research question to hypothesis generator

Research Question Generator for Free

If you’re looking for the best research question generator, you’re in the right place. Get a list of ideas for your essay, research paper, or any other project with this online tool.

• 🎓 How to Use the Tool
• 🤔 What Is a Research Question?
• 😺 Research Question Examples
• 👣 Steps to Making a Research Question

📝 Research Question Maker: the Benefits

🔗 references, 🎓 research question generator: how to use it.

Research can’t be done without a clear purpose, an intention behind it.

This intention is usually reflected in a research question, which indicates how you approach your study topic.

If you’re unsure how to write a good research question or are new to this process, you’ll surely benefit from our free online tool. All you need is:

• Indicate your search term or title
• Stipulate the subject or academic area
• Press “Generate questions”
• Choose a suitable research question from the generated list.

As you can see, this is the best research question generator requiring minimal input for smart question formulation. Try it out to see how simple the process is.

🤔 Why Make an Inquiry Question?

A research question is a question that you formulate for your scientific inquiry . It is a question that sets the scope for your study and determines how you will approach the identified problem, gap, or issue.

Questions can be descriptive , meaning they aim to describe or measure a subject of the researcher's interest.

Otherwise, they can be exploratory , focusing on the under-researched areas and aiming to expand the existing research evidence on the topic.

If there's enough knowledge about the subject, and you want to dig deeper into the existing trends and relationships, you can also use an explanatory research question.

What Makes a Strong Research Question?

The strength of your formulated research question determines the quality of your research, whether it’s a short argumentative essay or an extensive research paper . So, you should review the quality of your question before conducting the full-scale study.

Its parameters of quality are as follows:

• Clarity . The question should be specific about the focus of your inquiry.
• Complexity . It should not be self-obvious or primitively answered with a “yes” or “no” variant.
• Focus . The question should match the size and type of your academic assignment.
• Conciseness . It should be brief and understandable.
• Debatability . There should be more than one potential answer to the question.

😺 Research Question Examples: Good & Not So Good

Here are some examples to illustrate what we mean by quality criteria and how you can ensure that your question meets them.

Lack of Clarity

The bad example is too general and does not clearly estimate what effect you want to analyze or what aspect of video gaming you're interested in. A much better variant is in the right column.

Look at some other research question examples that are clear enough:

• Sex trafficking: why do we have to address it?
• Palliative care: what constitutes the best technique for technicians communication with patients and families?
• How do vacuum cleaners work?
• What does it mean to age well?

Lack of Focus

The bad example is not focused, as it doesn’t specify what benefits you want to identify and in what context the uniform is approached. A more effective variant is in the right column.

Look at some other research question examples that are focused enough:

• How are biochemical conditions and brain activity linked to crime?
• World wars and national conflicts: what were the reasons?
• Why does crime exist in society?
• Decolonization in Canada: what does decolonization mean?

The bad example is too simplistic and doesn’t focus on the aspects of help that dogs can give to their owners. A more effective variant is in the right column.

Look at some other research question examples that are complex enough:

• How is resource scarcity impacting the chocolate industry?
• What should the Brazilian government do about reducing Amazon’s deforestation?
• Why is a collaborative approach vital during a pandemic?
• What impact has COVID-19 had on the economy?
• How to teach handwriting effectively?

Lack of Debatability

The problem of diabetes is well-known and doesn’t cause any doubts. So, you should add debatability to the discussed issue.

Look at some other research question examples that are debatable enough:

• Online vs. print journalism: what is more beneficial?
• Why will artificial intelligence not replace human in near future?
• What are the differences between art and design?
• Crime TV: how is criminality represented on television?

The question in the left column is too long and ambiguous, making the readers lose focus. You can shorten it without losing the essence.

Look at some other research question examples that are concise enough:

• What is the best way to address obesity in the US?
• Doctoral degree in nursing: why is it important?
• What are the benefits of X-rays in medicine?
• To what extent do emotions influence moral judgment?
• Why did the Industrial Revolution happen in England?

👣 Steps to Generate Research Questions

Now, it’s time to get down from science to practice. Here is a tried-and-tested algorithm for killer research question generation.

• Pick a topic . Once you get a writing assignment, it’s time to find an appropriate topic first . You can’t formulate a thesis statement or research question if you know nothing about your subject, so it's time to narrow your scope and find out as much as possible about the upcoming task.
• Research the topic . After you’re brainstormed several topic options, you should do some research. This stage takes the guesswork out of the academic process, allowing you to discover what scholars and other respected people think about your subject.
• Clarify who your audience is . Think about who will read your piece. Will it be the professor, your classmates, or the general audience consisting of laypersons? Ensure the research question sounds competent enough for a professor and understandable enough for laypeople.
• Approach the subject critically . With a well-articulated topic at hand, you should start asking the "why's" and "how's" about it. Look at the subject as a kid; don't limit your curiosity. You're sure to arrive at some interesting topics to reveal the hidden sides of the chosen issue.
• Evaluate the questions . Now that you have a couple of questions about your topic, evaluate them in terms of research value. Are all of them clear and focused? Will answering all of them take time and research, or is the answer already on the surface? By assessing each option you’ve formulated, you’re sure to choose one leader and use it as your main research question for the scientific study.

Thank you for reading this article! If you need to quickly formulate a thesis statement, consider using our free thesis maker .

❓ Research Questions Generator FAQ

Updated: Jul 19th, 2024

• Developing research questions - Library - Monash University
• Formulation of Research Question – Stepwise Approach - PMC
• Examples of Good and Bad Research Questions
• How To Write a Research Question: Steps and Examples
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With the IvyPanda question generator, you can get a unique research question for your assignment, be it an essay, research, proposal, or speech. Our tool will make a perfect question just in a couple of clicks. Try our generator to write the best paper possible.

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AI Hypothesis Generator

Hypothesis Generator to help you come up with a boilerplate hypothesis for your test ideas. Generate well-structured hypothesis in under 10 seconds!

1. Give us a brief about your hypothesis...

Hypotheses in A/B Testing

Hypotheses form an integral part of A/B Testing. They provide a clear path and expected outcome for the test, based on the initial conditions, such as the user interface and user experience, among others. A well-defined hypothesis is the foundation of any successful A/B test, guiding the direction of the test and serving as a benchmark against which the test’s results are evaluated.

What are the benefits?

The Automated Hypothesis Creator simplifies the first step in the A/B testing process and provides several benefits:

• Quick and efficient hypothesis generation.
• Saves time and resources which can often be invested in analysing the output of the A/B test.
• Provides insightful and scientifically-backed predictions.
• Outlines a clear picture for the A/B test, thus leading to more accurate outcomes.

How to Use it with A/B Testing?

To use the Automated Hypothesis Creator with A/B testing, follow these simple steps:

• Begin by clearly formulating your query.
• Use the text area in the tool to provide the necessary input data.
• Click the “Create Hypothesis” button.
• Wait for a while for the tool to process your request and generate a hypothesis.
• Once the hypothesis is created, use it as a basis for your A/B test.

Try other free tools:

• A/B Test Headline Generator
• Sample Size Calculator
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Hypothesis Generator

Generate hypotheses for your research.

