementary Schools.
• Homeschooling: Parent and Student Perspectives on Alternative Education.
• Evaluating the Impact of Technology Integration in Classroom Learning.
• Parental Involvement in Early Childhood Education: A Qualitative Analysis.

Qualitative Research Topics for Nursing Students

• Patient Experiences of Chronic Illness Management.
• The Role of Empathy in Nursing Practice: A Qualitative Study.
• Qualitative Exploration of End-of-Life Care Decision-making.
• Perceptions of Nurse-Patient Communication in Intensive Care Units.
• Nursing Burnout: Causes, Consequences, and Coping Strategies.

Qualitative Research Topics for Human Studies

• Understanding the Impact of Climate Change on Vulnerable Communities.
• The Role of Social Support in Mental Health Recovery.
• Experiences of First-time Homebuyers in the Real Estate Market.
• Exploring the Motivations and Challenges of Volunteering.
• Narratives of Trauma Survivors: Coping and Resilience.

Qualitative Research Topics 2023

• Emerging Trends in Remote Work: Employee Perspectives.
• The Influence of Social Media on Political Engagement in the Post-COVID-19 Era.
• Qualitative Study of Mental Health Stigma Reduction Campaigns.
• Sustainability Practices in Business: Stakeholder Perceptions and Implementation.
• Narratives of Long COVID: The Lived Experience of Survivors.

10 Major Differences Between Qualitative And Quantitative Research 

Here are the 10 best differences between qualitative and quantitative research:

Conclusion – Qualitative Research Topics 

Consequently, the selection of qualitative research topics is a critical phase in the journey of any researcher or student pursuing qualitative inquiry. The process of choosing the right topic involves a delicate balance of personal passion, research significance, feasibility, and ethical considerations. 

As we’ve discussed, it’s essential to choose a topic that not only resonates with your interests but also contributes to the broader academic or practical discourse. Qualitative research offers a unique lens through which to examine the complexities of human experiences, behaviors, and phenomena. 

It provides the opportunity to delve deep into the “how” and “why” of various subjects, offering nuanced insights that quantitative methods may not capture. Whether you are investigating personal narratives, cultural dynamics, educational practices, or social phenomena, qualitative research allows you to uncover the rich tapestry of human existence.

What is a good topic for qualitative research?

Self-esteem among people from low socioeconomic backgrounds. The advantages of online learning over physical learning.

What are the five topics of qualitative research?

These are biography, ethnography, phenomenology, grounded theory, and case study.

What is the easiest type of qualitative research?

Content analysis is possibly the most common and straightforward QDA method. At the simplest level, content analysis.

What are the 4 R’s of qualitative research?

Qualitative social research, whether conducted as ethnography, participant observation, or in situ interviewing, fares poorly when examined by the criteria of representativeness, reactivity, reliability, and replicability.

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Qualitative Study

Affiliations.

• 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 intervene or introduce treatments just like in quantitative research, qualitative research helps generate hypotheses as well as 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 stand-alone study, purely relying on qualitative data or it could be part of mixed-methods research that combines qualitative and quantitative data. This review introduces the readers to some basic concepts, definitions, terminology, and application of qualitative research.

Qualitative research at its core, ask 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 at hand, qualitative research design is often not linear in the same way quantitative design is. 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 difficult to accurately capture quantitatively, whereas a qualitative approach allows participants themselves to explain how, why, or what they were thinking, feeling, and experiencing at a certain 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 important 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, qualitative and quantitative work are not necessarily opposites nor are they incompatible. While qualitative and quantitative approaches are different, they are not necessarily opposites, and they are 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 that there is 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 together.

