questions to ask about research methodology

90 Questions to Ask a Researcher

Embarking on a journey to unravel the mysteries of research can be both exhilarating and daunting. Whether you’re a budding scholar, a curious journalist, or simply an individual with a thirst for knowledge, probing the minds of those at the forefront of discovery can provide invaluable insights.

This article offers an array of thought-provoking questions meticulously crafted to delve deep into the essence of research.

Table of Contents

Understanding Research Objectives

• What inspired the research question you’re exploring?
• Can you briefly describe the main goal of your research?
• How does your research fit within the broader field of study?
• Who are the intended beneficiaries of your research findings?
• Did the initial objectives evolve as the research progressed?
• How do you ensure your research objectives are achievable?
• What is the scope of your research?
• How did you narrow down your research questions?
• What significant problem does your research seek to address?
• What are the anticipated outcomes of your research?
• How do you prioritize different research objectives?
• What hypotheses are you testing in your research?
• Can you clarify any terms specific to your research objectives?
• How do your research objectives align with current trends in the field?
• What challenges did you face in defining your research objectives?

Exploring Methodology and Design

• What research methodology did you choose, and why?
• How did you ensure the reliability and validity of your methods?
• Can you explain the process of data collection in your research?
• Did you encounter any obstacles in your research design?
• How did your methodology affect the interpretation of results?
• What tools or technologies did you use in your research?
• How did you address potential biases in your research design?
• What criteria did you use for selecting your study sample?
• How do you manage the ethical considerations in your research?
• What measures did you take to ensure data security and privacy?
• How is your approach different from existing methodologies?
• Did you require any special approvals for your research methods?
• How do you keep your methodology transparent and replicable?
• Have you piloted your research design, and what were the results?
• Can you walk me through the timeline of the research process?

Discussing Findings and Interpretations

• What are the key findings of your research?
• Were there any surprising results you encountered?
• How do your findings contribute to the field?
• What do you believe is the reason behind these outcomes?
• How do your results compare to those of similar studies?
• What limitations should we consider when interpreting your findings?
• Can you discuss any patterns or trends revealed in your research?
• How might your findings influence future research?
• How robust are your findings to different analytical methods?
• Were any of your hypotheses not supported by the data?
• How do you plan to share and publish your findings?
• What is the potential for real-world application of your research?
• How do you validate the interpretations of your data?
• In what ways have you engaged with other researchers about your findings?
• What follow-up studies would you suggest based on your results?

Assessing Impact and Relevance

• How does your research address societal or environmental needs?
• In what ways could your research potentially affect industry practices?
• What long-term changes do you hope your research will inspire?
• How relevant is your research in today’s context?
• What is the envisioned impact on policy or public discourse?
• How do you gauge the success of your research’s impact?
• Who are the stakeholders most interested in your research?
• How do you disseminate your research to maximize impact?
• Can your research findings be generalized across different contexts?
• What collaborations did you form to enhance the impact of your research?
• How do you measure the social return on investment for your research?
• What has been the feedback from the community affected by your research?
• How has your research contributed to advancements in technology or science?
• What part of your research do you think will have the greatest impact?
• Are there any unintended consequences that may arise from your research?

Evaluating Credibility and Ethics

• How do you ensure the credibility of your research findings?
• What kind of peer review or scrutiny has your research undergone?
• Have you published in open-access journals or other accessible platforms?
• Can you explain the ethical considerations relevant to your research?
• How would you address any conflicts of interest in your work?
• How do you ensure that your research benefits are shared fairly?
• What steps do you take to maintain transparency in your research?
• How have you dealt with any ethical dilemmas during your study?
• In what ways do you work to maintain participant confidentiality?
• Can you discuss the ethical governance of your research project?
• What safeguards are in place for the ethical use of data?
• How does your research comply with legal and regulatory standards?
• Are there any socio-cultural sensitivities you had to consider in your research?
• How might your research confront or challenge ethical norms?
• What is your approach to obtaining informed consent?

Personal Insights and Journey in Research

• What inspired you to become a researcher in your field?
• Can you share a pivotal moment in your research career?
• How do you stay motivated when facing research challenges?
• What are the most rewarding aspects of conducting research?
• How do you balance personal biases and professional objectivity?
• What lessons have you learned from your time in research?
• How do you approach collaborative research projects?
• What are your top strategies for overcoming research obstacles?
• Can you describe a significant breakthrough you had in your research?
• How do you keep up-to-date with advancements in your field?
• What advice would you give to aspiring researchers?
• Can you share a mistake you made and how you addressed it?
• What has been the most unexpected turn in your research journey?
• How do you handle skepticism or criticism of your research?
• What personal qualities do you think are essential for a successful researcher?

Frequently Asked Questions

Why is it important to ask about a researcher’s personal insights.

Learning about a researcher’s personal insights provides context that enriches your understanding of their work. It can reveal the human element behind the research, including motivation, challenges, and the passion driving their inquiries.

How can I probe into the relevance and real-world application of research?

Ask direct questions about how the research tackles contemporary issues, its societal benefits, and its potential for practical application. Discussing envisioned impacts on policy or technology can also highlight the research’s real-world significance.

Final Thoughts

Beyond the data and analysis, these conversations are a portal into the multifaceted world of research – a blend of empirical rigor, ethical considerations, and personal dedication.

May these engaging inquiries lead you to profound discoveries and a deeper appreciation for the painstaking yet rewarding odyssey that researchers embark upon to advance human knowledge.

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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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How To Write a Research Question

Academic writing and research require a distinct focus and direction. A well-designed research question gives purpose and clarity to your research. In addition, it helps your readers understand the issue you are trying to address and explore.

Every time you want to know more about a subject, you will pose a question. The same idea is used in research as well. You must pose a question in order to effectively address a research problem. That's why the research question is an integral part of the research process. Additionally, it offers the author writing and reading guidelines, be it qualitative research or quantitative research.

In your research paper , you must single out just one issue or problem. The specific issue or claim you wish to address should be included in your thesis statement in order to clarify your main argument.

A good research question must have the following characteristics.

• Should include only one problem in the research question
• Should be able to find the answer using primary data and secondary data sources
• Should be possible to resolve within the given time and other constraints
• Detailed and in-depth results should be achievable
• Should be relevant and realistic.
• It should relate to your chosen area of research

While a larger project, like a thesis, might have several research questions to address, each one should be directed at your main area of study. Of course, you can use different research designs and research methods (qualitative research or quantitative research) to address various research questions. However, they must all be pertinent to the study's objectives.

What is a Research Question?

A research question is an inquiry that the research attempts to answer. It is the heart of the systematic investigation. Research questions are the most important step in any research project. In essence, it initiates the research project and establishes the pace for the specific research A research question is:

• Clear : It provides enough detail that the audience understands its purpose without any additional explanation.
• Focused : It is so specific that it can be addressed within the time constraints of the writing task.
• Succinct: It is written in the shortest possible words.
• Complex : It is not possible to answer it with a "yes" or "no", but requires analysis and synthesis of ideas before somebody can create a solution.
• Argumental : Its potential answers are open for debate rather than accepted facts.

A good research question usually focuses on the research and determines the research design, methodology, and hypothesis. It guides all phases of inquiry, data collection, analysis, and reporting. You should gather valuable information by asking the right questions.

Why are Research Questions so important?

Regardless of whether it is a qualitative research or quantitative research project, research questions provide writers and their audience with a way to navigate the writing and research process. Writers can avoid "all-about" papers by asking straightforward and specific research questions that help them focus on their research and support a specific thesis.

Types of Research Questions

There are two types of research: Qualitative research and Quantitative research . There must be research questions for every type of research. Your research question will be based on the type of research you want to conduct and the type of data collection.

The first step in designing research involves identifying a gap and creating a focused research question.

Below is a list of common research questions that can be used in a dissertation. Keep in mind that these are merely illustrations of typical research questions used in dissertation projects. The real research questions themselves might be more difficult.

Example Research Questions

The following are a few examples of research questions and research problems to help you understand how research questions can be created for a particular research problem.

Steps to Write Research Questions

You can focus on the issue or research gaps you're attempting to solve by using the research questions as a direction.

If you're unsure how to go about writing a good research question, these are the steps to follow in the process:

• Select an interesting topic Always choose a topic that interests you. Because if your curiosity isn’t aroused by a subject, you’ll have a hard time conducting research around it. Alos, it’s better that you pick something that’s neither too narrow or too broad.
• Do preliminary research on the topic Search for relevant literature to gauge what problems have already been tackled by scholars. You can do that conveniently through repositories like Scispace , where you’ll find millions of papers in one place. Once you do find the papers you’re looking for, try our reading assistant, SciSpace Copilot to get simple explanations for the paper . You’ll be able to quickly understand the abstract, find the key takeaways, and the main arguments presented in the paper. This will give you a more contextual understanding of your subject and you’ll have an easier time identifying knowledge gaps in your discipline.

     Also: ChatPDF vs. SciSpace Copilot: Unveiling the best tool for your research

• Consider your audience It is essential to understand your audience to develop focused research questions for essays or dissertations. When narrowing down your topic, you can identify aspects that might interest your audience.
• Ask questions Asking questions will give you a deeper understanding of the topic. Evaluate your question through the What, Why, When, How, and other open-ended questions assessment.
• Assess your question Once you have created a research question, assess its effectiveness to determine if it is useful for the purpose. Refine and revise the dissertation research question multiple times.

Additionally, use this list of questions as a guide when formulating your research question.

Are you able to answer a specific research question? After identifying a gap in research, it would be helpful to formulate the research question. And this will allow the research to solve a part of the problem. Is your research question clear and centered on the main topic? It is important that your research question should be specific and related to your central goal. Are you tackling a difficult research question? It is not possible to answer the research question with a simple yes or no. The problem requires in-depth analysis. It is often started with "How" and "Why."

Start your research Once you have completed your dissertation research questions, it is time to review the literature on similar topics to discover different perspectives.

Strong  Research Question Samples

Uncertain: How should social networking sites work on the hatred that flows through their platform?

Certain: What should social media sites like Twitter or Facebook do to address the harm they are causing?

This unclear question does not specify the social networking sites that are being used or what harm they might be causing. In addition, this question assumes that the "harm" has been proven and/or accepted. This version is more specific and identifies the sites (Twitter, Facebook), the type and extent of harm (privacy concerns), and who might be suffering from that harm (users). Effective research questions should not be ambiguous or interpreted.

Unfocused: What are the effects of global warming on the environment?

Focused: What are the most important effects of glacial melting in Antarctica on penguins' lives?

This broad research question cannot be addressed in a book, let alone a college-level paper. Focused research targets a specific effect of global heating (glacial  melting), an area (Antarctica), or a specific animal (penguins). The writer must also decide which effect will have the greatest impact on the animals affected. If in doubt, narrow down your research question to the most specific possible.

Too Simple: What are the U.S. doctors doing to treat diabetes?

Appropriately complex: Which factors, if any, are most likely to predict a person's risk of developing diabetes?

This simple version can be found online. It is easy to answer with a few facts. The second, more complicated version of this question is divided into two parts. It is thought-provoking and requires extensive investigation as well as evaluation by the author. So, ensure that a quick Google search should not answer your research question.

How to write a strong Research Question?

The foundation of all research is the research question. You should therefore spend as much time as necessary to refine your research question based on various data.

You can conduct your research more efficiently and analyze your results better if you have great research questions for your dissertation, research paper , or essay .

The following criteria can help you evaluate the strength and importance of your research question and can be used to determine the strength of your research question:

• Researchable
• It should only cover one issue.
• A subjective judgment should not be included in the question.
• It can be answered with data analysis and research.
• Specific and Practical
• It should not contain a plan of action, policy, or solution.
• It should be clearly defined
• Within research limits
• Complex and Arguable
• It shouldn't be difficult to answer.
• To find the truth, you need in-depth knowledge
• Allows for discussion and deliberation
• Original and Relevant
• It should be in your area of study
• Its results should be measurable
• It should be original

Conclusion - How to write Research Questions?

Research questions provide a clear guideline for research. One research question may be part of a larger project, such as a dissertation. However, each question should only focus on one topic.

Research questions must be answerable, practical, specific, and applicable to your field. The research type that you use to base your research questions on will determine the research topic. You can start by selecting an interesting topic and doing preliminary research. Then, you can begin asking questions, evaluating your questions, and start your research.

Now it's easier than ever to streamline your research workflow with SciSpace ResearchGPT . Its integrated, comprehensive end-to-end platform for research allows scholars to easily discover, read, write and publish their research and fosters collaboration.

