how to develop quantitative research questions

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How to structure quantitative research questions

There is no "one best way" to structure a quantitative research question. However, to create a well-structured quantitative research question, we recommend an approach that is based on four steps : (1) Choosing the type of quantitative research question you are trying to create (i.e., descriptive, comparative or relationship-based); (2) Identifying the different types of variables you are trying to measure, manipulate and/or control, as well as any groups you may be interested in; (3) Selecting the appropriate structure for the chosen type of quantitative research question, based on the variables and/or groups involved; and (4) Writing out the problem or issues you are trying to address in the form of a complete research question. In this article, we discuss each of these four steps , as well as providing examples for the three types of quantitative research question you may want to create: descriptive , comparative and relationship-based research questions .

• STEP ONE: Choose the type of quantitative research question (i.e., descriptive, comparative or relationship) you are trying to create
• STEP TWO: Identify the different types of variable you are trying to measure, manipulate and/or control, as well as any groups you may be interested in
• STEP THREE: Select the appropriate structure for the chosen type of quantitative research question, based on the variables and/or groups involved
• STEP FOUR: Write out the problem or issues you are trying to address in the form of a complete research question

STEP ONE Choose the type of quantitative research question (i.e., descriptive, comparative or relationship) you are trying to create

The type of quantitative research question that you use in your dissertation (i.e., descriptive , comparative and/or relationship-based ) needs to be reflected in the way that you write out the research question; that is, the word choice and phrasing that you use when constructing a research question tells the reader whether it is a descriptive, comparative or relationship-based research question. Therefore, in order to know how to structure your quantitative research question, you need to start by selecting the type of quantitative research question you are trying to create: descriptive, comparative and/or relationship-based.

STEP TWO Identify the different types of variable you are trying to measure, manipulate and/or control, as well as any groups you may be interested in

Whether you are trying to create a descriptive, comparative or relationship-based research question, you will need to identify the different types of variable that you are trying to measure , manipulate and/or control . If you are unfamiliar with the different types of variable that may be part of your study, the article, Types of variable , should get you up to speed. It explains the two main types of variables: categorical variables (i.e., nominal , dichotomous and ordinal variables) and continuous variables (i.e., interval and ratio variables). It also explains the difference between independent and dependent variables , which you need to understand to create quantitative research questions.

To provide a brief explanation; a variable is not only something that you measure , but also something that you can manipulate and control for. In most undergraduate and master's level dissertations, you are only likely to measure and manipulate variables. You are unlikely to carry out research that requires you to control for variables, although some supervisors will expect this additional level of complexity. If you plan to only create descriptive research questions , you may simply have a number of dependent variables that you need to measure. However, where you plan to create comparative and/or relationship-based research questions , you will deal with both dependent and independent variables . An independent variable (sometimes called an experimental or predictor variable ) is a variable that is being manipulated in an experiment in order to observe the effect this has on a dependent variable (sometimes called an outcome variable ). For example, if we were interested in investigating the relationship between gender and attitudes towards music piracy amongst adolescents , the independent variable would be gender and the dependent variable attitudes towards music piracy . This example also highlights the need to identify the group(s) you are interested in. In this example, the group of interest are adolescents .

Once you identifying the different types of variable you are trying to measure, manipulate and/or control, as well as any groups you may be interested in, it is possible to start thinking about the way that the three types of quantitative research question can be structured . This is discussed next.

STEP THREE Select the appropriate structure for the chosen type of quantitative research question, based on the variables and/or groups involved

The structure of the three types of quantitative research question differs, reflecting the goals of the question, the types of variables, and the number of variables and groups involved. By structure , we mean the components of a research question (i.e., the types of variables, groups of interest), the number of these different components (i.e., how many variables and groups are being investigated), and the order that these should be presented (e.g., independent variables before dependent variables). The appropriate structure for each of these quantitative research questions is set out below:

Structure of descriptive research questions

• Structure of comparative research questions
• Structure of relationship-based research questions

There are six steps required to construct a descriptive research question: (1) choose your starting phrase; (2) identify and name the dependent variable; (3) identify the group(s) you are interested in; (4) decide whether dependent variable or group(s) should be included first, last or in two parts; (5) include any words that provide greater context to your question; and (6) write out the descriptive research question. Each of these steps is discussed in turn:

Choose your starting phrase

Identify and name the dependent variable

Identify the group(s) you are interested in

Decide whether the dependent variable or group(s) should be included first, last or in two parts

Include any words that provide greater context to your question

Write out the descriptive research question

FIRST Choose your starting phrase

You can start descriptive research questions with any of the following phrases:

How many? How often? How frequently? How much? What percentage? What proportion? To what extent? What is? What are?

Some of these starting phrases are highlighted in blue text in the examples below:

How many calories do American men and women consume per day?

How often do British university students use Facebook each week?

What are the most important factors that influence the career choices of Australian university students?

What proportion of British male and female university students use the top 5 social networks?

What percentage of American men and women exceed their daily calorific allowance?

SECOND Identify and name the dependent variable

All descriptive research questions have a dependent variable. You need to identify what this is. However, how the dependent variable is written out in a research question and what you call it are often two different things. In the examples below, we have illustrated the name of the dependent variable and highlighted how it would be written out in the blue text .

The first two examples highlight that while the name of the dependent variable is the same, namely daily calorific intake , the way that this dependent variable is written out differs in each case.

THIRD Identify the group(s) you are interested in

All descriptive research questions have at least one group , but can have multiple groups . You need to identify this group(s). In the examples below, we have identified the group(s) in the green text .

What are the most important factors that influence the career choices of Australian university students ?

The examples illustrate the difference between the use of a single group (e.g., British university students ) and multiple groups (e.g., American men and women ).

FOURTH Decide whether the dependent variable or group(s) should be included first, last or in two parts

Sometimes it makes more sense for the dependent variable to appear before the group(s) you are interested in, but sometimes it is the opposite way around. The following examples illustrate this, with the group(s) in green text and the dependent variable in blue text :

Group 1st; dependent variable 2nd:

How often do British university students use Facebook each week ?

Dependent variable 1st; group 2nd:

Sometimes, the dependent variable needs to be broken into two parts around the group(s) you are interested in so that the research question flows. Again, the group(s) are in green text and the dependent variable is in blue text :

How many calories do American men and women consume per day ?

Of course, you could choose to restructure the question above so that you do not have to split the dependent variable into two parts. For example:

How many calories are consumed per day by American men and women ?

When deciding whether the dependent variable or group(s) should be included first or last, and whether the dependent variable should be broken into two parts, the main thing you need to think about is flow : Does the question flow? Is it easy to read?

FIFTH Include any words that provide greater context to your question

Sometimes the name of the dependent variable provides all the explanation we need to know what we are trying to measure. Take the following examples:

In the first example, the dependent variable is daily calorific intake (i.e., calories consumed per day). Clearly, this descriptive research question is asking us to measure the number of calories American men and women consume per day. In the second example, the dependent variable is Facebook usage per week. Again, the name of this dependent variable makes it easy for us to understand that we are trying to measure the often (i.e., how frequently; e.g., 16 times per week) British university students use Facebook.

However, sometimes a descriptive research question is not simply interested in measuring the dependent variable in its entirety, but a particular component of the dependent variable. Take the following examples in red text :

In the first example, the research question is not simply interested in the daily calorific intake of American men and women, but what percentage of these American men and women exceeded their daily calorific allowance. So the dependent variable is still daily calorific intake, but the research question aims to understand a particular component of that dependent variable (i.e., the percentage of American men and women exceeding the recommend daily calorific allowance). In the second example, the research question is not only interested in what the factors influencing career choices are, but which of these factors are the most important.

Therefore, when you think about constructing your descriptive research question, make sure you have included any words that provide greater context to your question.

SIXTH Write out the descriptive research question

Once you have these details ? (1) the starting phrase, (2) the name of the dependent variable, (3) the name of the group(s) you are interested in, and (4) any potential joining words ? you can write out the descriptive research question in full. The example descriptive research questions discussed above are written out in full below:

In the section that follows, the structure of comparative research questions is discussed.

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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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Research Writing and Analysis

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• Step 1: Seek Out Evidence
• Step 2: Explain
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Quantitative Research Questions

• Qualitative Research Questions
• Trustworthiness of Qualitative Data
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Research Questions Tutorial

What is a Quantitative Research Question?

A research question is the driving question(s) behind your research. It should be about an issue that you are genuinely curious and/or passionate about. A good research question is:

Clear :  The purpose of the study should be clear to the reader, without additional explanation.

Focused :  The question is specific. Narrow enough in scope that it can be thoroughly explored within the page limits of the research paper. It brings the common thread that weaves throughout the paper.

Concise :  Clarity should be obtained in the fewest possible words. This is not the place to add unnecessary descriptors and fluff (i.e. “very”).

Complex :  A true research question is not a yes/no question. It brings together a collection of ideas obtained from extensive research, without losing focus or clarity.

Arguable :  It doesn’t provide a definitive answer. Rather, it presents a potential position that future studies could debate.

The format of a research question will depend on a number of factors, including the area of discipline, the proposed research design, and the anticipated analysis.

Unclear:   Does loneliness cause the jitters? Clear:   What is the relationship between feelings of loneliness, as measured by the Lonely Inventory, and uncontrollable shaking?

Unfocused:   What’s the best way to learn? Focused:   In what ways do different teaching styles affect recall and retention in middle schoolers?

Verbose :  Can reading different books of varying genres influence a person’s performance on a test that measures familiarity and knowledge of different words?

Concise:   How does exposure to words through reading novels influence a person’s language development?

Definitive:   What is my favorite color? Arguable:   What is the most popular color amongst teens in America?

Developing a Quantitative Research Question

Developing a research question.

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Formulation of Research Question – Stepwise Approach

Simmi k. ratan.

Department of Pediatric Surgery, Maulana Azad Medical College, New Delhi, India

1 Department of Community Medicine, North Delhi Municipal Corporation Medical College, New Delhi, India

2 Department of Pediatric Surgery, Batra Hospital and Research Centre, New Delhi, India

Formulation of research question (RQ) is an essentiality before starting any research. It aims to explore an existing uncertainty in an area of concern and points to a need for deliberate investigation. It is, therefore, pertinent to formulate a good RQ. The present paper aims to discuss the process of formulation of RQ with stepwise approach. The characteristics of good RQ are expressed by acronym “FINERMAPS” expanded as feasible, interesting, novel, ethical, relevant, manageable, appropriate, potential value, publishability, and systematic. A RQ can address different formats depending on the aspect to be evaluated. Based on this, there can be different types of RQ such as based on the existence of the phenomenon, description and classification, composition, relationship, comparative, and causality. To develop a RQ, one needs to begin by identifying the subject of interest and then do preliminary research on that subject. The researcher then defines what still needs to be known in that particular subject and assesses the implied questions. After narrowing the focus and scope of the research subject, researcher frames a RQ and then evaluates it. Thus, conception to formulation of RQ is very systematic process and has to be performed meticulously as research guided by such question can have wider impact in the field of social and health research by leading to formulation of policies for the benefit of larger population.

I NTRODUCTION

A good research question (RQ) forms backbone of a good research, which in turn is vital in unraveling mysteries of nature and giving insight into a problem.[ 1 , 2 , 3 , 4 ] RQ identifies the problem to be studied and guides to the methodology. It leads to building up of an appropriate hypothesis (Hs). Hence, RQ aims to explore an existing uncertainty in an area of concern and points to a need for deliberate investigation. A good RQ helps support a focused arguable thesis and construction of a logical argument. Hence, formulation of a good RQ is undoubtedly one of the first critical steps in the research process, especially in the field of social and health research, where the systematic generation of knowledge that can be used to promote, restore, maintain, and/or protect health of individuals and populations.[ 1 , 3 , 4 ] Basically, the research can be classified as action, applied, basic, clinical, empirical, administrative, theoretical, or qualitative or quantitative research, depending on its purpose.[ 2 ]

Research plays an important role in developing clinical practices and instituting new health policies. Hence, there is a need for a logical scientific approach as research has an important goal of generating new claims.[ 1 ]

C HARACTERISTICS OF G OOD R ESEARCH Q UESTION

“The most successful research topics are narrowly focused and carefully defined but are important parts of a broad-ranging, complex problem.”

A good RQ is an asset as it:

• Details the problem statement
• Further describes and refines the issue under study
• Adds focus to the problem statement
• Guides data collection and analysis
• Sets context of research.