• Academic Research: Generate hypotheses for your thesis, dissertation, or any academic paper.
• Data Analysis: Create hypotheses to guide your data exploration and analysis.
• Market Research: Develop hypotheses to understand market trends and consumer behavior.
• Product Development: Formulate hypotheses to guide your product testing and development process.
• Scientific Research: Generate hypotheses for your experiments or observational studies.

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Research Hypothesis Generator Online

• ️👍 Hypothesis Maker: the Benefits
• ️🔎 How to Use the Tool?
• ️🕵️ What Is a Research Hypothesis?
• ️⚗️ Scientific Method
• ️🔗 References

👍 Hypothesis Maker: the Benefits

Here are the key benefits of this null and alternative hypothesis generator.

🔎 Hypothesis Generator: How to Use It?

Whenever you conduct research, whether a 5-paragraph essay or a more complex assignment, you need to create a hypothesis for this study.

Clueless about how to create a good hypothesis?

No need to waste time and energy on this small portion of your writing process! You can always use our hypothesis creator to get a researchable assumption in no time.

To get a ready-made hypothesis idea, you need to:

• State the object of your study
• Specify what the object does
• Lay out the outcome of that activity
• Indicate the comparison group

Once all data is inserted into the fields, you can press the “Generate now” button and get the result from our hypothesis generator for research paper or any other academic task.

🕵️ What Is a Research Hypothesis?

A hypothesis is your assumption based on existing academic knowledge and observations of the surrounding natural world.

It also involves a healthy portion of intuition because you should arrive at an interesting, commonsense question about the phenomena or processes you observe.

The traditional formula for hypothesis generation is an “if…then” statement, reflecting its falsifiability and testability.

What do these terms mean?

• Testability means you can formulate a scientific guess and test it with data and analysis.
• Falsifiability is a related feature, allowing you to refute the hypothesis with data and show that your guess has no tangible support in real-world data.

For example, you might want to hypothesize the following:

If children are given enough free play time, their intelligence scores rise quicker.

You can test this assumption by observing and measuring two groups – children involved in much free play and those who don’t get free play time. Once the study period ends, you can measure the intelligence scores in both groups to see the difference, thus proving or disproving your hypothesis, which will be testing your hypothesis. If you find tangible differences between the two groups, your hypothesis will be proven, and if there is no difference, the hypothesis will prove false.

Null and Alternative Hypothesis

As a rule, hypotheses are presented in pairs in academic studies, as your scientific guess may be refuted or proved. Thus, you should formulate two hypotheses – a null and alternative variant of the same guess – to see which one is proved with your experiment.

The alternative hypothesis is formulated in an affirmative form, assuming a specific relationship between variables. In other words, you hypothesize that the predetermined outcome will be observed if one condition is met.

Watching films before sleep reduces the quality of sleep.

The null hypothesis is formulated in a negative form, suggesting that there is no association between the variables of your interest. For example:

Watching films before sleep doesn’t affect the quality of sleep.

⚗️ Creating a Hypothesis: the Key Steps

The development and testing of multiple hypotheses are the basis of the scientific method .

Without such inquiries, academic knowledge would never progress, and humanity would remain with a limited understanding of the natural world.

How can you contribute to the existing academic base with well-developed and rigorously planned scientific studies ? Here is an introduction to the empirical method of scientific inquiry.

Step #1: Observe the World Around You

Look around you to see what’s taking place in your academic area. If you’re a biology researcher, look into the untapped biological processes or intriguing facts that nobody has managed to explain before you.

What’s surprising or unusual in your observations? How can you approach this area of interest?

That’s the starting point of an academic journey to new knowledge.

Step #2: Ask Questions

Now that you’ve found a subject of interest, it’s time to generate scientific research questions.

A question can be called scientific if it is well-defined, focuses on measurable dimensions, and is largely testable.

Some hints for a scientific question are:

• What effect does X produce on Y?
• What happens if the intensity of X’s impact reduces or rises?
• What is the primary cause of X?
• How is X related to Y in this group of people?
• How effective is X in the field of C?

As you can see, X is the independent variable , and Y is the dependent variable.

This principle of hypothesis formulation is vital for cases when you want to illustrate or measure the strength of one variable’s effect on the other.

Step #3: Generate a Research Hypothesis

After asking the scientific question, you can hypothesize what your answer to it can be.

You don’t have any data yet to answer the question confidently, but you can assume what effect you will observe during an empirical investigation.

For example, suppose your background research shows that protein consumption boosts muscle growth.

In that case, you can hypothesize that a sample group consuming much protein after physical training will exhibit better muscle growth dynamics compared to those who don’t eat protein. This way, you’re making a scientific guess based on your prior knowledge of the subject and your intuition.

Step #4: Hold an Experiment

With a hypothesis at hand, you can proceed to the empirical study for its testing. As a rule, you should have a clearly formulated methodology for proving or disproving your hypothesis before you create it. Otherwise, how can you know that it is testable? An effective hypothesis usually contains all data about the research context and the population of interest.

For example:

Marijuana consumption among U. S. college students reduces their motivation and academic achievement.

• The study sample here is college students.
• The dependent variable is motivation and academic achievement, which you can measure with any validated scale (e.g., Intrinsic Motivation Inventory).
• The inclusion criterion for the study’s experimental group is marijuana use.
• The control group might be a group of marijuana non-users from the same population.
• A viable research methodology is to ask both groups to fill out the survey and compare the results.

Step #5: Analyze Your Findings

Once the study is over and you have the collected dataset, it’s time to analyze the findings.

The methodology should also delineate the criteria for proving or disproving the hypothesis.

Using the previous section’s example, your hypothesis is proven if the experimental group reveals lower motivational scores and has a lower GPA . If both groups’ motivation and GPA scores aren’t statistically different, your hypothesis is false.

Step #6: Formulate Your Conclusion

Using your study’s hypothesis and outcomes, you can now generate a conclusion . If the alternative hypothesis is proven, you can conclude that marijuana use hinders students’ achievement and motivation. If the null hypothesis is validated, you should report no identified relationship between low academic achievement and weed use.

Thank you for reading this article! Note that if you need to conduct a business analysis, you can try our free tools: SWOT , VRIO , SOAR , PESTEL , and Porter’s Five Forces .

❓ Research Hypothesis Generator FAQ

❓ what is a research hypothesis.

A hypothesis is a guess or assumption you make by looking at the available data from the natural world. You assume a specific relationship between variables or phenomena and formulate that supposition for further testing with experimentation and analysis.

❓ How to write a hypothesis?

To compose an effective hypothesis, you need to look at your research question and formulate a couple of ways to answer it. The available scientific data can guide you to assume your study’s outcome. Thus, the hypothesis is a guess of how your research question will be answered by the end of your research.

❓ What is the difference between prediction and hypothesis?

A prediction is your forecast about the outcome of some activities or experimentation. It is a guess of what will happen if you perform some actions with a specific object or person. A hypothesis is a more in-depth inquiry into the way things are related. It is more about explaining specific mechanisms and relationships.

❓ What makes a good hypothesis?

A strong hypothesis should indicate the dependent and independent variables, specifying the relationship you assume between them. You can also strengthen your hypothesis by indicating a specific population group, an intervention period, and the context in which you’ll hold the study.