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Education Scholarship in Healthcare pp 41–50 Cite as

Designing a Research Question

• Ahmed Ibrahim 3 &
• Camille L. Bryant 3  
• First Online: 29 November 2023

360 Accesses

This chapter discusses (1) the important role of research questions for descriptive, predictive, and causal studies across the three research paradigms (i.e., quantitative, qualitative, and mixed methods); (2) characteristics of quality research questions, and (3) three frameworks to support the development of research questions and their dissemination within scholarly work. For the latter, a description of the P opulation/ P articipants, I ntervention/ I ndependent variable, C omparison, and O utcomes (PICO) framework for quantitative research as well as variations depending on the type of research is provided. Second, we discuss the P articipants, central Ph enomenon, T ime, and S pace (PPhTS) framework for qualitative research. The combination of these frameworks is discussed for mixed-methods research. Further, templates and examples are provided to support the novice health scholar in developing research questions for applied and theoretical studies. Finally, we discuss the Create a Research Space (CARS) model for introducing research questions as part of a research study, to demonstrate how scholars can apply their knowledge when disseminating research.

• Research purpose
• Research objective
• Question formation
• Research question
• PICO framework
• PPhTS framework

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Ibrahim, A., Bryant, C.L. (2023). Designing a Research Question. In: Fitzgerald, A.S., Bosch, G. (eds) Education Scholarship in Healthcare. Springer, Cham. https://doi.org/10.1007/978-3-031-38534-6_4

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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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Transitive and Intransitive Verbs in the World of Research

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What Is Research Methodology? A Plain-Language Explanation & Definition (With Examples)

By Derek Jansen (MBA)  and Kerryn Warren (PhD) | June 2020 (Last updated April 2023)

If you’re new to formal academic research, it’s quite likely that you’re feeling a little overwhelmed by all the technical lingo that gets thrown around. And who could blame you – “research methodology”, “research methods”, “sampling strategies”… it all seems never-ending!

In this post, we’ll demystify the landscape with plain-language explanations and loads of examples (including easy-to-follow videos), so that you can approach your dissertation, thesis or research project with confidence. Let’s get started.

Research Methodology 101

• What exactly research methodology means
• What qualitative , quantitative and mixed methods are
• What sampling strategy is
• What data collection methods are
• What data analysis methods are
• How to choose your research methodology
• Example of a research methodology

What is research methodology?

Research methodology simply refers to the practical “how” of a research study. More specifically, it’s about how  a researcher  systematically designs a study  to ensure valid and reliable results that address the research aims, objectives and research questions . Specifically, how the researcher went about deciding:

• What type of data to collect (e.g., qualitative or quantitative data )
• Who  to collect it from (i.e., the sampling strategy )
• How to  collect  it (i.e., the data collection method )
• How to  analyse  it (i.e., the data analysis methods )

Within any formal piece of academic research (be it a dissertation, thesis or journal article), you’ll find a research methodology chapter or section which covers the aspects mentioned above. Importantly, a good methodology chapter explains not just   what methodological choices were made, but also explains  why they were made. In other words, the methodology chapter should justify  the design choices, by showing that the chosen methods and techniques are the best fit for the research aims, objectives and research questions. 

So, it’s the same as research design?

Not quite. As we mentioned, research methodology refers to the collection of practical decisions regarding what data you’ll collect, from who, how you’ll collect it and how you’ll analyse it. Research design, on the other hand, is more about the overall strategy you’ll adopt in your study. For example, whether you’ll use an experimental design in which you manipulate one variable while controlling others. You can learn more about research design and the various design types here .

Need a helping hand?

What are qualitative, quantitative and mixed-methods?

Qualitative, quantitative and mixed-methods are different types of methodological approaches, distinguished by their focus on words , numbers or both . This is a bit of an oversimplification, but its a good starting point for understanding.

Let’s take a closer look.

Qualitative research refers to research which focuses on collecting and analysing words (written or spoken) and textual or visual data, whereas quantitative research focuses on measurement and testing using numerical data . Qualitative analysis can also focus on other “softer” data points, such as body language or visual elements.

It’s quite common for a qualitative methodology to be used when the research aims and research questions are exploratory  in nature. For example, a qualitative methodology might be used to understand peoples’ perceptions about an event that took place, or a political candidate running for president. 

Contrasted to this, a quantitative methodology is typically used when the research aims and research questions are confirmatory  in nature. For example, a quantitative methodology might be used to measure the relationship between two variables (e.g. personality type and likelihood to commit a crime) or to test a set of hypotheses .

As you’ve probably guessed, the mixed-method methodology attempts to combine the best of both qualitative and quantitative methodologies to integrate perspectives and create a rich picture. If you’d like to learn more about these three methodological approaches, be sure to watch our explainer video below.

What is sampling strategy?

Simply put, sampling is about deciding who (or where) you’re going to collect your data from . Why does this matter? Well, generally it’s not possible to collect data from every single person in your group of interest (this is called the “population”), so you’ll need to engage a smaller portion of that group that’s accessible and manageable (this is called the “sample”).

How you go about selecting the sample (i.e., your sampling strategy) will have a major impact on your study.  There are many different sampling methods  you can choose from, but the two overarching categories are probability   sampling and  non-probability   sampling .

Probability sampling  involves using a completely random sample from the group of people you’re interested in. This is comparable to throwing the names all potential participants into a hat, shaking it up, and picking out the “winners”. By using a completely random sample, you’ll minimise the risk of selection bias and the results of your study will be more generalisable  to the entire population. 

Non-probability sampling , on the other hand,  doesn’t use a random sample . For example, it might involve using a convenience sample, which means you’d only interview or survey people that you have access to (perhaps your friends, family or work colleagues), rather than a truly random sample. With non-probability sampling, the results are typically not generalisable .

To learn more about sampling methods, be sure to check out the video below.

What are data collection methods?

As the name suggests, data collection methods simply refers to the way in which you go about collecting the data for your study. Some of the most common data collection methods include:

• Interviews (which can be unstructured, semi-structured or structured)
• Focus groups and group interviews
• Surveys (online or physical surveys)
• Observations (watching and recording activities)
• Biophysical measurements (e.g., blood pressure, heart rate, etc.)
• Documents and records (e.g., financial reports, court records, etc.)

The choice of which data collection method to use depends on your overall research aims and research questions , as well as practicalities and resource constraints. For example, if your research is exploratory in nature, qualitative methods such as interviews and focus groups would likely be a good fit. Conversely, if your research aims to measure specific variables or test hypotheses, large-scale surveys that produce large volumes of numerical data would likely be a better fit.

What are data analysis methods?

Data analysis methods refer to the methods and techniques that you’ll use to make sense of your data. These can be grouped according to whether the research is qualitative  (words-based) or quantitative (numbers-based).

Popular data analysis methods in qualitative research include:

• Qualitative content analysis
• Thematic analysis
• Discourse analysis
• Narrative analysis
• Interpretative phenomenological analysis (IPA)
• Visual analysis (of photographs, videos, art, etc.)

Qualitative data analysis all begins with data coding , after which an analysis method is applied. In some cases, more than one analysis method is used, depending on the research aims and research questions . In the video below, we explore some  common qualitative analysis methods, along with practical examples.  

Moving on to the quantitative side of things, popular data analysis methods in this type of research include:

• Descriptive statistics (e.g. means, medians, modes )
• Inferential statistics (e.g. correlation, regression, structural equation modelling)

Again, the choice of which data collection method to use depends on your overall research aims and objectives , as well as practicalities and resource constraints. In the video below, we explain some core concepts central to quantitative analysis.

How do I choose a research methodology?

As you’ve probably picked up by now, your research aims and objectives have a major influence on the research methodology . So, the starting point for developing your research methodology is to take a step back and look at the big picture of your research, before you make methodology decisions. The first question you need to ask yourself is whether your research is exploratory or confirmatory in nature.

If your research aims and objectives are primarily exploratory in nature, your research will likely be qualitative and therefore you might consider qualitative data collection methods (e.g. interviews) and analysis methods (e.g. qualitative content analysis). 

Conversely, if your research aims and objective are looking to measure or test something (i.e. they’re confirmatory), then your research will quite likely be quantitative in nature, and you might consider quantitative data collection methods (e.g. surveys) and analyses (e.g. statistical analysis).

Designing your research and working out your methodology is a large topic, which we cover extensively on the blog . For now, however, the key takeaway is that you should always start with your research aims, objectives and research questions (the golden thread). Every methodological choice you make needs align with those three components. 

Example of a research methodology chapter

In the video below, we provide a detailed walkthrough of a research methodology from an actual dissertation, as well as an overview of our free methodology template .

Psst… there’s more (for free)

This post is part of our dissertation mini-course, which covers everything you need to get started with your dissertation, thesis or research project. 

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198 Comments

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Thanks for your comment.

We can’t write your methodology for you. If you’re looking for samples, you should be able to find some sample methodologies on Google. Alternatively, you can download some previous dissertations from a dissertation directory and have a look at the methodology chapters therein.

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MLA Jansen, Derek, and Kerryn Warren. “What (Exactly) Is Research Methodology?” Grad Coach, June 2021, gradcoach.com/what-is-research-methodology/.

APA Jansen, D., & Warren, K. (2021, June). What (Exactly) Is Research Methodology? Grad Coach. https://gradcoach.com/what-is-research-methodology/

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100 Questions (and Answers) About Qualitative Research

• Lisa M. Given - Swinburne University, Australia, Charles Sturt University, Australia, RMIT University, Melbourne, Australia

“This is a great companion book for a course on qualitative methods and it is also a great resource as a ‘ready-reference,’ which should be a required companion for all graduate students who will be taking qualitative research methods.”

“It provides an overview of the subject on the nuances of qualitative research.”

“ Very precise in helping students determine if their study is appropriate for this type of research design.”

“The book appears to provide the right combination of breadth and depth . There are a lot of topics covered, but the book seems to provide a succinct, snapshot-like answer for each question.”

“A book like this can provide a useful supplement to major texts and be used as a reference.”

Lisa M. Given

5 key questions to help you choose a research methodology

This simplified approach to choosing the right methodology uses five questions to guide researchers in determining whether to opt for secondary, qualitative or quantitative research and emphasizes the importance of aligning the chosen method with the target audience and research goals.

Plotting your next move

David Lyndon is head of operations at Reputation Leaders Ltd. He can be reached at [email protected] .

Here at our firm, our team was recently asked to recommend a research approach by a client without previous research experience. Our conversations revolved around five key questions and eventually turned into the accompanying flowchart. Use these five questions to simplify the research methodology decision-making:

• Has the same research already been done?
• How hard is it to reach my target respondents?
• What sort of answers do I need?
• Are my respondents in one specific location?
• How reactive does the research need to be as it continues?

Doubtless, each situation will need more thought than the simple diagram shown in the flowchart but I hope that common sense can fill in the gaps.

If you’re in the same situation as our stick figure in the flowchart – wanting to do some research but uncertain of the best methodology – work through the questions in the flowchart and see if the resulting strategy makes sense. (Perhaps it’s more than one!)

Principles should be clear  

This is a broad-brushstroke look at reasons to use different research methodologies and why you might choose one over the other but the principles should be clear.

The proper methodology is found at the intersection of who you want to talk to and what you want to know. The five questions, asked in the right way, can guide your decision-making. 

We’ve explained more about each methodology below and how the answers to the five questions can cause you to choose them.

Secondary research. Secondary research takes many forms but primarily consists of finding and reading what other researchers have already done. Using the internet, what used to take weeks can be completed in minutes. Academic reviews, social media searches and basic web searches can quickly tell you if someone else has already answered your questions or gathered the data to allow you to do so.

Choose this type of research if you know the work’s already been done. If you’re not sure, take the time to do some secondary research and find out. It may save you weeks of effort and thousands of dollars.

After this review, you can think about some primary research if there are still unanswered questions or if the available data is out of date.

Primary research.  Necessary when you need to get data that is not readily available, primary research is usually more demanding, more prolonged and more expensive than secondary research. However, it can be much more valuable. Primary research is often split into two types – qualitative and quantitative.

Qualitative research. Qualitative research is descriptive rather than definitive. Digging deeper into experiences, reasons and opinions, qualitative researchers use observation and conversation to understand the answers to questions like why and how.

In-depth one-on-one interviews

In-depth interviews allow researchers to dig deep into a topic with a few people. We often use these to reach experts who can bring their experience and observations to bear on complex subjects that only a few people understand.

We choose in-depth interviews when the people who can answer our questions are hard to reach. Because of their expertise, their time is valuable, so scheduling interviews and compensating these individuals takes effort and money.  

We often use in-depth interviews to talk to CEOs in specific industries, members of think tanks or political policy experts.

In-person focus groups

Focus groups are a tried and proven method if you need to explore a particular topic and discover ideas you’ve not yet considered. Get a small number of people (six-to-10) in the same room and have a guided conversation. The strength of focus groups is when different members connect and spark new avenues to explore. Multiple groups with different demographics or opinions round out the results.