Hence, while writing RQ, it is important to see if it is relevant to the existing time frame and conditions. For example, the impact of “odd-even” vehicle formula in decreasing the level of air particulate pollution in various districts of Delhi.

A good research is represented by acronym FINERMAPS[ 5 ]

Interesting.

• Appropriate
• Potential value and publishability
• Systematic.

Feasibility means that it is within the ability of the investigator to carry out. It should be backed by an appropriate number of subjects and methodology as well as time and funds to reach the conclusions. One needs to be realistic about the scope and scale of the project. One has to have access to the people, gadgets, documents, statistics, etc. One should be able to relate the concepts of the RQ to the observations, phenomena, indicators, or variables that one can access. One should be clear that the collection of data and the proceedings of project can be completed within the limited time and resources available to the investigator. Sometimes, a RQ appears feasible, but when fieldwork or study gets started, it proves otherwise. In this situation, it is important to write up the problems honestly and to reflect on what has been learned. One should try to discuss with more experienced colleagues or the supervisor so as to develop a contingency plan to anticipate possible problems while working on a RQ and find possible solutions in such situations.

This is essential that one has a real grounded interest in one's RQ and one can explore this and back it up with academic and intellectual debate. This interest will motivate one to keep going with RQ.

The question should not simply copy questions investigated by other workers but should have scope to be investigated. It may aim at confirming or refuting the already established findings, establish new facts, or find new aspects of the established facts. It should show imagination of the researcher. Above all, the question has to be simple and clear. The complexity of a question can frequently hide unclear thoughts and lead to a confused research process. A very elaborate RQ, or a question which is not differentiated into different parts, may hide concepts that are contradictory or not relevant. This needs to be clear and thought-through. Having one key question with several subcomponents will guide your research.

This is the foremost requirement of any RQ and is mandatory to get clearance from appropriate authorities before stating research on the question. Further, the RQ should be such that it minimizes the risk of harm to the participants in the research, protect the privacy and maintain their confidentiality, and provide the participants right to withdraw from research. It should also guide in avoiding deceptive practices in research.

The question should of academic and intellectual interest to people in the field you have chosen to study. The question preferably should arise from issues raised in the current situation, literature, or in practice. It should establish a clear purpose for the research in relation to the chosen field. For example, filling a gap in knowledge, analyzing academic assumptions or professional practice, monitoring a development in practice, comparing different approaches, or testing theories within a specific population are some of the relevant RQs.

Manageable (M): It has the similar essence as of feasibility but mainly means that the following research can be managed by the researcher.

Appropriate (A): RQ should be appropriate logically and scientifically for the community and institution.

Potential value and publishability (P): The study can make significant health impact in clinical and community practices. Therefore, research should aim for significant economic impact to reduce unnecessary or excessive costs. Furthermore, the proposed study should exist within a clinical, consumer, or policy-making context that is amenable to evidence-based change. Above all, a good RQ must address a topic that has clear implications for resolving important dilemmas in health and health-care decisions made by one or more stakeholder groups.

Systematic (S): Research is structured with specified steps to be taken in a specified sequence in accordance with the well-defined set of rules though it does not rule out creative thinking.

Example of RQ: Would the topical skin application of oil as a skin barrier reduces hypothermia in preterm infants? This question fulfills the criteria of a good RQ, that is, feasible, interesting, novel, ethical, and relevant.

Types of research question

A RQ can address different formats depending on the aspect to be evaluated.[ 6 ] For example:

• Existence: This is designed to uphold the existence of a particular phenomenon or to rule out rival explanation, for example, can neonates perceive pain?
• Description and classification: This type of question encompasses statement of uniqueness, for example, what are characteristics and types of neuropathic bladders?
• Composition: It calls for breakdown of whole into components, for example, what are stages of reflux nephropathy?
• Relationship: Evaluate relation between variables, for example, association between tumor rupture and recurrence rates in Wilm's tumor
• Descriptive—comparative: Expected that researcher will ensure that all is same between groups except issue in question, for example, Are germ cell tumors occurring in gonads more aggressive than those occurring in extragonadal sites?
• Causality: Does deletion of p53 leads to worse outcome in patients with neuroblastoma?
• Causality—comparative: Such questions frequently aim to see effect of two rival treatments, for example, does adding surgical resection improves survival rate outcome in children with neuroblastoma than with chemotherapy alone?
• Causality–Comparative interactions: Does immunotherapy leads to better survival outcome in neuroblastoma Stage IV S than with chemotherapy in the setting of adverse genetic profile than without it? (Does X cause more changes in Y than those caused by Z under certain condition and not under other conditions).

How to develop a research question

• Begin by identifying a broader subject of interest that lends itself to investigate, for example, hormone levels among hypospadias
• Do preliminary research on the general topic to find out what research has already been done and what literature already exists.[ 7 ] Therefore, one should begin with “information gaps” (What do you already know about the problem? For example, studies with results on testosterone levels among hypospadias
• What do you still need to know? (e.g., levels of other reproductive hormones among hypospadias)
• What are the implied questions: The need to know about a problem will lead to few implied questions. Each general question should lead to more specific questions (e.g., how hormone levels differ among isolated hypospadias with respect to that in normal population)
• Narrow the scope and focus of research (e.g., assessment of reproductive hormone levels among isolated hypospadias and hypospadias those with associated anomalies)
• Is RQ clear? With so much research available on any given topic, RQs must be as clear as possible in order to be effective in helping the writer direct his or her research
• Is the RQ focused? RQs must be specific enough to be well covered in the space available
• Is the RQ complex? RQs should not be answerable with a simple “yes” or “no” or by easily found facts. They should, instead, require both research and analysis on the part of the writer
• Is the RQ one that is of interest to the researcher and potentially useful to others? Is it a new issue or problem that needs to be solved or is it attempting to shed light on previously researched topic
• Is the RQ researchable? Consider the available time frame and the required resources. Is the methodology to conduct the research feasible?
• Is the RQ measurable and will the process produce data that can be supported or contradicted?
• Is the RQ too broad or too narrow?
• Create Hs: After formulating RQ, think where research is likely to be progressing? What kind of argument is likely to be made/supported? What would it mean if the research disputed the planned argument? At this step, one can well be on the way to have a focus for the research and construction of a thesis. Hs consists of more specific predictions about the nature and direction of the relationship between two variables. It is a predictive statement about the outcome of the research, dictate the method, and design of the research[ 1 ]
• Understand implications of your research: This is important for application: whether one achieves to fill gap in knowledge and how the results of the research have practical implications, for example, to develop health policies or improve educational policies.[ 1 , 8 ]

Brainstorm/Concept map for formulating research question

• First, identify what types of studies have been done in the past?
• Is there a unique area that is yet to be investigated or is there a particular question that may be worth replicating?
• Begin to narrow the topic by asking open-ended “how” and “why” questions
• Evaluate the question
• Develop a Hypothesis (Hs)
• Write down the RQ.

Writing down the research question

• State the question in your own words
• Write down the RQ as completely as possible.

For example, Evaluation of reproductive hormonal profile in children presenting with isolated hypospadias)

• Divide your question into concepts. Narrow to two or three concepts (reproductive hormonal profile, isolated hypospadias, compare with normal/not isolated hypospadias–implied)
• Specify the population to be studied (children with isolated hypospadias)
• Refer to the exposure or intervention to be investigated, if any
• Reflect the outcome of interest (hormonal profile).

Another example of a research question

Would the topical skin application of oil as a skin barrier reduces hypothermia in preterm infants? Apart from fulfilling the criteria of a good RQ, that is, feasible, interesting, novel, ethical, and relevant, it also details about the intervention done (topical skin application of oil), rationale of intervention (as a skin barrier), population to be studied (preterm infants), and outcome (reduces hypothermia).

Other important points to be heeded to while framing research question

• Make reference to a population when a relationship is expected among a certain type of subjects
• RQs and Hs should be made as specific as possible
• Avoid words or terms that do not add to the meaning of RQs and Hs
• Stick to what will be studied, not implications
• Name the variables in the order in which they occur/will be measured
• Avoid the words significant/”prove”
• Avoid using two different terms to refer to the same variable.

Some of the other problems and their possible solutions have been discussed in Table 1 .

Potential problems and solutions while making research question

G OING B EYOND F ORMULATION OF R ESEARCH Q UESTION–THE P ATH A HEAD

Once RQ is formulated, a Hs can be developed. Hs means transformation of a RQ into an operational analog.[ 1 ] It means a statement as to what prediction one makes about the phenomenon to be examined.[ 4 ] More often, for case–control trial, null Hs is generated which is later accepted or refuted.

A strong Hs should have following characteristics:

• Give insight into a RQ
• Are testable and measurable by the proposed experiments
• Have logical basis
• Follows the most likely outcome, not the exceptional outcome.

E XAMPLES OF R ESEARCH Q UESTION AND H YPOTHESIS

Research question-1.

• Does reduced gap between the two segments of the esophagus in patients of esophageal atresia reduces the mortality and morbidity of such patients?

Hypothesis-1

• Reduced gap between the two segments of the esophagus in patients of esophageal atresia reduces the mortality and morbidity of such patients
• In pediatric patients with esophageal atresia, gap of <2 cm between two segments of the esophagus and proper mobilization of proximal pouch reduces the morbidity and mortality among such patients.

Research question-2

• Does application of mitomycin C improves the outcome in patient of corrosive esophageal strictures?

Hypothesis-2

In patients aged 2–9 years with corrosive esophageal strictures, 34 applications of mitomycin C in dosage of 0.4 mg/ml for 5 min over a period of 6 months improve the outcome in terms of symptomatic and radiological relief. Some other examples of good and bad RQs have been shown in Table 2 .

Examples of few bad (left-hand side column) and few good (right-hand side) research questions

R ESEARCH Q UESTION AND S TUDY D ESIGN

RQ determines study design, for example, the question aimed to find the incidence of a disease in population will lead to conducting a survey; to find risk factors for a disease will need case–control study or a cohort study. RQ may also culminate into clinical trial.[ 9 , 10 ] For example, effect of administration of folic acid tablet in the perinatal period in decreasing incidence of neural tube defect. Accordingly, Hs is framed.

Appropriate statistical calculations are instituted to generate sample size. The subject inclusion, exclusion criteria and time frame of research are carefully defined. The detailed subject information sheet and pro forma are carefully defined. Moreover, research is set off few examples of research methodology guided by RQ:

• Incidence of anorectal malformations among adolescent females (hospital-based survey)
• Risk factors for the development of spontaneous pneumoperitoneum in pediatric patients (case–control design and cohort study)
• Effect of technique of extramucosal ureteric reimplantation without the creation of submucosal tunnel for the preservation of upper tract in bladder exstrophy (clinical trial).

The results of the research are then be available for wider applications for health and social life

C ONCLUSION

A good RQ needs thorough literature search and deep insight into the specific area/problem to be investigated. A RQ has to be focused yet simple. Research guided by such question can have wider impact in the field of social and health research by leading to formulation of policies for the benefit of larger population.

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Designing a Research Question

• First Online: 29 November 2023

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• Camille L. Bryant 3  

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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.

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Onwuegbuzie A, Leech N. Linking research questions to mixed methods data analysis procedures 1. Qual Rep. 2006;11(3):474–98. https://doi.org/10.46743/2160-3715/2006.1663 .

Article   Google Scholar  

Creswell JW, Poth CN. Qualitative inquiry and research design: choosing among five approaches. 4th ed. Thousand Oaks: Sage; 2018.

Google Scholar  

Johnson B, Christensen LB. Educational research: quantitative, qualitative, and mixed approaches. Thousand Oaks: Sage Publications, Inc.; 2020.

White P. Who’s afraid of research questions? The neglect of research questions in the methods literature and a call for question-led methods teaching. Int J Res Method Educ. 2013;36(3):213–27. https://doi.org/10.1080/1743727x.2013.809413 .

Lingard L. Joining a conversation: the problem/gap/hook heuristic. Perspect Med Educ. 2015;4(5):252–3. https://doi.org/10.1007/s40037-015-0211-y .

Article   PubMed   PubMed Central   Google Scholar  

Dillon JT. The classification of research questions. Rev Educ Res. 1984;54(3):327–61. https://doi.org/10.3102/00346543054003327 .

Dillon JT. Finding the question for evaluation research. Stud Educ Eval. 1987;13(2):139–51. https://doi.org/10.1016/S0191-491X(87)80027-5 .