Updated: Aug 23rd, 2024

🔗 References

• What is and How to Write a Good Hypothesis in Research?
• Research questions, hypotheses and objectives – PMC – NCBI
• Developing the research hypothesis – PubMed
• Alternative Hypothesis – SAGE Research Methods
• Alternative Hypothesis Guide: Definition, Types and Examples

Use Our Free A/B Testing Hypothesis Generator . Never Miss Key Elements From Your Hypotheses. Get Big Conversion Lifts.

Observation, inadvertent impact.

Streamline Your Hypothesis Generation Research with Custom Templates the Pros Use.

Have questions about a/b testing hypotheses, what is a hypothesis.

Many people define a hypothesis as an “educated guess”.

To be more precise, a properly constructed hypothesis predicts a possible outcome to an experiment or a test where one variable (the independent one ) is tweaked and/or modified and the impact is measured by the change in behavior of another variable (generally the dependent one).

A hypothesis should be specific (it should clearly define what is being altered and what is the expected impact), data-driven (the changes being made to the independent variable should be based on historic data or theories that have been proven in the past), and testable (it should be possible to conduct the proposed test in a controlled environment to establish the relationship between the variables involved, and disprove the hypothesis - should it be untrue.)

What is the Cost of a Hastily Assembled Hypothesis?

According to an analysis of over 28,000 tests run using the Convert Experiences platform, only 1 in 5 tests proves to be statistically significant.

While more and more debate is opening up around sticking to the concept of 95% statistical significance, it is still a valid rule of thumb for optimizers who do not want to get into the fray with peeking vs. no peeking, and custom stopping rules for experiments.

There might be a multitude of reasons why a test does not reach statistical significance. But framing a tenable hypothesis that already proves itself logistically feasible on paper is a better starting point than a hastily assembled assumption.

Moreover, the aim of an A/B test may be to extract a learning, but some learnings come with heavy costs. 26% decrease in conversion rates to be specific.

A robust hypothesis may not be the answer to all testing woes, but it does help prioritisation of possible solutions and leads testing teams to pick low hanging fruits.

How is an A/B Testing Hypothesis Different?

An A/B test should be treated with the same rigour as tests conducted in laboratories. That is an easy way to guarantee better hypotheses, more relevant experiments, and ultimately more profitable optimization programs.

The focus of an A/B test should be on first extracting a learning , and then monetizing it in the form of increased registration completions, better cart conversions and more revenue.

If that is true, then an A/B test hypothesis is not very different from a regular scientific hypothesis. With a couple of interesting points to note:

• Most scientific hypotheses proceed with one independent variable and one dependent variable, for the sake of simplicity. But in A/B tests, there might be changes made to several independent variables at the same time. Under such circumstances it is good to explore the relationship between the independent variables to make sure that they do not inadvertently impact one another. For example changing both the value proposition and button copy of a landing page to determine improvement in click through or completion rates is tricky. Reaching a point where the browser is compelled to click the button could easily have been impacted by the value proposition (as in a strong hook and heading). So what caused the improvement in the dependent variable? Was it the change to the first element or the second one?
• The concept of Operational Definition is non-negotiable in most laboratory experiments. And comes baked with the question of ethics or morality. Operation Definition is the specific process that will be used to quantify the change in the value/behavior of the independent variable in the test. As an example, if a test wishes to measure the level of frustration that subjects experience when they are exposed to certain stimuli, researchers must be careful to define exactly how they will measure the output or frustration. Should they allow the test subjects to act out, in which case they may hurt or harm other individuals. Or should they use a non-invasive technique like an fMRI scan to monitor brain activity and collect the needed data. In A/B tests however, since data is collected through relatively inanimate channels like analytics dashboards, generally little thought is spared to Operational Definition and the impact of A/B testing on the human subjects (site traffic in this case).

The 5 Essential Parts of an A/B Testing Hypothesis

A robust A/B testing hypothesis should be assembled in 5 key parts:

1. OBSERVATION

This includes a clear outline of the problem (the unexplained phenomenon) observed and what it entails. This section should be completely free of conjecture and rely solely on good quality data - either qualitative and/or quantitative - to bring a potential area of improvement to light. It also includes a mention of the way in which the data is collected.

Proper observation ensures a credible hypothesis that is easy to “defend” later down the line.

2. EXECUTION

This is the where, what, and the who of the A/B test. It specifies the change(s) you will be making to site element(s) in an attempt to solve the problem that has been outlined under “OBSERVATION”. It serves to also clearly define the segment of site traffic that will be exposed to the experiment.

Proper execution guidelines set the rhythm for the A/B test. They define how easy or difficult it will be to deploy the test and thus aid hypothesis prioritization .

This is where you make your educated guess or informed prediction. Based on a diligently identified OBSERVATION and EXECUTION guidelines that are possible to deploy, your OUTCOME should clearly mention two things:

• The change (increase or decrease) you expect to see to the problem or the symptoms of the problem identified under OBSERVATION.
• The Key Performance Indicators (KPIs) you will be monitoring to gauge whether your prediction has panned out, or not.

In general most A/B tests have one primary KPI and a couple of secondary KPIs or ways to measure impact. This is to ensure that external influences do not skew A/B test results and even if the primary KPI is compromised in some way, the secondary KPIs do a good job of indicating that the change is indeed due to the implementation of the EXECUTION guidelines, and not the result of unmonitored external factors.

4. LOGISTICS

An important part of hypothesis formulation, LOGISTICS talk about what it will take to collect enough clean data from which a reliable conclusion can be drawn. How many unique tested visitors, what is the statistical significance desired, how many conversions is enough and what is the duration for which the A/B test should run? Each question on its own merits a blog or a lesson. But for the sake of convenience, Convert has created a Free Sample Size & A/B/N Test Duration Calculator .

Set the right logistical expectations so that you can prioritise your hypotheses for maximum impact and minimum effort .

5. INADVERTENT IMPACT

This is a nod in the direction of ethics in A/B testing and marketing, because experiments involve humans and optimizers should be aware of the possible impact on their behavior.

Often a thorough analysis at this stage can modify the way impact is measured or an experiment is conducted. Or Convert certainly hopes that this will be the case in future. Here’s why ethics do matter in testing.

Now Organize, Prioritise & Learn from Your Hypotheses.

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Online Hypothesis Generator

Forge precise, research-backed hypotheses in a snap using our top-notch hypothesis creator, ensuring your study starts on solid ground..

How to Create a Solid & Precise Hypothesis with EssayGPT?

Ever wondered how to come up with a hypothesis that's both detailed and relevant? Kick-start your research endeavors with EssayGPT's hypothesis generator by these steps:

• 1. Start by by indicating the positive or negative trajectory of your hypothesis in the "Effect" section.
• 2. Then, enter specifics of the experimental group in the "Who (what)" field.
• 3. Contrast the experimental group against its counterpart by detailing the control group in the appropriate section.
• 4. Pinpoint the element of study you're measuring by populating the "The measured thing is" field.
• 5. Choose between GPT 3.5 or GPT 4, and hit 'Generate' for your AI-empowered hypotheses.

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Why EssayGPT's Hypothesis Creator Stands Above the Rest?