A well-moderated focus group is an excellent choice if you can gather these people in one place and want to dig into the why and how of a subject. There’s also a chance to do some small quantitative exercises and ask about who, what, where, when and how much, but the small number of responses means these results are guidelines at best.

Online focus groups

If you want the benefits of focus groups but can’t gather everyone in one place, don’t despair. Online focus groups have come of age. Either chat-based or video-based groups can work. Chat-based groups can even be better when discussing emotionally challenging topics to help respondents feel free to share without having to face other people.

These groups still aim to understand a subject’s why and how and need experienced moderators. Polls and ranking exercises can also add quantitative data but the small number of responses still means these results are guidelines at best.

Online communities

Unlike focus groups, online communities run asynchronously and last for days or weeks. Think of online communities like a temporary Facebook group with message boards, comments, polls, photos, videos and almost anything else you can imagine, guided by your research questions.

Because participants don’t all need to be online simultaneously, you can include many more people than a focus group. We’ve done communities as small as 12 people and as large as 200.

And with the extended time frame, you have time to think about what you want to ask and adjust as time goes on or dig into particular topics with subgroups. Online communities are one of the most agile forms of research. They are mainly used like focus groups to explore subjects qualitatively but can also be large enough to achieve quantitative results.

Quantitative research . You need to do quantitative research if you’re trying to prove a hypothesis or get statistics to drive PR and media headlines. This is all about the numbers, but unlike qualitative research, you only really get out what you put in. If you forget to include a question, there’s no chance to correct it. Quantitative researchers use predefined answer choices to answer who, what, when and where. This type of data then allows for analyses like segmentation, driver and principal components.

Basic online consumer surveys

If you want to know what general consumers in your market think and do, an online survey is quick, simple and cost-effective. You can ask a lot of single-choice or multiple-choice questions and gather hundreds of data points in a matter of hours or days.

Even better, if you’re reaching people across different languages, you can translate your survey into their language but get the answers back in your language. Truly global research is possible for everyone.

Whereas phone-based research used to be preferable, with internet penetration rising and well over 90% in places like the U.K. and the U.S., you can easily reach a representative sample. Good screeners, quotas and weighting strategies also minimize natural bias.

Advanced online consumer surveys

If simple answers to closed-end questions can’t meet your needs but you still need to reach many people across languages, geographies and the social spectrum, more advanced online survey options exist.

You can incorporate video, audio, interactive communications, gamification, message highlighting and other next-gen tools into a laptop or mobile-device survey. Find out what people look at in stores, what they hate about your planned advertisement or what draws their attention when they see your new website.

Setting up an online survey experience like this can be a lot of work but the results can be invaluable.

Online specialist surveys

Sometimes your target audience is smaller and more defined. Perhaps you’re trying to reach decision-makers in companies using AI or part-time workers who spend their spare time making YouTube videos. These niche audiences can usually be found in a specialist panel. They are more expensive to reach because the panel company must spend more to attract and engage them and you won’t be able to reach as many of them as general consumers. Still, you can get robust data from specialist groups worldwide through online surveys.

In other cases, you might have access to your audience yourself. They might be your customers or your employees. Perhaps there’s a hybrid approach, where you get some of your audience from a panel and some from your own database. You can set up an online survey and do quantitative research with this audience in these cases.

On-location surveys

Sometimes there’s no better way to reach your audience and find out what they think than to go to them in person. Whether you’re finding shoppers at the mall, workers in a factory or voters outside the polls, going and doing the research on-site is a guaranteed way to gather your data.

Interviewers can ask respondents to take a survey on a dedicated iPad, snap a QR code to take the survey on their own device or talk the respondent through the survey and record the answers.

This is slower and more time-intensive than reaching people online but it can be the best alternative when the target audience is difficult to reach and their usual location is known.

Navigate the maze of choices

Selecting the right research methodology is a crucial step in any research endeavor. The five key questions outlined in the flowchart serve as a valuable compass, helping you navigate through the maze of choices and ultimately guiding you to the methodology that best suits your objectives. While the decision-making process may often require additional consideration and nuance, the principles remain clear: your choice should be at the intersection of your target audience and your research goals. Whether you opt for secondary research to leverage existing knowledge, delve into qualitative research for deeper insights or harness the power of quantitative research for statistical validation, the method should align with your unique circumstances. Furthermore, the emergence of online tools and communities has expanded the horizons of research possibilities, offering flexibility and scalability. So, remember to weigh the options carefully, use these questions as your guide and embark on your research journey with confidence, knowing that the right methodology is within your reach. 

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Methodology

• Questionnaire Design | Methods, Question Types & Examples

Questionnaire Design | Methods, Question Types & Examples

Published on July 15, 2021 by Pritha Bhandari . Revised on June 22, 2023.

A questionnaire is a list of questions or items used to gather data from respondents about their attitudes, experiences, or opinions. Questionnaires can be used to collect quantitative and/or qualitative information.

Questionnaires are commonly used in market research as well as in the social and health sciences. For example, a company may ask for feedback about a recent customer service experience, or psychology researchers may investigate health risk perceptions using questionnaires.

Table of contents

Questionnaires vs. surveys, questionnaire methods, open-ended vs. closed-ended questions, question wording, question order, step-by-step guide to design, other interesting articles, frequently asked questions about questionnaire design.

A survey is a research method where you collect and analyze data from a group of people. A questionnaire is a specific tool or instrument for collecting the data.

Designing a questionnaire means creating valid and reliable questions that address your research objectives , placing them in a useful order, and selecting an appropriate method for administration.

But designing a questionnaire is only one component of survey research. Survey research also involves defining the population you’re interested in, choosing an appropriate sampling method , administering questionnaires, data cleansing and analysis, and interpretation.

Sampling is important in survey research because you’ll often aim to generalize your results to the population. Gather data from a sample that represents the range of views in the population for externally valid results. There will always be some differences between the population and the sample, but minimizing these will help you avoid several types of research bias , including sampling bias , ascertainment bias , and undercoverage bias .

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Questionnaires can be self-administered or researcher-administered . Self-administered questionnaires are more common because they are easy to implement and inexpensive, but researcher-administered questionnaires allow deeper insights.

Self-administered questionnaires

Self-administered questionnaires can be delivered online or in paper-and-pen formats, in person or through mail. All questions are standardized so that all respondents receive the same questions with identical wording.

Self-administered questionnaires can be:

• cost-effective
• easy to administer for small and large groups
• anonymous and suitable for sensitive topics

But they may also be:

• unsuitable for people with limited literacy or verbal skills
• susceptible to a nonresponse bias (most people invited may not complete the questionnaire)
• biased towards people who volunteer because impersonal survey requests often go ignored.

Researcher-administered questionnaires

Researcher-administered questionnaires are interviews that take place by phone, in-person, or online between researchers and respondents.

Researcher-administered questionnaires can:

• help you ensure the respondents are representative of your target audience
• allow clarifications of ambiguous or unclear questions and answers
• have high response rates because it’s harder to refuse an interview when personal attention is given to respondents

But researcher-administered questionnaires can be limiting in terms of resources. They are:

• costly and time-consuming to perform
• more difficult to analyze if you have qualitative responses
• likely to contain experimenter bias or demand characteristics
• likely to encourage social desirability bias in responses because of a lack of anonymity

Your questionnaire can include open-ended or closed-ended questions or a combination of both.

Using closed-ended questions limits your responses, while open-ended questions enable a broad range of answers. You’ll need to balance these considerations with your available time and resources.

Closed-ended questions

Closed-ended, or restricted-choice, questions offer respondents a fixed set of choices to select from. Closed-ended questions are best for collecting data on categorical or quantitative variables.

Categorical variables can be nominal or ordinal. Quantitative variables can be interval or ratio. Understanding the type of variable and level of measurement means you can perform appropriate statistical analyses for generalizable results.

Examples of closed-ended questions for different variables

Nominal variables include categories that can’t be ranked, such as race or ethnicity. This includes binary or dichotomous categories.

It’s best to include categories that cover all possible answers and are mutually exclusive. There should be no overlap between response items.

In binary or dichotomous questions, you’ll give respondents only two options to choose from.

White Black or African American American Indian or Alaska Native Asian Native Hawaiian or Other Pacific Islander

Ordinal variables include categories that can be ranked. Consider how wide or narrow a range you’ll include in your response items, and their relevance to your respondents.

Likert scale questions collect ordinal data using rating scales with 5 or 7 points.

When you have four or more Likert-type questions, you can treat the composite data as quantitative data on an interval scale . Intelligence tests, psychological scales, and personality inventories use multiple Likert-type questions to collect interval data.

With interval or ratio scales , you can apply strong statistical hypothesis tests to address your research aims.

Pros and cons of closed-ended questions

Well-designed closed-ended questions are easy to understand and can be answered quickly. However, you might still miss important answers that are relevant to respondents. An incomplete set of response items may force some respondents to pick the closest alternative to their true answer. These types of questions may also miss out on valuable detail.

To solve these problems, you can make questions partially closed-ended, and include an open-ended option where respondents can fill in their own answer.

Open-ended questions

Open-ended, or long-form, questions allow respondents to give answers in their own words. Because there are no restrictions on their choices, respondents can answer in ways that researchers may not have otherwise considered. For example, respondents may want to answer “multiracial” for the question on race rather than selecting from a restricted list.

• How do you feel about open science?
• How would you describe your personality?
• In your opinion, what is the biggest obstacle for productivity in remote work?

Open-ended questions have a few downsides.

They require more time and effort from respondents, which may deter them from completing the questionnaire.

For researchers, understanding and summarizing responses to these questions can take a lot of time and resources. You’ll need to develop a systematic coding scheme to categorize answers, and you may also need to involve other researchers in data analysis for high reliability .

Question wording can influence your respondents’ answers, especially if the language is unclear, ambiguous, or biased. Good questions need to be understood by all respondents in the same way ( reliable ) and measure exactly what you’re interested in ( valid ).

Use clear language

You should design questions with your target audience in mind. Consider their familiarity with your questionnaire topics and language and tailor your questions to them.

For readability and clarity, avoid jargon or overly complex language. Don’t use double negatives because they can be harder to understand.

Use balanced framing

Respondents often answer in different ways depending on the question framing. Positive frames are interpreted as more neutral than negative frames and may encourage more socially desirable answers.

Use a mix of both positive and negative frames to avoid research bias , and ensure that your question wording is balanced wherever possible.

Unbalanced questions focus on only one side of an argument. Respondents may be less likely to oppose the question if it is framed in a particular direction. It’s best practice to provide a counter argument within the question as well.

Avoid leading questions

Leading questions guide respondents towards answering in specific ways, even if that’s not how they truly feel, by explicitly or implicitly providing them with extra information.

It’s best to keep your questions short and specific to your topic of interest.

• The average daily work commute in the US takes 54.2 minutes and costs $29 per day. Since 2020, working from home has saved many employees time and money. Do you favor flexible work-from-home policies even after it’s safe to return to offices?
• Experts agree that a well-balanced diet provides sufficient vitamins and minerals, and multivitamins and supplements are not necessary or effective. Do you agree or disagree that multivitamins are helpful for balanced nutrition?

Keep your questions focused

Ask about only one idea at a time and avoid double-barreled questions. Double-barreled questions ask about more than one item at a time, which can confuse respondents.

This question could be difficult to answer for respondents who feel strongly about the right to clean drinking water but not high-speed internet. They might only answer about the topic they feel passionate about or provide a neutral answer instead – but neither of these options capture their true answers.

Instead, you should ask two separate questions to gauge respondents’ opinions.

Strongly Agree Agree Undecided Disagree Strongly Disagree

Do you agree or disagree that the government should be responsible for providing high-speed internet to everyone?

You can organize the questions logically, with a clear progression from simple to complex. Alternatively, you can randomize the question order between respondents.

Logical flow

Using a logical flow to your question order means starting with simple questions, such as behavioral or opinion questions, and ending with more complex, sensitive, or controversial questions.

The question order that you use can significantly affect the responses by priming them in specific directions. Question order effects, or context effects, occur when earlier questions influence the responses to later questions, reducing the validity of your questionnaire.

While demographic questions are usually unaffected by order effects, questions about opinions and attitudes are more susceptible to them.

• How knowledgeable are you about Joe Biden’s executive orders in his first 100 days?
• Are you satisfied or dissatisfied with the way Joe Biden is managing the economy?
• Do you approve or disapprove of the way Joe Biden is handling his job as president?

It’s important to minimize order effects because they can be a source of systematic error or bias in your study.

Randomization

Randomization involves presenting individual respondents with the same questionnaire but with different question orders.