Smith NL. Toward the justification of claims in evaluation research. Eval Program Plann. 1987;10(4):309–14. https://doi.org/10.1016/0149-7189(87)90002-4 .

Smith NL, Mukherjee P. Classifying research questions addressed in published evaluation studies. Educ Eval Policy Anal. 1994;16(2):223–30. https://doi.org/10.3102/01623737016002223 .

Shaughnessy JJ, Zechmeister EB, Zechmeister JS. Research methods in psychology. 9th ed. New York: McGraw Hill; 2011.

DeCuir-Gunby JT, Schutz PA. Developing a mixed methods proposal a practical guide for beginning researchers. Thousand Oaks: Sage; 2017.

Book   Google Scholar  

Creswell JW, Guetterman TC. Educational research: planning, conducting, and evaluating quantitative and qualitative research. 6th ed. New York: Pearson; 2019.

Ely M, Anzul M, Friedman T, Ganer D, Steinmetz AM. Doing qualitative research: circles within circles. London: Falmer Press; 1991.

Agee J. Developing qualitative research questions: a reflective process. Int J Qual Stud Educ. 2009;22(4):431–47. https://doi.org/10.1080/09518390902736512 .

Johnson RB, Onwuegbuzie AJ. Mixed methods research: a research paradigm whose time has come. Educ Res. 2004;33(7):14–26. https://doi.org/10.3102/0013189x033007014 .

Creamer EG. An introduction to fully integrated mixed methods research. Thousand Oaks: Sage; 2018.

Swales J. Genre analysis: English in academic and research settings. Cambridge: Cambridge University Press; 1990.

Swales J. Research genres: explorations and applications. Cambridge: Cambridge University Press; 2004.

Kendall PC, Norris LA, Rifkin LS, Silk JS. Introducing your research report: writing the introduction. In: Sternberg RJ, editor. Guide to publishing in psychology journals. 2nd ed. Cambridge: Cambridge University Press; 2018. p. 37–53. https://doi.org/10.1017/9781108304443.005 .

Thomson P, Kamler B. Writing for peer reviewed journals: strategies of getting published. Abingdon: Routledge; 2013.

Lingard L. Writing an effective literature review: Part I: Mapping the gap. Perspectives on Medical Education. 2018;7:47–49.

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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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Quantitative Research: Examples of Research Questions and Solutions

Are you ready to embark on a journey into the world of quantitative research? Whether you’re a seasoned researcher or just beginning your academic journey, understanding how to formulate effective research questions is essential for conducting meaningful studies. In this blog post, we’ll explore examples of quantitative research questions across various disciplines and discuss how StatsCamp.org courses can provide the tools and support you need to overcome any challenges you may encounter along the way.

Understanding Quantitative Research Questions

Quantitative research involves collecting and analyzing numerical data to answer research questions and test hypotheses. These questions typically seek to understand the relationships between variables, predict outcomes, or compare groups. Let’s explore some examples of quantitative research questions across different fields:

• What is the relationship between class size and student academic performance?
• Does the use of technology in the classroom improve learning outcomes?
• How does parental involvement affect student achievement?
• What is the effect of a new drug treatment on reducing blood pressure?
• Is there a correlation between physical activity levels and the risk of cardiovascular disease?
• How does socioeconomic status influence access to healthcare services?
• What factors influence consumer purchasing behavior?
• Is there a relationship between advertising expenditure and sales revenue?
• How do demographic variables affect brand loyalty?

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At StatsCamp.org, we understand that navigating the complexities of quantitative research can be daunting. That’s why we offer a range of courses designed to equip you with the knowledge and skills you need to excel in your research endeavors. Whether you’re interested in learning about regression analysis, experimental design, or structural equation modeling, our experienced instructors are here to guide you every step of the way.

Bringing Your Own Data

One of the unique features of StatsCamp.org is the opportunity to bring your own data to the learning process. Our instructors provide personalized guidance and support to help you analyze your data effectively and overcome any roadblocks you may encounter. Whether you’re struggling with data cleaning, model specification, or interpretation of results, our team is here to help you succeed.

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• Latent Profile Analysis Course : Learn how to identify subgroups, or profiles, within a heterogeneous population based on patterns of responses to multiple observed variables.
• Bayesian Statistics Course : A comprehensive introduction to Bayesian data analysis, a powerful statistical approach for inference and decision-making. Through a series of engaging lectures and hands-on exercises, participants will learn how to apply Bayesian methods to a wide range of research questions and data types.
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• Multilevel Modeling Course : A in-depth exploration of this advanced statistical technique, designed to analyze data with nested structures or hierarchies. Whether you’re studying individuals within groups, schools within districts, or any other nested data structure, multilevel modeling provides the tools to account for the dependencies inherent in such data.

As you embark on your journey into quantitative research, remember that StatsCamp.org is here to support you every step of the way. Whether you’re formulating research questions, analyzing data, or interpreting results, our courses provide the knowledge and expertise you need to succeed. Join us today and unlock the power of quantitative research!

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How to Structure Quantitative Research Questions

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Quantitative research aims to measure the numerical relationship between variables and quantify the data collected through statistical analysis. Well-structured research begins with questions that are as specific as possible and adequately frame the problem being investigated. To help you structure your quantitative research questions, consider the following tips:

Define Your Research Objectives

It’s crucial to grasp what you aim to achieve with your research clearly; hence, it’s important to define your research objectives. This can help you identify the specific research questions that need to be answered to meet your objectives. Think about what you hope to get from your research and what data will help you achieve those goals.  

Determine Your Variables

In quantitative research, there are often two different kinds of variables:   

• Independent variables are manipulated to determine their effect on dependent variables.  
• Dependent variables are the actual outcomes of the experiment.   

By determining your variables, you can formulate your research questions more precisely and in a focused manner.   

Use Clear and Concise Language

It is important to communicate your research questions in a way that’s easily understood by your target audience. Avoid using technical or complex language that may confuse or mislead your participants. Instead, use simple and clear language that accurately represents the meaning and intent of your research questions.   

At Sago, we are dedicated to providing exceptional data research services to our clients. Our expert team has extensive experience designing and executing effective quantitative research studies. Contact us today to learn how we can help you achieve your research goals and objectives.  

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How to Develop a Good Research Question? — Types & Examples

Cecilia is living through a tough situation in her research life. Figuring out where to begin, how to start her research study, and how to pose the right question for her research quest, is driving her insane. Well, questions, if not asked correctly, have a tendency to spiral us!

Image Source: https://phdcomics.com/

Questions lead everyone to answers. Research is a quest to find answers. Not the vague questions that Cecilia means to answer, but definitely more focused questions that define your research. Therefore, asking appropriate question becomes an important matter of discussion.

A well begun research process requires a strong research question. It directs the research investigation and provides a clear goal to focus on. Understanding the characteristics of comprising a good research question will generate new ideas and help you discover new methods in research.

In this article, we are aiming to help researchers understand what is a research question and how to write one with examples.

Table of Contents

What Is a Research Question?

A good research question defines your study and helps you seek an answer to your research. Moreover, a clear research question guides the research paper or thesis to define exactly what you want to find out, giving your work its objective. Learning to write a research question is the beginning to any thesis, dissertation , or research paper. Furthermore, the question addresses issues or problems which is answered through analysis and interpretation of data.

Why Is a Research Question Important?

A strong research question guides the design of a study. Moreover, it helps determine the type of research and identify specific objectives. Research questions state the specific issue you are addressing and focus on outcomes of the research for individuals to learn. Therefore, it helps break up the study into easy steps to complete the objectives and answer the initial question.

Types of Research Questions

Research questions can be categorized into different types, depending on the type of research you want to undergo. Furthermore, knowing the type of research will help a researcher determine the best type of research question to use.

1. Qualitative Research Question

Qualitative questions concern broad areas or more specific areas of research. However, unlike quantitative questions, qualitative research questions are adaptable, non-directional and more flexible. Qualitative research question focus on discovering, explaining, elucidating, and exploring.

i. Exploratory Questions

This form of question looks to understand something without influencing the results. The objective of exploratory questions is to learn more about a topic without attributing bias or preconceived notions to it.

Research Question Example: Asking how a chemical is used or perceptions around a certain topic.

ii. Predictive Questions

Predictive research questions are defined as survey questions that automatically predict the best possible response options based on text of the question. Moreover, these questions seek to understand the intent or future outcome surrounding a topic.

Research Question Example: Asking why a consumer behaves in a certain way or chooses a certain option over other.

iii. Interpretive Questions

This type of research question allows the study of people in the natural setting. The questions help understand how a group makes sense of shared experiences with regards to various phenomena. These studies gather feedback on a group’s behavior without affecting the outcome.

Research Question Example: How do you feel about AI assisting publishing process in your research?

2. Quantitative Research Question

Quantitative questions prove or disprove a researcher’s hypothesis through descriptions, comparisons, and relationships. These questions are beneficial when choosing a research topic or when posing follow-up questions that garner more information.

i. Descriptive Questions

It is the most basic type of quantitative research question and it seeks to explain when, where, why, or how something occurred. Moreover, they use data and statistics to describe an event or phenomenon.

Research Question Example: How many generations of genes influence a future generation?

ii. Comparative Questions

Sometimes it’s beneficial to compare one occurrence with another. Therefore, comparative questions are helpful when studying groups with dependent variables.

Example: Do men and women have comparable metabolisms?

iii. Relationship-Based Questions

This type of research question answers influence of one variable on another. Therefore, experimental studies use this type of research questions are majorly.

Example: How is drought condition affect a region’s probability for wildfires.  

How to Write a Good Research Question?

1. Select a Topic

The first step towards writing a good research question is to choose a broad topic of research. You could choose a research topic that interests you, because the complete research will progress further from the research question. Therefore, make sure to choose a topic that you are passionate about, to make your research study more enjoyable.

2. Conduct Preliminary Research

After finalizing the topic, read and know about what research studies are conducted in the field so far. Furthermore, this will help you find articles that talk about the topics that are yet to be explored. You could explore the topics that the earlier research has not studied.

3. Consider Your Audience

The most important aspect of writing a good research question is to find out if there is audience interested to know the answer to the question you are proposing. Moreover, determining your audience will assist you in refining your research question, and focus on aspects that relate to defined groups.

4. Generate Potential Questions

The best way to generate potential questions is to ask open ended questions. Questioning broader topics will allow you to narrow down to specific questions. Identifying the gaps in literature could also give you topics to write the research question. Moreover, you could also challenge the existing assumptions or use personal experiences to redefine issues in research.

5. Review Your Questions

Once you have listed few of your questions, evaluate them to find out if they are effective research questions. Moreover while reviewing, go through the finer details of the question and its probable outcome, and find out if the question meets the research question criteria.

6. Construct Your Research Question

There are two frameworks to construct your research question. The first one being PICOT framework , which stands for:

• Population or problem
• Intervention or indicator being studied
• Comparison group
• Outcome of interest
• Time frame of the study.

The second framework is PEO , which stands for:

• Population being studied
• Exposure to preexisting conditions
• Outcome of interest.

Research Question Examples

• How might the discovery of a genetic basis for alcoholism impact triage processes in medical facilities?
• How do ecological systems respond to chronic anthropological disturbance?
• What are demographic consequences of ecological interactions?
• What roles do fungi play in wildfire recovery?
• How do feedbacks reinforce patterns of genetic divergence on the landscape?
• What educational strategies help encourage safe driving in young adults?
• What makes a grocery store easy for shoppers to navigate?
• What genetic factors predict if someone will develop hypothyroidism?
• Does contemporary evolution along the gradients of global change alter ecosystems function?

How did you write your first research question ? What were the steps you followed to create a strong research question? Do write to us or comment below.

