primary research question examples

27 Real Primary Research Examples

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Primary research is a type of academic research that involves collecting new and original data to conduct a study.

Examples of primary research include studies that collect data through interviews, questionnaires, original text analysis, observation, surveys, focus groups, case studies, and ethnography.

It is the opposite of secondary research which involves looking at existing data to identify trends or new insights. Both secondary and primary research are legitimate forms of academic research.

Primary Research Examples

1. interviews.

Interviews involve approaching relevant people and asking them questions to gather their thoughts and opinions on a topic. This can take the form of structured, semi-strutured, and unstructured interviews.

Structured interviews generally do not involve back-and-forth discussion between the researcher and the research participant, while semi-structured and unstructured interviews involve the interviewer asking follow-up questions to dig deeper and elicit more insights.

2. Questionnaires and Surveys

Questionnaires are text-based interviews where a set of questions are written down by the researchers and sent to the research participants. The participants fill out the questionnaires and return them to the researcher.

The researcher then anonymizes the data and analyzes it by looking for trends and patterns across the dataset. They may do this manually or use research tools to find similarities and differences in the responses of the research participants.

A simple questionnaire can take the form of a Likert scale which involves asking a research participant to circle their opinion on a set of pre-determined responses (e.g. ‘Very Likely, Likely, Unlikely, Very Unlikely’). Other questionnaires require participants to write detailed paragraphs responding to questions which can then be analyzed.

One benefit of surveys over interviews is that it’s easier to gather large datasets.

3. Control Group Analysis

Control group analyses involve separating research participants into two groups: the control group and the experimental group.

An intervention is applied to the experimental group. Researchers then observe the results and compare them to the control group to find out the effects of the intervention.

This sort of research is very common in medical research. For example, a new pill on the market might be used on two groups of sick patients to see whether the pill was effective in improving one group’s condition. If so, it may receive approval to go into the market.

4. Observation Studies

Observational studies involve the researchers entering a research setting and recording their naturalistic observations of what they see. These observations can then form the basis of a thesis.

Longer-term observation studies where the researcher is embedded in a community are called ethnographic studies.

Tools for observation studies include simple pen-and-paper written vignettes about a topic, recording with the consent of research participants, or using field measuring devices.

Observational studies in fields like anthropology can lead to rich and detailed explanations of complex phenomena through a process called thick description . However, they’re inherently qualitative, subjective , and small-case studies that often make it difficult to make future predictions or hard scientific findings.

Another research limitation is that the presence of the researcher can sometimes affect the behavior of the people or animals being observed.

Go Deeper: 15 Ethnography Examples

5. Focus Groups

Focus groups are similar to interviews, but involve small groups of research participants interacting with the interviewer and, sometimes, one another.

Focus group research is common, for example, in political research, where political parties commission independent research organizations to collect data about the electorate’s perceptions of the candidates. This can help inform them of how to more effectively position the candidate in advertising and press stops.

The biggest benefit of focus group studies is that they can gather qualitative information from a wider range of research participants than one-to-one interviews. However, the downside is that research participants tend to influence each others’ responses.

See More: Examples of Focus Groups

6. Online Surveys

Online surveys are similar in purpose to offline questionnaires and surveys, but have unique benefits and limitations.

Like offline surveys and questionnaires, they can be in the form of written responses, multiple choice, and Likert scales.

However, they have some key benefits including: capacity to cast a wide net, ease of snowball sampling, and ease of finding participants.

These strengths also present some potential weaknesses: poorly designed online surveys may be corrupted if the sample is not sufficiently vetted and only distributed to non-representative sample sets (of course, this can be offset, depending on the study design).

7. Action Research

Action research involves practitioners conducting just-in-time research in an authentic setting to improve their own practice. The researcher is an active participant who studies the effects of interventions.

It sits in contrast to other forms of primary research in this list, which are mostly conducted by researchers who attempt to detach themselves from the subject of study. Action research, on the other hand, involves a researcher who is also a participant.

Action research is most commonly used in classrooms, where teachers take the role of researchers to improve their own teaching and learning practices. However, action research can be used in other fields as well, particularly healthcare and social work.

Go Deeper: 21 Action Research Examples

8. Discourse and Textual Analysis

Discourse and textual analyses are studies of language and text. They could involve, for example, the collection of a selection of newspaper articles published within a defined timeframe to identify the ideological leanings of the newspapers.

This sort of analysis can also explore the language use of media to study how media constructs stereotypes. The quintessential example is the study of gender identities is Disney texts, which has historically shown how Disney texts promote and normalize gender roles that children could internalize.

Textual analysis is often confused as a type of secondary research. However, as long as the texts are primary sources examined from scratch, it should be considered primary research and not the analysis of an existing dataset.

Go Deeper: 21 Discourse Analysis Examples

9. Multimodal, Visual, and Semiotic Analysis

Discourse and textual analyses traditionally focused on words and written text. But with the increasing presence of visual texts in our lives, scholars had to come up with primary research studies that involved the analysis of multimodal texts .

This led to studies such as semiotics and multimodal discourse analysis. This is still considered primary research because it involves the direct analysis of primary data (such as pictures, posters, and movies).

While these studies tend to borrow significantly from written text analysis, they include methods such as social semiotic to explore how signs and symbols garner meaning in social contexts. This enables scholars to examine, for example, children’s drawings through to famous artworks.

Often, primary research is a more highly-regarded type of research than secondary research because it involves gathering new data.

However, secondary research should not be discounted: the synthesis, categorization, and critique of an existing corpus of research can reveal excellent new insights and help to consolidate academic knowledge and even challenge longstanding assumptions .

References for the mentioned studies (APA Style)

Atack, L., & Rankin, J. (2002). A descriptive study of registered nurses’ experiences with web‐based learning. Journal of Advanced Nursing , 40 (4), 457-465.

Baughcum, A. E., Burklow, K. A., Deeks, C. M., Powers, S. W., & Whitaker, R. C. (1998). Maternal feeding practices and childhood obesity: a focus group study of low-income mothers. Archives of pediatrics & adolescent medicine , 152 (10), 1010-1014.

Calvert, M., & Sheen, Y. (2015). Task-based language learning and teaching: An action-research study. Language Teaching Research , 19 (2), 226-244.

Coker, D. L., Farley-Ripple, E., Jackson, A. F., Wen, H., MacArthur, C. A., & Jennings, A. S. (2016). Writing instruction in first grade: An observational study. Reading and Writing , 29 (5), 793-832.

Cossrow, N. H., Jeffery, R. W., & McGuire, M. T. (2001). Understanding weight stigmatization: A focus group study. Journal of nutrition education , 33 (4), 208-214.

Costello, J. (2006). Dying well: nurses’ experiences of ‘good and bad’deaths in hospital. Journal of advanced nursing , 54 (5), 594-601.

Deckx, L., Mitchell, G., Rosenberg, J., Kelly, M., Carmont, S. A., & Yates, P. (2019). General practitioners’ engagement in end-of-life care: a semi-structured interview study. BMJ Supportive & Palliative Care .

Drew, C. (2013). Elitism for sale: Promoting the elite school online in the competitive educational marketplace. Australian Journal of Education , 57 (2), 174-184.

Erdener, M. A., & Knoeppel, R. C. (2018). Parents’ Perceptions of Their Involvement in Schooling. International Journal of Research in Education and Science , 4 (1), 1-13.

Felicia, O. (2021). A social semiotic analysis of gender power in Nigeria’s newspaper political cartoons. Social Semiotics , 31 (2), 266-281.

Gardner, C. D., Trepanowski, J. F., Del Gobbo, L. C., Hauser, M. E., Rigdon, J., Ioannidis, J. P., … & King, A. C. (2018). Effect of low-fat vs low-carbohydrate diet on 12-month weight loss in overweight adults and the association with genotype pattern or insulin secretion: the DIETFITS randomized clinical trial. Jama , 319 (7), 667-679.

Groves, M. M., & Zemel, P. C. (2000). Instructional technology adoption in higher education: An action research case study. International Journal of Instructional Media , 27 (1), 57.

Gullifer, J., & Tyson, G. A. (2010). Exploring university students’ perceptions of plagiarism: A focus group study. Studies in Higher Education , 35 (4), 463-481.

Karlsson, J., & Juslin, P. N. (2008). Musical expression: An observational study of instrumental teaching. Psychology of music , 36 (3), 309-334.

Liu, D., Huang, Y., Huang, C., Yang, S., Wei, X., Zhang, P., … & Zhang, H. (2022). Calorie restriction with or without time-restricted eating in weight loss. New England Journal of Medicine , 386 (16), 1495-1504.

Martin, F., & Bolliger, D. U. (2018). Engagement matters: Student perceptions on the importance of engagement strategies in the online learning environment. Online Learning , 22 (1), 205-222.

Munro, M. (2018). House price inflation in the news: a critical discourse analysis of newspaper coverage in the UK. Housing Studies , 33 (7), 1085-1105.

O’bannon, B. W., & Thomas, K. (2014). Teacher perceptions of using mobile phones in the classroom: Age matters!. Computers & Education , 74 , 15-25.

Olsen, M., Udo, C., Dahlberg, L., & Boström, A. M. (2022). Older Persons’ Views on Important Values in Swedish Home Care Service: A Semi-Structured Interview Study. Journal of Multidisciplinary Healthcare , 15 , 967.

Ravn, I. M., Frederiksen, K., & Beedholm, K. (2016). The chronic responsibility: a critical discourse analysis of Danish chronic care policies. Qualitative Health Research , 26 (4), 545-554.

Sacks, F. M., Bray, G. A., Carey, V. J., Smith, S. R., Ryan, D. H., Anton, S. D., … & Williamson, D. A. (2009). Comparison of weight-loss diets with different compositions of fat, protein, and carbohydrates. New England Journal of Medicine , 360 (9), 859-873.

Saltmarsh, S., Chapman, A., Campbell, M., & Drew, C. (2015). Putting “structure within the space”: Spatially un/responsive pedagogic practices in open-plan learning environments. Educational Review , 67 (3), 315-327.

Samaras, G., Bonoti, F., & Christidou, V. (2012). Exploring children’s perceptions of scientists through drawings and interviews. Procedia-Social and Behavioral Sciences , 46 , 1541-1546.

Sengul, K. (2019). Critical discourse analysis in political communication research: a case study of right-wing populist discourse in Australia. Communication Research and Practice , 5 (4), 376-392.

Smahel, D., Machackova, H., Mascheroni, G., Dedkova, L., Staksrud, E., Ólafsson, K., … & Hasebrink, U. (2020). EU Kids Online 2020: Survey results from 19 countries.

Stawarz, K., Preist, C., & Coyle, D. (2019). Use of smartphone apps, social media, and web-based resources to support mental health and well-being: online survey. JMIR mental health , 6 (7), e12546.Towns, M. H., Kreke, K., & Fields, A. (2000). An action research project: Student perspectives on small-group learning in chemistry. Journal of Chemical Education , 77 (1), 111.

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How to Write a Research Question: Types and Examples 

The first step in any research project is framing the research question. It can be considered the core of any systematic investigation as the research outcomes are tied to asking the right questions. Thus, this primary interrogation point sets the pace for your research as it helps collect relevant and insightful information that ultimately influences your work.   

Typically, the research question guides the stages of inquiry, analysis, and reporting. Depending on the use of quantifiable or quantitative data, research questions are broadly categorized into quantitative or qualitative research questions. Both types of research questions can be used independently or together, considering the overall focus and objectives of your research.  

What is a research question?

A research question is a clear, focused, concise, and arguable question on which your research and writing are centered. 1 It states various aspects of the study, including the population and variables to be studied and the problem the study addresses. These questions also set the boundaries of the study, ensuring cohesion. 

Designing the research question is a dynamic process where the researcher can change or refine the research question as they review related literature and develop a framework for the study. Depending on the scale of your research, the study can include single or multiple research questions. 

A good research question has the following features: 

• It is relevant to the chosen field of study. 
• The question posed is arguable and open for debate, requiring synthesizing and analysis of ideas. 
• It is focused and concisely framed. 
• A feasible solution is possible within the given practical constraint and timeframe. 

A poorly formulated research question poses several risks. 1   

• Researchers can adopt an erroneous design. 
• It can create confusion and hinder the thought process, including developing a clear protocol.  
• It can jeopardize publication efforts.  
• It causes difficulty in determining the relevance of the study findings.  
• It causes difficulty in whether the study fulfils the inclusion criteria for systematic review and meta-analysis. This creates challenges in determining whether additional studies or data collection is needed to answer the question.  
• Readers may fail to understand the objective of the study. This reduces the likelihood of the study being cited by others. 

Now that you know “What is a research question?”, let’s look at the different types of research questions. 

Types of research questions

Depending on the type of research to be done, research questions can be classified broadly into quantitative, qualitative, or mixed-methods studies. Knowing the type of research helps determine the best type of research question that reflects the direction and epistemological underpinnings of your research. 

The structure and wording of quantitative 2 and qualitative research 3 questions differ significantly. The quantitative study looks at causal relationships, whereas the qualitative study aims at exploring a phenomenon. 

• Quantitative research questions:  
• Seeks to investigate social, familial, or educational experiences or processes in a particular context and/or location.  
• Answers ‘how,’ ‘what,’ or ‘why’ questions. 
• Investigates connections, relations, or comparisons between independent and dependent variables. 

Quantitative research questions can be further categorized into descriptive, comparative, and relationship, as explained in the Table below. 

• Qualitative research questions  

Qualitative research questions are adaptable, non-directional, and more flexible. It concerns broad areas of research or more specific areas of study to discover, explain, or explore a phenomenon. These are further classified as follows: 

• Mixed-methods studies  

Mixed-methods studies use both quantitative and qualitative research questions to answer your research question. Mixed methods provide a complete picture than standalone quantitative or qualitative research, as it integrates the benefits of both methods. Mixed methods research is often used in multidisciplinary settings and complex situational or societal research, especially in the behavioral, health, and social science fields. 

What makes a good research question

A good research question should be clear and focused to guide your research. It should synthesize multiple sources to present your unique argument, and should ideally be something that you are interested in. But avoid questions that can be answered in a few factual statements. The following are the main attributes of a good research question. 

• Specific: The research question should not be a fishing expedition performed in the hopes that some new information will be found that will benefit the researcher. The central research question should work with your research problem to keep your work focused. If using multiple questions, they should all tie back to the central aim. 
• Measurable: The research question must be answerable using quantitative and/or qualitative data or from scholarly sources to develop your research question. If such data is impossible to access, it is better to rethink your question. 
• Attainable: Ensure you have enough time and resources to do all research required to answer your question. If it seems you will not be able to gain access to the data you need, consider narrowing down your question to be more specific. 
• You have the expertise 
• You have the equipment and resources 
• Realistic: Developing your research question should be based on initial reading about your topic. It should focus on addressing a problem or gap in the existing knowledge in your field or discipline. 
• Based on some sort of rational physics 
• Can be done in a reasonable time frame 
• Timely: The research question should contribute to an existing and current debate in your field or in society at large. It should produce knowledge that future researchers or practitioners can later build on. 
• Novel 
• Based on current technologies. 
• Important to answer current problems or concerns. 
• Lead to new directions. 
• Important: Your question should have some aspect of originality. Incremental research is as important as exploring disruptive technologies. For example, you can focus on a specific location or explore a new angle. 
• Meaningful whether the answer is “Yes” or “No.” Closed-ended, yes/no questions are too simple to work as good research questions. Such questions do not provide enough scope for robust investigation and discussion. A good research question requires original data, synthesis of multiple sources, and original interpretation and argumentation before providing an answer. 

Steps for developing a good research question

The importance of research questions cannot be understated. When drafting a research question, use the following frameworks to guide the components of your question to ease the process. 4  

• Determine the requirements: Before constructing a good research question, set your research requirements. What is the purpose? Is it descriptive, comparative, or explorative research? Determining the research aim will help you choose the most appropriate topic and word your question appropriately. 
• Select a broad research topic: Identify a broader subject area of interest that requires investigation. Techniques such as brainstorming or concept mapping can help identify relevant connections and themes within a broad research topic. For example, how to learn and help students learn. 
• Perform preliminary investigation: Preliminary research is needed to obtain up-to-date and relevant knowledge on your topic. It also helps identify issues currently being discussed from which information gaps can be identified. 
• Narrow your focus: Narrow the scope and focus of your research to a specific niche. This involves focusing on gaps in existing knowledge or recent literature or extending or complementing the findings of existing literature. Another approach involves constructing strong research questions that challenge your views or knowledge of the area of study (Example: Is learning consistent with the existing learning theory and research). 
• Identify the research problem: Once the research question has been framed, one should evaluate it. This is to realize the importance of the research questions and if there is a need for more revising (Example: How do your beliefs on learning theory and research impact your instructional practices). 