When you use randomization, order effects will be minimized in your dataset. But a randomized order may also make it harder for respondents to process your questionnaire. Some questions may need more cognitive effort, while others are easier to answer, so a random order could require more time or mental capacity for respondents to switch between questions.

Step 1: Define your goals and objectives

The first step of designing a questionnaire is determining your aims.

• What topics or experiences are you studying?
• What specifically do you want to find out?
• Is a self-report questionnaire an appropriate tool for investigating this topic?

Once you’ve specified your research aims, you can operationalize your variables of interest into questionnaire items. Operationalizing concepts means turning them from abstract ideas into concrete measurements. Every question needs to address a defined need and have a clear purpose.

Step 2: Use questions that are suitable for your sample

Create appropriate questions by taking the perspective of your respondents. Consider their language proficiency and available time and energy when designing your questionnaire.

• Are the respondents familiar with the language and terms used in your questions?
• Would any of the questions insult, confuse, or embarrass them?
• Do the response items for any closed-ended questions capture all possible answers?
• Are the response items mutually exclusive?
• Do the respondents have time to respond to open-ended questions?

Consider all possible options for responses to closed-ended questions. From a respondent’s perspective, a lack of response options reflecting their point of view or true answer may make them feel alienated or excluded. In turn, they’ll become disengaged or inattentive to the rest of the questionnaire.

Step 3: Decide on your questionnaire length and question order

Once you have your questions, make sure that the length and order of your questions are appropriate for your sample.

If respondents are not being incentivized or compensated, keep your questionnaire short and easy to answer. Otherwise, your sample may be biased with only highly motivated respondents completing the questionnaire.

Decide on your question order based on your aims and resources. Use a logical flow if your respondents have limited time or if you cannot randomize questions. Randomizing questions helps you avoid bias, but it can take more complex statistical analysis to interpret your data.

Step 4: Pretest your questionnaire

When you have a complete list of questions, you’ll need to pretest it to make sure what you’re asking is always clear and unambiguous. Pretesting helps you catch any errors or points of confusion before performing your study.

Ask friends, classmates, or members of your target audience to complete your questionnaire using the same method you’ll use for your research. Find out if any questions were particularly difficult to answer or if the directions were unclear or inconsistent, and make changes as necessary.

If you have the resources, running a pilot study will help you test the validity and reliability of your questionnaire. A pilot study is a practice run of the full study, and it includes sampling, data collection , and analysis. You can find out whether your procedures are unfeasible or susceptible to bias and make changes in time, but you can’t test a hypothesis with this type of study because it’s usually statistically underpowered .

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

• Student’s  t -distribution
• Normal distribution
• Null and Alternative Hypotheses
• Chi square tests
• Confidence interval
• Quartiles & Quantiles
• Cluster sampling
• Stratified sampling
• Data cleansing
• Reproducibility vs Replicability
• Peer review
• Prospective cohort study

Research bias

• Implicit bias
• Cognitive bias
• Placebo effect
• Hawthorne effect
• Hindsight bias
• Affect heuristic
• Social desirability bias

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

Closed-ended, or restricted-choice, questions offer respondents a fixed set of choices to select from. These questions are easier to answer quickly.

Open-ended or long-form questions allow respondents to answer in their own words. Because there are no restrictions on their choices, respondents can answer in ways that researchers may not have otherwise considered.

A Likert scale is a rating scale that quantitatively assesses opinions, attitudes, or behaviors. It is made up of 4 or more questions that measure a single attitude or trait when response scores are combined.

To use a Likert scale in a survey , you present participants with Likert-type questions or statements, and a continuum of items, usually with 5 or 7 possible responses, to capture their degree of agreement.

You can organize the questions logically, with a clear progression from simple to complex, or randomly between respondents. A logical flow helps respondents process the questionnaire easier and quicker, but it may lead to bias. Randomization can minimize the bias from order effects.

Questionnaires can be self-administered or researcher-administered.

Researcher-administered questionnaires are interviews that take place by phone, in-person, or online between researchers and respondents. You can gain deeper insights by clarifying questions for respondents or asking follow-up questions.

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Ten-Minute Methodology: How to Ask Good Research Questions

By Harold Henderson, CG ®

Genealogists are often confused. It comes with the territory. We can’t always avoid it, but we would prefer not to wallow in it. Have you ever had a conversation (with yourself or someone else) that began something like this made-up one?

I would like to find out if Joseph born about 1785 who married “unknown” is my fifth great-grandfather, or sixth. Who did Joseph marry? Who were the children? When and where were they born? Is Joseph the father or grandfather of my Jerome J. Jenkins, and if Joseph is not his father then who? And what about Jemima living in Joseph’s household in 1850? Is she his wife?

  To escape this confusion, we need to slow down. In particular, we need to ask one question at a time—and make that question specific.

A good research question does two things. First, it identifies a unique individual. (Sometimes it might be a group or an event, but let’s keep it simple for now.) Second, it specifies what we want to learn about that individual. [1]

We can improve the question by working from the known to the unknown and leave the suppositious Joseph on the shelf for now.  But even “Who is Jerome’s father?” doesn’t identify a unique individual. There are too many Jeromes. Better would be, “Who is the father of Jerome J. Jenkins who was born about 1832 in Kentucky and lived in Hamilton County, Ohio, in 1850?” This question identifies a specific individual (Jerome J. Jenkins) and the specific information we’re looking for (his father). It’s specific enough that we can measure a proposed answer against the Genealogical Proof Standard. [2]

Of course, as genealogists we really want to know all about Jerome , so this procedure may strike us as awfully narrow. But a specific question is a magical thing. By concentrating our attention we focus on the right person and learn more than we expected about him. For instance, we might

• follow Jerome through later censuses and check to see if a possible sibling or a candidate father shows up in or near his household;
• locate Jerome’s death record (Does it name a father or a county of birth?);
• seek out a late second marriage record (Does it name a father or a county of birth?);
• check for any appearance in county history “mug books” where he settled;
• check his or his children’s marriage records for a church affiliation that might yield information; and
• find what role Jerome played in the Civil War (If he served, did his muster roll name a county of birth? Did he or any dependents apply for a pension?).

If we find a possible birthplace and a candidate for a father and/or siblings, we can seek out their records, especially the candidate father’s probate. If looking forward doesn’t help, we might cast a wider net and

• review the 1840 census for heads of Jenkins households in Kentucky containing boys aged 5–10; and
• look for Jerome in Hamilton County land records and start building a list of friends, associates, and neighbors who might lead back to Kentucky.

And so forth, depending on what turns up in the process. Obviously any leads or contradictions (such as other census records saying he was born in Indiana instead of Kentucky) could redirect the search drastically.

Thorough research for Jerome’s father will inevitably pull in more than just that relationship. When we pursue the answer to this one question, we find ourselves gathering information that answers other questions and even starting to fulfill our original naïve wish to learn “everything” about Joseph.

And we’re sticking with our one question. We don’t start by googling a name and staring at dozens of probably irrelevant results. We follow a strategy that could provide a firm foundation for the next question we ask.

 Seek specifically, and ye shall find abundantly!

[1] Genealogy Standards: 50 th Anniversary Edi tion (Nashville, Tenn.: Turner Publishing, 2014), Standard 10, “Effective Research Questions,” 11–12. [2] “The Genealogical Proof Standard,” Board for Certification of Genealogists (https://www.bcgcertification.org/resources/standard.html : viewed 22 January 2016).

The words Certified Genealogist are a registered certification mark, and the designations CG, CGL and Certified Genealogical Lecturer are service marks of the Board for Certification of Genealogists®, used under license by board certificants after periodic evaluation.

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• Omnibus Surveys
• Rapid Research
• ResearchStory

The 12 Methodology Questions You Must Be Prepared to Answer About Your Survey

by Jeffrey Henning | Jul 20, 2023 | Blog

A good friend of mine has been a freelance journalist for over 25 years. He’s seen little increase in the amount he makes per word or per article over all that time: what gains he has made have come through increased productivity. And if an idea is going to take too much work to develop into a story, he’ll go on to the next idea instead.

Don’t let it be your idea for a story that he passes over.

If you are pitching a newsmaker survey done by your organization or by one of your clients, make sure that you have answered all the most common questions a journalist would have about that research up front. That way they won’t need to call or email you to get details they consider important. Or worse—decide that’s too much trouble and move on to the next pitch.

Fortunately, it’s easy to know the survey methodology questions that reporters will want answered. Since 2007, the American Association of Public Opinion Researchers and the Poynter Institute have trained reporters to ask  key questions about survey research results . And the National Council of Public Polls (NCPP) has published its own list of questions for journalists to ask about surveys, now on its third edition:  20 Questions A Journalist Should Ask About Poll Results .

Comparing the two documents shows the most common questions journalists are advised to ask about surveys:

• Who paid for the poll and why was it done?
• Who ran the poll?
• How many people were interviewed?
• How were those people chosen? (Probability or nonprobability sample?)
• What area or what group were people chosen from? (Adults, online consumers, marketing staff?)
• Are the results based on the answers of all the people interviewed?
• When were the interviews conducted?
• How were the interviews conducted?
• How was the poll conducted? (Online, by telephone, face-to-face?)
• What’s the margin of sampling error, if applicable?
• What questions were asked?
• What order were the questions asked in?

While most news releases include a paragraph about the survey methodology, in the interests of space such statements are often short and don’t always answer all the questions reporters are trained to ask. Make sure yours do.

In addition to providing a methodology statement that answers these questions, we always compile an appendix showing the order and wording for every reported question, along with the topline results for each.

The more survey methodology questions that you can answer in advance for journalists, the more likely they are to write about your survey rather than pass over it!

Author Notes:

Jeffrey henning.

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Memorial Sloan Kettering Library

The physical space of the MSK Library is scheduled to close to visitors on Friday, May 17, 2024. Please visit this guide for more information.

Systematic Review Service

• Review Types
• How Long Do Reviews Take
• Which Review Type is Right for Me
• Policies for Partnering with an MSK Librarian
• Request to Work with an MSK Librarian
• Your First Meeting with an MSK Librarian
• Covidence Review Software
• Step 1: Form Your Team
• Step 2: Define Your Research Question
• Step 3: Write and Register Your Protocol
• Step 4: Search for Evidence
• Step 5: Screen Your Results
• Step 6: Assess the Quality
• Step 7: Collect the Data
• Step 8: Write and Publish the Review
• Additional Resources

Define Your Research Question

A well-developed research question will inform the entirety of your review process, including:

• The development of your inclusion and exclusion criteria.
• The terms used in your search strategies.
• The tool(s) used to assess the quality of included studies.
• The data pulled from the included studies.
• The analysis completed in your review.
• The target journal(s) for your review's publication.

If your question is too broad, you may have trouble completing the review. If your topic is too narrow, there may not be sufficient literature to warrant a review.

How the MSK Library Can Help

One of the first conversations you will have with your MSK librarian will be about your topic.

Your MSK librarian will:

• Work with you to determine whether a systematic review on your topic has been published or planned by searching databases like  PubMed ,  Embase , and  Epistemonikos  and registries like  PROSPERO ,  Protocols.io , and Open Science Framework (OSF) Registries .
• Ask you for a sample set of relevant publications (also known as seed articles) that you know you want your review to capture. This helps provide a better sense of the scope of your research question. If your topic is too broad or narrow, your MSK librarian can help improve the focus. This sample set will later inform the construction of the search strategy.

Using a Question Framework

• What if my topic does not fit a framework?

PICO is a model commonly used for clinical and healthcare related questions, and is often, although not exclusively, used for searching for quantitively designed studies. 

Example question: In elderly patients, does patient handwashing compared to no handwashing impact rates of hospital-acquired infections?

Richardson, W.S., Wilson, M.C, Nishikawa, J. and Hayward, R.S.A. (1995). "The well-built clinical question: a key to evidence-based decisions."  ACP Journal Club , 123(3),  A12.

Question framework content adapted from The University of Plymouth Library . 

PEO is useful for qualitative research questions.

Example question:   In homeless populations, do addiction services impact housing rates?

Moola S, Munn Z, Sears K, Sfetcu R, Currie M, Lisy K, Tufanaru C, Qureshi R, Mattis P & Mu P. (2015). "Conducting systematic reviews of association (etiology): The Joanna Briggs Institute's approach."  International Journal of Evidence - Based Healthcare, 13(3), 163-9. Available at: 10.1097/XEB.0000000000000064.

PCC is useful for both qualitative and quantitative (mixed methods) topics, and is commonly used in scoping reviews.

Example question:   What patient-led models of care are used to manage chronic disease in high income countries?

Chronic disease

Patient-led care models

Peters MDJ, Godfrey C, McInerney P, Munn Z, Tricco AC, Khalil, H. "Chapter 11: Scoping Reviews" (2020 version). In: Aromataris E, Munn Z (Editors).  JBI Manual for Evidence Synthesis, JBI, 2020. Available from   https://synthesismanual.jbi.global .    https://doi.org/10.46658/JBIMES-20-12

Question framework content adapted from The University of Plymouth Library .