Frequently Asked Questions

Research questions guide the focus and direction of a research study. Here are common types of research questions: 1. Qualitative research question: Qualitative questions concern broad areas or more specific areas of research. However, unlike quantitative questions, qualitative research questions are adaptable, non-directional and more flexible. Different types of qualitative research questions are: i. Exploratory questions ii. Predictive questions iii. Interpretive questions 2. Quantitative Research Question: Quantitative questions prove or disprove a researcher’s hypothesis through descriptions, comparisons, and relationships. These questions are beneficial when choosing a research topic or when posing follow-up questions that garner more information. Different types of quantitative research questions are: i. Descriptive questions ii. Comparative questions iii. Relationship-based questions

Qualitative research questions aim to explore the richness and depth of participants' experiences and perspectives. They should guide your research and allow for in-depth exploration of the phenomenon under investigation. After identifying the research topic and the purpose of your research: • Begin with Broad Inquiry: Start with a general research question that captures the main focus of your study. This question should be open-ended and allow for exploration. • Break Down the Main Question: Identify specific aspects or dimensions related to the main research question that you want to investigate. • Formulate Sub-questions: Create sub-questions that delve deeper into each specific aspect or dimension identified in the previous step. • Ensure Open-endedness: Make sure your research questions are open-ended and allow for varied responses and perspectives. Avoid questions that can be answered with a simple "yes" or "no." Encourage participants to share their experiences, opinions, and perceptions in their own words. • Refine and Review: Review your research questions to ensure they align with your research purpose, topic, and objectives. Seek feedback from your research advisor or peers to refine and improve your research questions.

Developing research questions requires careful consideration of the research topic, objectives, and the type of study you intend to conduct. Here are the steps to help you develop effective research questions: 1. Select a Topic 2. Conduct Preliminary Research 3. Consider Your Audience 4. Generate Potential Questions 5. Review Your Questions 6. Construct Your Research Question Based on PICOT or PEO Framework

There are two frameworks to construct your research question. The first one being PICOT framework, which stands for: • Population or problem • Intervention or indicator being studied • Comparison group • Outcome of interest • Time frame of the study The second framework is PEO, which stands for: • Population being studied • Exposure to preexisting conditions • Outcome of interest

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Home » Quantitative Research – Methods, Types and Analysis

Quantitative Research – Methods, Types and Analysis

Table of Contents

Quantitative Research

Quantitative research is a type of research that collects and analyzes numerical data to test hypotheses and answer research questions . This research typically involves a large sample size and uses statistical analysis to make inferences about a population based on the data collected. It often involves the use of surveys, experiments, or other structured data collection methods to gather quantitative data.

Quantitative Research Methods

Quantitative Research Methods are as follows:

Descriptive Research Design

Descriptive research design is used to describe the characteristics of a population or phenomenon being studied. This research method is used to answer the questions of what, where, when, and how. Descriptive research designs use a variety of methods such as observation, case studies, and surveys to collect data. The data is then analyzed using statistical tools to identify patterns and relationships.

Correlational Research Design

Correlational research design is used to investigate the relationship between two or more variables. Researchers use correlational research to determine whether a relationship exists between variables and to what extent they are related. This research method involves collecting data from a sample and analyzing it using statistical tools such as correlation coefficients.

Quasi-experimental Research Design

Quasi-experimental research design is used to investigate cause-and-effect relationships between variables. This research method is similar to experimental research design, but it lacks full control over the independent variable. Researchers use quasi-experimental research designs when it is not feasible or ethical to manipulate the independent variable.

Experimental Research Design

Experimental research design is used to investigate cause-and-effect relationships between variables. This research method involves manipulating the independent variable and observing the effects on the dependent variable. Researchers use experimental research designs to test hypotheses and establish cause-and-effect relationships.

Survey Research

Survey research involves collecting data from a sample of individuals using a standardized questionnaire. This research method is used to gather information on attitudes, beliefs, and behaviors of individuals. Researchers use survey research to collect data quickly and efficiently from a large sample size. Survey research can be conducted through various methods such as online, phone, mail, or in-person interviews.

Quantitative Research Analysis Methods

Here are some commonly used quantitative research analysis methods:

Statistical Analysis

Statistical analysis is the most common quantitative research analysis method. It involves using statistical tools and techniques to analyze the numerical data collected during the research process. Statistical analysis can be used to identify patterns, trends, and relationships between variables, and to test hypotheses and theories.

Regression Analysis

Regression analysis is a statistical technique used to analyze the relationship between one dependent variable and one or more independent variables. Researchers use regression analysis to identify and quantify the impact of independent variables on the dependent variable.

Factor Analysis

Factor analysis is a statistical technique used to identify underlying factors that explain the correlations among a set of variables. Researchers use factor analysis to reduce a large number of variables to a smaller set of factors that capture the most important information.

Structural Equation Modeling

Structural equation modeling is a statistical technique used to test complex relationships between variables. It involves specifying a model that includes both observed and unobserved variables, and then using statistical methods to test the fit of the model to the data.

Time Series Analysis

Time series analysis is a statistical technique used to analyze data that is collected over time. It involves identifying patterns and trends in the data, as well as any seasonal or cyclical variations.

Multilevel Modeling

Multilevel modeling is a statistical technique used to analyze data that is nested within multiple levels. For example, researchers might use multilevel modeling to analyze data that is collected from individuals who are nested within groups, such as students nested within schools.

Applications of Quantitative Research

Quantitative research has many applications across a wide range of fields. Here are some common examples:

• Market Research : Quantitative research is used extensively in market research to understand consumer behavior, preferences, and trends. Researchers use surveys, experiments, and other quantitative methods to collect data that can inform marketing strategies, product development, and pricing decisions.
• Health Research: Quantitative research is used in health research to study the effectiveness of medical treatments, identify risk factors for diseases, and track health outcomes over time. Researchers use statistical methods to analyze data from clinical trials, surveys, and other sources to inform medical practice and policy.
• Social Science Research: Quantitative research is used in social science research to study human behavior, attitudes, and social structures. Researchers use surveys, experiments, and other quantitative methods to collect data that can inform social policies, educational programs, and community interventions.
• Education Research: Quantitative research is used in education research to study the effectiveness of teaching methods, assess student learning outcomes, and identify factors that influence student success. Researchers use experimental and quasi-experimental designs, as well as surveys and other quantitative methods, to collect and analyze data.
• Environmental Research: Quantitative research is used in environmental research to study the impact of human activities on the environment, assess the effectiveness of conservation strategies, and identify ways to reduce environmental risks. Researchers use statistical methods to analyze data from field studies, experiments, and other sources.

Characteristics of Quantitative Research

Here are some key characteristics of quantitative research:

• Numerical data : Quantitative research involves collecting numerical data through standardized methods such as surveys, experiments, and observational studies. This data is analyzed using statistical methods to identify patterns and relationships.
• Large sample size: Quantitative research often involves collecting data from a large sample of individuals or groups in order to increase the reliability and generalizability of the findings.
• Objective approach: Quantitative research aims to be objective and impartial in its approach, focusing on the collection and analysis of data rather than personal beliefs, opinions, or experiences.
• Control over variables: Quantitative research often involves manipulating variables to test hypotheses and establish cause-and-effect relationships. Researchers aim to control for extraneous variables that may impact the results.
• Replicable : Quantitative research aims to be replicable, meaning that other researchers should be able to conduct similar studies and obtain similar results using the same methods.
• Statistical analysis: Quantitative research involves using statistical tools and techniques to analyze the numerical data collected during the research process. Statistical analysis allows researchers to identify patterns, trends, and relationships between variables, and to test hypotheses and theories.
• Generalizability: Quantitative research aims to produce findings that can be generalized to larger populations beyond the specific sample studied. This is achieved through the use of random sampling methods and statistical inference.

Examples of Quantitative Research

Here are some examples of quantitative research in different fields:

• Market Research: A company conducts a survey of 1000 consumers to determine their brand awareness and preferences. The data is analyzed using statistical methods to identify trends and patterns that can inform marketing strategies.
• Health Research : A researcher conducts a randomized controlled trial to test the effectiveness of a new drug for treating a particular medical condition. The study involves collecting data from a large sample of patients and analyzing the results using statistical methods.
• Social Science Research : A sociologist conducts a survey of 500 people to study attitudes toward immigration in a particular country. The data is analyzed using statistical methods to identify factors that influence these attitudes.
• Education Research: A researcher conducts an experiment to compare the effectiveness of two different teaching methods for improving student learning outcomes. The study involves randomly assigning students to different groups and collecting data on their performance on standardized tests.
• Environmental Research : A team of researchers conduct a study to investigate the impact of climate change on the distribution and abundance of a particular species of plant or animal. The study involves collecting data on environmental factors and population sizes over time and analyzing the results using statistical methods.
• Psychology : A researcher conducts a survey of 500 college students to investigate the relationship between social media use and mental health. The data is analyzed using statistical methods to identify correlations and potential causal relationships.
• Political Science: A team of researchers conducts a study to investigate voter behavior during an election. They use survey methods to collect data on voting patterns, demographics, and political attitudes, and analyze the results using statistical methods.

How to Conduct Quantitative Research

Here is a general overview of how to conduct quantitative research:

• Develop a research question: The first step in conducting quantitative research is to develop a clear and specific research question. This question should be based on a gap in existing knowledge, and should be answerable using quantitative methods.
• Develop a research design: Once you have a research question, you will need to develop a research design. This involves deciding on the appropriate methods to collect data, such as surveys, experiments, or observational studies. You will also need to determine the appropriate sample size, data collection instruments, and data analysis techniques.
• Collect data: The next step is to collect data. This may involve administering surveys or questionnaires, conducting experiments, or gathering data from existing sources. It is important to use standardized methods to ensure that the data is reliable and valid.
• Analyze data : Once the data has been collected, it is time to analyze it. This involves using statistical methods to identify patterns, trends, and relationships between variables. Common statistical techniques include correlation analysis, regression analysis, and hypothesis testing.
• Interpret results: After analyzing the data, you will need to interpret the results. This involves identifying the key findings, determining their significance, and drawing conclusions based on the data.
• Communicate findings: Finally, you will need to communicate your findings. This may involve writing a research report, presenting at a conference, or publishing in a peer-reviewed journal. It is important to clearly communicate the research question, methods, results, and conclusions to ensure that others can understand and replicate your research.

When to use Quantitative Research

Here are some situations when quantitative research can be appropriate:

• To test a hypothesis: Quantitative research is often used to test a hypothesis or a theory. It involves collecting numerical data and using statistical analysis to determine if the data supports or refutes the hypothesis.
• To generalize findings: If you want to generalize the findings of your study to a larger population, quantitative research can be useful. This is because it allows you to collect numerical data from a representative sample of the population and use statistical analysis to make inferences about the population as a whole.
• To measure relationships between variables: If you want to measure the relationship between two or more variables, such as the relationship between age and income, or between education level and job satisfaction, quantitative research can be useful. It allows you to collect numerical data on both variables and use statistical analysis to determine the strength and direction of the relationship.
• To identify patterns or trends: Quantitative research can be useful for identifying patterns or trends in data. For example, you can use quantitative research to identify trends in consumer behavior or to identify patterns in stock market data.
• To quantify attitudes or opinions : If you want to measure attitudes or opinions on a particular topic, quantitative research can be useful. It allows you to collect numerical data using surveys or questionnaires and analyze the data using statistical methods to determine the prevalence of certain attitudes or opinions.

Purpose of Quantitative Research

The purpose of quantitative research is to systematically investigate and measure the relationships between variables or phenomena using numerical data and statistical analysis. The main objectives of quantitative research include:

• Description : To provide a detailed and accurate description of a particular phenomenon or population.
• Explanation : To explain the reasons for the occurrence of a particular phenomenon, such as identifying the factors that influence a behavior or attitude.
• Prediction : To predict future trends or behaviors based on past patterns and relationships between variables.
• Control : To identify the best strategies for controlling or influencing a particular outcome or behavior.

Quantitative research is used in many different fields, including social sciences, business, engineering, and health sciences. It can be used to investigate a wide range of phenomena, from human behavior and attitudes to physical and biological processes. The purpose of quantitative research is to provide reliable and valid data that can be used to inform decision-making and improve understanding of the world around us.

Advantages of Quantitative Research

There are several advantages of quantitative research, including:

• Objectivity : Quantitative research is based on objective data and statistical analysis, which reduces the potential for bias or subjectivity in the research process.
• Reproducibility : Because quantitative research involves standardized methods and measurements, it is more likely to be reproducible and reliable.
• Generalizability : Quantitative research allows for generalizations to be made about a population based on a representative sample, which can inform decision-making and policy development.
• Precision : Quantitative research allows for precise measurement and analysis of data, which can provide a more accurate understanding of phenomena and relationships between variables.
• Efficiency : Quantitative research can be conducted relatively quickly and efficiently, especially when compared to qualitative research, which may involve lengthy data collection and analysis.
• Large sample sizes : Quantitative research can accommodate large sample sizes, which can increase the representativeness and generalizability of the results.