How to write a research question

Those struggling to understand how to write a research question, these simple steps can help you simplify the process of writing a research question. 

Sample Research Questions

The following are some bad and good research question examples 

• Example 1 

• Example 2 

References:  

• Thabane, L., Thomas, T., Ye, C., & Paul, J. (2009). Posing the research question: not so simple.  Canadian Journal of Anesthesia/Journal canadien d’anesthésie ,  56 (1), 71-79. 
• Rutberg, S., & Bouikidis, C. D. (2018). Focusing on the fundamentals: A simplistic differentiation between qualitative and quantitative research.  Nephrology Nursing Journal ,  45 (2), 209-213. 
• Kyngäs, H. (2020). Qualitative research and content analysis.  The application of content analysis in nursing science research , 3-11. 
• Mattick, K., Johnston, J., & de la Croix, A. (2018). How to… write a good research question.  The clinical teacher ,  15 (2), 104-108. 
• Fandino, W. (2019). Formulating a good research question: Pearls and pitfalls.  Indian Journal of Anaesthesia ,  63 (8), 611. 
• Richardson, W. S., Wilson, M. C., Nishikawa, J., & Hayward, R. S. (1995). The well-built clinical question: a key to evidence-based decisions.  ACP journal club ,  123 (3), A12-A13 

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• Writing Strong Research Questions | Criteria & Examples

Writing Strong Research Questions | Criteria & Examples

Published on October 26, 2022 by Shona McCombes . Revised on November 21, 2023.

A research question pinpoints exactly what you want to find out in your work. A good research question is essential to guide your research paper , dissertation , or thesis .

All research questions should be:

• Focused on a single problem or issue
• Researchable using primary and/or secondary sources
• Feasible to answer within the timeframe and practical constraints
• Specific enough to answer thoroughly
• Complex enough to develop the answer over the space of a paper or thesis
• Relevant to your field of study and/or society more broadly

Table of contents

How to write a research question, what makes a strong research question, using sub-questions to strengthen your main research question, research questions quiz, other interesting articles, frequently asked questions about research questions.

You can follow these steps to develop a strong research question:

• Choose your topic
• Do some preliminary reading about the current state of the field
• Narrow your focus to a specific niche
• Identify the research problem that you will address

The way you frame your question depends on what your research aims to achieve. The table below shows some examples of how you might formulate questions for different purposes.

Using your research problem to develop your research question

Note that while most research questions can be answered with various types of research , the way you frame your question should help determine your choices.

Prevent plagiarism. Run a free check.

Research questions anchor your whole project, so it’s important to spend some time refining them. The criteria below can help you evaluate the strength of your research question.

Focused and researchable

Feasible and specific

Complex and arguable

Relevant and original

Chances are that your main research question likely can’t be answered all at once. That’s why sub-questions are important: they allow you to answer your main question in a step-by-step manner.

Good sub-questions should be:

• Less complex than the main question
• Focused only on 1 type of research
• Presented in a logical order

Here are a few examples of descriptive and framing questions:

• Descriptive: According to current government arguments, how should a European bank tax be implemented?
• Descriptive: Which countries have a bank tax/levy on financial transactions?
• Framing: How should a bank tax/levy on financial transactions look at a European level?

Keep in mind that sub-questions are by no means mandatory. They should only be asked if you need the findings to answer your main question. If your main question is simple enough to stand on its own, it’s okay to skip the sub-question part. As a rule of thumb, the more complex your subject, the more sub-questions you’ll need.

Try to limit yourself to 4 or 5 sub-questions, maximum. If you feel you need more than this, it may be indication that your main research question is not sufficiently specific. In this case, it’s is better to revisit your problem statement and try to tighten your main question up.

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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

The way you present your research problem in your introduction varies depending on the nature of your research paper . A research paper that presents a sustained argument will usually encapsulate this argument in a thesis statement .

A research paper designed to present the results of empirical research tends to present a research question that it seeks to answer. It may also include a hypothesis —a prediction that will be confirmed or disproved by your research.

As you cannot possibly read every source related to your topic, it’s important to evaluate sources to assess their relevance. Use preliminary evaluation to determine whether a source is worth examining in more depth.

This involves:

• Reading abstracts , prefaces, introductions , and conclusions
• Looking at the table of contents to determine the scope of the work
• Consulting the index for key terms or the names of important scholars

A research hypothesis is your proposed answer to your research question. The research hypothesis usually includes an explanation (“ x affects y because …”).

A statistical hypothesis, on the other hand, is a mathematical statement about a population parameter. Statistical hypotheses always come in pairs: the null and alternative hypotheses . In a well-designed study , the statistical hypotheses correspond logically to the research hypothesis.

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

• Researchability
• Feasibility and specificity
• Relevance and originality

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How to Write the Research Questions – Tips & Examples

Published by Owen Ingram at August 13th, 2021 , Revised On October 3, 2023

Conducting research and writing an academic paper requires a clear direction and focus.

A good research question provides purpose to your research and clarifies the direction. It further helps your readers to understand what issue your research aims to explore and address.

If you are unsure about how to write research questions, here is a list of the attributes of a good research question;

• The research question should contain only a single problem
• You should be able to find the answer to it using  primary and secondary data sources
• You should be able to address it within the time limit and other constraints
• Can attain in-depth and detailed results
• Relevant and applicable
• Should relate to your chosen field of research

Whenever you want to discover something new about a  topic , you will ask a question about it. Therefore, the research question is important in the overall research process  and provides the author with the reading and writing guidelines.

In a research paper or an essay, you will need to create a single research question that highlights just one problem or issue. The thesis statement should include the specific problem you aim to investigate to establish your argument’s central position or claim.

A larger project such as a  dissertation or thesis , on the other hand, can have multiple research questions, but every question should focus on your main  research problem .  Different types of research will help you answer different research questions, but they should all be relevant to the research scope.

How to Write a Research Question

Steps to develop your research question.

• Choose a topic  with a wide range of published literature
• Read and skim relevant articles to find out different problems and issues
• Specify a theoretical or practical  research problem  that your research question will address
• Narrow down the focus of your selected core niche

Example Research Question (s)

Here are examples of research problems and research questions to help you understand how to create a research question for a given research problem.

Types of Research Questions

There are two main types of research;  quantitative and qualitative research . Both types of research require research questions. What research question you will answer is dependent on the type of research you wish to employ.

The first part of  designing research  is to find a gap and create a fully focused research question.

The following table shows common research questions for a dissertation project. However, it is important to note that these examples of dissertation research questions are straightforward, and the actual research questions may be more complicated than these examples.

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Steps to Write Research Questions

The research question provides you with a path and focuses on the real problem and the research gap you aim to fill. These are steps you need to take if you are unsure about how to write a research question:

Choose an Interesting Topic

Choose a topic  of research according to your interest. The selected topic should be neither too broad nor too narrow.

Do Preliminary Research on the Topic

Find articles, books, journals, and theses relevant to your chosen topic. Understand what research problem each scholar addressed as part of their research project.

Consider your Audience

It is necessary to know your audience to develop focused research questions for your essay or dissertation. You can find aspects of your topic that could be interesting to your audience when narrowing your topic.

Start Asking Questions

What, why, when, how, and other open-ended questions will provide in-depth knowledge about the topic.

Evaluate your Question

After formulating a research question, evaluate to check its effectiveness and how it can serve the purpose. Revise and refine the dissertation research question.

• Do you have a clear research question? 

It would help if you formed the research question after finding a research gap. This approach will enable the research to solve part of the problem.

• Do you have a focused research question?

It is necessary that the research question is specific and relating to the central aim of your research.

• Do you have a complex research question? 

The research question cannot be answered by yes or no but requires in-depth analysis. It often begins with “How” or “Why.”

Begin your Research

After you have prepared dissertation research questions, you should research the existing literature on similar topics to find various perspectives.

Also See: Formulation of Research Question

If you have been struggling to devise research questions for your dissertation or are unsure about which topic would be suitable for your needs, then you might be interested in taking advantage of our dissertation topic and outline service, which includes several topic ideas in your preferred area of study and a 500/1000 words plan on your chosen topic. Our topic and outline service will help you jump-start your dissertation project.

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Tips on How to Write a Strong Research Question

A research question is the foundation of the entire research. Therefore, you should spend as much time as required to refine the research question.

If you have good research questions for the dissertation, research paper , or essay, you can perform the research and analyse your results more effectively. You can evaluate the strength of the research question with the help of the following criteria. Your research question should be;

Intensive and Researchable

• It should cover a single issue
• The question shouldn’t include a subjective judgment
• It can be answerable with the data analysis or research=

Practical and Specific

• It should not include a course of action, policy, or solution
• It should be well-defined
• Answerable within research limits

Complicated and Arguable

• It should not be simple to answer
• Need in-depth knowledge to find facts
• Provides scope for debate and deliberation

Unique and Relevant

• It should lie in your field of study
• Its results should be contributable
• It should be unique

Conclusion – How to Write Research Questions

A research question provides a clear direction for research work. A bigger project, such as a dissertation, may have more than one research question, but every question should focus on one issue only.

Your research questions should be researchable, feasible to answer, specific to find results, complex (for Masters and PhD projects), and relevant to your field of study. Dissertation research questions depend upon the research type you are basing your paper on.

Start creating a research question by choosing an interesting topic, do some preliminary research, consider your audience, start asking questions, evaluating your question, and begin your research.

At ResearchProspect, we have dissertation experts for all academic subjects. Whether you need help with the individual chapters or the whole dissertation paper, you can be confident that your paper competed to the highest academic standard. There is a reason why our clients keep returning to us over and over. You can also look at our essay services if you are struggling to draft a first-class academic paper.

At ResearchProspect, we have dissertation experts for all academic subjects. Whether you need help with the  individual chapters  or the  whole dissertation paper,  you can be confident that your paper competed to the highest academic standard. There is a reason why our clients keep returning to us over and over.

You can also look at our  essay services  if you are struggling to draft a first-class academic paper.

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Frequently Asked Questions

How are research questions written.

Research questions are written by:

• Identifying your topic.
• Considering what you want to explore.
• Making questions clear and concise.
• Ensuring they’re researchable.
• Avoiding bias or leading language.
• Focusing on one main idea per question.

What are examples of research questions?

• Does regular exercise improve mental well-being in adults over 50?
• How do online courses impact student engagement compared to traditional classes?
• What are the economic effects of prolonged pandemic lockdowns?
• How does early childhood nutrition influence academic performance in later life?
• Does urban green space reduce stress levels?

How to write a research question?

• Identify a specific topic or issue of interest.
• Conduct preliminary research to understand existing knowledge.
• Narrow the focus to address gaps or unresolved issues.
• Phrase the question to be clear, concise, and researchable.
• Ensure it is specific enough for systematic investigation.

How to formulate my research questions for my geography dissertation?

• Identify a geographical topic or phenomenon of interest.
• Review existing literature to find gaps.
• Consider spatial, temporal, environmental, or societal aspects.
• Ensure questions are specific, feasible, and significant.
• Frame questions to guide methodology: quantitative, qualitative, or mixed.
• Seek feedback from peers/advisors.

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Repository of ten perfect research question examples will provide you a better perspective about how to create research questions.

To help students organise their dissertation proposal paper correctly, we have put together detailed guidelines on how to structure a dissertation proposal.

Here we explore what is research problem in dissertation with research problem examples to help you understand how and when to write a research problem.

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Research Aims, Objectives & Questions

The “Golden Thread” Explained Simply (+ Examples)

By: David Phair (PhD) and Alexandra Shaeffer (PhD) | June 2022

The research aims , objectives and research questions (collectively called the “golden thread”) are arguably the most important thing you need to get right when you’re crafting a research proposal , dissertation or thesis . We receive questions almost every day about this “holy trinity” of research and there’s certainly a lot of confusion out there, so we’ve crafted this post to help you navigate your way through the fog.

Overview: The Golden Thread

• What is the golden thread
• What are research aims ( examples )
• What are research objectives ( examples )
• What are research questions ( examples )
• The importance of alignment in the golden thread

What is the “golden thread”?  

The golden thread simply refers to the collective research aims , research objectives , and research questions for any given project (i.e., a dissertation, thesis, or research paper ). These three elements are bundled together because it’s extremely important that they align with each other, and that the entire research project aligns with them.

Importantly, the golden thread needs to weave its way through the entirety of any research project , from start to end. In other words, it needs to be very clearly defined right at the beginning of the project (the topic ideation and proposal stage) and it needs to inform almost every decision throughout the rest of the project. For example, your research design and methodology will be heavily influenced by the golden thread (we’ll explain this in more detail later), as well as your literature review.

The research aims, objectives and research questions (the golden thread) define the focus and scope ( the delimitations ) of your research project. In other words, they help ringfence your dissertation or thesis to a relatively narrow domain, so that you can “go deep” and really dig into a specific problem or opportunity. They also help keep you on track , as they act as a litmus test for relevance. In other words, if you’re ever unsure whether to include something in your document, simply ask yourself the question, “does this contribute toward my research aims, objectives or questions?”. If it doesn’t, chances are you can drop it.

Alright, enough of the fluffy, conceptual stuff. Let’s get down to business and look at what exactly the research aims, objectives and questions are and outline a few examples to bring these concepts to life.

Research Aims: What are they?

Simply put, the research aim(s) is a statement that reflects the broad overarching goal (s) of the research project. Research aims are fairly high-level (low resolution) as they outline the general direction of the research and what it’s trying to achieve .

Research Aims: Examples  

True to the name, research aims usually start with the wording “this research aims to…”, “this research seeks to…”, and so on. For example:

“This research aims to explore employee experiences of digital transformation in retail HR.”   “This study sets out to assess the interaction between student support and self-care on well-being in engineering graduate students”  

As you can see, these research aims provide a high-level description of what the study is about and what it seeks to achieve. They’re not hyper-specific or action-oriented, but they’re clear about what the study’s focus is and what is being investigated.

Need a helping hand?

Research Objectives: What are they?

The research objectives take the research aims and make them more practical and actionable . In other words, the research objectives showcase the steps that the researcher will take to achieve the research aims.

The research objectives need to be far more specific (higher resolution) and actionable than the research aims. In fact, it’s always a good idea to craft your research objectives using the “SMART” criteria. In other words, they should be specific, measurable, achievable, relevant and time-bound”.

Research Objectives: Examples  

Let’s look at two examples of research objectives. We’ll stick with the topic and research aims we mentioned previously.  

For the digital transformation topic:

To observe the retail HR employees throughout the digital transformation. To assess employee perceptions of digital transformation in retail HR. To identify the barriers and facilitators of digital transformation in retail HR.

And for the student wellness topic:

To determine whether student self-care predicts the well-being score of engineering graduate students. To determine whether student support predicts the well-being score of engineering students. To assess the interaction between student self-care and student support when predicting well-being in engineering graduate students.

  As you can see, these research objectives clearly align with the previously mentioned research aims and effectively translate the low-resolution aims into (comparatively) higher-resolution objectives and action points . They give the research project a clear focus and present something that resembles a research-based “to-do” list.

Research Questions: What are they?

Finally, we arrive at the all-important research questions. The research questions are, as the name suggests, the key questions that your study will seek to answer . Simply put, they are the core purpose of your dissertation, thesis, or research project. You’ll present them at the beginning of your document (either in the introduction chapter or literature review chapter) and you’ll answer them at the end of your document (typically in the discussion and conclusion chapters).  

The research questions will be the driving force throughout the research process. For example, in the literature review chapter, you’ll assess the relevance of any given resource based on whether it helps you move towards answering your research questions. Similarly, your methodology and research design will be heavily influenced by the nature of your research questions. For instance, research questions that are exploratory in nature will usually make use of a qualitative approach, whereas questions that relate to measurement or relationship testing will make use of a quantitative approach.  

Let’s look at some examples of research questions to make this more tangible.

Research Questions: Examples  

Again, we’ll stick with the research aims and research objectives we mentioned previously.  

For the digital transformation topic (which would be qualitative in nature):

How do employees perceive digital transformation in retail HR? What are the barriers and facilitators of digital transformation in retail HR?  