Embarking on a research venture necessitates precision, clarity, and an unwavering commitment to reliability. EssayGPT  promises all of this and more, setting itself far apart from the competition.

Let’s dive into the unparalleled features of our hypothesis generator:

AI-Powered Precision: Central to the EssayGPT's hypothesis generator is an avant-garde AI framework. This ensures every hypothesis generated is data-driven, accurate, and aligns with your specified parameters.

Swift, On-Point Outputs: Time is of the essence in research. EssayGPT's hypothesis generator pledges quick turnarounds, without compromising the quality and relevance of the generated hypotheses.

Diverse Subject Mastery: From social sciences to intricate physics postulations, EssayGPT's hypothesis generator extends its prowess across a plethora of disciplines, ensuring your topic, no matter how niche, finds its rightful hypothesis.

A Breeze of Usability: Ditch convoluted interfaces. EssayGPT's hypothesis generator boasts an intuitive design for all users, making hypothesis crafting as effortless as a couple of clicks.

Key Steps on Writing Proper Research Hypothesis with EssayGPT

Tapping into the potential of EssayGPT's hypothesis generator can revolutionize your research process. However, to optimize the AI's capabilities, a few key considerations can significantly enhance the coherence and relevance of the generated hypotheses.

Here's a deeper dive into those nuances.

Precision in Input: The tool's prowess lies in its ability to interpret and process the information it's given. Just as a finely tuned instrument delivers the best music, clear and specific inputs allow the generator to produce accurate hypotheses. Being vague or too broad might lead to generic outcomes that don’t precisely serve your research aims.

Alignment with Research Context: The essence of a valuable hypothesis is its seamless fit within the broader research landscape. It's not just about a statement, but one that directly speaks to, and illuminates, the research problem or question you're addressing. By ensuring that the generated hypothesis aligns contextually, you guarantee its relevance and applicability.

Vocabulary Matters: Each field of study has its lexicon. Incorporating field-specific terms or jargon can transform a generic statement into a specialized hypothesis. It’s not just about linguistic accuracy, but about imbuing your hypothesis with the depth and resonance pertinent to your study's discipline.

The Human Element: AI is a powerful tool, but it's the human touch that brings depth, intuition, and context. After the AI crafts the hypothesis, it's beneficial to weave in personal insights or adjust nuances. This ensures that while the hypothesis is technically sound, it also captures the unique intricacies and flavors of individual research endeavors.

Iconic Features of EssayGPT's Hypothesis Maker at a Glance

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1. Can EssayGPT's hypothesis creator tackle complex and multidimensional topics?

Absolutely. The hypothesis creator harnesses a state-of-the-art AI algorithm, expertly designed to navigate even the most complex and multidimensional subjects. Leveraging advanced contextual comprehension coupled with vast datasets, the tool is adept at crafting accurate hypotheses irrespective of topic intricacy.

2. Are users expected to incur any costs when using EssayGPT's Hypothesis maker?

The basic version of the hypothesis generator is free and permits users to generate content up to 3,000 words per week. For users requiring more extensive capabilities, we offer subscription plans that provide increased word limits and access to our advanced content generation features.

3. Does the EssayGPT hypothesis generator offer support for multiple languages?

Certainly! EssayGPT's esteemed hypothesis generator is linguistically versatile, offering compatibility with an impressive roster of over 30 languages. This ensures that your research endeavors remain unhindered, irrespective of the language of preference.

4. How does EssayGPT's hypothesis generator ensure the uniqueness of the generated hypothesis?

Ensuring that your hypotheses are both pristine and unparalleled is at the heart of EssayGPT's ethos. To this end, our hypothesis generator taps into cutting-edge language models to ensure that every hypothesis sculpted retains an aura of unmatched originality.

Use Our Hypothesis Generator to Power Your Research Journey

Try EssayGPT's Hypothesis Generator to explore new frontiers. Formulate testable hypotheses to supercharge your research!

Hypothesis Maker

The best free AI hypothesis maker to master the art of hypothesis creation with ease. Generate high-quality and accurate hypotheses in minutes.

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• 10 Research Question Examples to Guide Your Research Project

10 Research Question Examples to Guide your Research Project

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

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

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

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

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

Other interesting articles

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

Methodology

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

 Statistics

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

Research bias

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

Cite this Scribbr article

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McCombes, S. (2023, October 19). 10 Research Question Examples to Guide your Research Project. Scribbr. Retrieved August 26, 2024, from https://www.scribbr.com/research-process/research-question-examples/

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Research Question Generator: Best Tool for Students

Stuck formulating a research question? Try the tool we’ve made! With our research question generator, you’ll get a list of ideas for an academic assignment of any level. All you need to do is add the keywords you’re interested in, push the button, and enjoy the result!

Now, here comes your inspiration 😃

Please try again with some different keywords.

Why Use Research Question Generator?

The choice of research topic is a vital step in the process of any academic task completion. Whether you’re working on a small essay or a large dissertation, your topic will make it fail or fly. The best way to cope with the naming task and proceed to the writing part is to use our free online tool for title generation. Its benefits are indisputable.

• The tool generates research questions, not just topics
• It makes questions focused on your field of interest
• It’s free and quick in use

Research Question Generator: How to Use

Using our research question generator tool, you won’t need to crack your brains over this part of the writing assignment anymore. All you need to do is:

• Insert your study topic of interest in the relevant tab
• Choose a subject and click “Generate topics”
• Grab one of the offered options on the list

The results will be preliminary; you should use them as an initial reference point and refine them further for a workable, correctly formulated research question.

Research Questions: Types & Examples

Depending on your type of study (quantitative vs. qualitative), you might need to formulate different research question types. For instance, a typical quantitative research project would need a quantitative research question, which can be created with the following formula:

Variable(s) + object that possesses that variable + socio-demographic characteristics

You can choose among three quantitative research question types: descriptive, comparative, and relationship-based. Let's consider each type in more detail to clarify the practical side of question formulation.

Descriptive

As its name suggests, a descriptive research question inquires about the number, frequency, or intensity of something and aims to describe a quantitative issue. Some examples include:

• How often do people download personal finance apps in 2022?
• How regularly do Americans go on holidays abroad?
• How many subscriptions for paid learning resources do UK students make a year?

Comparative

Comparative research questions presuppose comparing and contrasting things within a research study. You should pick two or more objects, select a criterion for comparison, and discuss it in detail. Here are good examples:

• What is the difference in calorie intake between Japanese and American preschoolers?
• Does male and female social media use duration per day differ in the USA?
• What are the attitudes of Baby Boomers versus Millennials to freelance work?

Relationship-based

Relationship-based research is a bit more complex, so you'll need extra work to formulate a good research question. Here, you should single out:

• The independent variable
• The dependent variable
• The socio-demographics of your population of interest

Let’s illustrate how it works:

• How does the socio-economic status affect schoolchildren’s dropout rates in the UK?
• What is the relationship between screen time and obesity among American preschoolers?

Research Question Maker FAQ

In a nutshell, a research question is the one you set to answer by performing a specific academic study. Thus, for instance, if your research question is, “How did global warming affect bird migration in California?," you will study bird migration patterns concerning global warming dynamics.