Limitations of Quantitative Research

There are several limitations of quantitative research, including:

• Limited understanding of context: Quantitative research typically focuses on numerical data and statistical analysis, which may not provide a comprehensive understanding of the context or underlying factors that influence a phenomenon.
• Simplification of complex phenomena: Quantitative research often involves simplifying complex phenomena into measurable variables, which may not capture the full complexity of the phenomenon being studied.
• Potential for researcher bias: Although quantitative research aims to be objective, there is still the potential for researcher bias in areas such as sampling, data collection, and data analysis.
• Limited ability to explore new ideas: Quantitative research is often based on pre-determined research questions and hypotheses, which may limit the ability to explore new ideas or unexpected findings.
• Limited ability to capture subjective experiences : Quantitative research is typically focused on objective data and may not capture the subjective experiences of individuals or groups being studied.
• Ethical concerns : Quantitative research may raise ethical concerns, such as invasion of privacy or the potential for harm to participants.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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How To Write a Good Research Question: Guide with Definition, Tips & Examples

Sameer Bhatia

Founder and CEO - ProProfs

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Sameer Bhatia is the Founder and Chief Executive Officer of ProProfs.com. He believes that software should make you happy and is driven to create a 100-year company that delivers delightfully ... Read more

Sameer Bhatia is the Founder and Chief Executive Officer of ProProfs.com. He believes that software should make you happy and is driven to create a 100-year company that delivers delightfully smart software with awesome support. His favorite word is 'delight,' and he dislikes the term 'customer satisfaction,' as he believes that 'satisfaction' is a low bar and users must get nothing less than a delightful experience at ProProfs. Sameer holds a Masters in Computer Science from the University of Southern California (USC). He lives in Santa Monica with his wife & two daughters. Read less

Market Research Specialist

Emma David, a seasoned market research professional, specializes in employee engagement, survey administration, and data management. Her expertise in leveraging data for informed decisions has positively impacted several brands, enhancing their market position.

Research questions form the backbone of any study, guiding researchers in their search for knowledge and understanding. Framing relevant research questions is the first essential step for ensuring the research is effective and produces valuable insights.

In this blog, we’ll explore what research questions are, tips for crafting them, and a variety of research question examples across different fields to help you formulate a well-balanced research questionnaire.

Let’s begin.

What Is a Research Question?

A research question is a specific inquiry or problem statement guiding a research study, outlining the researcher’s intention to investigate. Think of it as a roadmap for your paper or thesis – it tells you exactly what you want to explore, giving your work a clear purpose.

A good research question not only helps you focus your writing but also guides your readers. It gives them a clear idea of what your research is about and what you aim to achieve. Before you start drafting your paper and even before you conduct your study, it’s important to write a concise statement of what you want to accomplish or discover.

This sets the stage for your research and ensures your work is focused and purposeful.

Why Are Research Questions Important?

Research questions are the cornerstone of any academic or scientific inquiry. They serve as a guide for the research process, helping to focus the study, define its goals, and structure its methodology. 

Below are some of its most significant impacts, along with hypothetical examples to help you understand them better:

1. Guidance and Focus

Research questions provide a clear direction for the study, enabling researchers to narrow down the scope of their investigation to a manageable size. Research efforts can become scattered and unfocused without a well-defined question without a well-defined question, leading to wasted time and resources.

For example, consider a researcher interested in studying the effects of technology on education. A broad interest in technology and education could lead to an overwhelming range of topics to cover. However, by formulating a specific research question such as, “ How does the use of interactive digital textbooks in high school science classes affect students’ learning outcomes?” the researcher can focus their study on a specific aspect of technology in education, making the research more manageable and directed.

2. Defining the Research Objectives

A well-crafted research question helps to clearly define what the researcher aims to discover, examine, or analyze. This clarity is crucial for determining the study’s objectives and ensures that every step of the research process contributes toward achieving these goals.

For example, in a study aimed at understanding the impact of remote work on employee productivity, a research question such as “ Does remote work increase productivity among information technology professionals? ” directly sets the objective of the study to measure productivity levels among a specific group when working remotely.

3. Determining the Research Methodology

The research question influences the choice of methodology, including the design, data collection methods, and analysis techniques. It dictates whether the study should be qualitative, quantitative, or mixed methods and guides the selection of tools and procedures for conducting the research.

For example, in a research question like “ What are the lived experiences of first-generation college students? ” a qualitative approach using interviews or focus groups might be chosen to gather deep, nuanced insights into students’ experiences. In contrast, a question such as “ What percentage of first-generation college students graduate within four years?” would require a quantitative approach, possibly utilizing existing educational data sets for analysis.

4. Enhancing Relevance and Contribution

A well-thought-out research question ensures that the study addresses a gap in the existing literature or solves a real-world problem. This relevance is crucial for the contribution of the research to the field, as it helps to advance knowledge, inform policy, or offer practical solutions.

For example, in a scenario where existing research has largely overlooked the environmental impacts of single-use plastics in urban waterways, a question like “ What are the effects of single-use plastic pollution on the biodiversity of urban waterways?” can fill this gap, contributing valuable new insights to environmental science and potentially influencing urban environmental policies.

5. Facilitating Data Interpretation and Analysis

Clear research questions help in structuring the analysis, guiding the interpretation of data, and framing the discussion of results. They ensure that the data collected is directly relevant to the questions posed, making it easier to draw meaningful conclusions.

For example, in a study asking, “ How do social media algorithms influence political polarization among users? ” the data analysis would specifically focus on the mechanisms of algorithmic content delivery and its effects on user behavior and political views. This focus makes it straightforward to interpret how algorithm-induced echo chambers might contribute to polarization.

Types of Research Questions

Understanding the different types of research questions is essential for researchers to effectively design and conduct studies that align with their research objectives and methodologies

These questions can be broadly categorized into three main types: quantitative, qualitative, and mixed-method research questions.

Let’s explore each type in-depth, along with some examples.

Type A: Quantitative Research Questions

Quantitative research involves the collection and analysis of numerical data to answer specific research questions or hypotheses. It focuses on quantifying relationships, patterns, and phenomena, often using statistical methods for analysis. Quantitative research questions are typically structured and aim to explore relationships between variables or assess the impact of interventions.

Quantitative research questions can again be subcategorized into three distinct types:

1. Descriptive Questions :

Descriptive questions aim to describe characteristics, behaviors, or phenomena within a population. These questions often start with words like “ how much ,” “ how many ,” or “ what is the frequency of .” They provide a snapshot of a particular situation or phenomenon.

Example: “ What is the average age of first-time homebuyers in the United States?”

2. Comparative Questions :

Comparative questions seek to compare two or more groups, conditions, or variables to identify differences or similarities. They often involve the use of statistical tests to determine the significance of observed differences or associations.

Example: “Is there a significant difference in academic performance between students who receive tutoring and those who do not?”

3. Relationship Questions:

Relationship questions explore the associations or correlations between variables. They aim to determine the strength and direction of relationships, allowing researchers to assess the predictive power of one variable on another.

Example: “What is the relationship between exercise frequency and levels of anxiety among adults?”

Type B: Qualitative Research Questions

Qualitative research involves the exploring and understanding of complex phenomena through an in-depth examination of individuals’ experiences, behaviors, and perspectives. It aims to uncover meaning, patterns, and underlying processes within a specific context, often through techniques such as interviews, observations, and content analysis.

Types of qualitative research questions:

1. Exploratory Questions:

Exploratory questions seek to understand a particular phenomenon or issue in depth. They aim to uncover new insights, perspectives, or dimensions that may not have been previously considered.

Example: “What are the experiences of LGBTQ+ individuals in accessing healthcare services in rural communities?”

2. Descriptive Questions:

Descriptive questions aim to provide a detailed description or portrayal of a phenomenon or social context. They focus on capturing the intricacies and nuances of a particular situation or setting.

Example: “What are the communication patterns within multicultural teams in a corporate setting?”

3. Explanatory Questions:

Explanatory questions delve into the underlying reasons, mechanisms, or processes that influence a phenomenon or behavior. They aim to uncover the ‘why’ behind observed patterns or relationships.

Example: “What factors contribute to employee turnover in the hospitality industry?”

Type C: Mixed-Methods Research Questions

Mixed-methods research integrates both quantitative and qualitative approaches within a single study, allowing researchers to gain a comprehensive understanding of a research problem. Mixed-method research questions are designed to address complex phenomena from multiple perspectives, combining the strengths of both quantitative and qualitative methodologies.

Types of Mixed-Methods Research Questions:

1. Sequential Questions:

Sequential questions involve the collection and analysis of quantitative and qualitative data in separate phases or stages. The findings from one phase inform the design and implementation of the subsequent phase.

Example: “Quantitatively, what are the prevalence rates of mental health disorders among adolescents? Qualitatively, what are the factors influencing help-seeking behaviors among adolescents with mental health concerns?”

2. Concurrent Questions:

Concurrent questions involve the simultaneous collection and analysis of quantitative and qualitative data. Researchers triangulate findings from both methods to provide a more comprehensive understanding of the research problem.

Example: “How do students’ academic performance (quantitative) correlate with their perceptions of school climate (qualitative)?”

3. Transformative Questions:

Transformative questions aim to use mixed-methods research to bring about social change or inform policy decisions. They seek to address complex societal issues by combining quantitative data on prevalence rates or trends with qualitative insights into lived experiences and perspectives.

Example: “What are the barriers to accessing healthcare services for underserved communities, and how can healthcare policies be redesigned to address these barriers effectively?”

Steps to Developing a Good Research Question

Developing a good research question is a crucial first step in any research endeavor. A well-crafted research question serves as the foundation for the entire study, guiding the researcher in formulating hypotheses, selecting appropriate methodologies, and conducting meaningful analyses.

Here are the steps to developing a good research question:

Identify a Broad Topic

Begin by identifying a broad area of interest or a topic that you would like to explore. This could stem from your academic discipline, professional interests, or personal curiosity. However, make sure to choose a topic that is both relevant and feasible for research within the constraints of your resources and expertise.

Conduct Preliminary Research

Before refining your research question, conduct preliminary research to familiarize yourself with existing literature and identify gaps, controversies, or unanswered questions within your chosen topic. This step will help you narrow down your focus and ensure that your research question contributes to the existing body of knowledge.

Narrow Down Your Focus

Based on your preliminary research, narrow down your focus to a specific aspect, problem, or issue within your chosen topic. Consider the scope of your study, the availability of resources, and the feasibility of addressing your research question within a reasonable timeframe. Narrowing down your focus will help you formulate a more precise and manageable research question.

Define Key Concepts and Variables

Clearly define the key concepts, variables, or constructs that are central to your research question. This includes identifying the main variables you will be investigating, as well as any relevant theoretical or conceptual frameworks that will guide your study. Clarifying these aspects will ensure that your research question is clear, specific, and focused.

Formulate Your Research Question

Based on your narrowed focus and defined key concepts, formulate your research question. A good research question is concise, specific, and clearly articulated. It should be phrased in a way that is open-ended and leads to further inquiry. Avoid vague or overly broad questions that are difficult to answer or lack clarity.

Consider the Type of Research

Consider whether your research question is best suited for quantitative, qualitative, or mixed-methods research. The type of research question will influence your choice of methodologies, data collection techniques, and analytical approaches. Tailor your research question to align with the goals and requirements of your chosen research paradigm.

Evaluate the Significance and Relevance

Evaluate the significance and relevance of your research question within the context of your academic discipline, field of study, or practical implications. Consider how your research question fills gaps in knowledge, addresses practical problems, or advances theoretical understanding. A good research question should be meaningful and contribute to the broader scholarly conversation.

Refine and Revise

Finally, refine and revise your research question based on feedback from colleagues, advisors, or peers. Consider whether the question is clear, feasible, and likely to yield meaningful results. Be open to making revisions as needed to ensure that your research question is well-constructed and aligned with the goals of your study.

Examples of Research Questions

Below are some example research questions from various fields to provide a glimpse into the diverse array of inquiries within each field.

1. Psychology Research Questions:

• How does childhood trauma influence the development of personality disorders in adulthood?
• What are the effects of mindfulness meditation on reducing symptoms of anxiety and depression?
• How does social media usage impact self-esteem among adolescents?
• What factors contribute to the formation and maintenance of romantic relationships in young adults?
• What are the cognitive mechanisms underlying decision-making processes in individuals with addiction?
• How does parenting style affect the development of resilience in children?
• What are the long-term effects of early childhood attachment patterns on adult romantic relationships?
• What role does genetics play in the predisposition to mental health disorders such as schizophrenia?
• How does exposure to violent media influence aggressive behavior in children?
• What are the psychological effects of social isolation on mental health during the COVID-19 pandemic?