And for the student wellness topic (which would be quantitative in nature):

Does student self-care predict the well-being scores of engineering graduate students? Does student support predict the well-being scores of engineering students? Do student self-care and student support interact when predicting well-being in engineering graduate students?  

You’ll probably notice that there’s quite a formulaic approach to this. In other words, the research questions are basically the research objectives “converted” into question format. While that is true most of the time, it’s not always the case. For example, the first research objective for the digital transformation topic was more or less a step on the path toward the other objectives, and as such, it didn’t warrant its own research question.  

So, don’t rush your research questions and sloppily reword your objectives as questions. Carefully think about what exactly you’re trying to achieve (i.e. your research aim) and the objectives you’ve set out, then craft a set of well-aligned research questions . Also, keep in mind that this can be a somewhat iterative process , where you go back and tweak research objectives and aims to ensure tight alignment throughout the golden thread.

The importance of strong alignment 

Alignment is the keyword here and we have to stress its importance . Simply put, you need to make sure that there is a very tight alignment between all three pieces of the golden thread. If your research aims and research questions don’t align, for example, your project will be pulling in different directions and will lack focus . This is a common problem students face and can cause many headaches (and tears), so be warned.

Take the time to carefully craft your research aims, objectives and research questions before you run off down the research path. Ideally, get your research supervisor/advisor to review and comment on your golden thread before you invest significant time into your project, and certainly before you start collecting data .  

Recap: The golden thread

In this post, we unpacked the golden thread of research, consisting of the research aims , research objectives and research questions . You can jump back to any section using the links below.

As always, feel free to leave a comment below – we always love to hear from you. Also, if you’re interested in 1-on-1 support, take a look at our private coaching service here.

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

41 Comments

Thank you very much for your great effort put. As an Undergraduate taking Demographic Research & Methodology, I’ve been trying so hard to understand clearly what is a Research Question, Research Aim and the Objectives in a research and the relationship between them etc. But as for now I’m thankful that you’ve solved my problem.

Well appreciated. This has helped me greatly in doing my dissertation.

An so delighted with this wonderful information thank you a lot.

so impressive i have benefited a lot looking forward to learn more on research.

I am very happy to have carefully gone through this well researched article.

Infact,I used to be phobia about anything research, because of my poor understanding of the concepts.

Now,I get to know that my research question is the same as my research objective(s) rephrased in question format.

I please I would need a follow up on the subject,as I intends to join the team of researchers. Thanks once again.

Thanks so much. This was really helpful.

I know you pepole have tried to break things into more understandable and easy format. And God bless you. Keep it up

i found this document so useful towards my study in research methods. thanks so much.

This is my 2nd read topic in your course and I should commend the simplified explanations of each part. I’m beginning to understand and absorb the use of each part of a dissertation/thesis. I’ll keep on reading your free course and might be able to avail the training course! Kudos!

Thank you! Better put that my lecture and helped to easily understand the basics which I feel often get brushed over when beginning dissertation work.

This is quite helpful. I like how the Golden thread has been explained and the needed alignment.

This is quite helpful. I really appreciate!

The article made it simple for researcher students to differentiate between three concepts.

Very innovative and educational in approach to conducting research.

I am very impressed with all these terminology, as I am a fresh student for post graduate, I am highly guided and I promised to continue making consultation when the need arise. Thanks a lot.

A very helpful piece. thanks, I really appreciate it .

Very well explained, and it might be helpful to many people like me.

Wish i had found this (and other) resource(s) at the beginning of my PhD journey… not in my writing up year… 😩 Anyways… just a quick question as i’m having some issues ordering my “golden thread”…. does it matter in what order you mention them? i.e., is it always first aims, then objectives, and finally the questions? or can you first mention the research questions and then the aims and objectives?

Thank you for a very simple explanation that builds upon the concepts in a very logical manner. Just prior to this, I read the research hypothesis article, which was equally very good. This met my primary objective.

My secondary objective was to understand the difference between research questions and research hypothesis, and in which context to use which one. However, I am still not clear on this. Can you kindly please guide?

In research, a research question is a clear and specific inquiry that the researcher wants to answer, while a research hypothesis is a tentative statement or prediction about the relationship between variables or the expected outcome of the study. Research questions are broader and guide the overall study, while hypotheses are specific and testable statements used in quantitative research. Research questions identify the problem, while hypotheses provide a focus for testing in the study.

Exactly what I need in this research journey, I look forward to more of your coaching videos.

This helped a lot. Thanks so much for the effort put into explaining it.

What data source in writing dissertation/Thesis requires?

What is data source covers when writing dessertation/thesis

This is quite useful thanks

I’m excited and thankful. I got so much value which will help me progress in my thesis.

where are the locations of the reserch statement, research objective and research question in a reserach paper? Can you write an ouline that defines their places in the researh paper?

Very helpful and important tips on Aims, Objectives and Questions.

Thank you so much for making research aim, research objectives and research question so clear. This will be helpful to me as i continue with my thesis.

Thanks much for this content. I learned a lot. And I am inspired to learn more. I am still struggling with my preparation for dissertation outline/proposal. But I consistently follow contents and tutorials and the new FB of GRAD Coach. Hope to really become confident in writing my dissertation and successfully defend it.

As a researcher and lecturer, I find splitting research goals into research aims, objectives, and questions is unnecessarily bureaucratic and confusing for students. For most biomedical research projects, including ‘real research’, 1-3 research questions will suffice (numbers may differ by discipline).

Awesome! Very important resources and presented in an informative way to easily understand the golden thread. Indeed, thank you so much.

Well explained

The blog article on research aims, objectives, and questions by Grad Coach is a clear and insightful guide that aligns with my experiences in academic research. The article effectively breaks down the often complex concepts of research aims and objectives, providing a straightforward and accessible explanation. Drawing from my own research endeavors, I appreciate the practical tips offered, such as the need for specificity and clarity when formulating research questions. The article serves as a valuable resource for students and researchers, offering a concise roadmap for crafting well-defined research goals and objectives. Whether you’re a novice or an experienced researcher, this article provides practical insights that contribute to the foundational aspects of a successful research endeavor.

A great thanks for you. it is really amazing explanation. I grasp a lot and one step up to research knowledge.

I really found these tips helpful. Thank you very much Grad Coach.

I found this article helpful. Thanks for sharing this.

thank you so much, the explanation and examples are really helpful

This is a well researched and superbly written article for learners of research methods at all levels in the research topic from conceptualization to research findings and conclusions. I highly recommend this material to university graduate students. As an instructor of advanced research methods for PhD students, I have confirmed that I was giving the right guidelines for the degree they are undertaking.

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Home » Research Questions – Types, Examples and Writing Guide

Research Questions – Types, Examples and Writing Guide

Table of Contents

Research Questions

Definition:

Research questions are the specific questions that guide a research study or inquiry. These questions help to define the scope of the research and provide a clear focus for the study. Research questions are usually developed at the beginning of a research project and are designed to address a particular research problem or objective.

Types of Research Questions

Types of Research Questions are as follows:

Descriptive Research Questions

These aim to describe a particular phenomenon, group, or situation. For example:

• What are the characteristics of the target population?
• What is the prevalence of a particular disease in a specific region?

Exploratory Research Questions

These aim to explore a new area of research or generate new ideas or hypotheses. For example:

• What are the potential causes of a particular phenomenon?
• What are the possible outcomes of a specific intervention?

Explanatory Research Questions

These aim to understand the relationship between two or more variables or to explain why a particular phenomenon occurs. For example:

• What is the effect of a specific drug on the symptoms of a particular disease?
• What are the factors that contribute to employee turnover in a particular industry?

Predictive Research Questions

These aim to predict a future outcome or trend based on existing data or trends. For example :

• What will be the future demand for a particular product or service?
• What will be the future prevalence of a particular disease?

Evaluative Research Questions

These aim to evaluate the effectiveness of a particular intervention or program. For example:

• What is the impact of a specific educational program on student learning outcomes?
• What is the effectiveness of a particular policy or program in achieving its intended goals?

How to Choose Research Questions

Choosing research questions is an essential part of the research process and involves careful consideration of the research problem, objectives, and design. Here are some steps to consider when choosing research questions:

• Identify the research problem: Start by identifying the problem or issue that you want to study. This could be a gap in the literature, a social or economic issue, or a practical problem that needs to be addressed.
• Conduct a literature review: Conducting a literature review can help you identify existing research in your area of interest and can help you formulate research questions that address gaps or limitations in the existing literature.
• Define the research objectives : Clearly define the objectives of your research. What do you want to achieve with your study? What specific questions do you want to answer?
• Consider the research design : Consider the research design that you plan to use. This will help you determine the appropriate types of research questions to ask. For example, if you plan to use a qualitative approach, you may want to focus on exploratory or descriptive research questions.
• Ensure that the research questions are clear and answerable: Your research questions should be clear and specific, and should be answerable with the data that you plan to collect. Avoid asking questions that are too broad or vague.
• Get feedback : Get feedback from your supervisor, colleagues, or peers to ensure that your research questions are relevant, feasible, and meaningful.

How to Write Research Questions

Guide for Writing Research Questions:

• Start with a clear statement of the research problem: Begin by stating the problem or issue that your research aims to address. This will help you to formulate focused research questions.
• Use clear language : Write your research questions in clear and concise language that is easy to understand. Avoid using jargon or technical terms that may be unfamiliar to your readers.
• Be specific: Your research questions should be specific and focused. Avoid broad questions that are difficult to answer. For example, instead of asking “What is the impact of climate change on the environment?” ask “What are the effects of rising sea levels on coastal ecosystems?”
• Use appropriate question types: Choose the appropriate question types based on the research design and objectives. For example, if you are conducting a qualitative study, you may want to use open-ended questions that allow participants to provide detailed responses.
• Consider the feasibility of your questions : Ensure that your research questions are feasible and can be answered with the resources available. Consider the data sources and methods of data collection when writing your questions.
• Seek feedback: Get feedback from your supervisor, colleagues, or peers to ensure that your research questions are relevant, appropriate, and meaningful.

Examples of Research Questions

Some Examples of Research Questions with Research Titles:

Research Title: The Impact of Social Media on Mental Health

• Research Question : What is the relationship between social media use and mental health, and how does this impact individuals’ well-being?

Research Title: Factors Influencing Academic Success in High School

• Research Question: What are the primary factors that influence academic success in high school, and how do they contribute to student achievement?

Research Title: The Effects of Exercise on Physical and Mental Health

• Research Question: What is the relationship between exercise and physical and mental health, and how can exercise be used as a tool to improve overall well-being?

Research Title: Understanding the Factors that Influence Consumer Purchasing Decisions

• Research Question : What are the key factors that influence consumer purchasing decisions, and how do these factors vary across different demographics and products?

Research Title: The Impact of Technology on Communication

• Research Question : How has technology impacted communication patterns, and what are the effects of these changes on interpersonal relationships and society as a whole?

Research Title: Investigating the Relationship between Parenting Styles and Child Development

• Research Question: What is the relationship between different parenting styles and child development outcomes, and how do these outcomes vary across different ages and developmental stages?

Research Title: The Effectiveness of Cognitive-Behavioral Therapy in Treating Anxiety Disorders

• Research Question: How effective is cognitive-behavioral therapy in treating anxiety disorders, and what factors contribute to its success or failure in different patients?

Research Title: The Impact of Climate Change on Biodiversity

• Research Question : How is climate change affecting global biodiversity, and what can be done to mitigate the negative effects on natural ecosystems?

Research Title: Exploring the Relationship between Cultural Diversity and Workplace Productivity

• Research Question : How does cultural diversity impact workplace productivity, and what strategies can be employed to maximize the benefits of a diverse workforce?

Research Title: The Role of Artificial Intelligence in Healthcare

• Research Question: How can artificial intelligence be leveraged to improve healthcare outcomes, and what are the potential risks and ethical concerns associated with its use?

Applications of Research Questions

Here are some of the key applications of research questions:

• Defining the scope of the study : Research questions help researchers to narrow down the scope of their study and identify the specific issues they want to investigate.
• Developing hypotheses: Research questions often lead to the development of hypotheses, which are testable predictions about the relationship between variables. Hypotheses provide a clear and focused direction for the study.
• Designing the study : Research questions guide the design of the study, including the selection of participants, the collection of data, and the analysis of results.
• Collecting data : Research questions inform the selection of appropriate methods for collecting data, such as surveys, interviews, or experiments.
• Analyzing data : Research questions guide the analysis of data, including the selection of appropriate statistical tests and the interpretation of results.
• Communicating results : Research questions help researchers to communicate the results of their study in a clear and concise manner. The research questions provide a framework for discussing the findings and drawing conclusions.

Characteristics of Research Questions

Characteristics of Research Questions are as follows:

• Clear and Specific : A good research question should be clear and specific. It should clearly state what the research is trying to investigate and what kind of data is required.
• Relevant : The research question should be relevant to the study and should address a current issue or problem in the field of research.
• Testable : The research question should be testable through empirical evidence. It should be possible to collect data to answer the research question.
• Concise : The research question should be concise and focused. It should not be too broad or too narrow.
• Feasible : The research question should be feasible to answer within the constraints of the research design, time frame, and available resources.
• Original : The research question should be original and should contribute to the existing knowledge in the field of research.
• Significant : The research question should have significance and importance to the field of research. It should have the potential to provide new insights and knowledge to the field.
• Ethical : The research question should be ethical and should not cause harm to any individuals or groups involved in the study.

Purpose of Research Questions

Research questions are the foundation of any research study as they guide the research process and provide a clear direction to the researcher. The purpose of research questions is to identify the scope and boundaries of the study, and to establish the goals and objectives of the research.

The main purpose of research questions is to help the researcher to focus on the specific area or problem that needs to be investigated. They enable the researcher to develop a research design, select the appropriate methods and tools for data collection and analysis, and to organize the results in a meaningful way.

Research questions also help to establish the relevance and significance of the study. They define the research problem, and determine the research methodology that will be used to address the problem. Research questions also help to determine the type of data that will be collected, and how it will be analyzed and interpreted.

Finally, research questions provide a framework for evaluating the results of the research. They help to establish the validity and reliability of the data, and provide a basis for drawing conclusions and making recommendations based on the findings of the study.

Advantages of Research Questions

There are several advantages of research questions in the research process, including:

• Focus : Research questions help to focus the research by providing a clear direction for the study. They define the specific area of investigation and provide a framework for the research design.
• Clarity : Research questions help to clarify the purpose and objectives of the study, which can make it easier for the researcher to communicate the research aims to others.
• Relevance : Research questions help to ensure that the study is relevant and meaningful. By asking relevant and important questions, the researcher can ensure that the study will contribute to the existing body of knowledge and address important issues.
• Consistency : Research questions help to ensure consistency in the research process by providing a framework for the development of the research design, data collection, and analysis.
• Measurability : Research questions help to ensure that the study is measurable by defining the specific variables and outcomes that will be measured.
• Replication : Research questions help to ensure that the study can be replicated by providing a clear and detailed description of the research aims, methods, and outcomes. This makes it easier for other researchers to replicate the study and verify the results.

Limitations of Research Questions

Limitations of Research Questions are as follows:

• Subjectivity : Research questions are often subjective and can be influenced by personal biases and perspectives of the researcher. This can lead to a limited understanding of the research problem and may affect the validity and reliability of the study.
• Inadequate scope : Research questions that are too narrow in scope may limit the breadth of the study, while questions that are too broad may make it difficult to focus on specific research objectives.
• Unanswerable questions : Some research questions may not be answerable due to the lack of available data or limitations in research methods. In such cases, the research question may need to be rephrased or modified to make it more answerable.
• Lack of clarity : Research questions that are poorly worded or ambiguous can lead to confusion and misinterpretation. This can result in incomplete or inaccurate data, which may compromise the validity of the study.
• Difficulty in measuring variables : Some research questions may involve variables that are difficult to measure or quantify, making it challenging to draw meaningful conclusions from the data.
• Lack of generalizability: Research questions that are too specific or limited in scope may not be generalizable to other contexts or populations. This can limit the applicability of the study’s findings and restrict its broader implications.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Introduction to Primary Research: Observations, Surveys, and Interviews

Primary Research: Definitions and Overview

   How research is defined varies widely from field to field, and as you progress through your college career, your coursework will teach you much more about what it means to be a researcher within your field.* For example, engineers, who focus on applying scientific knowledge to develop designs, processes, and objects, conduct research using simulations, mathematical models, and a variety of tests to see how well their designs work. Sociologists conduct research using surveys, interviews, observations, and statistical analysis to better understand people, societies, and cultures. Graphic designers conduct research through locating images for reference for their artwork and engaging in background research on clients and companies to best serve their needs. Historians conduct research by examining archival materials—newspapers, journals, letters, and other surviving texts—and through conducting oral history interviews. Research is not limited to what has already been written or found at the library, also known as secondary research. Rather, individuals conducting research are producing the articles and reports found in a library database or in a book. Primary research, the focus of this essay, is research that is collected firsthand rather than found in a book, database, or journal.