SPIDER is a model useful for qualitative and mixed method type research questions.

Example question: What are young parents’ experiences of attending antenatal education?

Cooke, A., Smith, D. and Booth, A. (2012)."Beyond PICO: the SPIDER tool for qualitative evidence synthesis."  Qualitative Health Research , 22(10), 1435-1443.

SPICE is a model useful for qualitative and mixed method type research questions. 

Example question: Does mindfulness therapy in a counseling service impact the attitudes of patients diagnosed with cancer?

Example question adapted from: Tate, KJ., Newbury-Birch, D., and McGeechan, GJ. (2018). "A systematic review of qualitative evidence of  cancer patients’ attitudes to mindfulness."  European Journal of Cancer Care , 27(2), 1-10.

ECLIPSE is a model useful for qualitative and mixed method type research questions, especially for questions examining particular services or professions.

Example question: Can cross-service communication impact the support of adults with learning difficulties?

You might find that your topic does not always fall into one of the models listed on this page. You can always modify a model to make it work for your topic, and either remove or incorporate additional elements.

The important thing is to ensure that you have a high quality question that can be separated into its component parts.

• << Previous: Step 1: Form Your Team
• Next: Step 3: Write and Register Your Protocol >>
• Last Updated: Apr 3, 2024 2:00 PM
• URL: https://libguides.mskcc.org/systematic-review-service

30+ User Research Questions To Ask For Building Better Products

10 min read

The right user research questions will help you collect relevant data about your target audience and make informed decisions to propel growth.

However, if done wrong, you risk encountering confusion and skewed results. This article serves as your guide to avoid such pitfalls by showing you:

• How to craft your questions the right way and collect valuable feedback .
• Examples of questions you can copy or tweak.
• Best practices to adopt for effective results.
• User research questions are quantitative or qualitative questions you ask users to uncover insights about their mental models, needs, behavior, and experience with your product.

Broadly speaking, you can trigger research questions to:

• Understand user problems .
• Uncover user preferences.
• Gather information about the product experience.

Examples of user research questions to understand user problems:

• What problems are you looking to solve with this product?
• What is the main goal when completing [a task in the product]?
• How hard is it to accomplish [task]?

Examples of problem research questions to understand user needs:

• Describe the problem you are trying to solve as a [user persona].
• What tasks do you accomplish during an average workday?
• On a scale from 1 to 5, how difficult is it to accomplish [a task]?

Examples of UX research questions to improve user experience:

• What were your initial expectations when you started using our product, and how did the actual experience compare?
• How would you describe the organization and clarity of our menu and interface labels? Are there any terms or options that are unclear to you?
• On a scale of 1-10, how was your experience with [task]?

Adopt these best practices to crush your UX research goals:

• Ask concise questions and be specific.
• Avoid asking leading questions so research participants can provide honest answers.
• Use a mix of closed-ended and open-ended questions for comprehensive insights.

Channels to collect UX research responses:

• Use in-app user feedback surveys to gauge satisfaction.
• Conduct user interviews to understand needs, preferences & experiences.
• Carry out user testing to dig deeper into how users interact with your tool.
• Effective user research hinges on employing the right questions, user interview strategies, and continuous experimentation to discover which techniques resonate best with your audience. Userpilot can help with that. Book a demo to learn more.

What are user research questions?

User research questions are quantitative or qualitative questions you ask users to uncover insights about their perception, needs, behavior, and experience with your product.

By analyzing the responses to these questions, you can make informed decisions about product design and development. Ultimately, research helps you build a product that users love, thereby driving customer satisfaction and loyalty.

Types of user research questions

User research is as broad as it comes, but generally speaking, there are three categories when surveying SaaS users:

User research questions to understand the problems

The questions in this category help you uncover the pain points and challenges your ideal customers face.

By triggering these questions and analyzing responses from the research participants, you’re better positioned to make continuous iterations and ensure your product evolves to meet user needs.

Use this category of questions when you want to:

• Brainstorm new product ideas .
• Design a product sprint.
• Design feature enhancements.
• Improve product usability.

User research questions to understand user preferences

These questions enable you to glean proper information about your target audience . By asking them, you’ll know what makes your audience tick, the factors that influence their buying decisions, and what tasks they accomplish each day.

Trigger surveys about user preferences early in the product development stage to:

• Design data-driven user experiences .
• Identify features that will drive product adoption.
• Understand the preferred pricing structure and your users’ WTP (willingness to pay).

User research questions about the product experience

The overall product experience shapes how users perceive your brand and determines whether they continue doing business with you. By conducting surveys about the user experience, you will uncover insights to:

• Improve the product experience and usability .
• Guide new features and enhancements.
• Discover churn reasons .

Examples of user research questions to understand the problem

Trigger the questions below to gain insights into problems your users face and identify solutions that will improve their experience.

Qualitative research question examples

• Can you describe a time when you were struggling to use [product/feature] and how you eventually overcame the challenge?
• Are there any recurring issues or problems that, if resolved, would significantly enhance your overall satisfaction with our product?
• What features or functionality are missing from our product that would make it more useful for you?

Quantitative research question examples

• On a scale of 1 to 7, how challenging do you find [specific features of your product] to use?
• How likely are you to recommend our product to others based on your current experience?
• What is the likelihood that you will switch to a competitor product in the next six months?
• How often do you have to contact our customer support team for assistance?
• Indicate your level of agreement with the statement: “The current version of [product] adequately addresses my primary pain points.”

Examples of problem research questions to understand user needs

Curious about user needs, preferences, and willingness to pay? Trigger the following qualitative and quantitative survey questions at the right points in the user journey:

Qualitative research questions

• What tasks do you accomplish in an average workday?
• Can you describe one particular feature you find most valuable in a product like ours?
• Are there any missing features you’ll be willing to pay extra for?
• How do you currently address gaps or limitations in our product? Are there workarounds you’ve developed?
• How important is mobile accessibility in your workflow, and what features would you consider essential for a mobile version of our product?
• When it comes to integrations with other tools or platforms, which integrations would be most beneficial for your workflow?
• What has been the biggest hurdle in using [feature]?

Quantitative research questions

• What are the top three tasks you complete most often with our product? (List the most common tasks in your tool to make it easy for users to simply click an option)
• To what degree do you value product updates and new feature announcements in maintaining your interest in a SaaS product?
• How likely are you to consider upgrading to a higher pricing tier for access to premium features?
• How much would you be willing to pay for a solution to [problem]?

Examples of product research questions to improve user experience

Trigger the following to learn more about the user experience and identify ways to improve usability and retention.

Qualitative UX research questions

• How can we improve your experience with the product?
• Are there any features you rarely use, and if so, can you explain why?
• Can you describe a time when you were struggling to use our product and how you eventually overcame the challenge?
• Have you used similar products or competitors in our industry, and if so, what aspects of their user experience do you find better or worse than ours?
• If you were to stop using the product, what would be the main reason?

Quantitative UX research questions

• On a scale from 1 to 5, rate how easy it is to use [product].
• How often do you encounter problems completing the following tasks with our product? (List the tasks)
• On a scale from 1 to 10, how likely are you to recommend this product to a friend?
• How easy is it to find the information you need to complete tasks with our product?
• Indicate your agreement with the statement: “My overall satisfaction with [product] has increased over time.” (strongly disagree, disagree, neutral, agree, strongly agree)
• How would you rate your overall experience with [product]?

Best practices when conducting user research

To avoid distorting your research results, it’s important you choose your survey questions carefully. One word or phrase could influence user responses and give you inaccurate data.

Below are three best practices when rolling out user research questions:

Ask concise questions and be specific

Concise questions help participants clearly understand the information you’re seeking. They prevent confusion and ensure participants can provide relevant insights.

Stay away from product or industry jargon, as not all participants might be familiar with them.

That said, focus on asking specific questions—ideally, one idea per question. This makes it easier for users to respond, and it also helps you analyze better and faster.

Here’s an example of an incorrect survey question: “How satisfied are you with the ease of navigation and the responsiveness of customer support in our product?”

This question combines two distinct ideas—satisfaction with ease of navigation and satisfaction with customer support responsiveness—into a single question. Respondents may have differing opinions on each aspect, making it challenging to pinpoint specific areas for improvement. It also doesn’t allow participants to express nuanced feedback on each element separately.

Avoid asking leading questions

Leading questions are intentionally or mistakenly worded in a way that suggests or pushes respondents toward a certain answer.

Example: “Was the product very easy to navigate?”

This question is leading because it suggests a positive outcome and assumes agreement with the statement. Respondents may feel compelled to respond positively even if they don’t genuinely believe the product has easy navigation. This can introduce bias and result in inaccurate data.

A better phrasing would be, “How would you describe your experience with navigating the product?”

Let’s consider another example.

What do you think about the survey question below?

“Is feature A better than feature B? (Yes/NO)”

Leading or not?

Binary questions can be tricky because the phrasings inherently imply comparison; however, the above question is leading.

A better way to frame it for unbiased responses is to ask: “Do you prefer feature A or B?”

Use a mix of closed-ended and open-ended questions

This is known as mixed-method research, and experts use it to get both qualitative and quantitative feedback for better insights.

Closed-ended questions provide quantitative data that you can quickly analyze to generate actionable insights. On the other hand, open-ended questions offer qualitative feedback, uncovering the “why” behind quantitative responses.

When designing your survey, strike a balance between closed-ended and open-ended questions. Ensure closed-ended questions cover key metrics , while open-ended questions delve into user perceptions and experiences.

Sometimes, it’s effective to start with quantitative questions to gather baseline data and then ask open-ended follow-up questions to explore nuances and gather rich qualitative data.

For example, you can trigger an NPS survey that asks users on a scale of 1-10, how likely they are to recommend your new feature, then send a follow-up asking the reasons for their scores.

How to collect responses to user research questions

There are multiple user research channels. The ones you choose boil down to your audience and research goals. For SaaS participants, in-app surveys, user interviews, and usability tests work great.

Let’s go over them in detail.

Use in-app user feedback surveys to gauge satisfaction

Meet customers where they are with contextual in-app surveys that let you collect input on the spot. This real-time feedback is valuable for understanding immediate user experiences and satisfaction levels.

For instance, triggering a CSAT survey immediately after a user interacts with your new feature lets you get more accurate feedback compared to when you wait to ask them weeks later in a one-on-one interview.

By integrating surveys into your app, you engage users without requiring them to switch to a different platform. This convenience encourages higher participation rates.

Conduct user interviews to understand needs, preferences & experiences

When it comes to understanding user needs and preferences, interviews work better. They help you interact closely with the research participants, ask follow-up questions immediately, and generate in-depth feedback to uncover underlying motivations and reasons behind user behavior.

All these are critical to building products your users will love, especially when building an MVP to test with a new audience.

In addition, direct interactions foster empathy as you can observe non-verbal cues and emotions, gaining a holistic perspective on user experiences beyond what may be expressed verbally.

Carry out usability tests to dig deeper into product usability

Usability tests help you gauge how user-friendly your product is. The tests focus on understanding customer satisfaction with your tool and their perception of its value.

Usability tests help pinpoint specific areas of your product that may cause confusion or frustration for users. By observing users during tests, you’ll gain insights into their natural interaction patterns, allowing you to make adjustments that align with user expectations and behaviors.

Popular usability testing methods include guerilla testing, lab testing, and remote testing. The approach you choose depends on your audience and research objectives.

User research isn’t a one-time task but an ongoing process of learning about users and making improvements.

Regularly conduct user research to keep track of changing customer needs and preferences. Doing this will save you from losing users to churn and ensure your product is competitive.

When you think about it critically, research boils down to asking the right questions. Your phrasing matters as much as the channels and timing. So, A/B tests different research questions to see which gives you better results.

Userpilot can help you trigger and analyze user research questions in-app. With our platform, you can:

• Design different kinds of quantitative and qualitative surveys.
• Segment users to determine who sees what.
• Set event-based triggers so your surveys are contextual. For instance, you can set your surveys to be sent after a user interacts with a new feature. This way, only users who hit that goal will see your surveys.
• A/B test different survey elements and get real-time results.

Book a demo now to get started!

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• Graduate School

Hardest Research Proposal Questions and Best Sample Answers

Featured Expert: Dr. Michela Insenga, PhD

Practicing with sample research proposal questions and answers can have great benefits for any major research project such as a dissertation or thesis. This is often the final step before you finally get your doctorate degree. However, before all of that, you must first craft a research proposal. This is a detailed outline that will transform into the thesis that you will eventually have to defend in front of a panel of distinguished academics. It is always important to be aware of what thesis defense questions you will be asked when it is all said and done, but you may have to start justifying your research a little earlier on with the completion of a research proposal.