2. Business Research Questions:

• What are the key factors influencing consumer purchasing behavior in the e-commerce industry?
• How does organizational culture impact employee job satisfaction and retention?
• What are the strategies for successful international market entry for small businesses?
• What are the effects of corporate social responsibility initiatives on brand reputation and consumer loyalty?
• How do leadership styles influence organizational innovation and performance?
• What are the challenges and opportunities for implementing sustainable business practices in emerging markets?
• What factors contribute to the success of startups in the technology sector?
• How do economic fluctuations affect consumer confidence and spending behavior?
• What are the impacts of globalization on supply chain management practices?
• What are the determinants of successful mergers and acquisitions in the corporate sector?

3. Education Research Questions:

• What teaching strategies are most effective for promoting student engagement in online learning environments?
• How does socioeconomic status impact academic achievement and educational attainment?
• What are the barriers to inclusive education for students with disabilities?
• What factors influence teacher job satisfaction and retention in urban schools?
• How does parental involvement affect student academic performance and school outcomes?
• What are the effects of early childhood education programs on later academic success?
• How do culturally responsive teaching practices impact student learning outcomes in diverse classrooms?
• What are the best practices for implementing technology integration in K-12 education?
• How do school leadership practices influence school climate and student outcomes?
• What interventions are most effective for addressing the achievement gap in STEM education?

4. Healthcare Research Questions:

• What are the factors influencing healthcare-seeking behavior among underserved populations?
• How does patient-provider communication affect patient satisfaction and treatment adherence?
• What are the barriers to implementing telemedicine services in rural communities?
• What interventions are effective for reducing hospital readmissions among elderly patients?
• How does access to healthcare services impact health disparities among marginalized communities?
• What are the effects of nurse staffing levels on patient outcomes in acute care settings?
• How do socioeconomic factors influence access to mental healthcare services?
• What are the best practices for managing chronic disease patients in primary care settings?
• What are the impacts of healthcare reform policies on healthcare delivery and patient outcomes?
• How does cultural competence training for healthcare providers affect patient trust and satisfaction?

5. Computer Science Research Questions:

• What are the security vulnerabilities of blockchain technology, and how can they be mitigated?
• How can machine learning algorithms be used to detect and prevent cyber-attacks?
• What are the privacy implications of data mining techniques in social media platforms?
• How can artificial intelligence be used to improve medical diagnosis and treatment?
• What are the challenges and opportunities for implementing edge computing in IoT systems?
• How can natural language processing techniques be applied to improve human-computer interaction?
• What are the impacts of algorithmic bias on fairness and equity in decision-making systems?
• How can quantum computing algorithms be optimized for solving complex computational problems?
• What are the ethical considerations surrounding the use of autonomous vehicles in transportation systems?
• How does the design of user interfaces influence user experience and usability in mobile applications?

Create a Compelling Research Question With the Given Examples

Understanding research questions is essential for any successful research endeavor. We’ve explored the various research questions – quantitative, qualitative, and mixed-methods – each with unique characteristics and purposes.

Through various examples, tips, and strategies, we’ve seen how research questions can be tailored to specific fields of study.

By following these guidelines, we are confident that your research questions will be well-designed, focused, and capable of yielding valuable insights.

Frequently Asked Questions

What are some good research question examples.

Good research questions are clear, specific, relevant, and feasible. For example, “How does childhood trauma influence the development of personality disorders in adulthood?”

What are some examples of good and bad research questions?

Good research questions are focused and relevant, such as “What factors influence employee job satisfaction in the hospitality industry?” Bad research questions are vague or trivial, like “What is the favorite color of employees in the hospitality industry?”

Watch: How to Create a Survey Using ProProfs Survey Maker

About the author

Emma David is a seasoned market research professional with 8+ years of experience. Having kick-started her journey in research, she has developed rich expertise in employee engagement, survey creation and administration, and data management. Emma believes in the power of data to shape business performance positively. She continues to help brands and businesses make strategic decisions and improve their market standing through her understanding of research methodologies.

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How to Write a Research Question: Types & Examples

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A research question is the main query that researchers seek to answer in their study. It serves as the basis for a scholarly project such as research paper, thesis or dissertation. A good research question should be clear, relevant and specific enough to guide the research process. It should also be open-ended, meaning that it allows for multiple possible answers or interpretations.

If you have located your general subject and main sources but still aren’t quite sure about the exact research questions for your paper, this guide will help you out. First, we will explore the concept of it together, so you could answer it in your work. Then some simple steps on composing your inquiry will be suggested. In the end, we will draw your attention to some specific details which can make your work good or bad. Sometimes it’s just easier to delegate all challenging tasks to a reliable research paper service . StudyCrumb is a trustable network of qualified writers ready to efficiently solve students’ challenges.

What Is a Good Research Question: Full Definition

Good research questions provide a concise definition of a problem. As a scholar, your main goal at the beginning is to select the main focus. It should be narrow enough so you could examine it within your deadline. Your work should be focused on something specific. Otherwise, it will require too much work and might not produce clear answers. At the same time your answer should be arguable and supported by data you’ve collected. Take a look at this example:

How to Write a Research Question: Step-By-Step Guide

In this section we will examine the process of developing a research question. We will guide you through it, step by step. Keep in mind that your subject should be important for your audience. So it requires some preliminary study and brainstorming. Let’s take a closer look at the main steps.

Step 1. Choose a Broad Topic for Your Research Paper Question

First, you need to decide on your general direction. When trying to identify your research paper questions, it is better to choose an area you are really interested in. You should be able to obtain enough data to write something about this topic. Therefore, do not choose something out of your reach. At the same time, your broad topic should not be too simple. Research paper questions that can be answered without any study would hardly make any sense for your project.

Step 2. Do Preliminary Reading Before Starting Your Research Question

Next, it is time we explore the context of the selected topic. You wouldn’t want to choose research questions that have already been examined and answered in detail. On the other hand, choosing a topic that is a complete ‘terra incognita’ might be a bridge too far for your project. Browse through available sources that are related to this topic. You should try and find out what has been discovered about it before. Do you see a gap that you can fill with your study? You can proceed with developing your exact inquiry! Have no time for in-depth topic exploration? Leave this task to professionals. Entrust your “ write my research paper ” order to StudyCrumb and get a top-notch work.

Step 3. Consider an Audience for Your Research Question

It is good to know your reader well to be able to convey your ideas and results to them in the best possible way. Before writing research questions for your projects, you might need to perform a brief analysis of your audience. That's how you'll be able to understand what is interesting for them and what is not. This will allow you to make better decisions when narrowing your broad topic down. Select a topic that is interesting for your reader! This would contribute much to the success for writing a research paper .

Step 4. Start Asking a Good Research Question

After you have considered your options, go ahead and compose the primary subject of your paper. What makes a good research question? It should highlight some problematic and relevant aspects of the general topic. So, after it is answered, you should have obtained some new valuable knowledge about the subject.  Typically scholars start narrowing down their general topic by asking ‘how’, ‘why’ or ‘what’s next’ questions. This approach might help you come up with a great idea quickly.

Step 5. Evaluate Your Research Question

Finally, after you have composed a research paper question, you should take a second look at it and see if it is good enough for your paper. It would be useful to analyze it from the following sides:

• Is it clear for your audience?
• Is it complex enough to require significant study?
• Is it focused on a certain aspect of your general topic?

You might use the help of your peers or your friends at this step. You can also show it to your tutor and ask for their opinion.

Types of Research Questions: Which to Choose

A number of research questions types are available for use in a paper. They are divided into two main groups:

Qualitative questions:

• Explanatory
• Ethnographic

Quantitative questions:

• Descriptive
• Comparative
• Relationship based.

Selecting a certain type would impact the course of your study. We suggest you think about it carefully. Below you can find a few words about each type. Also, you can seek proficient help from academic experts. Buy a research paper from real pros and forget about stress once and for all.

Qualitative Research Questions: Definition With Example

When doing qualitative research, you are expected to aim to understand the different aspects and qualities of your target problem. Therefore, your thesis should focus on analyzing people’s experience, ideas and reflections rather than on obtaining some statistical data and calculating trends. Thus, this inquiry typically requires observing people’s behavior, interacting with them and learning how they interpret your target problem.  Let’s illustrate this with an example:

What Is Contextual Research Questions

Contextual research revolves around examining your subject in its natural, everyday environment. It may be watching animals living in their usual habitats or people doing their normal activities in their familiar surroundings (at home, at school or at office). This academic approach helps to understand the role of the context. You'll be able to better explain connections between your problem, its environment and outcomes. This type of inquiry ought to be narrow enough. You shouldn’t have to examine each and every aspect of the selected problem in your paper. Consider this example:

Definition and Sample of Evaluative Research Questions

Evaluative research is performed in order to carefully assess the qualities of a selected object, individual, group, system or concept. It typically serves the purpose of collecting evidence that supports or contradicts solutions for a problem. This type of inquiry should focus on how useful a certain quality is for solving the problem.  To conduct such study, you need to examine selected qualities in detail. Then, you should assume whether they match necessary criteria. It might include some quantitative methods such as collecting statistics. Although, the most important part is analyzing the qualities. If you need some examples, here’s one for you:

Explanatory Research Questions: Definition With Example

Your paper can be dedicated to explaining a certain phenomenon, finding its reasons and important relationships between it and other important things. Your explanatory research question should aim to highlight issues, uncertainties and problematic aspects of your subject. So, your study should bring clarity about these qualities. It should show how and why they have developed this way. An explanation may include showing causes and effects of issues in question, comparing the selected phenomenon to other similar types and showing whether the selected qualities match some predefined criteria. If you need some examples, check this one:

Generative Research Questions

This type of research is conducted in order to better understand the subject. With its help, you can find some new solutions or opportunities for improvement. Therefore, its main purpose is to develop a theoretical basis for further actions. You need to compose your generative research questions in a way that facilitates obtaining new ideas. It would help to begin with asking ‘why’, ‘what is the relationship between the subject and the problems X, Y, and Z’, ‘what can be improved here’, ‘how we can prevent it’ and so on. Need relevant examples? We’ve got one for you:

Ethnographic Research Question

Ethnography research is focused on a particular group of people. The aim is to study their behavior, typical reactions to certain events or information, needs, preferences or habits. Important parameters of this group which are most relevant to your general subject are taken into consideration. These are age, sex, language, religion, ethnicity, social status and so on. Main method in this case is first-hand observation of people from the selected group during an extended period of time. If you need strong examples, here’s one:

Quantitative Research Questions: Full Definition With Examples

Quantitative research deals with data – first of all, it is numeric data. It involves mathematical calculations and statistical analysis. It helps to obtain knowledge which is mostly expressed in numbers, graphs and tables. Unlike the qualitative type, the purpose of quantitative research is finding patterns, calculating probabilities, testing causal relationships and making predictions. It is focused on testing theories and hypotheses. (We have the whole blog on what is a hypothesis .) It is mostly used in natural and social sciences. These are: chemistry, biology, psychology, economics, sociology, marketing, etc. Here are a couple of examples:

Descriptive Research Questions: Definition With Example

This is probably the most widespread type of quantitative research question. Such inquiries seek to explain when, where, why, or how something occurred. They describe it accurately and systematically. These inquiries typically start with ‘what’. You are expected to use various methods to investigate one or more variables and determine their dependencies. Note, however, that you cannot control or manipulate any of these variables. You can only observe and measure them. Looking for some interesting examples? Here is one:

Definition of Comparative Research Questions

Comparative research question is used to highlight different variables and provide numerical evidence. This type is based on comparing one object, parameter or issue with another one of a similar kind. It can help to discover the differences between two or more groups by examining their outcome variables.  Take a look at these two examples:

Relationship Research Questions

We conduct this type of research when we need to make it clear whether one parameter of a selected object causes another one. A relationship based quantitative research question should help us to explore and define trends and interactions between two or more variables. Are these two things mutually dependent? What kind of dependence is it? How has it developed? And what are possible outcomes of this connection? Here is an example of relationship-based quantitative research questions:

Research Questions Examples: Free

This section contains a number of helpful examples of research questions. Feel free to use them as inspiration to create your own questions and conduct productive study. Let’s start with two simple ones:

Are you interested in well written and inspiring questions? Do you want to learn what to avoid in your study? Just stay with us – there will be more of them below.