   Primary research is often based on principles of the scientific method, a theory of investigation first developed by John Stuart Mill in the nineteenth century in his book Philosophy of the Scientific Method .  Although the application of the scientific method varies from field to field, the general principles of the scientific method allow researchers to learn more about the world and observable phenomena. Using the scientific method, researchers develop research questions or hypotheses and collect data on events, objects, or people that is measurable, observable, and replicable. The ultimate goal in conducting primary research is to learn about something new that can be confirmed by others and to eliminate our own biases in the process.

Essay Overview and Student Examples

     The essay begins by providing an overview of ethical considerations when conducting primary research, and then covers the stages that you will go through in your primary research: planning, collecting, analyzing, and writing. After the four stages comes an introduction to three common ways of conducting primary research in first year writing classes:

Observations . Observing and measuring the world around you, including observations of people and other measurable events.

Interviews . Asking participants questions in a one-on-one or small group setting.

Surveys . Asking participants about their opinions and behaviors through a short questionnaire.

In addition, we will be examining two student projects that used substantial portions of primary research:

    Derek Laan, a nutrition major at Purdue University, wanted to learn more about student eating habits on campus. His primary re-search included observations of the campus food courts, student behavior while in the food courts, and a survey of students’ daily food intake. His secondary research included looking at national student eating trends on college campuses, information from the United States Food and Drug Administration, and books on healthy eating.

    Jared Schwab, an agricultural and biological engineering major at Purdue, was interested in learning more about how writing and communication took place in his field. His primary research included interviewing a professional engineer and a student who was a senior majoring in engineering. His secondary research included examining journals, books, professional organizations, and writing guides within the field of engineering.

Ethics of Primary Research

   Both projects listed above included primary research on human participants; therefore, Derek and Jared both had to consider research ethics throughout their primary research process. As Earl Babbie writes in The Practice of Social Research , throughout the early and middle parts of the twentieth century researchers took advantage of participants and treated them unethically. During World War II, Nazi doctors performed heinous experiments on prisoners without their consent, while in the U.S., a number of medical and psychological experiments on caused patients undue mental and physical trauma and, in some cases, death. Because of these and other similar events, many nations have established ethical laws and guidelines for researchers who work with human participants. In the United States, the guidelines for the ethical treatment of human research participants are described in The Belmont Report , released in 1979. Today, universities have Institutional Review Boards (or IRBs) that oversee research. Students conducting research as part of a class may not need permission from the university’s IRB, although they still need to ensure that they follow ethical guidelines in research. The following provides a brief overview of ethical considerations:

• Voluntary participation . The Belmont Report suggests that, in most cases, you need to get permission from people before you involve them in any primary research you are conducting. If you are doing a survey or interview, your participants must first agree to fill out your survey or to be interviewed. Consent for observations can be more complicated, and is dis-cussed later in the essay.

Confidentiality and anonymity . Your participants may reveal embarrassing or potentially damaging information such as racist comments or unconventional behavior. In these cases, you should keep your participants’ identities anonymous when writing your results. An easy way to do this is to create a “pseudonym” (or false name) for them so that their identity is protected.

Researcher bias . There is little point in collecting data and learning about something if you already think you know the answer! Bias might be present in the way you ask questions, the way you take notes, or the conclusions you draw from the data you collect.

   The above are only three of many considerations when involving human participants in your primary research. For a complete under-standing of ethical considerations please refer to The Belmont Report .

   Now that we have considered the ethical implications of research, we will examine how to formulate research questions and plan your primary research project.

Planning Your Primary Research Project

   The primary research process is quite similar to the writing process, and you can draw upon your knowledge of the writing process to understand the steps involved in a primary research project. Just like in the writing process, a successful primary research project begins with careful planning and background research. This section first describes how to create a research timeline to help plan your research. It then walks you through the planning stages by examining when primary research is useful or appropriate for your first year composition course, narrowing down a topic, and developing research questions.

The Research Timeline

   When you begin to conduct any kind of primary research, creating a timeline will help keep you on task. Because students conducting primary research usually focus on the collection of data itself, they often overlook the equally important areas of planning (invention), analyzing data, and writing. To help manage your time, you should create a research timeline, such as the sample timeline presented here.

When Primary Research Is Useful or Appropriate

   In Evaluating Scientific Research: Separating Fact from Fiction , Fred Leavitt explains that primary research is useful for questions that can be answered through asking others and direct observation. For first year writing courses, primary research is particularly useful when you want to learn about a problem that does not have a wealth of published information. This may be because the problem is a recent event or it is something not commonly studied. For example, if you are writing a paper on a new political issue, such as changes in tax laws or healthcare, you might not be able to find a wealth of peer-reviewed research because the issue is only several weeks old. You may find it necessary to collect some of your own data on the issue to supplement what you found at the library. Primary research is also useful when you are studying a local problem or learning how a larger issue plays out at the local level. Although you might be able to find information on national statistics for healthy eating, whether or not those statistics are representative of your college campus is something that you can learn through primary research.

   However, not all research questions and topics are appropriate for primary research. As Fred Leavitt writes, questions of an ethical, philosophical, or metaphysical nature are not appropriate because these questions are not testable or observable. For example, the question “Does an afterlife exist?” is not a question that can be answered with primary research. However, the question “How many people in my community believe in an afterlife?” is something that primary research can answer.

Narrowing Your Topic

   Just like the writing process, you should start your primary research process with secondary (library) research to learn more about what is already known and what gaps you need to fill with your own data. As you learn more about the topic, you can narrow down your interest area and eventually develop a research question or hypothesis, just as you would with a secondary research paper.

Developing Research Questions or Hypotheses

   As John Stuart Mill describes, primary research can use both inductive and deductive approaches, and the type approach is usually based on the field of inquiry. Some fields use deductive reasoning , where researchers start with a hypothesis or general conclusion and then collect specific data to support or refute their hypothesis. Other fields use inductive reasoning , where researchers start with a question and collect information that eventually leads to a conclusion.

   Once you have spent some time reviewing the secondary research on your topic, you are ready to write a primary research question or hypothesis. A research question or hypothesis should be something that is specific, narrow, and discoverable through primary research methods. Just like a thesis statement for a paper, if your research question or hypothesis is too broad, your research will be unfocused and your data will be difficult to analyze and write about. Here is a set of sample research questions:

Poor Research Question : What do college students think of politics and the economy?

Revised Research Question : What do students at Purdue University believe about the current economic crisis in terms of economic recoverability?

   The poor research question is unspecific as to what group of students the researcher is interested in—i.e. students in the U.S.? In a particular state? At their university? The poor research question was also too broad; terms like “politics” and the “economy” cover too much ground for a single project. The revised question narrows down the topic to students at a particular university and focuses on a specific issue related to the economy: economic recoverability. The research question could also be rephrased as a testable hypothesis using deductive reasoning: “Purdue University college students are well informed about economic recoverability plans.” Because they were approaching their projects in an exploratory, inductive manner, both Derek and Jared chose to ask research questions:

Derek: Are students’ eating habits at Purdue University healthy or unhealthy? What are the causes of students’ eating behavior?

Jared: What are the major features of writing and communication in agricultural and biological engineering? What are the major controversies? 

   A final step in working with a research question or hypothesis is determining what key terms you are using and how you will define them. Before conducting his research, Derek had to define the terms “healthy” and “unhealthy”; for this, he used the USDA’s Food Pyramid as a guide. Similarly, part of what Jared focused on in his interviews was learning more about how agricultural and biological engineers defined terms like “writing” and “communication.” Derek and Jared thought carefully about the terms within their research questions and how these terms might be measured. 

Choosing a Data Collection Method 

    Once you have formulated a research question or hypothesis, you will need to make decisions about what kind of data you can collect that will best address your research topic. Derek chose to examine eating habits by observing both what students ate at lunch and surveying students about eating behavior. Jared decided that in-depth interviews with experienced individuals in his field would provide him with the best information.

   To choose a data collection method for your research question, read through the next sections on observations, interviews, and surveys.

Observations

   Observations have lead to some of the most important scientific discoveries in human history. Charles Darwin used observations of the animal and marine life at the Galapagos Islands to help him formulate his theory of evolution that he describes in On the Origin of Species . Today, social scientists, natural scientists, engineers, computer scientists, educational researchers, and many others use observations as a primary research method.

   Observations can be conducted on nearly any subject matter, and the kinds of observations you will do depend on your research question. You might observe traffic or parking patterns on campus to get a sense of what improvements could be made. You might observe clouds, plants, or other natural phenomena. If you choose to observe people, you will have several additional considerations including the manner in which you will observe them and gain their consent.

   If you are observing people, you can choose between two common ways to observe: participant observation and unobtrusive observation. Participant observation is a common method within ethnographic research in sociology and anthropology. In this kind of observation, a researcher may interact with participants and become part of their community. Margaret Mead, a famous anthropologist, spent extended periods of time living in, and interacting with, communities that she studied. Conversely, in unobtrusive observation, you do not interact with participants but rather simply record their behavior. Although in most circumstances people must volunteer to be participants in research, in some cases it is acceptable to not let participants know you are observing them. In places that people perceive as public, such as a campus food court or a shopping mall, people do not expect privacy, and so it is generally acceptable to observe without participant consent. In places that people perceive as private, which can include a church, home, classroom, or even an intimate conversation at a restaurant, participant consent should be sought. 

   The second issue about participant consent in terms of unobtrusive observation is whether or not getting consent is feasible for the study. If you are observing people in a busy airport, bus station, or campus food court, getting participant consent may be next to impossible. In Derek’s study of student eating habits on campus, he went to the campus food courts during meal times and observed students purchasing food. Obtaining participant consent for his observations would have been next to impossible because hundreds of students were coming through the food court during meal times. Since Derek’s research was in a place that participants would perceive as public, it was not practical to get their consent, and since his data was anonymous, he did not violate their privacy.

Eliminating Bias in Your Observation Notes

The ethical concern of being unbiased is important in recording your observations. You need to be aware of the difference between an observation (recording exactly what you see) and an interpretation (making assumptions and judgments about what you see). When you observe, you should focus first on only the events that are directly observable. Consider the following two example entries in an observation log:

• The student sitting in the dining hall enjoys his greasy, oil-soaked pizza. He is clearly oblivious of the calorie content and damage it may do to his body.
• The student sits in the dining hall. As he eats his piece of pizza, which drips oil, he says to a friend, “This pizza is good.”

The first entry is biased and demonstrates judgment about the event. First, the observer makes assumptions about the internal state of the student when she writes “enjoys” and “clearly oblivious to the calorie content.” From an observer’s standpoint, there is no way of ascertaining what the student may or may not know about pizza’s nutritional value nor how much the student enjoys the pizza. The second entry provides only the details and facts that are observable.

   To avoid bias in your observations, you can use something called a “double-entry notebook.” This is a type of observation log that encourages you to separate your observations (the facts) from your feelings and judgments about the facts.

• Observations Thoughts
• The student sits in the dining hall. As he eats his piece of pizza, which drips oil, he says to a friend, "this pizza is good."  It seems like the student really enjoys the high-calorie-content pizza. 
• I observed cash register #1 for 15 minutes. During that time, 22 students paid for meals. Of those 22 students, 15 grabbed a candy bar or granola bar. 3 of the 22 students had a piece of fruit on their plate Fruit is less accessible than candy bars (it is further back in the dining court). Is this why more students are reaching for candy bars?

Figure 3: Two sample entries from a double-entry notebook.

   Observations are only one strategy in collecting primary research. You may also want to ask people directly about their behaviors, beliefs, or attitudes—and for this you will need to use surveys or interviews.

Surveys and Interviews: Question Creation

Sometimes it is very difficult for a researcher to gain all of the necessary information through observations alone. Along with his observations of the dining halls, Derek wanted to know what students ate in a typical day, and so he used a survey to have them keep track of their eating habits. Likewise, Jared wanted to learn about writing and communication in engineering and decided to draw upon expert knowledge by asking experienced individuals within the field.

   Interviews and surveys are two ways that you can gather information about people’s beliefs or behaviors. With these methods, the information you collect is not first-hand (like an observation) but rather “self-reported” data, or data collected in an indirect manner. William Shadish, Thomas Cook, and Donald Campbell argued that people are inherently biased about how they see the world and may report their own actions in a more favorable way than they may actually behave. Despite the issues in self-reported data, surveys and interviews are an excellent way to gather data for your primary research project.

Survey or Interview? 

How do you choose between conducting a survey or an interview? It depends on what kind of information you are looking for. You should use surveys if you want to learn about a general trend in people’s opinions, experiences, and behavior. Surveys are particularly useful to find small amounts of information from a wider selection of people in the hopes of making a general claim. Interviews are best used when you want to learn detailed information from a few specific people. Interviews are also particularly useful if you want to interview experts about their opinions, as Jared did. In sum, use interviews to gain de-tails from a few people, and surveys to learn general patterns from many people.

Writing Good Questions

One of the greatest challenges in conducting surveys and interviews is writing good questions. As a researcher, you are always trying to eliminate bias, and the questions you ask need to be unbiased and clear. Here are some suggestions on writing good questions:

Ask about One Thing at a Time

A poorly written question can contain multiple questions, which can confuse participants or lead them to answer only part of the question you are asking. This is called a “double-barreled question” in journalism. The following questions are taken from Jared’s research:

Poor question: What kinds of problems are being faced in the field today and where do you see the search for solutions to these problems going?

Revised question #1: What kinds of problems are being faced in the field today?

Revised question #2: Where do you see the search for solutions to these problems going?

Avoid Leading Questions

A leading question is one where you prompt the participant to respond in a particular way, which can create bias in the answers given:

Leading question: The economy is clearly in a crisis, wouldn’t you agree?

Revised question: Do you believe the economy is currently in a crisis? Why or why not?

Understand When to Use Open and Closed Questions

Closed questions, or questions that have yes/no or other limited responses, should be used in surveys. However, avoid these kinds of questions in interviews because they discourage the interviewee from going into depth. The question sample above, “Do you believe the economy currently is in a crisis?” could be answered with a simple yes or no, which could keep a participant from talking more about the issue. The “why or why not?” portion of the question asks the participant to elaborate. On a survey, the question “Do you believe the economy currently is in a crisis?” is a useful question because you can easily count the number of yes and no answers and make a general claim about participant responses.

Write Clear Questions

When you write questions, make sure they are clear, concise, and to the point. Questions that are too long, use unfamiliar vocabulary, or are unclear may confuse participants and you will not get quality responses.

Now that question creation has been addressed, we will next examine specific considerations for interviews and surveys.

Interviews, or question and answer sessions with one or more people, are an excellent way to learn in-depth information from a person for your primary research project. This section presents information on how to conduct a successful interview, including choosing the right person, ways of interviewing, recording your interview, interview locations, and transcribing your interview.

Choosing the Right Person

One of the keys to a successful interview is choosing the right person to interview. Think about whom you would like to interview and whom you might know. Do not be afraid to ask people you do not know for interviews. When asking, simply tell them what the interview will be about, what the interview is for, and how much time it will take. Jared used his Purdue University connection to locate both of the individuals that he ended up interviewing—an advanced Purdue student and a Purdue alum working in an Engineering firm.

Face-to-Face and Virtual Interviews

When interviewing, you have a choice of conducting a traditional, face-to-face interview or an interview using technology over the Internet. Face-to-face interviews have the strength that you can ask follow-up questions and use non-verbal communication to your advantage. Individuals are able to say much more in a face-to-face interview than in an email, so you will get more information from a face-to-face interview. However, the Internet provides a host of new possibilities when it comes to interviewing people at a distance. You may choose to do an email interview, where you send questions and ask the person to respond. You may also choose to use a video or audio conferencing program to talk with the person virtually. If you are choosing any Internet-based option, make sure you have a way of recording the interview. You may also use a chat or instant messaging program to interview your participant—the benefit of this is that you can ask follow-up questions during the interview and the interview is already transcribed for you. Because one of his interviewees lived several hours away, Jared chose to interview the Purdue student face-to-face and the Purdue alum via email.