In this article, we include sample questions and answers you could be faced with when submitting your research proposal, some tips for preparing your responses, as well as the benefits of seeking professional help from a grad school advisor .

>> Want us to help you get accepted? Schedule a free strategy call here . <<

Article Contents 13 min read

What to expect for your research proposal.

Early on in your PhD process, you may have to submit a research proposal that details the scope of your research and what you plan to for an eventual thesis or dissertation project. You have already learned how to find a PhD topic , so now it is time to put your passion for your field into practice and start to manifest the ideas swimming in your head.

This document should include the specific topic you would like to research, what angle you will be taking for your research, as well as your justification for choosing this subject. Regardless of whether or not your goals are the same as when you wrote your research interest statement sample , you must still provide an update about what your project is going to examine.

Should you go to grad school? Watch this video:

The purpose of the research proposal is to convince your supervisor that you are on the right direction. You are essentially providing a roadmap for your supervisor through your motives in undertaking this project and how you plan to complete it. Your supervisor will have to evaluate whether or not your project is relevant to the degree you are completing and manageable within the time constraints or other limitations you have.

As a result, you may have to undergo a research proposal defense or your supervisor will ask guiding questions about the state of your project. While this is still very early in the process, it is a great way for getting to know how to prepare for a thesis defense , as the questions you will be have a similar intent. Receiving guidance on your research before spending a lot of time on it can be more beneficial to you as you complete coursework or any other responsibilities as a graduate student. Questions from your supervisor can make your think critically about the end result of your result, and will hopefully lead to a better result.

Be Very Familiar With Your Proposal

This sounds like an obvious tip, but PhD research proposals can be 1500-2000 words long and can be a lot of information to remember at once. Once it is complete, try and have as great of a grasp of the material as you can. Before going into any meeting where you will discuss your work, make sure to become reacquainted with the information you have found and the goals you are hoping to achieve. Re-read your proposal several times to both proofread it for typos or other errors, but also to become comfortable with its contents. You want to make sure that your answers line up with the document you are officially submitting as your proposal.

Ask for Advice

If you are having trouble creating your proposal, you can always consult thesis writing services to help you plan out and put your thoughts into words. Professionals can also help with your speaking ability when responding and help you strategize so that you deliver efficient responses that sum up your research faithfully. Either together with an advisor or on your own, you can predict the obvious questions that are coming and prepare yourself to answer them. If your supervisor will be overseeing your proposal, try to anticipate what concerns they will have. Come up with a list of questions yourself, so you can workshop how you answer them.

Use Strategies to Answer Questions

Just like preparing for graduate school interview questions , you can develop strategies for how to answer questions about your research proposal. Keep your answers direct. You can also pose questions about areas you are unsure about. Do not be afraid to not have all the answers. At this point of your research, you are not expected to know everything point. The purpose of your proposal is to see where you are at right now and what you need to adjust on to make the best final product possible. Your supervisor or other academics that will pose questions about your proposal are not out to get you. They have years of experiences with similar projects, and are likely are qualified to give helpful feedback on your work in progress.

1. What is your research project about?

This answer should be a short summary about your research project. This question may seem like this simplest of them all, but you need to have a solid direction on where you want your thesis to go in order for it be effective. It does not need to be as complete as if you were to be summarizing your final product, since your project is still in its development stages. For instance, a sociological study regarding gendered tendencies towards deviant behaviors on the internet might be formatted in this manner:

For this research project, I plan to examine the rise of online deviant sociological behaviour on social media platforms during recent global shutdowns such as the COVID-19 pandemic and how gender identity and sexual orientation amplify these concerns. These acts of deviance can include instances of catfishing, deception, pornography, obscenity, cyber bullying, flaming, among others. I will also relate these findings to psychological impacts of both the perpetrators and victims or other relevant criminal behaviors that do not take place online, pointing out the differences between common trends for men vs. women in these altercations.

2. Why did you select this particular topic?

This question is meant to assess your motivation for choosing the subject of your research proposal. It is possible that you have previously touched on this kind of question during your graduate school interview when answering “Why do you want to do a PhD?” . This answer is one that could get a little more into your personal inclination towards the research you pursue. Focus on your particular interests and shape it to the goals of the project. For example, if you conducted a study called, “Forgotten Minds: Book History and Women’s Lost Contributions in 18th and 19th-century England” then you can frame your answer in this way:

As a scholar of the marriage industrial complex that permeated British society in past centuries, I am interested in the ways that a patriarchal structure can silence the marginalized voices of others, as matrimony often did for women. This is all the more evident in the interdisciplinary field of book history, where women’s contributions to the publishing were often ignored, erased, or overshadowed by their husbands. I wanted to indicate any trends that can be discovered by examining the roles of women in 18th and 19th-century printing houses and potentially unearth the forgotten stories of women who worked in these instances.

3. Does your project have a working title?

Titles are very important for academic articles or formal dissertation projects. If you have already learned how to publish as a graduate student , you will know that the title is how other academics or students will find your work when searching through journals and databases. You need to make sure your title is accurate to the research provided. At this point, your title will likely not be final, but it always important to be thinking about.

Sample Answer: My tentative title is “Take a Chill Pill: Natural and Traditional Methods for College Student Anxiety Levels”. I chose this title because it represents both the holistic self-care methods such as meditation and exercise as well as prescription medication. It also points out the focus group immediately, since the study will examine current college students between the ages of 18-24 and indicate any patterns for how they manage stress among unprecedented times.

4. What scope do you think your project will have?

Your proposal will likely touch on several points related to your topic, but it is not really plausible to have a project that considers every single aspect imaginable. You may need to narrow this down as you further develop your research. Start thinking of the boundaries you may have to set as you progress through your work.

Sample Answer: This study will examine consumption trends related to the snack food industry. To start with, I have chosen over 25 products from different companies will be able to be listed and reviewed in the final thesis submission.

5. What makes your project original?

Being a publishing academic is all about filling the gaps in scholarship. Make sure to point out what makes your project stand out from others in the field.

Sample Answer: The project focuses on how remote working and telemedicine shifts the delivery of family medicine procedures in Montreal, Quebec, Canada. It does engage with similar studies on the topic of telemedicine, but will add a new perspective by discussing family doctors practicing in the greater Montreal area, specifically, which is a subset I have not yet found within existing scholarship.

6. How is your research in conversation with existing scholarship?

While your research must add something to the field, it also should be in a dialogue with other published works. Explain your process surrounding the other studies you have used to guide your own thesis.

Sample Answer: As my project is related to how autoimmune disorders such as rheumatoid arthritis present themselves in young adults, I have included fundamental studies on the topic from Dr. Arthur Golden and Dr. Melina Rizzo, as well as other more current examples of scholarship. My study will utilize their concepts in relation to a focus group that is below the age of 30.

7. What kind of research methodology will you be using?

How you will be accessing this research is just as important as the research itself. Try to have a clear path about the measures you will take to complete your study.

Sample Answer: I aim to use detailed and meticulously written surveys about women’s birth experiences at hospitals or affiliated birthing centers. These results will act as the main foundation for my study on maternity health care and treatment.

8. Have you found there to be any interesting developments so far?

Was there any part of the part of the process that you did not expect? For this response, detail any new directions your research has taken as of writing your proposal.

Sample Answer: While looking for evidence that suggests that gender socialization of children affects their behaviour, I was surprised to find out that there is a discrepancy between the emotional responses in animated characters based on gender. Female or feminine-presenting characters are shown smiling on screen much more than their male counterparts, and the masculine-presenting characters were generally more likely to be shown as upset or even violent. That is a development in my research that I did not initially think of or foresee.

9. What do you think your biggest limitations for this research will be?

Look into the work you will have to do for your eventual full-length research project. What do you see being the most difficult part?

Sample Answer: I am looking into the nutritional benefits of drug store chewable gummy multivitamins. However, based on an individual’s prior health conditions or genetic makeup, the results may vary or be distorted. I am presuming that this will be a major limitation as I write my thesis.

10. What will be the dependent and independent variables of this project?

When researching, there are different variables that can potentially affect your results. An independent variable is not affected by other variables in your study, while dependent variables also change if other variables do.

Sample Answer: My study will investigate the impact of guidance counselling for junior and senior high school students. The independent variable is the type of help they require, such as college applications, social development skills, or academic performance. The dependent variable would be the actual outcomes of said counselling.

11. What is your provisional research timeline?

Even if it is not 100% stuck to, try to have a detailed timeline in mind about when research will be completed and how you will fulfill all of your obligations prior to the respective deadlines.

Sample Answer: The provisional research timeline for my proposal is designed to ensure systematic progress and timely completion of all research objectives. My timeline is divided into five phases:

Preparation Phase (4 weeks): In this initial stage, I will conduct a thorough literature review to familiarize myself with existing research and identify potential gaps. Simultaneously, I will finalize the research questions and establish the overall framework for my study.

Data Collection and Analysis (8 weeks): During this phase, I will gather primary data through surveys and interviews, ensuring data collection aligns with ethical guidelines. Once collected, I will proceed with data analysis, utilizing appropriate statistical methods to extract meaningful insights.

Literature Integration (4 weeks): Building upon the analyzed data, I will integrate my findings with existing literature to provide a comprehensive context for my research.

Drafting and Revision (6 weeks): I will dedicate this phase to writing the research proposal. The initial draft will be critically reviewed and refined through multiple iterations to enhance clarity and coherence.

Finalization and Submission (1 week): In the final phase, I will incorporate feedback from peers and advisors and polish the research paper to its final form. The completed research paper will be submitted by the designated deadline.

This provisional timeline, spanning 23 weeks, allows for flexibility and contingency plans to accommodate unforeseen challenges. Regular progress assessments and adjustments will be made to ensure timely completion and adherence to all obligations.

12. Who are the demographics who will be most interested in your research?

An important aspect of your research to think about will be who will be the most interested in reading it, as well as who it impacts the most.

Sample Answer: The demographics most interested in my research are likely to be professionals and policymakers within the healthcare industry. Given the focus of my research on implementing technology-driven solutions to enhance patient care and improve healthcare outcomes, healthcare practitioners, administrators, and researchers would find the findings particularly relevant.

Additionally, technology enthusiasts, innovators, and entrepreneurs interested in the intersection of healthcare and technology are also expected to show interest in the research. This group may be keen to explore potential commercial applications of the proposed solutions or seek opportunities for collaboration.

Moreover, the research would significantly impact patients and healthcare consumers. As technology increasingly plays a vital role in healthcare delivery, patients would be interested in understanding how these advancements can positively influence their healthcare experiences and overall well-being.

To ensure the research's reach and impact, I will disseminate the findings through academic publications, conferences, and workshops. Additionally, I will aim to engage with relevant professional organizations, healthcare institutions, and technology forums to stimulate interest and foster practical applications of the research outcomes.

By targeting these demographics, the research can make a meaningful contribution to the field of healthcare technology and help drive advancements that benefit both healthcare providers and patients alike.

13. What do you hope to be the significance of your research?

This is the “So what?” of your research. Will your research have lasting impacts? Evaluate which current issues your research could resolve.

Sample Answer:

The significance of my research lies in its potential to revolutionize healthcare delivery through technology-driven solutions. By addressing current issues such as inefficiencies in healthcare systems, lack of patient engagement, and suboptimal outcomes, my research aims to foster lasting impacts. Implementing technology to improve patient care, streamline processes, and enhance healthcare accessibility could lead to better health outcomes, reduced costs, and an overall improvement in the quality of healthcare services.

14. Are there any ethical issues or debates surrounding your research project?

Some projects are directly tied to ethics and moral issues that are currently being debated. It would be important to mention any ties to these issues and how your research is part of a larger conversation.

Sample Answer: While my research primarily focuses on technology-driven solutions to enhance healthcare, there are potential ethical considerations surrounding data privacy and security. As the research involves collecting and analyzing patient data, ensuring the confidentiality and informed consent of participants is paramount. Additionally, discussions about the responsible use of artificial intelligence in healthcare and potential biases in algorithms are relevant to the larger conversation on the ethical implications of technology in healthcare. Addressing these issues will be crucial to maintaining the integrity and societal benefit of the research.

15. Do you have any personal predictions for the outcome of your research?

If you haven’t yet conducted surveys or a thorough literature review, relay what you think will happen and any other concerns to your supervisor.

Sample Answer: As of now, without conducting surveys or an extensive literature review, I anticipate that the research will demonstrate the potential of technology in positively impacting healthcare outcomes and patient experiences. However, I am also aware that challenges related to data security, technology adoption, and ethical considerations may arise during the research. I will keep my supervisor informed about any unexpected findings and concerns throughout the study to ensure a comprehensive evaluation of the research outcomes.