You should think about the population affected by your topic, the specific aspect of your concern, and the timing/historical period you want to study. It’s also necessary to specify the location – a specific country, company, industry sector, the whole world, etc.

A great, effective research question should answer the "who, what, when, where" questions. In other words, you should define the subject of interest, the issue of your concern related to that subject, the timeframe, and the location of your study.

If you don’t know how to write a compelling research question, use our automated tool to complete the task in seconds. You only need to insert your subject of interest, and smart algorithms will do the rest, presenting a set of workable, interesting question suggestions.

Research Question Generator

Provide a topic or keywords to generate research questions.

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PICOT Research Question Generator - Full Version

Welcome to the PICOT Research Question Generator - Full Version! You will be prompted below to choose one of four potential objectives for your PICOT research question. Then, you will enter terms related to your PICOT research question into text boxes that describe each of the five PICOT components. You will then be able to generate your PICOT research question by clicking on a button.

Based on the choice of objective for your PICOT research question and the terms you entered for the five PICOT components, the rest of the web form will be able to generate your 1) null and alternate hypotheses, 2) your primary independent and dependent variables, 3) a description of your statistical power, and 4) the correct statistical test to answer your PICOT research question. You will also have the option to enter information and make choices regarding your population inclusion and exclusion criteria, sampling method, research design, demographic/clinical/confounding/control variables, and database structure. Finally, you will be able to receive a free download of all the information created by working through the form. It should take you between 15-20 minutes to complete the web form.

Thank you for using the PICOT Research Question Generator!

What is the statistical objective of your PICOT research question?

What is the statistical objective of your PICOT research question? Choose an option below and then select the answers that best fit your statistical objective. *required

The PICOT Research Question

The research question is the foundation of everything in applied research and statistics. The research question directly influences the following:

• The null and alternative research hypotheses
• Choice of research design
• Choice of population and sampling methods
• Choice of demographic, clinical, independent, and dependent variables
• Planning for statistical power and sample size
• Creation and maintenance of databases
• Choice of statistical tests
• Presentation, publication, and dissemination of research findings

Below, you will work through the five parts of the PICOT framework. The text information you enter into the text boxes related to the five PICOT components will be used for the rest of the web form.

Population and PICOT

The first component of the PICOT framework is the Population . The population associated with a research question must be described in order to make proper inferences and generalizations based on research findings. When reading the empirical literature, the population often has its own section in manuscripts and the characteristics of the sample taken from the population are presented in Table 1.

In the text box below, please enter text describing the population of interest for your study in general terms and click on the Submit button.

Next, you need to define the population of interest in regards to inclusion and exclusion criteria . Inclusion criteria are characteristics that potential participants must possess to be included in the study. When defining inclusion criteria, they should be defined across four (4) general areas:

• Demographic characteristics (age, gender, race, ethnicity, education, income, socioeconomic status)
• Clinical characteristics (lab values, comorbidities, medical history)
• Geographic characteristics (city, state, region, zip code, defined area)
• Temporal characteristics (seconds, minutes, hours, days, weeks, months, years, pre-determined time periods)

Define your Population in regards to inclusion criteria in the text box below and click on the Submit button.

Next, you need to define the exclusion criteria associated with the population of interest. Exclusion criteria are characteristics that participants should not possess. Exclusion criteria for a population should include:

• Participants that could have adverse events
• Participants that could be lost to follow-up
• Participants that have missing data
• Participants that could have comorbidities or confounding characteristics

Define your Population in regards to exclusion criteria in the text box below and click on the Submit button.

Intervention and PICOT

Hypothesis-driven studies focus on the effects of an intervention or independent variable on an outcome. The Intervention (I) in the PICOT framework is what researchers are manipulating in order to test the association or effect with the outcome. It could be an active intervention being administered to a population of interest, it could be a given characteristic possessed by a person, or it could be a group of participants that share a characteristic or experience. Essentially, the Intervention (I) is what the researchers are interested in studying because they believe it will cause some sort of effect on the Outcome (O).

In the text box below, please define the Intervention that is being administered and click on the Submit button.

Comparator and PICOT

In hypothesis-driven studies, there is a fundamental and requisite need for some sort of comparison/control/Comparator (C) in order to establish the effects of the Intervention (I). The Comparator (C) in the PICOT framework is compared to the Intervention (I) to see if the intervention has an effect on the outcome above and beyond the comparator.

In the text box below, please define the Comparator that is being administered and click on the Submit button.

Outcome and PICOT

The Outcome in the PICOT research question is what researchers measure for or observe in a population. It is also known as the dependent variable. Researchers measure for an outcome because they have hypothesized a relationship between the independent variable and the dependent/outcome variable. If at all possible, researchers should seek to measure for their outcomes at the current "gold standard" level because doing so increases the internal and external validity of the research study. The measurement of outcomes has a pervasive influence on the following aspects of any research study:

• Statistical power or the ability to detect significant statistical findings
• The magnitude of effect sizes (small, medium, or large) that can be detected
• The sample size that will need to be collected
• The precision and accuracy of measurements and inferences

In the text box below, please define the primary Outcome that will be measured for in your study and click on the Submit button.

Time and PICOT

In the text box below, please define the Time frame for when you will observe the outcomes in your study and click on the Submit button.

Stating the PICOT Research Question

After defining and operationalizing the important components of the research question using PICOT, it is useful to see how the PICOT components are stated in the research question itself. Here are some examples:

Comparing Groups on an Outcome and the PICOT research question

In "Population (P)," what is the difference between "Intervention (I)" and "Comparator (C)" on "Outcome (O)" across "Time (T)?"

Assessing the Change in an Outcome Across Time and the PICOT research question

In "Population (P)," what is the change in "Outcome (O)" across "Time (T)" from baseline or "Comparator (C)" associated with "Intervention (I)?"

Testing the Correlation Between Two Variables and the PICOT research question

In "Population (P)," what is the correlation between "Intervention (I)" and "Comparator (C)" during "Time (T)?"

Predicting for an Outcome when Using Several Variables and the PICOT research question

Stating the research hypothesis and picot.

Hypothesis testing is a central concept when asking research questions in applied research. Remember that researchers choose an independent variable because they hypothesize some sort of association with the dependent/outcome variable. Once a researcher has worked through the PICOT framework to generate a research question, it is useful to see how the PICOT components are stated in the null and alternative hypotheses . Here are some examples:

PICOT Hypothesis when Comparing Groups on an Outcome

Null hypothesis: There is no difference between "Intervention (I)" and "Comparator (C)" on "Outcome (O)."

Alternative hypothesis: There is a difference between "Intervention (I)" and "Comparator (C)" on "Outcome (O)."

PICOT Hypothesis when Assessing the Change in an Outcome Across Time

Null hypothesis: There is no change in "Outcome (O)" across "Time (T)" associated with "Intervention (I)."

Alternative hypothesis: There is a change in "Outcome (O)" across "Time (T)" associated with "Intervention (I)."

PICOT Hypothesis when Testing the Correlation Between Two Variables

Null hypothesis: There is no correlation between "Intervention (I)" and "Comparator (C)."

Alternative hypothesis: There is a correlation between "Intervention (I)" and "Comparator (C)."

PICOT Hypothesis when Predicting for an Outcome Using Several Variables

Null hypothesis: "Intervention (I)" versus "Comparator (C)" does not predict for "Outcome (O)."