Finding a Suitable Location

If you are conducting an in-person interview, it is essential that you find a quiet place for your interview. Many universities have quiet study rooms that can be reserved (often found in the university library). Do not try to interview someone in a coffee shop, dining hall, or other loud area, as it is difficult to focus and get a clear recording.

Recording Interviews

One way of eliminating bias in your research is to record your interviews rather than rely on your memory. Recording interviews allows you to directly quote the individual and re-read the interview when you are writing. It is recommended that you have two recording devices for the interview in case one recording device fails. Most computers, MP3 players, and even cell phones come with recording equipment built in. Many universities also offer equipment that students can check out and use, including computers and recorders. Before you record any interview, be sure that you have permission from your participant.

Transcribing Your Interview

Once your interview is over, you will need to transcribe your interview to prepare it for analysis. The term transcribing means creating a written record that is exactly what was said—i.e. typing up your interviews. If you have conducted an email or chat interview, you already have a transcription and can move on to your analysis stage.

Other than the fact that they both involve asking people questions, interviews and surveys are quite different data collection methods. Creating a survey may seem easy at first, but developing a quality survey can be quite challenging. When conducting a survey, you need to focus on the following areas: survey creation, survey testing, survey sampling, and distributing your survey.

Survey Creation: Length and Types of Questions

One of the keys to creating a successful survey is to keep your survey short and focused. Participants are unlikely to fill out a survey that is lengthy, and you’ll have a more difficult time during your analysis if your survey contains too many questions. In most cases, you want your survey to be something that can be filled out within a few minutes. The target length of the survey also depends on how you will distribute the survey. If you are giving your survey to other students in your dorm or classes, they will have more time to complete the survey. Therefore, five to ten minutes to complete the survey is reasonable. If you are asking students as they are walking to class to fill out your survey, keep it limited to several questions that can be answered in thirty seconds or less. Derek’s survey took about ten minutes and asked students to describe what they ate for a day, along with some demographic information like class level and gender.

   Use closed questions to your advantage when creating your survey. A closed question is any set of questions that gives a limited amount of choices (yes/no, a 1–5 scale, choose the statement that best describes you). When creating closed questions, be sure that you are accounting for all reasonable answers in your question creation. For example, asking someone “Do you believe you eat healthy?” and providing them only “yes” and “no” options means that a “neutral” or “undecided” option does not exist, even though the survey respondent may not feel strongly either way. Therefore, on closed questions you may find it helpful to include an “other” category where participants can fill in an answer. It is also a good idea to have a few open-ended questions where participants can elaborate on certain points or earlier responses. How-ever, open-ended questions take much longer to fill out than closed questions. 

Survey Creation: Testing Your Survey

To make sure your survey is an appropriate length and that your questions are clear, you can “pilot test” your survey. Prior to administering your survey on a larger scale, ask several classmates or friends to fill it out and give you feedback on the survey. Keep track of how long the survey takes to complete. Ask them if the questions are clear and make sense. Look at their answers to see if the answers match what you wanted to learn. You can revise your survey questions and the length of your survey as necessary.

Sampling and Access to Survey Populations

“Sampling” is a term used within survey research to describe the subset of people that are included in your study. Derek’s first research question was: “Are students’ eating habits at Purdue University healthy or unhealthy?” Because it was impossible for Derek to survey all 38,000 students on Purdue’s campus, he had to choose a representative sample of students. Derek chose to survey students who lived in the dorms because of the wide variety of student class levels and majors in the dorms and his easy access to this group. By making this choice, however, he did not account for commuter students, graduate students, or those who live off campus. As Derek’s case demonstrates, it is very challenging to get a truly representative sample.

   Part of the reason that sampling is a challenge is that you may find difficulty in finding enough people to take your survey. In thinking about how get people to take your survey, consider both your everyday surroundings and also technological solutions. Derek had access to many students in the dorms, but he also considered surveying students in his classes in order to reach as many people as possible. Another possibility is to conduct an online survey. Online surveys greatly increase your access to different kinds of people from across the globe, but may decrease your chances of having a high survey response rate. An email or private message survey request is more likely to be ignored due to the impersonal quality and high volume of emails most people receive.

Analyzing and Writing About Primary Research

Once you collect primary research data, you will need to analyze what you have found so that you can write about it. The purpose of analyzing your data is to look at what you collected (survey responses, interview answers to questions, observations) and to create a cohesive, systematic interpretation to help answer your research question or examine the validity of your hypothesis.

   When you are analyzing and presenting your findings, remember to work to eliminate bias by being truthful and as accurate as possible about what you found, even if it differs from what you expected to find. You should see your data as sources of information, just like sources you find in the library, and you should work to represent them accurately.

The following are suggestions for analyzing different types of data.

If you’ve counted anything you were observing, you can simply add up what you counted and report the results. If you’ve collected descriptions using a double-entry notebook, you might work to write thick descriptions of what you observed into your writing. This could include descriptions of the scene, behaviors you observed, and your overall conclusions about events. Be sure that your readers are clear on what were your actual observations versus your thoughts or interpretations of those observations.

If you’ve interviewed one or two people, then you can use your summary, paraphrasing, and quotation skills to help you accurately describe what was said in the interview. Just like in secondary research when working with sources, you should introduce your interviewees and choose clear and relevant quotes from the interviews to use in your writing. An easy way to find the important information in an interview is to print out your transcription and take a highlighter and mark the important parts that you might use in your paper. If you have conducted a large number of interviews, it will be helpful for you to create a spreadsheet of responses to each question and compare the responses, choosing representative answers for each area you want to describe.

Surveys can contain quantitative (numerical) and qualitative (written answers/descriptions) data. Quantitative data can be analyzed using a spreadsheet program like Microsoft Excel to calculate the mean (average) answer or to calculate the percentage of people who responded in a certain way. You can display this information in a chart or a graph and also describe it in writing in your paper. If you have qualitative responses, you might choose to group them into categories and/or you may choose to quote several representative responses.

Writing about Primary Research

In formal research writing in a variety of fields, it is common for research to be presented in the following format: introduction/background; methods; results; discussions; conclusion. Not all first year writing classes will require such an organizational structure, although it is likely that you will be required to present many of these elements in your paper. Because of this, the next section examines each of these in depth.

Introduction (Review of Literature)

The purpose of an introduction and review of literature in a research paper is to provide readers with information that helps them under-stand the context, purpose, and relevancy of your research. The introduction is where you provide most of your background (library) research that you did earlier in the process. You can include articles, statistics, research studies, and quotes that are pertinent to the issues at hand. A second purpose in an introduction is to establish your own credibility (ethos) as a writer by showing that you have researched your topic thoroughly. This kind of background discussion is required in nearly every field of inquiry when presenting research in oral or written formats.

   Derek provided information from the Food and Drug Administration on healthy eating and national statistics about eating habits as part of his background information. He also made the case for healthy eating on campus to show relevancy:

Currently Americans are more overweight than ever. This is coming at a huge cost to the economy and government. If current trends in increasing rates of overweight and obesity continue it is likely that this generation will be the first one to live shorter lives than their parents did. Looking at the habits of university students is a good way to see how a new generation behaves when they are living out on their own for the first time.

Describing What You Did (Methods)

When writing, you need to provide enough information to your readers about your primary research process for them to understand what you collected and how you collected it. In formal research papers, this is often called a methods section. Providing information on your study methods also adds to your credibility as a writer. For surveys, your methods would include describing who you surveyed, how many surveys you collected, decisions you made about your survey sample, and relevant demographic information about your participants (age, class level, major). For interviews, introduce whom you interviewed and any other relevant information about interviewees such as their career or expertise area. For observations, list the locations and times you observed and how you recorded your observations (i.e. double-entry notebook). For all data types, you should describe how you analyzed your data.

The following is a sample from Jared about his participants:

In order to gain a better understanding of the discourse community in environmental and resource engineering, I interviewed Anne Dare, a senior in environmental and natural resource engineering, and Alyson Keaton an alumnus of Purdue University. Alyson is a current employee of the Natural Resource Conservation Service (NRCS), which is a division of the United States Department of Agriculture (USDA).

Here is a sample from Derek’s methods section:

I conducted a survey so that I could find out what students at Purdue actually eat on a typical day. I handed out surveys asking students to record what they ate for a day . . . I received 29 back and averaged the results based on average number of servings from each food group on the old food guide pyramid. The group included students from the freshman to the graduate level and had 8 women and 21 men respond.

Describing Your Study Findings (Results)

In a formal research paper, the results section is where you describe what you found. The results section can include charts, graphs, lists, direct quotes, and overviews of findings. Readers find it helpful if you are able to provide the information in different formats. For example, if you have any kind of numbers or percentages, you can talk about them in your written description and then present a graph or chart showing them visually. You should provide specific details as supporting evidence to back up your findings. These details can be in the form of direct quotations, numbers, or observations.

Jared describes some of his interview results:

Alyson also mentioned the need for phone conversation. She stated, “The phone is a large part of my job. I am communicating with other NRCS offices daily to find out the status of our jobs.” She needs to be in constant contact in order to insure that everything is running smoothly. This is common with those overseeing projects. In these cases, the wait for a response to an email or a memo can be too long to be effective.

Interpreting What You Learned (Discussion)

In formal research papers, the discussion section presents your own interpretation of your results. This may include what you think the results mean or how they are useful to your larger argument. If you are making a proposal for change or a call to action, this is where you make it. For example, in Derek’s project about healthy eating on campus, Derek used his primary research on students’ unhealthy eating and observations of the food courts to argue that the campus food courts needed serious changes. Derek writes, “Make healthy food options the most accessible in every dining hall while making unhealthy foods the least. Put nutrition facts for everything that is served in the dining halls near the food so that students can make more informed decisions on what to eat.”

   Jared used the individuals he interviewed as informants that helped him learn more about writing in agricultural and biological engineering. He integrated the interviews he conducted with secondary research to form a complete picture of writing and communication in agricultural and biological engineering. He concludes:

Writing takes so many forms, and it is important to know about all these forms in one way or another. The more forms of writing you can achieve, the more flexible you can be. This ability to be flexible can make all the difference in writing when you are dealing with a field as complex as engineering.

Primary Research and Works Cited or References Pages

The last part of presenting your primary research project is a works cited or references page. In general, since you are working with data you collected yourself, there is no source to cite an external source. Your methods section should describe in detail to the readers how and where the data presented was obtained. However, if you are working with interviews, you can cite these as “personal communication.” The MLA and APA handbooks both provide clear listings of how to cite personal communication in a works cited/references page.

This essay has presented an overview to three commonly used methods of primary research in first year writing courses: observations, interviews, and surveys. By using these methods, you can learn more about the world around you and craft meaningful written discussions of your findings.

• Primary research techniques show up in more places than just first year writing courses. Where else might interviews, surveys, or observations be used? Where have you seen them used?
• The chapter provides a brief discussion of the ethical considerations of research. Can you think of any additional ethical considerations when conducting primary research? Can you think of ethical considerations unique to your own research project?
• Primary research is most useful for first year writing students if it is based in your local community or campus. What are some current issues on your campus or in your community that could be investigated using primary research methods?
• In groups or as a class, make a list of potential primary research topics. After each topic on the list, consider what method of inquiry (observation, interview, or survey) you would use to study the topic and answer why that method is a good choice.

Suggested Resources

For more information on the primary methods of inquiry described here, please see the following sources:

Works Cited

This essay was written by Dana Lynn Driscoll and was published as a chapter in Writing Spaces: Readings on Writing , Volume 2, a peer-reviewed open textbook series for the writing classroom. This work is licensed under the Attribution-NonCommercial-ShareAlike 3.0 Unported License (CC BY-NC-SA 3.0) . Please keep this information on this material if you use, adapt, and/or share it.  

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Research Questions: Types and Research Question Examples

The complete guide to research questions, including examples and sample research questions.

Research questions are critical components of any scientific investigation, guiding researchers toward focused preliminary research and assisting them in producing significant results. They provide a clear direction and purpose for the research paper and serve as the cornerstone.

In this article, we will discuss the significance of research questions and present 27 examples from diverse fields to demonstrate their variety and application.

What are the research questions?

Research questions are defined as fundamental questions that facilitate a research project, a research study, a dissertation, a thesis, or a review. It allows researchers to collect relevant information to narrow the study's purpose and solve the research problem.

Asking appropriate research questions is the most crucial step in market research projects. You can use the insights from your own research questions to determine the path of the study. These insights also play an essential role in conducting a survey, analyzing obtained data, and reporting the analyzed information.

Choosing the right research questions helps you decide whether qualitative and quantitative research methods are best. The main objective of your research and the research theme define the type of qualitative or quantitative research questions you use.

The target audience and kind of research you're conducting also play significant roles. Below are a few research question ideas and good research question examples.

27 Research questions examples

To develop research questions for your academic research or marketing study, you must understand the types of questions available. Let's look at examples of research questions and sample research questions in general. Use these existing methods or research question examples to build beautiful surveys.

01. Open-ended research question

Open-ended questions are widely used in qualitative research and are common examples of qualitative research questions. Open-ended questions capture open responses from a research audience and open the door for text-based analysis of the data you receive.

This type of question forms the foundation of online qualitative research conducted using surveys and questionnaires.

Below is an example of an open-ended research question:

02. Multiple choice research question

Researchers use multiple-choice research questions to capture single or multiple responses from your research audience. They typically use these market research questions when conducting poll-based research, where the audience needs to select multiple responses to one problem. It can also be used with single-select answers to limit the number of answers a respondent can choose.

Below is an example of a multiple-choice research question with a single-select answer option:

03. Rank order scaling research question

This is a ranking-type question that offers multiple answer options. The participant selects answers in order of preference. Researchers usually use these research questions to understand respondents' opinions on preferred brands or products.

You can use data from rank order questions to determine which product a respondent prefers, even if they enjoy multiple products. For example, someone may like chocolates, cakes, and candy, but which do they like the most?

Rank-order scaling questions are the right research questions to determine which dessert is most loved by the respondent.

Below is a typical example of rank order:

04. Rating scale research question

Rating scale research questions capture responses based on a continuous scale rather than individual points. It is often used in medical research visual analog scales or pain scales, where patients need to rate their pain level. Another example would be a typical experience-based rating scale, like the example below.

05. Net promoter score question

Brands typically use a Net Promoter Score question to evaluate customer loyalty and brand recommendations. This question type is prevalent in consumer research, where this single question can provide numeric insights into the customer experience.

The data collected from Net Promoter Score questions allows you to see how many of your brand's followers are actively promoting your brand. You also get insight into how many are actively not recommending your products. For example, respondents answer this question on a scale of 0-10:

As per their rankings, respondents are classified under either of the three groups: Detractors (0-6), Passives (7-8), and Promoters (9-10).

06. Likert scale research question

The Likert scale question presents a psychometric scale with different answer options such as agree/disagree, very frequently/not very often, important/unimportant, and other similar polarizing nature questions. Generally divided into even and odd Likert scale questions, they are highly popular with researchers due to the accuracy of their results.

07. Semantic differential scale research question

A semantic differential scale question quantifies the feelings and opinions of a respondent. This question type uses a multiple-point rating scale to understand better the respondent's feelings on a particular service, brand, organization, or product. The scale features polarized opinions on either end, with a neutral option in the middle.

08. Stapel scale research question

It is a unipolar research question with a +5 to -5 rating scale for the respondents to rate a single factor. These questions often involve offering the respondent an adjective or trait in conjunction with a brand or product. The respondent uses the scale to determine whether the attribute accurately or inaccurately describes the brand, product, or organization.

09. Constant sum research question

A numeric answer question allows a researcher to collect ratio data about the answer options' factors. Respondents can assign a particular value to an entity, and the other entities can be comparatively rated.

10. Demographic research question

Demographic questions are based on a person's age, gender, family income, race, ethnicity, education, and other defining factors. Research about whether a specific product will be effective with a particular age or gender group can be carried out using demographic research questions.

11. Matrix table research question

It is a multiple-choice, close-ended question where multiple parameters are rated using the same column answer options. Matrix questions work similarly to any other scale questions but allow for more efficient use of space. Instead of asking five questions about the quality of different customer experiences, you can use just one question to capture the data.