Now that you have seen some sample answers, here are some additional questions you can take on:

• What sample groups are you using and why?
• What secondary sources do you plan to use?
• What do you believe is the strongest point in your research?
• Are there any biases that could exist in your research or your secondary sources?
• What are some ways your findings will be put into practice?
• What was the approach you took when starting your project?
• What phenomenon are you trying to understand with this research?
• How has your research project changed from when you started this degree?
• Do you see any foreseeable weaknesses or blind spots in your study?
• What measurement instrument did you use for this research?
• What theoretical framework is your research based on?
• Is the literature you chose up to date?
• What pertinent information have you found so far?
• Does your research have any use for policy makers?
• What do you plan to do with this research project once you have graduated?

When you are wondering, “should you pursue a master’s or a PhD?” , you truly need to consider the importance of research within the discipline you choose. Part of being an academic is the ability to contribute to the field and, by extension, society as a whole. The research proposal and the subsequent dissertation may be the last step to complete your degree, but it is also can be the first real step of your professional career.

Any meeting with your supervisor or instant where you have to defend your work is simply part of the process of being a working academic. This can have lasting implications for the future of your career, as knowing how to conduct and present research effectively is key to learning how to find a job in academia . That being said, the first step is putting yourself in the best position to succeed. Using PhD consultants can make all the difference for your project. If you are currently applying to graduate school, these trained experts can help you get into the school of your dreams or assist with finding programs that suit your skillset. They can also provide pointers on your research, as many of them have been in your shoes before.

A research proposal is a concise and structured document that outlines the key objectives, methodology, and significance of a proposed research project, aiming to convince others about the value and feasibility of the study.

A typical research proposal for a doctoral thesis is usually between 10 to 20 pages, depending on the specific requirements of the academic institution and the complexity of the research project.

To find the right research topic for a doctoral thesis, consider your interests, expertise, and the significance of the topic in your field. Engage with relevant literature, consult with advisors and experts, and identify gaps or unresolved issues to narrow down your focus.

Yes, you can and you should include your research on your grad school CV . 

Most graduate programs will ask you to defend your research proposal. However, if it’s a smaller project, a review of the proposal may be sufficient. 

To prepare for a research proposal or thesis defense, thoroughly review your research work, anticipate potential questions, and practice presenting your findings in a clear and concise manner to effectively communicate your research objectives, methodology, and results.

Some mistakes to avoid when writing a research proposal include: lack of clarity in research objectives, insufficient literature review, neglecting to address potential limitations, and failing to align the proposal with the funding agency's guidelines or the university's requirements.

Yes, you can always reach out to thesis writing services for some guidance. 

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20 Common Researcher Interview Questions and Answers

Common Researcher interview questions, how to answer them, and sample answers from a certified career coach.

You’ve been invited to interview for a research position—congratulations! You know you have the skills and experience, but now it’s time to prove it.

The key to success? Being prepared. To help make sure you shine in your upcoming interview, we’ve compiled some of the most common questions asked during research interviews. Read on, get familiar with them, and practice your answers so you can ace that job interview like a pro.

• What research methods do you use to collect data?
• How do you ensure the accuracy and validity of your research results?
• Describe a time when you had to analyze complex data sets and draw meaningful conclusions from them.
• Explain how you would go about designing an experiment or survey to answer a specific research question.
• Are you familiar with any statistical software programs? If so, which ones?
• What strategies do you use to stay organized while conducting research?
• How do you handle ethical considerations when conducting research?
• Have you ever encountered a situation where you had to adjust your research methodology due to unexpected circumstances?
• Describe a time when you had to present your research findings in a clear and concise manner.
• Do you have experience working with large datasets?
• What challenges have you faced when collecting primary data for a research project?
• How do you approach writing up a research paper or report?
• What techniques do you use to identify potential sources of bias in your research?
• How do you evaluate the quality of secondary sources used in your research?
• What strategies do you use to keep track of changes in the field of research you are studying?
• How do you decide which research questions to pursue?
• What is your experience with peer review processes?
• How do you manage competing demands on your time when conducting research?
• What strategies do you use to ensure that your research remains relevant and up-to-date?
• How do you ensure that your research meets the highest standards of academic integrity?

1. What research methods do you use to collect data?

Research methods are the core of any researcher’s job. You’ll need to be familiar with a variety of different methods, such as surveys, interviews, focus groups, and experiments, and be able to explain how you use each one in your work. This will help the interviewer understand your process and how you can contribute to their organization.

How to Answer:

You should be prepared to explain the research methods you have used in your past work. Talk about how you use surveys, interviews, focus groups, and experiments to collect data, as well as any other methods you may have experience with. If you’re just starting out, then talk through the steps you would take to select a method for each project. You can also mention any specialized methods or software that you are familiar with.

Example: “I use a variety of research methods to collect data, depending on the project. I often use surveys and interviews as primary sources of information, but I also have experience with focus groups, experiments, and software tools like Qualtrics for collecting quantitative data. I’m familiar with specialized methods such as content analysis and ethnography when appropriate. My goal is always to select the method that will provide the most accurate and reliable data for each project.”

2. How do you ensure the accuracy and validity of your research results?

Research requires a level of precision that goes beyond the normal workplace. Good researchers are able to identify what data is relevant and how to collect it in order to make reliable conclusions. Interviewers will want to know that you have the skills and knowledge to conduct research that is both accurate and valid. They’ll also want to know if you use any specific methods or tools to ensure accuracy and validity.

You should be prepared to explain what methods you use to ensure accuracy and validity of your research. This could include double-checking sources, using multiple data points, or triangulating information from different sources to verify results. You can also mention any specific tools or techniques you use, such as conducting surveys or interviews with experts in the field. Be sure to emphasize how important it is for you to make sure that your research is accurate and valid before drawing conclusions.

Example: “When I was working on a research project for ABC Corporation, I had to analyze the data from three different sources. My approach was to use statistical analysis techniques and software tools to cross-reference the data sets and identify any potential discrepancies or outliers. After analyzing the results, I identified a number of key trends that allowed us to draw meaningful conclusions about the company’s operations. The insights gained from this research ultimately led to improvements in the organization’s processes, resulting in increased efficiency and productivity.”

3. Describe a time when you had to analyze complex data sets and draw meaningful conclusions from them.

Research projects often involve a lot of data analysis and interpretation. Knowing how to take large amounts of data and make it into something meaningful is a valuable skill for any researcher. This question is a way for the interviewer to gauge your ability to work with data and draw meaningful conclusions from it.

You should be prepared to provide a specific example of when you had to analyze complex data sets and draw meaningful conclusions from them. Talk about the project, your approach to analyzing the data, and any insights or conclusions that you drew from it. Be sure to emphasize the impact of your findings on the project or organization as well.

Example: “I recently worked on a project for my previous employer in which I had to analyze a large and complex data set. My approach was to break down the data into smaller, more manageable chunks and then look for patterns or correlations between different variables. After doing this, I was able to identify a few key trends that were relevant to the project goals. This allowed us to make better decisions about how to allocate resources and focus our efforts, resulting in a successful outcome.”

4. Explain how you would go about designing an experiment or survey to answer a specific research question.

This question is designed to determine if you have the skills necessary to design and implement valid research experiments. The interviewer wants to know if you understand the fundamentals of research design, such as how to select a sample, how to develop a hypothesis, and how to determine the validity of a study. They also want to know if you can explain the process in a clear and concise manner.

Start by explaining the steps you would take to design an experiment or survey. You should include the following: defining the research question, selecting a sample, developing a hypothesis, creating a data collection plan, and determining how to analyze the results. Be sure to explain any specific techniques you might use in each step, such as random sampling or stratified sampling for your sample selection process. Finally, emphasize the importance of validating the results to ensure they are accurate and reliable.

Example: “When designing an experiment or survey, the first step is to define the research question. Once the research question has been identified, I would then select a sample that is representative of the population being studied. I would also develop a hypothesis based on my understanding of the research question and the available data. After that, I would create a data collection plan that outlines how the data will be collected, such as using surveys, interviews, or focus groups. Finally, I would determine the best method for analyzing the results in order to draw valid conclusions from the research. In all cases, it’s important to validate the results to ensure they are accurate and reliable.”

5. Are you familiar with any statistical software programs? If so, which ones?

Researchers often have to analyze data and present it in a meaningful way. This requires familiarity with statistical software programs like SPSS, SAS, or R. Knowing how to use these programs is a critical part of being a successful researcher, so this question is meant to gauge your level of expertise.

If you are familiar with any of the programs mentioned above, be sure to mention that and explain how you have used them in past research projects. If you are not familiar with these programs, it is still important to emphasize your ability to learn new software quickly. Explain how you approach learning new technologies and provide examples of times when you have successfully done so in the past.

Example: “I have used SPSS and SAS in my previous research projects. I am also comfortable with learning new statistical software programs, as I have done so on multiple occasions in the past. For example, when starting a new project at my last job, I was asked to learn R quickly in order to analyze data. Within two weeks, I had become proficient enough to use it for all of our research needs.”

6. What strategies do you use to stay organized while conducting research?

Research can be a long and complex process, with lots of data to sift through, organize, and analyze. It’s important to show the interviewer that you have a system in place to stay organized throughout the research process, from the initial research plan to the final report. This will demonstrate that you can effectively manage your time and resources, as well as prioritize tasks and remain focused on the task at hand.

You can answer this question by talking about the strategies you use to stay organized while conducting research. You could mention that you create detailed research plans, break down large tasks into smaller ones, and prioritize tasks based on importance and deadlines. Additionally, you could talk about how you utilize organizational tools such as spreadsheets and databases to store data, track progress, and easily access information when needed. Finally, you might also discuss how you take notes during your research process in order to keep track of important ideas or findings.

Example: “I use a variety of strategies to stay organized while conducting research. I always start by creating a detailed research plan that outlines the scope of my work and any deadlines associated with it. From there, I break down large tasks into smaller ones in order to tackle them more efficiently. Additionally, I prioritize tasks based on importance and deadlines in order to remain focused on the task at hand. To help store data, track progress, and access information quickly, I also utilize organizational tools such as spreadsheets and databases. Finally, I take notes during my research process in order to keep track of important ideas or findings.”

7. How do you handle ethical considerations when conducting research?

Research often involves collecting personal data, and it’s important that researchers understand how to approach these situations with respect and integrity. Interviewers want to know that you are aware of ethical considerations and that you are capable of adhering to them. This question is likely to be asked to all potential researchers, as it is an important part of the job.

Talk about the ethical considerations you take into account when conducting research. These can include obtaining informed consent from participants, ensuring confidentiality and anonymity of data, respecting privacy laws, protecting vulnerable populations, and considering potential biases that may arise in your research. You should also mention any processes or protocols you have implemented to ensure ethical compliance with research projects. Finally, emphasize how important it is for researchers to adhere to ethical standards and how seriously you take them.

Example: “I understand the importance of adhering to ethical standards when conducting research, and I take this responsibility very seriously. In my current position as a researcher at ABC University, I follow a strict protocol for obtaining informed consent from participants and ensuring that data is kept confidential and anonymous. I also make sure to consider any potential biases in our research before collecting data and am familiar with applicable privacy laws. Lastly, I always strive to protect vulnerable populations, such as children or those with disabilities, when conducting research.”

8. Have you ever encountered a situation where you had to adjust your research methodology due to unexpected circumstances?

Research is a dynamic process and researchers must be prepared to adjust their methods as needed. This question is designed to assess the flexibility of potential candidates and their ability to think on their feet. It also provides insight into how well a candidate understands the research process, including how to identify and address potential problems.

To answer this question, provide an example of a situation where you had to adjust your research methodology due to unexpected circumstances. Explain how you identified the problem and how you adjusted your methods in order to successfully complete the project. Be sure to emphasize any creative solutions you implemented and the positive outcome that resulted from your adjustment.

Example: “I recently encountered a situation where I had to adjust my research methodology due to unexpected circumstances. I was conducting a survey to analyze consumer behavior in relation to a new product launch. After collecting the first round of data, I noticed a discrepancy in the results that could not be explained. After further investigation, I realized that the sample size I was using was not large enough to accurately capture the data. I quickly adjusted my methodology by increasing the sample size and collecting more data, which ultimately allowed me to identify the discrepancy and provide an accurate analysis of consumer behavior.”

9. Describe a time when you had to present your research findings in a clear and concise manner.

Researchers often have to communicate their findings to colleagues, stakeholders, and the public. The ability to communicate complex research findings in an understandable way is a key skill for someone in this role. This question allows the interviewer to gauge your ability to explain complex concepts in a clear and concise manner.