Examples of Good and Bad Research Questions

Everyone is interested in getting the best possible appraisal for their study. Choosing a topic which doesn't suit your specific situation may be discouraging. Thus, the quality of your paper might get affected by a poor choice. We have put together some good and bad examples so that you could avoid such mistakes.

Good Research Questions Examples

It is important to include clear terms into your questions. Otherwise, it would be difficult for you to plan your investigation properly. Also, they must be focused on a certain subject, not multiple ones. And finally, it should be possible to answer them. Let’s review several good examples:

Examples of Bad Research Questions

It is difficult to evaluate qualities of objects, individuals or groups if your purpose is not clear. This is why you shouldn’t create unclear research questions or try to focus on many problems at once. Some preliminary study might help to understand what you should focus on. Here are several bad examples:

In case you may need some information about the discussion section of a research paper example , find it in our blog.

Final Thoughts on Research Questions

In this article we have made a detailed review of the most popular types of research questions. We described peculiarities. We also provided some tips on conducting various kinds of study. Besides, a number of useful examples have been given for each category of questions.

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Frequently Asked Questions About Research Questions

1. what is an example of a weak research question.

Here is an example of the weakest research question: 

An answer would be simply making a list of species that inhabit the country. This subject does not require any actual study to be conducted. There is nothing to calculate or analyze here.

2. What is the most effective type of research question?

Most effective type of research question is the one that doesn't have a single correct answer. However, you should also pay close attention to your audience. If you need to create a strong effect, better choose a topic which is relevant for them.

3. What is a good nursing research question?

If you need an idea for a nursing research question, here are a few helpful examples you could use as a reference:

4. What are some sociological research questions?

Sociological questions are the ones that examine the social patterns or a meaning of a social phenomenon. They could be qualitative or quantitative. They should target groups of people with certain parameters, such as age or income level. Keep in mind that type of study usually requires collecting numerous data about your target groups.

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The Art of Asking Smarter Questions

• Arnaud Chevallier,
• Frédéric Dalsace,
• Jean-Louis Barsoux

With organizations of all sorts facing increased urgency and unpredictability, being able to ask smart questions has become key. But unlike lawyers, doctors, and psychologists, business professionals are not formally trained on what kinds of questions to ask when approaching a problem. They must learn as they go. In their research and consulting, the authors have seen that certain kinds of questions have gained resonance across the business world. In a three-year project they asked executives to brainstorm about the decisions they’ve faced and the kinds of inquiry they’ve pursued. In this article they share what they’ve learned and offer a practical framework for the five types of questions to ask during strategic decision-making: investigative, speculative, productive, interpretive, and subjective. By attending to each, leaders and teams can become more likely to cover all the areas that need to be explored, and they’ll surface information and options they might otherwise have missed.

These five techniques can drive great strategic decision-making.

Idea in Brief

The situation.

With organizations of all sorts facing increased urgency and uncertainty, the ability to ask smart questions has become key. But business professionals aren’t formally trained in that skill.

Why It’s So Challenging

Managers’ expertise often blinds them to new ideas. And the flow of questions can be hard to process in real time, so certain concerns and insights may never be raised.

Strategic questions can be grouped into five domains: investigative, speculative, productive, interpretive, and subjective. By attending to each, leaders and teams are more likely to cover all the areas that need to be explored—and they’ll surface information and options they might otherwise have missed.

As a cofounder and the CEO of the U.S. chipmaker Nvidia, Jensen Huang operates in a high-velocity industry requiring agile, innovative thinking. Reflecting on how his leadership style has evolved, he told the New York Times, “I probably give fewer answers and I ask a lot more questions….It’s almost possible now for me to go through a day and do nothing but ask questions.” He continued, “Through probing, I help [my management team]…explore ideas that they didn’t realize needed to be explored.”

• Arnaud Chevallier is a professor of strategy at IMD Business School.
• Frédéric Dalsace is a professor of marketing and strategy at IMD.
• Jean-Louis Barsoux is a term research professor at IMD and a coauthor of ALIEN Thinking: The Unconventional Path to Breakthrough Ideas (PublicAffairs, 2021).

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UGA geneticist gets to take risks with new seed grant

Tania Rozario , assistant professor in the Department of Genetics and member of the Center for Tropical and Emerging Global Diseases , recently received a seed grant from the Hypothesis Fund to develop a new approach to advance tapeworm research. Her natural inquisitiveness and willingness to tackle tough questions has led to this moment.

As a child in Malaysia, Rozario was fascinated with the world around her. Her interest was fostered by her grandfather, who was an amateur botanist and science teacher. After reading about NASA in a kid’s science magazine, she wrote a letter to them. Their willingness to engage with her inspired her to see science as a real career choice.

“I was exposed to science at an early age,” said Rozario. “But what had the biggest impact on my decision to become a scientist was doing undergraduate research.”

By the time she enrolled in graduate school at the University of Virginia, she knew she wanted to study regeneration. She focused on developmental biology and embryology as she needed a strong foundation in these disciplines to pursue her future research. She returned to regeneration during her postdoctoral training in the Newmark Laboratory at the Morgridge Institute for Research. It was then that she started her work in tapeworm regeneration.

“I was drawn to the untapped potential in tapeworms to understand basic biological functions,” she said. “Tapeworms have a complex lifecycle and are difficult to study in the lab—so there’s a challenge there too.”

The mechanisms of regeneration are poorly understood in tapeworms. Stem cells are responsible for regeneration. The Rozario lab wants to know what is special about the stem cells and signals in the “neck” as this tissue is the only tissue capable of regenerating new segments, despite the fact that there are stem cells everywhere in the tapeworm body.

“Tapeworms can grow very large, but regeneration only happens from a tiny part,” explained Rozario. “We want to know what genes are controlling it but right now we don’t have sufficient tools.”

With the gene editing tool CRISPR/Cas, researchers have been making remarkable strides in understanding genes in many organisms. However, there is no evidence that transgenesis, the process in which genes are inserted into an organism, works in tapeworms.

This is where the seed grant from the Hypothesis Fund comes in.

“They have scouts who are looking for unconventional science—research where although there may be risk or uncertainty that it will work, it could have a transformational effect if it does,” said Rozario.

The Hypothesis Fund provides seed grants for bold ideas at the earliest stage of research, often before any preliminary data have been generated.

“There are a number of barriers to getting CRISPR/Cas to work in an organism,” said Rozario in response to the risk of this project.

She lists three things that are needed to successfully use CRISPR/Cas: the right type of organism, access to an early development stage, and the expertise.

“We are in a good position to make this work,” further explained Rozario.

The Rozario lab has successfully developed a number of tools to better study the tapeworm in the lab. Since tapeworms produce both male and female gametes in every segment there is plenty of early development stage material to work with.

“Thanks to this gift, we are able to bring in post-doctoral researcher Olufemi Akinkuotu from the University of Pennsylvania School of Veterinary Medicine,” said Rozario. “He has specific training in developing gene-editing tools in parasitic nematodes, which are distantly related to tapeworms but share many parallel challenges.”

While there is still a risk that CRISPR/Cas won’t work in tapeworms, if it does the payoff could be huge—not only for understanding the basic biology of tapeworms, but to further our understanding of stem cells in other organisms.

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Clinical Research Coordinator - Pediatrics

• Madison, Wisconsin
• SCHOOL OF MEDICINE AND PUBLIC HEALTH/PEDIATRICS-GEN
• Partially Remote
• Staff-Full Time
• Staff-Part Time
• Opening at: Apr 16 2024 at 16:00 CDT
• Closing at: Apr 30 2024 at 23:55 CDT

Job Summary:

Are you passionate about using research to positively impact quality of life and health outcomes? The research lab of Dr. Krisjon Olson is hiring a Clinical Research Coordinator to coordinate research studies focused on enhancing communication between children with congenital heart disease and their medical teams to improve health outcomes. You will have the opportunity to be involved in daily research activities such as participant screening, recruiting, enrollment, and coordination, as well as broader strategic initiatives within the lab, including process development and building academic and community partnerships. The Olson Lab is part of the School of Medicine and Public Health, Department of Pediatrics. The Department of Pediatrics at the University of Wisconsin School of Medicine and Public Health is a vibrant academic department comprising more than 200 faculty in 16 subspecialty divisions. The department promotes and enhances the health of children through outstanding clinical care, exemplary education of pediatric trainees, performance of cutting-edge research, and vigorous advocacy. To learn more about the department's work and accomplishments, please visit: https://www.pediatrics.wisc.edu/ . 

Responsibilities:

Institutional statement on diversity:.

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion

Preferred Bachelor's Degree Preferred focus in communication, education, anthropology, sociology, psychology, integrative biology or disability studies.

Qualifications:

Required: - Computer experience with Microsoft Office, including Word, Outlook, Excel, and PowerPoint, and/or other database management software Preferred: - Research experience with basic quantitative and qualitative research methods - Experience with Qualtrics, REDCap, or similar programs - Experience with qualitative data management software such as Dedoose, ATLAS.ti, or NVivo - Experience submitting IRB applications and/or interacting with the IRB - Interest or experience in clinician communication with patients, children and adolescents, congenital heart disease, children with medical complexity or decision making The candidate should have exceptional interpersonal and organizational skills. The candidate must be dependable, with superb written and oral communication skills. They should demonstrate evidence of being a quick learner, motivated to develop new skills.

Full or Part Time: 50% - 100% This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location.

Appointment Type, Duration:

Terminal, 12 month appointment. This position has the possibility to be extended or converted to an ongoing appointment based on need and/or funding

Minimum $40,000 ANNUAL (12 months) Depending on Qualifications Actual pay will depend on experience and qualifications. Employees in this position can expect to receive benefits such as generous vacation, holidays, and paid time off; competitive insurances and savings accounts; retirement benefits. Benefits information can be found at: - https://hr.wisc.edu/benefits/   - SMPH Academic Staff Benefits flyer: https://uwmadison.box.com/s/r50myohfvfd15bqltljn0g4laubuz7t0  

Additional Information:

Applicants for this position will be considered for the titles listed in this posting. The title is determined by the experience and qualifications of the finalist. University sponsorship is not available for this position. The selected applicant will be responsible for ensuring their continuous eligibility for employment in the United States on or before the effective date of the appointment. UW-Madison is not an E-Verify employer, and therefore, is not eligible to employ F1-OPT STEM Extension participants. This position has been identified as a position of trust with access to vulnerable populations. The selected candidate will be required to pass an initial caregiver check to be eligible for employment under the Wisconsin Caregiver Law and then every two years.

How to Apply:

To apply for this position, please click on the "Apply Now" button. You will be asked to upload a current resume/CV and a cover letter briefly describing your qualifications and experience.

Ashley Mueller [email protected] 608-265-3961 Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Official Title:

Clin Res Coord I(RE015) or Clin Res Coord II(RE016)

Department(s):

A53-MEDICAL SCHOOL/PEDIATRICS/CARDIOLOGY

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Academic Staff-Terminal

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3 questions for Joris Marée

17 April 2024

What do you like most about your job?

What I enjoy the most about my work is the interaction with (small groups) of students. I motivate them and make them enthusiastic by using lively academic discussions about science and research. Of course, my goal is to introduce them to the weird and wonderful world of mathematics and statistics, where they’ll hopefully succeed in finding their way. Something else that I feel is important is being part of a close-knit team with my colleagues.

Which research from the past year are you most proud of?

I’m especially proud of the amazing learning materials that we’ve developed in the digital learning environment. This will be used extensively to challenge students at home or during lectures to tackle the subject matter. The goal is to discover what they’ve already mastered and what they need to improve.

What do colleagues probably not know about you?

As the 11th child in a family with 14 children (including 3 sets of twins born within 2 years: 2 boys, 2 girls and a girl and a boy), I had a fantastic childhood. I ran the New York Marathon with my 8 brothers (we called it the Maréethon). I’m also a member of the Utrecht-based theatre choir Vinger in Je Oor where I perform a variety of roles in my leisure time. I invite everyone to come to one our performances!

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• Knowledge Base

Methodology

• How to Write a Strong Hypothesis | Steps & Examples

How to Write a Strong Hypothesis | Steps & Examples

Published on May 6, 2022 by Shona McCombes . Revised on November 20, 2023.