12. Side-by-side matrix research question

Side-by-side matrix research questions allow the respondent to rate multiple variables at once. Like a single matrix, these research questions will enable you to compact your survey. However, you mustn't overload respondents with too many matrix questions, as they require more thought to answer. It can lead to high dropout rates.

13. Static content question

This question is an option for the researchers to include descriptive research questions such as presentation text, heading, or subheading. Static content isn't technically a question, as it is used for display purposes only. Instead, your static content can provide participants with important information about a section or your survey.

14. Miscellaneous question

Miscellaneous questions allow you to ask questions that don't fit into another category. Some types of demographic or categorizing questions are best used as miscellaneous questions.

15. Visual analog scale question

A visual analog scale is used to analyze pain levels among patients and generally evaluate characteristics across a constant range of values. It gives a picture or graphic that depicts various feelings on a scale. The respondent uses the images to help determine where they fall on the scale.

16. Image chooser-type question

Images are perfect tools to enhance user experience and, in turn, increase response rates for research. Image research questions help make your survey more visually appealing while decreasing the time a respondent needs to answer a question. Using select one, select many, or image rating matrix question options prompts several respondents to reply to the research survey.

17. Data reference question

Reference data research questions are used to accumulate or approve zip code data against standardized data.

18. Upload data question

Respondents can upload images, digital signatures, or videos with their research responses. Upload data questions are the right research questions for collecting signatures or accepting submissions.

19. Choice model question

Conjoint analysis and Maximum Difference questions fall under the category of choice model research questions. Conjoint analysis is used to understand respondent preferences about two or more entities. Maximum Difference is used to rate up to 30 factors such as features, interests, the scope of improvement, or the potential positioning of an upcoming product.

20. Dichotomous research question

These question types have Yes/No/Maybe, True/False, and Agree/Disagree answer options. Using them extensively in research is not advised due to the limited insights received.

21. Leading research question

A leading question is a market research question that pushes respondents to answer a particular question in a specific manner based on how they are framed. Leading questions often already contain information that the survey creator wants to confirm rather than try to get a correct and unbiased answer to that question.

22. Text slider research question

A text slider research question is a rating scale question type that uses an interactive slider to select the most appropriate option. Rating scales are often used to measure the direction and intensity of attitudes. The scale is well-defined and increases at an equal rate.

23. Push to the social research question

Push to social research questions allows respondents to share positive reviews or feedback on social media sites like Facebook and Twitter. This question creates a positive feeling about your brand on social media. Alternatively, this can be effectively used to collect and address negative feedback before it goes out on social media.

24. Max diff research question

Max Diff is a question type where respondents are given a set of attributes and asked to indicate the best and worst. In this research question type, there is only one of each option in the final response. For example, if a bank wants to understand payment merchants' preferences, the question can be asked in the following format.

25. Van Westendorp-price sensitivity research Question

The Van Westendorp-Price Sensitivity is a technique for market researchers to gauge consumer perceptions of products or services' value. It helps in understanding the need to tweak the price and offering. For example, if a software product manufacturer wants to know how to price a product, the following question could be asked:

26. Date/time research question

The date/Time research question type allows for collecting date/time information filled in by a respondent. For example, the following question can answer questions about the date of birth.

27. CAPTCHA research question

This research question type limits the number of phony responses in a survey or data collection by automated computer programs.

Importance of using the right research questions

When a research program is initiated, it requires a channel to accurately collect data for the study. Research questions form this channel and help a researcher to kick-start the research.

As the research continues, these questions are molded according to the original insights, which shape a practical study. Your first research questions may not be the final step in the research process, but they are the first to build your research hypothesis.

The importance of research questions can be highly subjective. For some researchers, formulating research questions might be necessary because they provide insights into essential decision-making factors.

Or example, a focused research question could give you vital data about funding needs or how to find the right resources to reach business goals.

How to write a research question to capture accurate information

What are the good research questions? Specific research questions are much more useful than template questions. Follow these six steps to learn how to write questions for research:

• Select a broad research topic that interests the target audience: You must choose an intriguing topic to target respondents. Interesting research topics encourage respondents to complete the survey on time. The problem should be vague enough that you can create plenty of the right research questions. You don't want your topic to be so specific that you can't produce enough questions to gather the needed data.
• Conduct rough research on your topic: Conduct primary research to analyze what information is available and what can be explored. This way, you can decide which case is most likely to achieve the best results based on what data is not currently available.
• Keep the target audience in mind: You must keep your target audience in mind and slowly narrow your research to a topic that caters to a particular set of people. It will help gather precise research information to make products and services customer-centric and boost your business.
• Frame appropriate questions: Draft a research questionnaire with open-ended and closed-ended questions to help you get the necessary information. You can use question framing to help you get the most information out of a respondent. For example, offer an open-ended and closed-ended questions about one particular product next to one another in your survey.
• Analyze these research questions: Once the questions are framed and ready to be sent out, you must analyze the questions' effectiveness. If there is room for improvement, these questions need to be revisited and reframed.
• Brainstorm the possible outcomes: After creating appropriate questions, you can map out your questions' potential responses. What types of answers are you expecting? Will they support your current plan? If not, what changes can you make to serve customers better based on their responses? This step helps prepare everyone involved in the survey and data analysis of a potential plan of action based on the study's top possible outcomes.

Three points to remember while writing research questions: Ordering your questions is vital to give a sense of flow to the survey. Always rank your items from simple concepts to more complex ones. Here are tips on how to write a research question.

• Right research questions start with a problem that needs to be solved.
• Research questions must be engaging enough for customers or employees to invest their time. At the same time, your questions need to provide data that can actually be used to better your brand or organization.
• Your questions should be straightforward to understand. It helps keep respondents engaged while also collecting the most accurate answers. If a respondent doesn't understand a problem, they may back out of the survey or choose an answer randomly.

What are examples of good research questions?

Clear, specific, pertinent, and capable of producing new knowledge with existing knowledge or insights are all characteristics of good research questions. Here are a few examples of good research questions from many disciplines:

• Question: What specifications would you like us to launch with our next mobile phone? The reason why it is a good research question: The question asks about a specific product. It will give respondents room to explain what they expect from an upcoming product.
• Question: What steps do you suggest to tackle the current situation of world poverty? The reason why it is a good research question: This question is simply put in practical terms so that the respondents can reply honestly to this open-ended question.
• Question: Among all our products, which one do you think is the most successful? The reason why it is a good research question: By asking respondents which product they think is most successful, you gain valuable insight into the perception of your various products.
• Question: How can online users deal with trolls on social networking websites? The reason why it is a broad research question: These are focused research questions that are well-constructed and understandable.
• Question: As a customer, what qualities in an organization appeal to you, and what can be done to make you stay loyal? The reason why it is a broad research question: The reason why it is a good research question: This question is complicated yet conveys the message.

It is important to ensure that research questions are specific, relevant, and attainable. Researchers can then begin with relevant questions that have the potential to make significant improvements to their respective professions.

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• Primary Research | Definition, Types, & Examples

Primary Research | Definition, Types, & Examples

Published on 15 January 2023 by Tegan George .

Primary research is a research method that relies on direct data collection , rather than relying on data that’s already been collected by someone else. In other words, primary research is any type of research that you undertake yourself, firsthand, while using data that has already been collected is called secondary research.

Primary research is often used in qualitative research , particularly in survey methodology, questionnaires, focus groups, and various types of interviews . While quantitative primary research does exist, it’s not as common.

Table of contents

When to use primary research, types of primary research, examples of primary research, advantages and disadvantages of primary research, frequently asked questions.

Primary research is any research that you conduct yourself. It can be as simple as a 2-question survey, or as in-depth as a years-long longitudinal study . The only key is that data must be collected firsthand by you.

Primary research is often used to supplement or strengthen existing secondary research. It is usually exploratory in nature, concerned with examining a research question where no preexisting knowledge exists. It is also sometimes called original research for this reason.

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Primary research can take many forms, but the most common types are:

• Surveys and questionnaire
• Observational studies
• Interviews and focus groups
• Surveys and questionnaires

Surveys and questionnaires collect information about a group of people by asking them questions and analyzing the results. They are a solid choice if your research topic seeks to investigate something about the characteristics, preferences, opinions, or beliefs of a group of people.

Surveys and questionnaires can take place online, in person, or through the mail. It is best to have a combination of open-ended and closed-ended questions, and how the questions are phrased matters. Be sure to avoid leading questions, and ask any related questions in groups, starting with the most basic ones first.

Observational studies are an easy and popular way to answer a research question based purely on what you, the researcher, observes. If there are practical or ethical concerns that prevent you from conducting a traditional experiment , observational studies are often a good stopgap.

There are three types of observational studies: cross-sectional studies , cohort studies, and case-control studies. If you decide to conduct observational research, you can choose the one that’s best for you. All three are quite straightforward and easy to design – just beware of confounding variables and observer bias creeping into your analysis.

Similarly to surveys and questionnaires, interviews and focus groups also rely on asking questions to collect information about a group of people. However, how this is done is slightly different. Instead of sending your questions out into the world, interviews and focus groups involve two or more people – one of whom is you, the interviewer, who asks the questions.

There are 3 main types of interviews:

• Structured interviews ask predetermined questions in a predetermined order.
• Unstructured interviews are more flexible and free-flowing, proceeding based on the interviewee’s previous answers.
• Semi-structured interviews fall in between, asking a mix of predetermined questions and off-the-cuff questions.

While interviews are a rich source of information, they can also be deceptively challenging to do well. Be careful of interviewer bias creeping into your process. This is best mitigated by avoiding double-barreled questions and paying close attention to your tone and delivery while asking questions.

Alternatively, a focus group is a group interview, led by a moderator. Focus groups can provide more nuanced interactions than individual interviews, but their small sample size means that external validity is low.

Primary research can often be quite simple to pursue yourself. Here are a few examples of different research methods you can use to explore different topics.

Primary research is a great choice for many research projects, but it has distinct advantages and disadvantages.

Advantages of primary research

Advantages include:

• The ability to conduct really tailored, thorough research, down to the ‘nitty-gritty’ of your topic . You decide what you want to study or observe and how to go about doing that.
• You maintain control over the quality of the data collected, and can ensure firsthand that it is objective, reliable , and valid .
• The ensuing results are yours, for you to disseminate as you see fit. You maintain proprietary control over what you find out, allowing you to share your findings with like-minded individuals or those conducting related research that interests you for replication or discussion purposes.

Disadvantages of primary research

Disadvantages include:

• In order to be done well, primary research can be very expensive and time consuming. If you are constrained in terms of time or funding, it can be very difficult to conduct your own high-quality primary research.
• Primary research is often insufficient as a standalone research method, requiring secondary research to bolster it.
• Primary research can be prone to various types of research bias . Bias can manifest on the part of the researcher as observer bias , Pygmalion effect , or demand characteristics . It can occur on the part of participants as a Hawthorne effect or social desirability bias .

The 3 main types of primary research are:

Exploratory research explores the main aspects of a new or barely researched question.

Explanatory research explains the causes and effects of an already widely researched question.

There are several methods you can use to decrease the impact of confounding variables on your research: restriction, matching, statistical control, and randomisation.

In restriction , you restrict your sample by only including certain subjects that have the same values of potential confounding variables.

In matching , you match each of the subjects in your treatment group with a counterpart in the comparison group. The matched subjects have the same values on any potential confounding variables, and only differ in the independent variable .

In statistical control , you include potential confounders as variables in your regression .

In randomisation , you randomly assign the treatment (or independent variable) in your study to a sufficiently large number of subjects, which allows you to control for all potential confounding variables.

A questionnaire is a data collection tool or instrument, while a survey is an overarching research method that involves collecting and analysing data from people using questionnaires.

When conducting research, collecting original data has significant advantages:

• You can tailor data collection to your specific research aims (e.g., understanding the needs of your consumers or user testing your website).
• You can control and standardise the process for high reliability and validity (e.g., choosing appropriate measurements and sampling methods ).

However, there are also some drawbacks: data collection can be time-consuming, labour-intensive, and expensive. In some cases, it’s more efficient to use secondary data that has already been collected by someone else, but the data might be less reliable.

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Primary Research: Methods and Best Practices

Introduction

What is the definition of primary research, what are examples of primary research, primary vs. secondary research, types of primary research, when to use primary research.

Conducting research involves two types of data: primary data and secondary data . While secondary research deals with existing data, primary research collects new data . Ultimately, the most appropriate type of research depends on which method is best suited to your research question .

While this article discusses the difference between primary and secondary research, the main focus is on primary research, the types of data collected through primary research, and considerations for researchers who conduct primary research.

Simply put, researchers conduct primary research to gather new information. When existing data cannot address the research inquiry at hand, the researcher usually needs to collect new data to meet their research objectives.

How do you identify primary research?

Primary research uses collected data that hasn't been previously documented. Primary research typically means collecting data straight from the source (e.g., interviewing a research participant , observing a cultural practice or phenomenon firsthand).

Note that other divides that you should also consider include that of collecting quantitative or qualitative data , and of conducting basic or applied research . Each of these dimensions informs and is informed by your research inquiry.

What are the advantages of primary research?

New data, particularly that which addresses a research gap, can contribute to a novel inquiry and prove compelling to the research audience. When a researcher conducts a literature review and generates a problem statement for their research, they can identify what new data needs to be collected and what primary research method can be used to collect it.

Primary research studies ultimately contribute to theoretical developments and novel insights that an analysis of existing data might not have identified. Research publications in some fields may place a premium on primary research for its potential to generate new scientific knowledge as a result.

What are the disadvantages of primary research?

Primary research is time-consuming and potentially expensive to conduct, considering the equipment and resources needed to collect new data as well as the time required to engage with the field and collect data.

Moreover, primary research relies on new data that has yet to be documented elsewhere, meaning that the research audience is less familiar with the primary data being presented. This might raise issues of transparency and research rigor (e.g., how does the audience know that the data they are shown is trustworthy?).

Primary research is common in various fields of research. Let's look at some typical examples of primary research in three different areas.

Education research

Teaching and learning is a field that relies on evidence-based data to make policy recommendations affecting teachers, learning materials, and even classroom requirements. As a result, there are countless methods for collecting relevant data on the various aspects of education.

Observations , interviews , and assessments are just some of the primary research methods that are employed when studying education contexts. Education research acknowledges the full variety of situated differences found in the diversity of learners and their schooling contexts. This makes collecting data that is relevant to the given context and research inquiry crucial to understanding teaching and learning.

Market research

Businesses often rely on primary research to understand the target market for their products and services. Since competing businesses tend not to share research on customer insights with each other, primary research collecting original data can be a necessity.

Focus groups , surveys , and user research are typical research tools employed by businesses. Within market research, the goal is typically to understand customers' preferences and use cases for specific products and services.

Cultural studies

Fields such as anthropology and sociology count on primary research for understanding cultures and communities. Ethnographic research acknowledges that thick description of cultures and phenomena is more meaningful than only generating universal theories, making the collection of primary data essential to understanding the full diversity of the social world.

Researchers examining culture often collect data through interviews, observations, and photovoice, among other research methods. These methods look at the social world through the eyes of the research participants to generate an immersive view of cultures and groups with which audiences may not be familiar.

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Primary research data stands in contrast to secondary research data, which is any data that has been previously collected and documented. In some situations, existing data may be abundant and available, making secondary research a more feasible approach to generating theory and identifying key insights.

Secondary research methods are employed in all fields of research. Market researchers conduct secondary research when there is already existing data about a target market. In particular, secondary market research might look at previous trends in the popularity of products to make predictions about the demand for new products.

Scholarly researchers can use secondary sources such as corpora, news articles, and online videos to make assertions about language and culture. Analytical approaches such as discourse analysis and content analysis can be well suited to analyzing data collected through secondary research methods.

Ultimately, primary and secondary research go hand in hand. The main function of research in building knowledge does not necessarily depend on the use of primary data collection . Rather, it is a matter of whether data needs to be collected in order to address your research inquiry, or relevant data already exists and you can access it.

There are many research methods used to collect data for primary research. The research method that works best for you depends on what you are looking to do with your research project.

This section lists some of the common primary data collection methods that researchers rely on.

One-on-one interviews are useful for capturing perspectives from research participants. Direct interactions can tell researchers what perspectives their research participants have and the thinking behind those perspectives.