Alternative hypothesis: "Intervention (I)" versus "Comparator (C)" does predict for "Outcome (O)."

Choosing a Sampling Methodology and PICOT

The choice of sampling methodology made by researchers depends upon many factors when asking a PICOT research question. If researchers are mining existing data for purposes of a retrospective research design, then a non-probability sampling methodology is being used, often known as convenience sampling. If researchers are planning a prospective research design where outcomes have not occurred AND participants are being randomly selected from the population and being randomly assigned to treatment groups, then probability sampling is being used. Randomization is a central component of probability sampling and allows for researchers to make causal inferences.

Which sampling methodology will you use to sample from the population? *required

Choosing a Research Design and PICOT

Researchers must choose if they are going to perform a retrospective research design or a prospective research design to answer the PICOT research question. The primary difference between retrospective and prospective designs relates to when the Outcome (O) of the PICOT framework is observed. If the outcome has already occurred in the past, then a retrospective research design is being used. If the outcome occurs in the future, then a prospective research design is being used.

The PICOT framework can be directly mapped onto any of the following research designs and can assist in understanding how a research question can be answered by a research design.

Which of the following research designs will you use to answer your PICOT research question? *required

Retrospective Research Designs

Case-control.

In case-control studies, a group of study participants are chosen for participation based on having an outcome of interest. This study group is known as the case group. Next, a group of study participants are sampled that do not have the outcome of interest and are known as the control group. The case and control groups are then compared on demographic and clinical variables that may be potential risk factors for having the outcome of interest. Case-control designs are useful for studying rare disease outcomes and generating hypotheses. There are numerous selection and observation biases associated with a case-control design. See the visual below to understand how PICOT can be mapped onto case-control study.

Click on the button below if a case-control design will answer your PICOT research question.

Cross-sectional

In cross-sectional studies, participant data is collected at one point in time and analyzed to establish the prevalence of demographic and clinical parameters in a given population. Prevalence is defined as the proportion of a clinical parameter or disease state in a population at any given time. All survey studies are considered cross-sectional designs. Inferential associations (provide a p -value) can be tested, when hypothesized in an a priori fashion, but selection (lack of randomization) and observation (effect-cause) biases should be taken into consideration. See the visual below that depicts the PICOT framework mapped onto a cross-sectional study.

Click on the button below if a cross-sectional design will answer your PICOT research question.

Retrospective Cohort

In retrospective cohort studies, an existing cohort of participants from a population of interest and relevant predictor, demographic, and clinical variables are mined to test for significant differences or associations with outcomes of interest. Often times, there is an exposure group and a non-exposure group in the cohort that can be compared on outcome variables across time. Measures of odds and risk with 95% confidence intervals can be calculated. Selection biases (lack of randomization) and observation biases (loss to follow-up and missing or unreliable data) exist. See below for a depiction of how the PICOT framework can be mapped onto a retrospective cohort.

Click on the button below if a retrospective cohort design will answer your PICOT research question.

Prospective Research Designs

Prospective cohort.

In prospective cohort studies, a cohort of participants are sampled from the population. Baseline data on demographic, clinical, and prognostic characteristics are collected. Participants are allocated to intervention groups to test for treatment effects and followed longitudinally to the development of outcomes. Measures of incidence, or the number of new and emergent cases in a population moving forward in time, and risk can be calculated. The time period for follow-up of outcomes should be defined and allow for enough time for outcomes to occur. There are fewer observation and selection biases, but causal inferences cannot be determined. See how PICOT can be mapped onto a prospective cohort design below.

Click on the button below if a prospective cohort design will answer your PICOT research question.

Randomized Controlled Trial

In randomized controlled trials , a population is described in regards to inclusion and exclusion criteria, the population is sampled from using random selection, and then the selected participants are randomly assigned to either a treatment group or a control group. Once assigned, participants either receive the treatment or the control intervention and are then followed forward in time to observe the outcome of interest. Randomization removes confounding effects, reduces selection and observation biases, and allows for causal inferences to be made when testing for the effects of treatments on outcomes. Blinding is also utilized to reduces biases. Randomized controlled trials are considered the "gold standard" research method, but can be costly and take years to complete. The PICOT framework is mapped onto a visual depiction of a randomized controlled trial below.

Click on the button below if a randomized controlled trial will answer your PICOT research question.

Variables and The PICOT Research Question

Independent variable.

What is the primary independent variable in your PICOT research question?

Dependent Variable

What is the primary dependent variable in your PICOT research question?

Demographic Variables

What demographic variables will you collect to describe the sample that is taken from the population of interest? Enter one demographic variable per row and then click on the Submit button.

Clinical, Confounding, or Control Variables

What clinical, confounding, or control variables will you collect for your study? Enter one variable per row and then click on the submit button.

Statistical Power and the PICOT Research Question

• The primary objective of the study
• The effect size
• The sample size
• The scale of measurement of the outcome
• The variance in the population

Click on the button below to get an explanation of the statistical power for your PICOT research question.

Statistical Analysis and the PICOT Research Question

Inferential statistics are used to answer PICOT research questions. When it comes to choosing the correct statistical test based on your PICOT research question, there are three primary aspects of your study that you have already defined that assist in making that decision:

• Compare groups on an outcome
• Assess change in an outcome across time
• Find the correlation between two variables
• Predict for an outcome when using several variables
• Two groups or observations
• Three or more groups or observations
• Categorical outcome
• Ordinal outcome
• Continuous outcome

Click on the button below to get the statistical test will answer your PICOT research question.

Database Management and the PICOT Research Question

The PICOT research question and its components can assist with the creation and maintenance of research databases. Choose which type of database you will use to enter, store, and maintain your research data. *required

Database for Comparing Groups on an Outcome

Database for assessing the change in an outcome across time, database for finding the correlation between two variables, database for predicting for an outcome using several variables, receive your picot research question information.

Receive your PICOT research question, research hypothesis, sampling methodology, research design, variables, statistical power, database, and statistical analysis based on your choices above.

Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Hillsdale, NJ Lawrence Erlbaum Associates, Publishers.

• Call to +1 844 889-9952

Scientific Research Question Generator

Feeling stuck trying to make a fresh and creative research question? Try our free research question generator! Choose a suitable question from a list of suggestions or build your own.

• Question Maker
• Question Finder

Make a scientific research question with this tool in 3 simple steps:

Please try again with some different keywords.

• 🧪 What Is This Tool?

‼️ Why Are Research Questions Important?

• 📃 How to Create a Science Paper?
• 🔗 References

🧪 Scientific Research Question Generator: What Is It?

Welcome to the page of our scientific research question generator! Right about now, you’re probably wondering – what is this tool, and how does it work? We present you with two options – a generator and a builder. You can read more about them below.

Scientific Question Generator

Deciding to use a question generator is a great alternative to save time and get what you want. You won’t have to suffer for hours looking for a fresh and creative idea! Once you customize the generator to your requirements, you’ll get incredible results.

What is good about this option? Simply put, you’ll only need to follow a few basic steps to create a research question. First, enter the keywords for your future work. You can also select a research area to optimize the generator’s search. Run a search for results and choose a question option from the many suggested ideas! You can refresh your search until you find the research question that fits and inspires you the most.