A hypothesis is a statement that can be tested by scientific research. If you want to test a relationship between two or more variables, you need to write hypotheses before you start your experiment or data collection .

Example: Hypothesis

Daily apple consumption leads to fewer doctor’s visits.

Table of contents

What is a hypothesis, developing a hypothesis (with example), hypothesis examples, other interesting articles, frequently asked questions about writing hypotheses.

A hypothesis states your predictions about what your research will find. It is a tentative answer to your research question that has not yet been tested. For some research projects, you might have to write several hypotheses that address different aspects of your research question.

A hypothesis is not just a guess – it should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations and statistical analysis of data).

Variables in hypotheses

Hypotheses propose a relationship between two or more types of variables .

• An independent variable is something the researcher changes or controls.
• A dependent variable is something the researcher observes and measures.

If there are any control variables , extraneous variables , or confounding variables , be sure to jot those down as you go to minimize the chances that research bias  will affect your results.

In this example, the independent variable is exposure to the sun – the assumed cause . The dependent variable is the level of happiness – the assumed effect .

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Step 1. Ask a question

Writing a hypothesis begins with a research question that you want to answer. The question should be focused, specific, and researchable within the constraints of your project.

Step 2. Do some preliminary research

Your initial answer to the question should be based on what is already known about the topic. Look for theories and previous studies to help you form educated assumptions about what your research will find.

At this stage, you might construct a conceptual framework to ensure that you’re embarking on a relevant topic . This can also help you identify which variables you will study and what you think the relationships are between them. Sometimes, you’ll have to operationalize more complex constructs.

Step 3. Formulate your hypothesis

Now you should have some idea of what you expect to find. Write your initial answer to the question in a clear, concise sentence.

4. Refine your hypothesis

You need to make sure your hypothesis is specific and testable. There are various ways of phrasing a hypothesis, but all the terms you use should have clear definitions, and the hypothesis should contain:

• The relevant variables
• The specific group being studied
• The predicted outcome of the experiment or analysis

5. Phrase your hypothesis in three ways

To identify the variables, you can write a simple prediction in  if…then form. The first part of the sentence states the independent variable and the second part states the dependent variable.

In academic research, hypotheses are more commonly phrased in terms of correlations or effects, where you directly state the predicted relationship between variables.

If you are comparing two groups, the hypothesis can state what difference you expect to find between them.

6. Write a null hypothesis

If your research involves statistical hypothesis testing , you will also have to write a null hypothesis . The null hypothesis is the default position that there is no association between the variables. The null hypothesis is written as H 0 , while the alternative hypothesis is H 1 or H a .

• H 0 : The number of lectures attended by first-year students has no effect on their final exam scores.
• H 1 : The number of lectures attended by first-year students has a positive effect on their final exam scores.

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

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

 Statistics

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

Research bias

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

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A hypothesis is not just a guess — it should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations and statistical analysis of data).

Null and alternative hypotheses are used in statistical hypothesis testing . The null hypothesis of a test always predicts no effect or no relationship between variables, while the alternative hypothesis states your research prediction of an effect or relationship.

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

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McCombes, S. (2023, November 20). How to Write a Strong Hypothesis | Steps & Examples. Scribbr. Retrieved April 17, 2024, from https://www.scribbr.com/methodology/hypothesis/

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Fall 2024 CSCI Special Topics Courses

Cloud computing.

Meeting Time: 09:45 AM‑11:00 AM TTh  Instructor: Ali Anwar Course Description: Cloud computing serves many large-scale applications ranging from search engines like Google to social networking websites like Facebook to online stores like Amazon. More recently, cloud computing has emerged as an essential technology to enable emerging fields such as Artificial Intelligence (AI), the Internet of Things (IoT), and Machine Learning. The exponential growth of data availability and demands for security and speed has made the cloud computing paradigm necessary for reliable, financially economical, and scalable computation. The dynamicity and flexibility of Cloud computing have opened up many new forms of deploying applications on infrastructure that cloud service providers offer, such as renting of computation resources and serverless computing.    This course will cover the fundamentals of cloud services management and cloud software development, including but not limited to design patterns, application programming interfaces, and underlying middleware technologies. More specifically, we will cover the topics of cloud computing service models, data centers resource management, task scheduling, resource virtualization, SLAs, cloud security, software defined networks and storage, cloud storage, and programming models. We will also discuss data center design and management strategies, which enable the economic and technological benefits of cloud computing. Lastly, we will study cloud storage concepts like data distribution, durability, consistency, and redundancy. Registration Prerequisites: CS upper div, CompE upper div., EE upper div., EE grad, ITI upper div., Univ. honors student, or dept. permission; no cr for grads in CSci. Complete the following Google form to request a permission number from the instructor ( https://forms.gle/6BvbUwEkBK41tPJ17 ).

CSCI 5980/8980 

Machine learning for healthcare: concepts and applications.

Meeting Time: 11:15 AM‑12:30 PM TTh  Instructor: Yogatheesan Varatharajah Course Description: Machine Learning is transforming healthcare. This course will introduce students to a range of healthcare problems that can be tackled using machine learning, different health data modalities, relevant machine learning paradigms, and the unique challenges presented by healthcare applications. Applications we will cover include risk stratification, disease progression modeling, precision medicine, diagnosis, prognosis, subtype discovery, and improving clinical workflows. We will also cover research topics such as explainability, causality, trust, robustness, and fairness.

Registration Prerequisites: CSCI 5521 or equivalent. Complete the following Google form to request a permission number from the instructor ( https://forms.gle/z8X9pVZfCWMpQQ6o6  ).

Visualization with AI

Meeting Time: 04:00 PM‑05:15 PM TTh  Instructor: Qianwen Wang Course Description: This course aims to investigate how visualization techniques and AI technologies work together to enhance understanding, insights, or outcomes.

This is a seminar style course consisting of lectures, paper presentation, and interactive discussion of the selected papers. Students will also work on a group project where they propose a research idea, survey related studies, and present initial results.

This course will cover the application of visualization to better understand AI models and data, and the use of AI to improve visualization processes. Readings for the course cover papers from the top venues of AI, Visualization, and HCI, topics including AI explainability, reliability, and Human-AI collaboration.    This course is designed for PhD students, Masters students, and advanced undergraduates who want to dig into research.

Registration Prerequisites: Complete the following Google form to request a permission number from the instructor ( https://forms.gle/YTF5EZFUbQRJhHBYA  ). Although the class is primarily intended for PhD students, motivated juniors/seniors and MS students who are interested in this topic are welcome to apply, ensuring they detail their qualifications for the course.

Visualizations for Intelligent AR Systems

Meeting Time: 04:00 PM‑05:15 PM MW  Instructor: Zhu-Tian Chen Course Description: This course aims to explore the role of Data Visualization as a pivotal interface for enhancing human-data and human-AI interactions within Augmented Reality (AR) systems, thereby transforming a broad spectrum of activities in both professional and daily contexts. Structured as a seminar, the course consists of two main components: the theoretical and conceptual foundations delivered through lectures, paper readings, and discussions; and the hands-on experience gained through small assignments and group projects. This class is designed to be highly interactive, and AR devices will be provided to facilitate hands-on learning.    Participants will have the opportunity to experience AR systems, develop cutting-edge AR interfaces, explore AI integration, and apply human-centric design principles. The course is designed to advance students' technical skills in AR and AI, as well as their understanding of how these technologies can be leveraged to enrich human experiences across various domains. Students will be encouraged to create innovative projects with the potential for submission to research conferences.

Registration Prerequisites: Complete the following Google form to request a permission number from the instructor ( https://forms.gle/Y81FGaJivoqMQYtq5 ). Students are expected to have a solid foundation in either data visualization, computer graphics, computer vision, or HCI. Having expertise in all would be perfect! However, a robust interest and eagerness to delve into these subjects can be equally valuable, even though it means you need to learn some basic concepts independently.

Sustainable Computing: A Systems View

Meeting Time: 09:45 AM‑11:00 AM  Instructor: Abhishek Chandra Course Description: In recent years, there has been a dramatic increase in the pervasiveness, scale, and distribution of computing infrastructure: ranging from cloud, HPC systems, and data centers to edge computing and pervasive computing in the form of micro-data centers, mobile phones, sensors, and IoT devices embedded in the environment around us. The growing amount of computing, storage, and networking demand leads to increased energy usage, carbon emissions, and natural resource consumption. To reduce their environmental impact, there is a growing need to make computing systems sustainable. In this course, we will examine sustainable computing from a systems perspective. We will examine a number of questions:   • How can we design and build sustainable computing systems?   • How can we manage resources efficiently?   • What system software and algorithms can reduce computational needs?    Topics of interest would include:   • Sustainable system design and architectures   • Sustainability-aware systems software and management   • Sustainability in large-scale distributed computing (clouds, data centers, HPC)   • Sustainability in dispersed computing (edge, mobile computing, sensors/IoT)

Registration Prerequisites: This course is targeted towards students with a strong interest in computer systems (Operating Systems, Distributed Systems, Networking, Databases, etc.). Background in Operating Systems (Equivalent of CSCI 5103) and basic understanding of Computer Networking (Equivalent of CSCI 4211) is required.

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Tips for Parents: Spring activities help to build kids’ appreciation of outside world

K-State child development specialist Bradford Wiles says "there are all kinds of really cool activities" for children to explore the outdoors.

Natural world is a learning environment, says K-State child development specialist

At a glance: K-State's Bradford Wiles encourages parents to explore the outdoors with their children this spring. The natural environment is a great learning environment, he says.

More information: Bradford Wiles, 785-532-1939, [email protected]

Related: Applied Research in Child Health and Enhancing Resilience

April 15, 2024

By Pat Melgares , K-State Research and Extension news service

MANHATTAN, Kan. – Along with warmer weather and greener landscapes, the onset of spring brings numerous outdoor opportunities for parents to bond with their children, says Kansas State University child development specialist Bradford Wiles.

“There’s just all kinds of really cool activities and opportunities to support our children’s development in a conscientious and forward-thinking way,” Wiles said.

Wiles said outdoor learning can be very simple.

“Here’s an example: You know more about a tree and its (growth) system than a child could possibly know,” said Wiles, who is also a parent of young children. “You understand that the bark protects it. You understand that it turns the sun's energy into nutrients and energy. You understand it's got a root system.

“Young children don't know these things, and so you don't have to be an expert arborist to be able to say these things and to talk through these things. So, recognize that you have expertise beyond your children’s developmental level.”

Wiles said parents can be creative when planning outdoors time with their kids. Some suggestions include planning a scavenger hunt, or perhaps a bingo-style game in which kids must find certain objects in order to fill their card. Earthworms, anyone?

“One of my favorite things (as a parent) is to try to find different kinds of leaves,” Wiles said. “And if you don't know what the leaf is. that's okay. There are plenty of apps for that as well as you can just take a picture of the leaf and use Google to see what kind of leaf that is.”

Another activity, Wiles adds, is to count “how many different birds you see or hear.”

“The world is out there for you. And children are very curious about it. One of the things that parents can do in all of those things is talk through what happens if we don't treat our planet well. When we don't treat our planet well, those birds aren't here. They've gone further north because they can't handle being near the equator. They can't find things to eat.”

Earth Day is recognized on April 22 in the United States. Many other outdoor activities can help spur children’s learning and awareness toward protecting the world around them.

“For years now, I have made it a policy to pick up at least three pieces of trash whenever I go outside,” Wiles said. So wherever I am, I make it a point to always bring three pieces back. And so, organizing a bunch of children to do that is a lot of fun. It gives them a sense of purpose and recognizing that they're cleaning up and then maybe you talk about recycling.”

Wiles said parents can also find opportunities to learn from their children, who are growing up in a world where sun and wind energy are more common. On rainy days, look for educational books or videos that cover the benefits of protecting the Earth’s natural resources.

“We don’t want this to seem like doom and gloom for the children; you never want to make them feel bad,” Wiles said. “But there are great opportunities to talk through serious things in a safe and cool way while you're learning some things.”

This type of interactive learning, Wiles said, “can not only help you understand your child more -- which is always valuable information -- but can also help you understand what they need to advance and be able to make those changes and advocate for the things that we know are going to be really important as they grow.”

More information on child development is available online from K-State Research and Extension, or from local extension offices in Kansas .

• Updated: 4/15/24