Interview research is a complex and detailed methodology that includes several types of interviews to suit various research inquiries. Researchers can choose between structured interviews , semi-structured interviews , and unstructured interviews , depending on the nature of interaction they are looking to establish.

Focus groups

Focus groups are discussions that involve multiple research participants and are led by a moderator. Similar to interviews, the primary goal is to gather information about people's perspectives. Yet focus groups are distinct, because they can capture how people interact and build meaning when discussing a particular topic.

Market researchers may consider conducting a focus group discussion when they want to know more about how a particular group feels about a product or service. Researchers in linguistics and anthropology might be interested in observing how a group of people construct meaning with each other.

Observations

In research involving naturalistic inquiry and the social world, the researcher can gather information directly from the field through observational research methods . Primary data takes the form of field notes , audio and video recordings , their resulting transcripts , and even images of objects of interest.

For quantitative research inquiries, observation entails measuring the amount of activity or the frequency of particular phenomena. Qualitative observations look for patterns in cultural or social practices and document significant events in the field.

When the objective is to capture perspectives from large numbers of people, surveys are a good research method for collecting novel data. In-person questionnaires and online surveys can be used to quickly collect data at scale.

Surveys are used for conducting primary research in both quantitative and qualitative research . The structure of survey questions provide data that can be measured quantitatively, while open-ended survey responses require qualitative data analysis .

Experiments

While the above methods emphasize or are involved with naturalistic inquiry, experiments are a different form of primary research that is far more controlled. When you want to understand the relationship between various elements in a certain context (e.g., the effect of water and fertilizer on plant growth), a controlled experiment is a typical research approach to empirically establish scientific knowledge.

Experiments focus on a specific set of factors from the research phenomenon to understand causal relationships between variables. Experiments are a common primary research method in physical sciences, but they are also extensively used in psychology, education, and political science, among other areas.

The decision to conduct a primary or secondary study is a question of whether existing data is sufficient to satisfy the research inquiry at hand. Where data does not exist, primary research should be conducted.

Consider an example research study regarding ideal teaching methods in elementary school contexts in a developing country in Asia. Just because there is abundant data on the same topic in elementary schools in Western countries does not preclude the possibility of novel theoretical developments in schools in Asia. This becomes particularly important if insights based on existing data from other contexts may not be applicable to the present context.

Note that this does not mean that a secondary research study is any less novel than a primary study. Indeed, many fields and methodologies rely extensively on analyzing existing data. For example, studies that employ discourse analysis and content analysis typically (though not always) rely on existing sources of data to facilitate understanding of language use in real-world situations.

As a result, the choice between primary and secondary research can be seen as more of a practical consideration than a matter of a study's potential contribution to scientific knowledge. Novelty in research is as much about the data collection as it is about the resulting analysis. If you require data for your study where none exists, then data from primary research is your best option.

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What is Primary Research? Definitions, Methods, Sources, Examples, and More

Table of Contents

What is Primary Research? Primary Research Meaning

Primary research is a cornerstone of insightful, accurate, and effective decision-making in both academic and professional settings. At its core, primary research refers to the process of collecting data directly from sources rather than relying on previously gathered information, distinguishing it clearly from secondary research . 

The process of directly controlling the collection of the data is pivotal for ensuring the accuracy and relevance of the analysis, enabling researchers to tailor their investigations to specific research questions or problems put to them by stakeholders. This direct involvement contrasts with primary vs secondary research , where the latter often involves analyzing existing data.

Primary research serves as a vital component when seeking answers to your business objectives, filling gaps in existing knowledge and providing new data for analysis. Particularly coming into play when solving research problems with a high degree of specificity and relevance. 

By leveraging primary research, professionals can uncover unique insights, highly specific to their intended target market, tailored to their industry and unique to their product of interest. This level of tailoring is simply not possible through the use of secondary research.

When to Use Primary Research

Selecting the appropriate research method is a critical decision that hinges on the objectives of the study. Primary research is particularly beneficial in scenarios where recent, specific data is required to address a unique problem or question. This method is ideal for:

Academic Research

In the realm of academic research, primary research is indispensable when fresh insights or novel data are necessary to advance knowledge or contribute to scholarly debates. This type of research is crucial for:

• Exploring New Theories or Models : When a researcher aims to develop or validate a new theory, firsthand data collection is essential. For instance, a psychologist conducting experiments to test a new cognitive behavioral therapy model for anxiety would rely on primary research to gather data on the therapy's effectiveness directly from participants.
• Filling Knowledge Gaps : Primary research helps fill gaps in existing literature. If a historian is studying a less-documented cultural practice, interviews and observational studies can provide new insights that no secondary sources could offer.
• Improving Research Rigor : Utilizing primary data enhances the rigor of academic studies. By collecting and analyzing original data, researchers can draw conclusions with greater validity, offering substantial contributions to their fields.

Market Research

Market research utilizes primary research extensively to understand consumer behaviors, preferences, and trends. This method is particularly advantageous for:

• Product Development : Before launching a new product, companies often use surveys and focus groups to gather consumer feedback on the product concept, design, and functionality. For example, a beverage company considering a new flavor profile might conduct taste tests and focus groups to refine the product based on direct consumer feedback.
• Customer Satisfaction : To assess and enhance customer satisfaction, businesses frequently employ primary research methods such as customer satisfaction surveys and in-depth interviews. This allows companies to receive real-time feedback and quickly implement changes to improve customer service.
• Segmentation and Targeting : Through interviews and surveys, companies can identify customer segments and understand their specific needs and preferences. This segmentation enables more effective targeting of marketing efforts and product customization.

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Policy Formulation

Primary research is critical in policy formulation, particularly when policies need to be based on up-to-date and specific data regarding public opinion, needs, and conditions. Primary research methods such as public opinion polls and field observations are commonly used:

• Understanding Public Needs : Governments and organizations use primary research to gauge public opinion on various issues, from healthcare to urban development. For instance, before implementing a new public transport policy, a city council might conduct surveys to understand residents' preferences and concerns regarding transit options.
• Evaluating Policy Impact : After a policy is implemented, primary research is used to evaluate its effectiveness. This could involve collecting data on user satisfaction, policy usage, and public perception through direct feedback mechanisms like online polls or public forums.
• Refining Policies : Continuous primary research is necessary to refine and adjust policies based on direct stakeholder feedback. This dynamic approach ensures that policies remain relevant and effective over time.

In each of these contexts, primary research not only provides the specificity needed for tailored insights but also offers the flexibility to adapt to emerging data and trends, thereby enhancing the overall impact and effectiveness of the research efforts.

Types of Primary Research Methods with Examples

Primary research methods are diverse, each tailored to fit specific study objectives and research environments. These methods enable researchers to gather fresh, firsthand data directly related to their study's focus.

Surveys are structured questionnaires designed to collect data from a target audience. They are used widely due to their versatility in capturing a broad spectrum of information, ranging from customer preferences to behavioral patterns. Surveys can be administered online, in person, or via phone, making them adaptable to various research needs. For instance, a company aiming to gauge customer satisfaction might deploy an online survey to understand the factors influencing their product's user experience. This method allows for quick data collection from a large audience, providing valuable insights into customer sentiment. The volume of respondent data collected via this method also enables analysis via a range of statistical methods, allowing us to understand if the answers we receive are robust, or if there are any hidden patterns which emerge from the data.

One to One Interviews

Interviews involve direct, one-on-one conversations where detailed information is solicited from participants. They are particularly useful for gathering qualitative data, offering deep insights into participants' attitudes, experiences, and emotions. Interviews can be structured, semi-structured, or unstructured, giving researchers flexibility in their approach. Imagine a study exploring the impact of remote work on employee well-being. Conducting semi-structured interviews with employees would offer nuanced understandings of personal experiences, challenges faced, and the overall satisfaction with remote work arrangements. The depth of understanding and information gathered via this process is particularly useful when speaking to participants about difficult or challenging topics of conversation.

Focus Groups

Focus Groups are guided discussions with a small group of participants, typically used to explore new ideas or opinions about products, services, or concepts. This method is invaluable for generating rich, detailed data and for observing the dynamics of participants' interactions and consensus-forming processes. Consider a company developing a new smartphone app. Hosting a focus group session with potential users could unveil insights into user expectations, desired features, and usability concerns, directly influencing the app's development trajectory. Due to the small number of respondents involved in the groups, care must be taken to ensure that you are speaking to a representative sample of your intended audience.

Ethnographic Studies

Ethnographic Studies involve watching and recording the behavior of subjects in their natural environment without intervention. This method is critical for studies where interaction with the subject might alter the outcome. For example, a retailer interested in improving store layout might conduct an observational study to track customer navigation patterns, identifying areas of congestion or overlooked products. Ethnographic studies can uncover vital behaviours which respondents themselves may be unaware of, as researchers seek to identify the unconscious behaviors which may otherwise be hidden from other research methods.

Examples of Primary Sources in Research

Primary research data sources are the lifeblood of firsthand research, providing raw, unfiltered insights directly from the source. These include:

Customer Satisfaction Survey Results: Direct feedback from customers about their satisfaction with a product or service. This data is invaluable for identifying strengths to build on and areas for improvement and typically renews each month or quarter so that metrics can be tracked over time.

NPS Rating Scores from Customers: Net Promoter Score (NPS) provides a straightforward metric to gauge customer loyalty and satisfaction. This quantitative data can reveal much about customer sentiment and the likelihood of referrals.

Ad-hoc Surveys: Ad-hoc surveys can be about any topic which requires investigation, they are typically one-off surveys which zero in on one particular business objective. Ad-hoc projects are useful for situations such as investigating issues identified in other tracking surveys, new product development, ad testing, brand messaging, and many other kinds of projects.

A Field Researcher’s Notes: Detailed observations from fieldwork can offer nuanced insights into user behaviors, interactions, and environmental factors that influence those interactions. These notes are a goldmine for understanding the context and complexities of user experiences.

Recordings Made During Focus Groups: Audio or video recordings of focus group discussions capture the dynamics of conversation, including reactions, emotions, and the interplay of ideas. Analyzing these recordings can uncover nuanced consumer attitudes and perceptions that might not be evident in survey data alone.

Through these examples, it's clear that each primary research method and source serves a distinct purpose, providing unique insights that are crucial for informed decision-making and strategic planning in various contexts.

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Advantages and Disadvantages of Primary Research

Primary research, characterized by its ability to gather firsthand information directly from the source, plays a crucial role in the landscape of research methodologies. Despite its invaluable contributions to the acquisition of new, tailored data, primary research comes with its own set of advantages and disadvantages. Understanding these can help researchers and organizations make informed decisions when planning their research strategies.

Advantages of Primary Research

• Specificity and Relevance : Primary research allows for the collection of data specifically tailored to the research questions or objectives. This targeted approach ensures that the information gathered is highly relevant and directly applicable to the matter at hand, providing clear insights and facilitating informed decision-making.
• Control Over Data Quality : When conducting primary research, the researcher has complete control over the quality of data collected. This includes the design of the research method, the selection of participants, and the timing of data collection, all of which contribute to the reliability and validity of the research outcomes.
• Up-to-Date Information : One of the key strengths of primary research is its ability to produce the most current data possible. This is particularly important in fast-moving sectors where timely information can provide a competitive edge or in academic studies where recent data can lead to groundbreaking conclusions.
• Proprietary Information : The data collected through primary research is exclusive to the researcher or the commissioning organization. This proprietary nature of the data can offer a strategic advantage, especially in commercial contexts where unique insights can differentiate a company from its competitors.
• Flexibility : Primary research methods are highly flexible, allowing researchers to adjust their approach based on preliminary findings or to explore unexpected avenues. This adaptability can lead to more comprehensive and nuanced understandings of the research topic.

Disadvantages of Primary Research

• Cost : Conducting primary research is often expensive due to the costs associated with designing and implementing the study, recruiting participants, and collecting and analyzing data. These expenses can be prohibitive for some organizations or individual researchers.
• Time : Primary research can be time-consuming, from the initial planning stages through to data collection and data analysis . This extended timeline may not be suitable for projects with tight deadlines or where quick decisions are needed.
• Complexity : Designing and conducting primary research requires a certain level of expertise to ensure that the data collected is valid, reliable, and relevant. This complexity can pose challenges, particularly for those without extensive research experience.
• Sample Size and Representativeness : Achieving a sample size that is both large enough to be statistically significant and representative of the broader population can be challenging. Missteps in this area can lead to skewed data and potentially unreliable conclusions.
• Bias : Despite efforts to minimize bias in research design and implementation, primary research is vulnerable to biases introduced by the researcher, participants, or the research context itself. These biases can affect the objectivity and accuracy of the findings.

In conclusion, primary research is a valuable part of any researcher's toolkit, offering detailed, specific insights that are directly relevant to the research question. However, the decision to undertake primary research should be weighed against the potential costs, time requirements, and complexities involved.

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• v.53(4); 2010 Aug

Research questions, hypotheses and objectives

Patricia farrugia.

* Michael G. DeGroote School of Medicine, the

Bradley A. Petrisor

† Division of Orthopaedic Surgery and the

Forough Farrokhyar

‡ Departments of Surgery and

§ Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ont

Mohit Bhandari

There is an increasing familiarity with the principles of evidence-based medicine in the surgical community. As surgeons become more aware of the hierarchy of evidence, grades of recommendations and the principles of critical appraisal, they develop an increasing familiarity with research design. Surgeons and clinicians are looking more and more to the literature and clinical trials to guide their practice; as such, it is becoming a responsibility of the clinical research community to attempt to answer questions that are not only well thought out but also clinically relevant. The development of the research question, including a supportive hypothesis and objectives, is a necessary key step in producing clinically relevant results to be used in evidence-based practice. A well-defined and specific research question is more likely to help guide us in making decisions about study design and population and subsequently what data will be collected and analyzed. 1

Objectives of this article

In this article, we discuss important considerations in the development of a research question and hypothesis and in defining objectives for research. By the end of this article, the reader will be able to appreciate the significance of constructing a good research question and developing hypotheses and research objectives for the successful design of a research study. The following article is divided into 3 sections: research question, research hypothesis and research objectives.

Research question

Interest in a particular topic usually begins the research process, but it is the familiarity with the subject that helps define an appropriate research question for a study. 1 Questions then arise out of a perceived knowledge deficit within a subject area or field of study. 2 Indeed, Haynes suggests that it is important to know “where the boundary between current knowledge and ignorance lies.” 1 The challenge in developing an appropriate research question is in determining which clinical uncertainties could or should be studied and also rationalizing the need for their investigation.

Increasing one’s knowledge about the subject of interest can be accomplished in many ways. Appropriate methods include systematically searching the literature, in-depth interviews and focus groups with patients (and proxies) and interviews with experts in the field. In addition, awareness of current trends and technological advances can assist with the development of research questions. 2 It is imperative to understand what has been studied about a topic to date in order to further the knowledge that has been previously gathered on a topic. Indeed, some granting institutions (e.g., Canadian Institute for Health Research) encourage applicants to conduct a systematic review of the available evidence if a recent review does not already exist and preferably a pilot or feasibility study before applying for a grant for a full trial.

In-depth knowledge about a subject may generate a number of questions. It then becomes necessary to ask whether these questions can be answered through one study or if more than one study needed. 1 Additional research questions can be developed, but several basic principles should be taken into consideration. 1 All questions, primary and secondary, should be developed at the beginning and planning stages of a study. Any additional questions should never compromise the primary question because it is the primary research question that forms the basis of the hypothesis and study objectives. It must be kept in mind that within the scope of one study, the presence of a number of research questions will affect and potentially increase the complexity of both the study design and subsequent statistical analyses, not to mention the actual feasibility of answering every question. 1 A sensible strategy is to establish a single primary research question around which to focus the study plan. 3 In a study, the primary research question should be clearly stated at the end of the introduction of the grant proposal, and it usually specifies the population to be studied, the intervention to be implemented and other circumstantial factors. 4

Hulley and colleagues 2 have suggested the use of the FINER criteria in the development of a good research question ( Box 1 ). The FINER criteria highlight useful points that may increase the chances of developing a successful research project. A good research question should specify the population of interest, be of interest to the scientific community and potentially to the public, have clinical relevance and further current knowledge in the field (and of course be compliant with the standards of ethical boards and national research standards).