Research Question Builder

This tool has another feature that may come in handy – a generator of individual research questions from scratch. You don’t need to come up with your own options and guess how to write a well-written idea. It is a valuable function that will save time and produce more creative outcomes. To generate it, you’ll have to specify more qualifying study details.

As the first step, decide your study group and the factor that affects it . Next, try to formulate a measurable outcome of your work. You can add another study group to expand the generator’s capabilities. And finally, specify the time frame of the study. As a result, you have a ready-made individualized research question.

A research question is a helpful tool both for students and researchers. Sound and well-constructed questions are the ones that can shape the structure of your study. They should be grounded in consciously chosen data, instead of random variables. We can use these important questions not only for academic objectives but also in other life situations. For example, by studying the research questions of a potential employer, you can understand the suitability of the company and this kind of job for you.

A well-worded question will be easier for you to answer. You can also use it to outline your research and identify possible problems. That approach will reduce the time it takes to prepare the design of your study. To create a good research question , you need to:

• Choose an area of interest.
• Focus on a specific topic.
• Compose smaller support questions .
• Select the type of data collection and review the applicable literature.
• Identify your target audience.

📃 How to Create a Good Science Paper?

Scientific research papers are similar to the standard essays you are used to writing in school and college. But they have their specificities that you should be aware of. In this section, we have broken down the structure of a typical science paper and explained what goes into each part.

Your title should be specific and concise. It should also describe the subject and be comprehensive. However, it should be clear enough to be understood by a broader target audience, not just narrowly focused specialists.

The abstract is often a necessary component of academic work. The principal aim is to allow the reader a quick look at the scientific material and decide whether they are interested. However, this part shouldn’t be as technical as the main study, so as not to distract them. The abstract consists of general objectives, methods, results, and conclusions, and is approximately 150 to 250 words long. Note that you shouldn’t include citations, notations, and abbreviations.

Introduction

You should write an introduction describing the statement of your problem, and why it’s relevant and worthwhile. A few paragraphs will be enough. You can mention the main sources you have been working with to keep your audience involved. Also, remember to provide the necessary context and background information for your research. You can finish the introduction by explaining the essence of your research question and the value of your answer.

Methods & Materials

In this section of the paper, you should provide the methods and materials you have used for your study. It’s necessary to make your results replicable, and use qualitative or quantitative research methods (or a mix of both). You can use tables, diagrams, and charts to visually represent this information. You shouldn’t disclose your work findings, but you can include preview conclusions for reference.

At this point, we present the final study results, outlining the essential conclusions. Remember, there is no need to discuss the findings or cause-and-effect relationships. Avoid including subtotal results you have received and don’t affect the bottom line. Also, avoid manipulating your audience or exaggerating your achievements, as your results should be testable.

Provide the most meaningful results for discussion . Describe how these results relate to your question and how they are consistent with the results of other researchers. Indicate if the results coincided with your expectations and how you can interpret them. Also, mention if your findings raise issues and how they impact the scope of the study. You may finish up with the relevance of your conclusions.

When you give data in tables or charts, be sure to include a header describing the information in them. Don’t use tables or charts if they are irrelevant. Also, don’t insert them if you need to display data that can fit into a couple of sentences. Make sure to annotate all the visual data you end up using and mention them in the list of figures in the appendix.

Every scientific research paper must have a list of references at the end. This is to avoid plagiarism and to support the validity of your study. Remember to use notations as you go along and indicate them in the text. Then, you must list all the literature used in alphabetical order at the end of the paper. Double-check the citation style of your institution before making this list.

We hope you found our tool helpful in your work! Be sure to check out the FAQ section below if you still have any questions.

❓ Scientific Question Generator – FAQ

❓ how do you develop a scientific question.

Formulate the question in such a way that you can study it. It should be clear, understandable, and brief. After reading your research question, the reader should understand what your paper will be about. Therefore, it should have an objective , relevance, and meaning.

❓ What are good examples of a science research question?

“What are the legal aspects affecting the decrease in people who drive under the influence of alcohol in the USA?” — This question focuses on a defined topic and reviews the effectiveness of existing legislation.  

“How can universities improve the environment for students to become more LGBT-inclusive?” — This question focuses on one specific issue and addresses a narrowly targeted area.

❓ What are the 3 qualities of a good scientific question?

A good question should be feasible in the context of the research accessible to the field of study, ethical, sufficient methods, and materials. It should be interesting, engaging, and intriguing to the target audience. Finally, it should also be relevant and provide new ideas to the chosen field for future research.

Updated: May 17th, 2024

📎 References

• Scientific Writing Made Easy: A Step-by-Step Guide to Undergraduate Writing in the Biological Sciences – Sheela P. Turbek, Taylor M. Chock, Kyle Donahue, Caroline A. Havrilla, Angela M. Oliverio, Stephanie K. Polutchko, Lauren G. Shoemaker & Lara Vimercati, Ecological Society of America
• Writing the Scientific Paper – Emily Wortman-Wunder & Kate Kiefer, Colorado State University
• Organizing Your Social Sciences Research Paper, University of Southern California
• Your research question – Imperial College London
• Developing research questions – Monash University

Research Question Generator Online

Are you looking for effective aid in research question formulation? Try our research question generator and get ideas for any project instantly.

• 🤖 How to Use the Tool

❗ Why Is a Research Question Important?

🔖 research question types & examples, 🗺️ how to generate a research question.

• 👀 More Examples
• 🔍 References

🤖 How to Use a Research Question Generator?

Struggling to develop a good research question for your college essay , proposal , or dissertation ? Don't waste time anymore, as our research question generator is available online for free.

Our tool is designed to provide original questions to suit any subject discipline.

Generate your questions in a few easy steps as shown below:

• Add your research group and the influencing factor.
• Indicate your dependent variable (the thing you’re planning to measure).
• Add the optional parameters (the second research group and the time frame).
• Look at the examples if necessary.

Once you get the initial results, you can still refine the questions to get relevant and practical research questions for your project.

The main importance of formulating a research question is to break down a broad topic and narrow it to a specific field of investigation . It helps you derive a practical knowledge of the topic of interest. The research question also acts as a guiding structure for the entire investigation from paragraph to paragraph. Besides, you can define research issues and spot gaps in the study.

The research questions disclose the boundaries and limitations of your research, ensuring it is consistent and relevant. Ultimately, these questions will directly affect the research methods you will use to collect and analyze data. They also affect the process of generating a thesis statement . With a checker proposal, you can also polish your research question to ensure it aligns with the research purpose.

The research writing process covers different types of questions, depending on the depth of study and subject matter. It is important to know the kind of research you want to do; it will help you in the formulation of an effective research question. You can select quantitative, qualitative, or mixed methods studies to develop your questions.

Let us explore some of these question types in detail to help you choose a workable option for your project:

Quantitative Research Questions

Quantitative questions are specific and objective, providing detailed information about a particular research topic . The data you collect from this research type is quantifiable and can be studied using figures.

These questions also delineate a relationship between the research design and the research question.

Quantitative questions focus on issues like:

• "How often"
• "How intense"
• "Is there a statistical relationship"

They illustrate the response with numbers.