You should come prepared with an example of a time when you had to present your research findings. Talk about the project, what the goal was, and how you went about presenting it. If possible, provide specific details such as the type of presentation (oral, written, etc.), who you presented to, and the feedback you received. You should also explain the strategies that you used to make sure that the audience understood your message. This could include using visual aids, breaking down complex concepts into simpler terms, or providing examples to illustrate your points.

Example: “My most recent research project focused on the long-term effects of climate change on agricultural production. I knew that it was important to make sure that the findings were presented in a way that was easy to understand and digest. I created a PowerPoint presentation that included visuals and graphs to illustrate my points, as well as a written report that provided a detailed breakdown of the findings. I then presented my findings to a group of stakeholders and received positive feedback. They appreciated my ability to take complex concepts and explain them in a way that was easy to understand.”

10. Do you have experience working with large datasets?

Many research roles require the ability to work with large datasets and analyze the information within them. This question helps employers understand how comfortable you are with such tasks, and it also serves as a way to gauge your technical skills. To answer this question, talk about how you’ve used various tools and techniques to analyze data and how you’ve been able to draw meaningful insights from it.

Start by talking about the types of datasets you’ve worked with, such as structured or unstructured data, and explain how you’ve gone about analyzing them. Then, provide a few examples of projects you’ve completed that involved working with large datasets. Finally, discuss any tools or techniques you’ve used to work with the data, such as statistical software, data visualization tools, machine learning algorithms, etc. Be sure to emphasize your ability to draw meaningful insights from the data and how those insights have helped inform decisions.

Example: “I have experience working with large datasets in both structured and unstructured formats. I have utilized various tools and techniques to analyze the data, such as statistical software and data visualization tools. I’ve also employed machine learning algorithms to uncover patterns and trends from the data. For example, in my most recent project I utilized a variety of data sources to identify potential new markets for our company. Through analyzing the data, I was able to identify key demographic, geographic, and psychographic trends that we could use to target our new customers. This analysis provided valuable insights that informed our marketing strategy and ultimately led to increased sales.”

11. What challenges have you faced when collecting primary data for a research project?

Research often involves gathering primary data from sources such as surveys, interviews, focus groups, and observations. It’s important to determine whether the candidate has the skills necessary to design and implement a research project in order to successfully collect data. This question helps the interviewer understand the candidate’s ability to handle the logistics and challenges of primary data collection.

When answering this question, it’s important to provide specific examples of challenges you have faced and how you overcame them. For example, you could talk about the challenge of finding participants for a survey or focus group, or the difficulty in scheduling interviews with busy professionals. You can also discuss any logistical issues that arose during data collection, such as having unreliable equipment or dealing with uncooperative participants. Be sure to emphasize your problem-solving skills and ability to think on your feet when facing unexpected obstacles.

Example: “I’ve encountered a few challenges when gathering primary data for research projects. For example, when I was working on a survey project for a university, it took me several weeks to find participants willing to answer the survey. I had to be creative in my approach and reach out to different groups, such as student organizations, to recruit participants. I also encountered a few logistical issues, such as having unreliable equipment or dealing with uncooperative participants. I was able to quickly come up with solutions to these issues, such as having backup equipment and developing strategies to engage the participants. Overall, I was able to successfully gather the data I needed and produce valuable research findings.”

12. How do you approach writing up a research paper or report?

Research is a process that requires both creativity and structure. As a researcher, you must be able to synthesize information from a variety of sources, develop strong arguments, and communicate those arguments clearly and concisely in written form. Being able to articulate your approach to researching and writing up a paper will demonstrate your ability to think critically and logically.

Your answer should include the steps you take when writing up a research paper or report. This could include outlining your topic, researching relevant sources, organizing and synthesizing data, developing an argument, drafting and revising the paper, and proofreading for accuracy. It is also important to emphasize how you use critical thinking skills to develop strong arguments and draw meaningful conclusions from your research. Finally, make sure to mention any specific techniques or strategies that you have used successfully in the past.

Example: “When writing up a research paper or report, I approach the task systematically. I begin by outlining my topic and any relevant research questions. I then conduct research to find relevant sources, both primary and secondary. I carefully review and analyze the information I find, and use it to develop my argument. After that, I draft and revise the paper, making sure to include evidence to support my points. Finally, I proofread for accuracy and clarity. Throughout the process, I strive to use critical thinking skills to ensure that my arguments are sound and my conclusions are meaningful.”

13. What techniques do you use to identify potential sources of bias in your research?

Researchers need to be able to identify potential sources of bias in their work, such as selection bias or confirmation bias, in order to ensure the accuracy of their data and the validity of their results. By asking this question, the interviewer is gauging your ability to identify potential sources of bias and how you handle them.

To answer this question, you should discuss the techniques you use to identify potential sources of bias in your research. This could include methods such as double-checking data for accuracy and completeness, using multiple sources of information, or conducting blind studies. Additionally, you can talk about how you handle any biases you may find, such as adjusting your research design or changing your methodology. Be sure to emphasize that accuracy and validity are important to you and that you take steps to ensure they remain a priority.

Example: “I understand the importance of accuracy and validity in research, so I always strive to identify and address any potential sources of bias. I use several techniques to identify bias, such as double-checking my data for accuracy and completeness, using multiple sources of information, and conducting blind studies. When I do identify a potential source of bias, I adjust my research design or change my methodology to address it. I also make sure to communicate any changes to my team and stakeholders to ensure that we’re all on the same page.”

14. How do you evaluate the quality of secondary sources used in your research?

One of the most important skills of a researcher is being able to evaluate the quality of sources used in research. This question allows the interviewer to get a better understanding of your research process and your ability to critically evaluate sources. It also allows them to gauge your level of experience in the field and your knowledge of the research landscape.

To answer this question, you should explain your process for evaluating secondary sources. You can talk about the criteria that you use to evaluate a source’s credibility such as its author or publisher, the date of publication, and any peer reviews that have been conducted on the source. Additionally, you can mention any methods you use to assess the accuracy of information in the source such as cross-referencing with other sources or conducting additional research on the topic. Finally, you should discuss how you use these evaluations to inform your own research.

Example: “When evaluating the quality of secondary sources I use in my research, I consider a few key factors. I always look at the author or publisher of the source, the date of publication, and any peer reviews that have been conducted. I also use a variety of methods to assess the accuracy of the information in the source, such as cross-referencing with other sources and conducting additional research. From there, I use my evaluations to inform my own research and determine how best to use the source. This helps me ensure that I’m using the most reliable and up-to-date sources in my research.”

15. What strategies do you use to keep track of changes in the field of research you are studying?

Research is an ever-evolving field and keeping up with changes in the field is essential to remain relevant and up to date. Interviewers want to know that you have the skills and strategies to stay on top of the latest research, trends, and developments in the field. They’ll be looking for evidence that you have the self-discipline and organizational skills to stay on top of your work and be able to provide timely, accurate research.

You should be prepared to discuss the strategies and tools you use to stay up-to-date on changes in your field. Talk about how you keep track of new research articles, publications, conferences, and other sources of information that are relevant to your work. You can also talk about how you use technology such as RSS feeds, social media, or email alerts to ensure that you’re aware of any news or updates related to your research. Additionally, mention any methods you have for organizing and cataloging the information you collect so it is easily accessible when needed.

Example: “To stay on top of changes in my field, I use a variety of strategies and tools. I subscribe to relevant RSS feeds and email alerts to ensure I’m aware of any new research articles or publications. I also use social media to follow industry leaders and experts in the field and get updates on their work. I also keep an organized library of research material that I have collected over the years. I use a combination of software tools and physical filing systems to keep track of all the information I need. This allows me to quickly access any information I need, when I need it.”

16. How do you decide which research questions to pursue?

Being a researcher requires the ability to prioritize and select the best questions to pursue in order to achieve the desired outcome. This question helps the interviewer get a sense of your process and how you approach problem solving. It also gives them an insight into your critical thinking skills, as well as your ability to analyze data and make meaningful conclusions.

The best way to answer this question is to provide a step-by-step approach of how you decide which research questions to pursue. Start by explaining the research process you go through, such as collecting data, analyzing it and forming hypotheses. Then explain how you prioritize certain questions based on their importance and relevance to the project at hand. Finally, discuss how you use your findings to make informed decisions about which questions are worth pursuing further.

Example: “When I’m deciding which research questions to pursue, I start by gathering all the available data related to the project. From there, I analyze the data to form hypotheses and then prioritize the questions based on their importance and relevance to the project. I also consider the impact each question could have on the overall outcome of the research. Once I have a list of the most important questions, I evaluate the data and use my findings to make informed decisions about which questions are worth pursuing further. Ultimately, my goal is to select the best questions that will yield the most meaningful results.”

17. What is your experience with peer review processes?

Peer review is a critical part of the research process. It requires that researchers review and critique each other’s work in order to ensure that the research is unbiased and credible. This question is a way for the interviewer to assess your knowledge of the research process and your ability to work with other researchers.

To answer this question, you should provide specific examples of your experience with peer review processes. Talk about how you have worked with other researchers to review and critique their work, as well as how you have incorporated feedback from peers into your own research. You can also discuss any challenges or successes you had during the process. Finally, emphasize your understanding of the importance of peer review in the research process and why it is necessary for producing high-quality results.

Example: “I have extensive experience with peer review processes, both as a reviewer and as an author. I have worked with other researchers to review their work and provide constructive feedback, as well as incorporating feedback from peers into my own research. I understand the importance of peer review in the research process and am committed to producing high-quality results. I have also had success in resolving disagreements between reviewers and authors when needed, and I have a strong track record of producing quality research that has been accepted for publication.”

18. How do you manage competing demands on your time when conducting research?

Research can be a demanding job, with a lot of deadlines, competing agendas, and complex data sets to analyze. The interviewer wants to make sure you can prioritize tasks, keep track of multiple projects, and adjust when needed. Your ability to manage competing demands on your time is a key indicator of how successful you will be at the job.

To answer this question, you should focus on how you prioritize tasks and manage deadlines. Talk about the strategies you use to stay organized, such as setting up a calendar or using task management tools. Also discuss any techniques you have for staying focused when there are multiple demands on your time. Finally, emphasize your ability to adjust your plans when needed, such as if an unexpected project comes in or a deadline needs to be moved up.

Example: “I have a few strategies for managing competing demands on my time when conducting research. I prioritize tasks by breaking them down into smaller, manageable chunks and then assigning deadlines to each one. I also use task management tools to keep track of what I need to do and stay organized. And I make sure to take regular breaks to stay focused and energized. When I need to adjust my plans due to unexpected events, I’m able to reassess and re-prioritize my tasks accordingly. I’m confident in my ability to manage competing demands on my time and stay organized when conducting research.”

19. What strategies do you use to ensure that your research remains relevant and up-to-date?

Research is a dynamic field, and the best researchers know that they need to stay informed of the latest developments and trends in order to remain relevant. This question allows your interviewer to assess your knowledge of the field and your commitment to keeping up with the latest research. It shows that you are aware of the need to stay ahead of the curve and that you have the skills to do so.

To answer this question, you should start by discussing the strategies that you use to stay informed. You can talk about how you read industry publications, attend conferences and seminars, or network with other researchers in your field. You should also mention any specific platforms or tools that you use to keep up-to-date on the latest research. Finally, you should explain why staying informed is important to you and how it helps you do better work.

Example: “I use a variety of strategies to ensure that my research remains relevant and up-to-date. I read industry publications, attend conferences and seminars, and network with other researchers to stay informed. I also use specific tools like Google Scholar and ResearchGate to keep track of new developments in my field. It’s important to me to stay ahead of the curve and make sure that my research is as current and relevant as possible. Doing so not only helps me do better work, but it also helps me to provide more value to my employer and contribute to the success of their projects.”

20. How do you ensure that your research meets the highest standards of academic integrity?

Research is the backbone of any organization, and it is crucial for a researcher to maintain the highest standards of academic integrity. Employers want to know that you understand the importance of being thorough and accurate, as well as ethical in your research. They may also want to know how you go about verifying the accuracy of your data and sources, and how you ensure that your research meets the standards expected in the field.

Start off by detailing the steps you take to ensure that your research meets academic integrity standards. For example, you can mention how you always double-check sources and data for accuracy and reliability, or how you use peer review processes to vet your work. Additionally, be sure to emphasize any specific techniques or methods you have used in the past to verify the validity of your findings. Finally, explain why it is important to you to maintain the highest level of academic integrity in your research.

Example: “I understand the importance of academic integrity and take it very seriously in my research. To ensure the highest standards of accuracy, I always double-check my sources and data, and use peer review processes to vet my work. Additionally, I frequently use replication studies to verify the validity of my findings. To me, it is essential to ensure that my research meets the highest standards of academic integrity, as it is the foundation of any successful research project.”

20 Interview Questions Every Data Center Engineer Must Be Able To Answer

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