Examples of Qualitative Research Approaches

Ethnography

Ethnography as a research design has its origins in social and cultural anthropology, and involves the researcher being directly immersed in the participant’s environment. Through this immersion, the ethnographer can use a variety of data collection techniques with the aim of being able to produce a comprehensive account of the social phenomena that occurred during the research period. 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.” As opposed to quantitative research which is deductive and tests or verifies an existing theory, grounded theory research is inductive and therefore lends itself to research that is aiming to study social interactions or experiences. In essence, Grounded Theory’s goal is to explain for example 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 defined as the “study of the meaning of phenomena or the study of the particular”. At first glance, it might seem that Grounded Theory and Phenomenology are quite similar, but upon careful examination, the differences can be seen. At its core, phenomenology looks to investigate experiences from the perspective of the individual. 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 whereas Phenomenology focuses on describing and explaining an event or phenomena 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 ‘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, in the hopes of creating a cohesive story, or narrative. 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”.

Research Paradigm

Research paradigms are the assumptions, norms, and standards that underpin different approaches to research. Essentially, research paradigms are the ‘worldview’ that inform research. It is valuable for researchers, both qualitative and quantitative, 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 ontology 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 the work researchers do. It is important to understand the ontological and epistemological foundations of the research paradigm researchers are working within to allow for a full understanding of the approach being used and the assumptions that underpin the approach as a whole. Further, it is crucial that researchers 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 vs Postpositivist

To further understand qualitative research, we need to discuss positivist and postpositivist frameworks. Positivism is a philosophy that the scientific method can and should be applied to social as well as natural sciences. Essentially, positivist thinking insists that the social sciences should use natural science methods in its research which stems from positivist ontology that there is an objective reality that exists that is fully 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 it could be approximated. 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. 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 constructivist as well, meaning they think there is no objective external reality that exists but rather 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”. Essentially, Constructivist thought focuses on how ‘reality’ is not a fixed certainty and experiences, interactions, and backgrounds give people a unique view of the world. Constructivism contends, unlike in positivist views, that there is not necessarily an ‘objective’ reality we all experience. This is the ‘relativist’ ontological view that reality and the world we live in are dynamic and socially constructed. Therefore, qualitative scientific knowledge can be inductive as well as deductive.”

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 and can even change the role of the researcher themselves. For example, is the researcher an ‘objective’ observer such as in positivist quantitative work? Or is the researcher an active participant in the research itself, as in postpositivist qualitative work? Understanding the philosophical base of the research undertaken allows researchers to fully understand the implications of their work and their role within the research, as well as reflect on their own 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 at play. The following are examples of participant sampling and selection:

Purposive sampling- selection based on the researcher’s rationale in terms of 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 is 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 a participant-observer to share the experiences of the subject or a non-participant or detached observer.

While quantitative research design prescribes a controlled environment for data collection, qualitative data collection may be in a central location or in the environment of the participants, 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 with the use of Computer Assisted Qualitative Data Analysis Software or CAQDAS such as ATLAS.ti or NVivo.

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. Results also could be in the form of themes and theory or model development.

Dissemination

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

Examples of Application

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 for a better understanding of what the numbers truly mean and their implications. The qualitative methods can then help clarify the quantitative data and also help refine the hypothesis for future research. Furthermore, with qualitative research researchers can explore subjects that are poorly studied with quantitative methods. These include opinions, individual's actions, and social science research.

A good 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 there are no omissions of part of the target population. A proper collection method should be selected which will help obtain the desired information without overly limiting the collected data because many times, the information sought is not well compartmentalized 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 both why teens start to smoke as well as 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 non-smokers). This survey provides specific numbers (ranked importance of each factor) and is thus a quantitative research tool.

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

The researcher can conduct interviews and/or focus groups (qualitative research) about what types and forms of peer pressure are commonly encountered, where the peer pressure comes from, and where smoking first starts. The researcher hypothetically finds that peer pressure often occurs after school at the local teen hangouts, mostly 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 of smoking. The researcher finds a local park where many local teenagers hang out and see that a shady, overgrown area of the park is where the smokers tend to hang out. The researcher notes the 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 of the park, 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 the 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 population their perceptions of the changes, what factors are still at play, as well as quantitative research that includes teen smoking rates in the community, the incidence of new teen smokers, among others.

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

Publication types

• Study Guide