FINER criteria for a good research question

Adapted with permission from Wolters Kluwer Health. 2

Whereas the FINER criteria outline the important aspects of the question in general, a useful format to use in the development of a specific research question is the PICO format — consider the population (P) of interest, the intervention (I) being studied, the comparison (C) group (or to what is the intervention being compared) and the outcome of interest (O). 3 , 5 , 6 Often timing (T) is added to PICO ( Box 2 ) — that is, “Over what time frame will the study take place?” 1 The PICOT approach helps generate a question that aids in constructing the framework of the study and subsequently in protocol development by alluding to the inclusion and exclusion criteria and identifying the groups of patients to be included. Knowing the specific population of interest, intervention (and comparator) and outcome of interest may also help the researcher identify an appropriate outcome measurement tool. 7 The more defined the population of interest, and thus the more stringent the inclusion and exclusion criteria, the greater the effect on the interpretation and subsequent applicability and generalizability of the research findings. 1 , 2 A restricted study population (and exclusion criteria) may limit bias and increase the internal validity of the study; however, this approach will limit external validity of the study and, thus, the generalizability of the findings to the practical clinical setting. Conversely, a broadly defined study population and inclusion criteria may be representative of practical clinical practice but may increase bias and reduce the internal validity of the study.

PICOT criteria 1

A poorly devised research question may affect the choice of study design, potentially lead to futile situations and, thus, hamper the chance of determining anything of clinical significance, which will then affect the potential for publication. Without devoting appropriate resources to developing the research question, the quality of the study and subsequent results may be compromised. During the initial stages of any research study, it is therefore imperative to formulate a research question that is both clinically relevant and answerable.

Research hypothesis

The primary research question should be driven by the hypothesis rather than the data. 1 , 2 That is, the research question and hypothesis should be developed before the start of the study. This sounds intuitive; however, if we take, for example, a database of information, it is potentially possible to perform multiple statistical comparisons of groups within the database to find a statistically significant association. This could then lead one to work backward from the data and develop the “question.” This is counterintuitive to the process because the question is asked specifically to then find the answer, thus collecting data along the way (i.e., in a prospective manner). Multiple statistical testing of associations from data previously collected could potentially lead to spuriously positive findings of association through chance alone. 2 Therefore, a good hypothesis must be based on a good research question at the start of a trial and, indeed, drive data collection for the study.

The research or clinical hypothesis is developed from the research question and then the main elements of the study — sampling strategy, intervention (if applicable), comparison and outcome variables — are summarized in a form that establishes the basis for testing, statistical and ultimately clinical significance. 3 For example, in a research study comparing computer-assisted acetabular component insertion versus freehand acetabular component placement in patients in need of total hip arthroplasty, the experimental group would be computer-assisted insertion and the control/conventional group would be free-hand placement. The investigative team would first state a research hypothesis. This could be expressed as a single outcome (e.g., computer-assisted acetabular component placement leads to improved functional outcome) or potentially as a complex/composite outcome; that is, more than one outcome (e.g., computer-assisted acetabular component placement leads to both improved radiographic cup placement and improved functional outcome).

However, when formally testing statistical significance, the hypothesis should be stated as a “null” hypothesis. 2 The purpose of hypothesis testing is to make an inference about the population of interest on the basis of a random sample taken from that population. The null hypothesis for the preceding research hypothesis then would be that there is no difference in mean functional outcome between the computer-assisted insertion and free-hand placement techniques. After forming the null hypothesis, the researchers would form an alternate hypothesis stating the nature of the difference, if it should appear. The alternate hypothesis would be that there is a difference in mean functional outcome between these techniques. At the end of the study, the null hypothesis is then tested statistically. If the findings of the study are not statistically significant (i.e., there is no difference in functional outcome between the groups in a statistical sense), we cannot reject the null hypothesis, whereas if the findings were significant, we can reject the null hypothesis and accept the alternate hypothesis (i.e., there is a difference in mean functional outcome between the study groups), errors in testing notwithstanding. In other words, hypothesis testing confirms or refutes the statement that the observed findings did not occur by chance alone but rather occurred because there was a true difference in outcomes between these surgical procedures. The concept of statistical hypothesis testing is complex, and the details are beyond the scope of this article.

Another important concept inherent in hypothesis testing is whether the hypotheses will be 1-sided or 2-sided. A 2-sided hypothesis states that there is a difference between the experimental group and the control group, but it does not specify in advance the expected direction of the difference. For example, we asked whether there is there an improvement in outcomes with computer-assisted surgery or whether the outcomes worse with computer-assisted surgery. We presented a 2-sided test in the above example because we did not specify the direction of the difference. A 1-sided hypothesis states a specific direction (e.g., there is an improvement in outcomes with computer-assisted surgery). A 2-sided hypothesis should be used unless there is a good justification for using a 1-sided hypothesis. As Bland and Atlman 8 stated, “One-sided hypothesis testing should never be used as a device to make a conventionally nonsignificant difference significant.”

The research hypothesis should be stated at the beginning of the study to guide the objectives for research. Whereas the investigators may state the hypothesis as being 1-sided (there is an improvement with treatment), the study and investigators must adhere to the concept of clinical equipoise. According to this principle, a clinical (or surgical) trial is ethical only if the expert community is uncertain about the relative therapeutic merits of the experimental and control groups being evaluated. 9 It means there must exist an honest and professional disagreement among expert clinicians about the preferred treatment. 9

Designing a research hypothesis is supported by a good research question and will influence the type of research design for the study. Acting on the principles of appropriate hypothesis development, the study can then confidently proceed to the development of the research objective.

Research objective

The primary objective should be coupled with the hypothesis of the study. Study objectives define the specific aims of the study and should be clearly stated in the introduction of the research protocol. 7 From our previous example and using the investigative hypothesis that there is a difference in functional outcomes between computer-assisted acetabular component placement and free-hand placement, the primary objective can be stated as follows: this study will compare the functional outcomes of computer-assisted acetabular component insertion versus free-hand placement in patients undergoing total hip arthroplasty. Note that the study objective is an active statement about how the study is going to answer the specific research question. Objectives can (and often do) state exactly which outcome measures are going to be used within their statements. They are important because they not only help guide the development of the protocol and design of study but also play a role in sample size calculations and determining the power of the study. 7 These concepts will be discussed in other articles in this series.

From the surgeon’s point of view, it is important for the study objectives to be focused on outcomes that are important to patients and clinically relevant. For example, the most methodologically sound randomized controlled trial comparing 2 techniques of distal radial fixation would have little or no clinical impact if the primary objective was to determine the effect of treatment A as compared to treatment B on intraoperative fluoroscopy time. However, if the objective was to determine the effect of treatment A as compared to treatment B on patient functional outcome at 1 year, this would have a much more significant impact on clinical decision-making. Second, more meaningful surgeon–patient discussions could ensue, incorporating patient values and preferences with the results from this study. 6 , 7 It is the precise objective and what the investigator is trying to measure that is of clinical relevance in the practical setting.

The following is an example from the literature about the relation between the research question, hypothesis and study objectives:

Study: Warden SJ, Metcalf BR, Kiss ZS, et al. Low-intensity pulsed ultrasound for chronic patellar tendinopathy: a randomized, double-blind, placebo-controlled trial. Rheumatology 2008;47:467–71.

Research question: How does low-intensity pulsed ultrasound (LIPUS) compare with a placebo device in managing the symptoms of skeletally mature patients with patellar tendinopathy?

Research hypothesis: Pain levels are reduced in patients who receive daily active-LIPUS (treatment) for 12 weeks compared with individuals who receive inactive-LIPUS (placebo).

Objective: To investigate the clinical efficacy of LIPUS in the management of patellar tendinopathy symptoms.

The development of the research question is the most important aspect of a research project. A research project can fail if the objectives and hypothesis are poorly focused and underdeveloped. Useful tips for surgical researchers are provided in Box 3 . Designing and developing an appropriate and relevant research question, hypothesis and objectives can be a difficult task. The critical appraisal of the research question used in a study is vital to the application of the findings to clinical practice. Focusing resources, time and dedication to these 3 very important tasks will help to guide a successful research project, influence interpretation of the results and affect future publication efforts.

Tips for developing research questions, hypotheses and objectives for research studies

• Perform a systematic literature review (if one has not been done) to increase knowledge and familiarity with the topic and to assist with research development.
• Learn about current trends and technological advances on the topic.
• Seek careful input from experts, mentors, colleagues and collaborators to refine your research question as this will aid in developing the research question and guide the research study.
• Use the FINER criteria in the development of the research question.
• Ensure that the research question follows PICOT format.
• Develop a research hypothesis from the research question.
• Develop clear and well-defined primary and secondary (if needed) objectives.
• Ensure that the research question and objectives are answerable, feasible and clinically relevant.

FINER = feasible, interesting, novel, ethical, relevant; PICOT = population (patients), intervention (for intervention studies only), comparison group, outcome of interest, time.

Competing interests: No funding was received in preparation of this paper. Dr. Bhandari was funded, in part, by a Canada Research Chair, McMaster University.

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What is Primary Research and How do I get Started?

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Primary research is any type of research that you collect yourself. Examples include surveys, interviews, observations, and ethnographic research. A good researcher knows how to use both primary and secondary sources in their writing and to integrate them in a cohesive fashion.

Conducting primary research is a useful skill to acquire as it can greatly supplement your research in secondary sources, such as journals, magazines, or books. You can also use it as the focus of your writing project. Primary research is an excellent skill to learn as it can be useful in a variety of settings including business, personal, and academic.

But I’m not an expert!

With some careful planning, primary research can be done by anyone, even students new to writing at the university level. The information provided on this page will help you get started.

What types of projects or activities benefit from primary research?

When you are working on a local problem that may not have been addressed before and little research is there to back it up.

When you are working on writing about a specific group of people or a specific person.

When you are working on a topic that is relatively new or original and few publications exist on the subject.

You can also use primary research to confirm or dispute national results with local trends.

What types of primary research can be done?

Many types of primary research exist. This guide is designed to provide you with an overview of primary research that is often done in writing classes.

Interviews: Interviews are one-on-one or small group question and answer sessions. Interviews will provide a lot of information from a small number of people and are useful when you want to get an expert or knowledgeable opinion on a subject.

Surveys: Surveys are a form of questioning that is more rigid than interviews and that involve larger groups of people. Surveys will provide a limited amount of information from a large group of people and are useful when you want to learn what a larger population thinks.

Observations: Observations involve taking organized notes about occurrences in the world. Observations provide you insight about specific people, events, or locales and are useful when you want to learn more about an event without the biased viewpoint of an interview.

Analysis: Analysis involves collecting data and organizing it in some fashion based on criteria you develop. They are useful when you want to find some trend or pattern. A type of analysis would be to record commercials on three major television networks and analyze gender roles.

Where do I start?

Consider the following questions when beginning to think about conducting primary research:

• What do I want to discover?
• How do I plan on discovering it? (This is called your research methods or methodology)
• Who am I going to talk to/observe/survey? (These people are called your subjects or participants)
• How am I going to be able to gain access to these groups or individuals?
• What are my biases about this topic?
• How can I make sure my biases are not reflected in my research methods?
• What do I expect to discover?

Everything you need to know about primary research

Last updated

28 February 2023

Reviewed by

Miroslav Damyanov

They might search existing research to find the data they need—a technique known as secondary research .

Alternatively, they might prefer to seek out the data they need independently. This is known as primary research.

Analyze your primary research

Bring your primary research together inside Dovetail and uncover actionable insights

• What is primary research?

During primary research, the researcher collects the information and data for a specific sample directly.

Types of primary research

Primary research can take several forms, depending on the type of information studied. Here are the four main types of primary research:

Observations

Focus groups

When conducting primary research, you can collect qualitative or quantitative data (or both).

Qualitative primary data collection provides a vast array of feedback or information about products and services. However, it may need to be interpreted before it is used to make important business decisions.

Quantitative primary data collection , on the other hand, involves looking at the numbers related to a specific product or service.

• What types of projects can benefit from primary research?

Data obtained from primary research may be more accurate than if it were obtained from previous data samples.

Primary research may be used for

Salary guides

Industry benchmarks

Government reports

Any information based on the current state of the target, including statistics related to current information

Scientific studies

Current market research

Crafting user-friendly products

Primary research can also be used to capture any type of sentiment that cannot be represented statistically, verbally, or through transcription. This may include tone of voice, for example. The researcher might want to find out if the subject sounds hesitant, uncertain, or unhappy.

• Methods for conducting primary research

Your methods for conducting primary research may vary based on the information you’re looking for and how you prefer to interact with your target market.

Surveys are a method to obtain direct information and feedback from the target audience. Depending on the target market’s specific needs, they can be conducted over the phone, online, or face-to-face.

Observation

In some cases, primary research will involve watching the behaviors of consumers or members of the target audience.

Communication with members of the target audience who can share direct information and feedback about products and services.

Test marketing

Explore customer response to a product or marketing campaign before a wider release.

Competitor visits

Competitor visits allow you to check out what competitors have to offer to get a better feel for how they interact with their target markets. This approach can help you better understand what the market might be looking for.

This involves bringing a group of people together to discuss a specific product or need within the industry. This approach could help provide essential insights into the needs of that market.

Usability testing

Usability testing allows you to evaluate a product’s usability when you launch a live prototype. You might recruit representative users to perform tasks while you observe, ask questions, and take notes on how they use your product.

• When to conduct primary research

Primary research is needed when you want first-hand information about your product, service, or target market. There are several circumstances where primary research may be the best strategy for getting the information you need.

You might use it to:

Understand pricing information, including what price points customers are likely to purchase at. 

Get insight into your sales process. For example, you might look at screenshots of a sales demo, listen to audio recordings of the sales process, or evaluate key details and descriptions. 

Learn about problems your consumers might be having and how your business can solve them.

Gauge how a company feels about its competitors. For example, you might want to ask an e-tailer if they plan to offer free shipping to compete with Amazon, Walmart, and other major retailers.

• How to get started with primary research

Step one: Define the problem you’re trying to answer. Clearly identify what you want to know and why it’s important. Does the customer want you to perform the “usual?” This is often the case if they are new, inexperienced, or simply too busy and want to have the task taken care of.

Step two: Determine the best method for getting those answers. Do you need quantitative data , which can be measured in multiple-choice surveys? Or do you need more detailed qualitative data , which may require focus groups or interviews?

Step three: Select your target. Where will you conduct your primary research? You may already have a focus group available; for example, a social media group where people already gather to discuss your brand.

Step four: Compile your questions or define your method. Clearly set out what information you need and how you plan to gather it.

Step five: Research!

• Advantages of primary research

Primary research offers a number of potential advantages. Most importantly, it offers you information that you can’t get elsewhere.

It provides you with direct information from consumers who are already members of your target market or using your products.

You are able to get feedback directly from your target audience, which can allow you to immediately improve products or services and provide better support to your target market.

Primary data is current. Secondary sources may contain outdated data.

Primary data is reliable. You will know what methods you used and how the data relates to your research because you collected it yourself.

• Disadvantages of primary research

You might decide primary research isn’t the best option for your research project when you consider the disadvantages.

Primary research can be time-consuming. You will have to put in the time to collect data yourself, meaning the research may take longer to complete.

Primary research may be more expensive to conduct if it involves face-to-face interactions with your target audience, subscriptions for insight platforms, or participant remuneration.

The people you engage with for your research may feel disrupted by information-gathering methods, so you may not be able to use the same focus group every time you conduct that research.

It can be difficult to gather accurate information from a small group of people, especially if you deliberately select a focus group made up of existing customers. 

You may have a hard time accessing people who are not already members of your customer base.

Biased surveys can be a challenge. Researchers may, for example, inadvertently structure questions to encourage participants to respond in a particular way. Questions may also be too confusing or complex for participants to answer accurately.

Despite the researcher’s best efforts, participants don’t always take studies seriously. They may provide inaccurate or irrelevant answers to survey questions, significantly impacting any conclusions you reach. Therefore, researchers must take extra caution when examining results.

Conducting primary research can help you get a closer look at what is really going on with your target market and how they are using your product. That research can then inform your efforts to improve your services and products.

What is primary research, and why is it important?

Primary research is a research method that allows researchers to directly collect information for their use. It can provide more accurate insights into the target audience and market information companies really need.

What are primary research sources?

Primary research sources may include surveys, interviews, visits to competitors, or focus groups.

What is the best method of primary research?

The best method of primary research depends on the type of information you are gathering. If you need qualitative information, you may want to hold focus groups or interviews. On the other hand, if you need quantitative data, you may benefit from conducting surveys with your target audience.

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