In addition, quantitative questions help you to explore existing patterns in data from a specific location or context. The collected information allows researchers to make logical and data-driven conclusions.

This type of research question can be classified further into 3 categories.

Descriptive Research Questions

Such questions seek to describe a quantifiable problem and investigate the numbers, rates, or intensity of the issue. They are usually used to write descriptive papers .

Comparative Research Questions

As the name suggests, comparative questions intend to compare and contrast two or more issues in a research project. These questions are used in comparative papers . To formulate such a question, identify two or more variables, choose a standard for comparison, and present an in-depth discussion.

Let's look at a few examples.

Relationship-based Research Questions

Relationship-based questions reveal and identify a connection between two or more research variables . Such questions entail a dependent variable, an independent variable, and a socio-demographic of the population you are interested in studying.

Qualitative Research Questions

Qualitative research questions are open-ended and aim to explore or explain respondents' subjective meanings and experiences . You can't measure the data you collect from a qualitative research question in figures, as it's mostly narrative. Some of the common types include those described below.

Exploratory Research Questions

These questions investigate a particular research topic without any assumptions.

Explanatory Research Questions

These questions examine the reasons and find connections between existing entities.

Mixed Methods Studies

When you combine quantitative and qualitative research questions, you will get a mixed-method research study . It answers your research question more comprehensively since it combines the advantages of both research methods in a pragmatic study .

This mixed study can focus on quantitative data (score comparison with attitude ranking) and qualitative insights from student interviews about attitudes.

We have outlined a few steps to generate exceptional questions for students who don't know how to write them effectively.

👀 More Research Question Examples

• Why do minorities delay going to the doctor?
• What makes humans mortal genetically?
• Why and how did the US get involved in the Korean War?
• The virus COVID-19: what went wrong?
• What is cancel culture, and can it go too far?
• How do human infants acquire a language?
• Eastern vs. Western religions: what’s the difference?
• Why is capitalism better than socialism?
• What do Hamlet and Oedipus have in common?
• How does language influence our world?
• Competence for nurses: why is it important?
• COVID-19 pandemic: what we can learn from the past?

❓ Research Question Generator FAQ

❓ how to form a research question.

You should select an interesting topic related to the subject you are studying. Carry out preliminary research with our research question generator online and pick the question from the list of offered suggestions. Refine the question until you are satisfied with the result.

❓ What makes a good research question?

An effective research question should focus on a single issue and clearly state the research direction you will take. The topic should neither be too broad nor too narrow – just enough to keep you focused on the main scope of the study. Also, it should be answerable with a comprehensive analysis.

❓ How to find the research question in an article?

In an academic article, the research question is usually placed at the end of the introduction, right before the literature review. At times, it may be included in the methods section – after the review of academic research.

❓ How to write a quantitative research question?

Identify what claim you want to make in your research purpose. Choose a dependent variable, an independent variable, and a target population, and formulate the assumed relationship between the variables for that respondent group. Ensure the data you collect is measured within a specific context.

🔗 References

• Types of Research Questions With Examples
• Developing research questions - Library - Monash University
• Research Question - Research Guide - LibGuides
• How To Write a Research Question: Steps and Examples
• How to Write a Research Question - GMU Writing Center

• Call to +1 (844) 889-9952

Write a Research Question for Me — A Free Tool for Students

Are you looking for the best research question generator? You’re in the right place! Get a list of ideas for your essay, research paper, or any other project with our online tool.

Looking for a research question for your paper?

Get lots of ideas in 3 simple steps:

Please try again with some different keywords.

Look at the sentences below. What do they have in common?

• How does implementing mindfulness-based stress reduction techniques affect healthcare professionals’ well-being and job performance in high-stress environments?
• What is the impact of social media on mental health?

These are both research questions, even though they are very different. Each research paper needs a unique question corresponding to the assignment topic and writing requirements. This article will teach you to use the Write a Research Question for Me tool. You’ll also learn how to create a perfect research question and find good examples.

🤔 Why Use the Research Question Writer?

• ️⚙️ How to Access the Tool

🔎 How to Make a Research Question

📋 research title examples for students, 🔗 references.

Here are the main benefits of our tool:

Research Question Importance

The research question plays a fundamental role in guiding the research process. It provides a clear focus and purpose for the study. A well-formulated research question contains specific information. It defines the variables under investigation, the population of interest, and the expected outcomes. It is necessary for the research because it helps define the study’s scope, design , and methodology.

Unlike a hypothesis, which makes a specific prediction, a research question explores a broader inquiry. A thesis statement, on the other hand, summarizes the main argument of a research paper.

The research question is a foundation for developing a hypothesis or refining a thesis statement. It guides the researcher in formulating predictions and addressing the study objectives.

⚙️ Write a Research Question for Me – How to Access the Tool

This tool is accessible and user-friendly, as you need only Internet access to use it. Here’s what you need to do:

• Enter your search term into the appropriate field.
• Click the button.
• Check out research question examples in the menu below the tool.

To gain maximum benefits from this tool, you should understand how to create a research question yourself. Below, you’ll find a detailed guide on formulating research questions.

Develop a Topic

If you are at the stage of formulating a research question, you probably already have a topic. But if not, here is how to choose one.

When picking a research topic , consider its relevance, available resources, and your interests. You can choose based on curiosity, familiarity, and academic significance. We suggest exploring diverse sources, brainstorming, and refining ideas to find a compelling research title.

Research the Field

When researching a topic, identify relevant keywords that capture the core concepts. Select appropriate sources such as scholarly databases, books, and reputable websites.

Conduct systematic searches using these keywords to gather relevant materials. To synthesize the information, read and critically evaluate each source. Note key findings, arguments, and concepts. Identify connections, patterns, and gaps in the literature. Organize your references according to their publication date, methodology, or theme, depending on what suits your topic best.

Brainstorm Questions

Brainstorming is crucial in the research process as it helps generate ideas and perspectives. It allows you to divide your topic into smaller components, explore different angles, and consider additional research questions.

By brainstorming, you can combine parts from multiple questions, synthesize information, and refine your ideas. It enables you to explore the depth of the topic, identify gaps in existing knowledge, and gain new insights. Brainstorming fosters critical thinking and creativity in choosing the right research topic or question.

Apply FINER Framework

The FINER framework provides a structured approach for evaluating and designing research projects. Your topic should be feasible, interesting, novel, ethical, relevant:

• “Feasible” emphasizes the need for research to be practical regarding available resources, time, and ethical constraints.
• “Interesting” highlights the importance of choosing an intellectually stimulating research question that contributes to knowledge.
• “Novel” stresses that the study should fill gaps or extend existing knowledge.
• “Ethical” emphasizes the need to conduct research ethically , ensuring participant safety and privacy.
• “Relevant” underscores the importance of research that addresses real-world problems or has practical implications.

Polish Your Question

Check whether your research question meets the following requirements and edit it as necessary.

If you need help refining your question, don’t hesitate to seek feedback from peers, mentors, or advisors to evaluate the quality of your research question.

In this part, we will compare different types of research questions:

🔺 Qualitative research question:

“How do individuals experience and cope with workplace stress in a remote work environment?”

Qualitative research questions aim to explore and understand phenomena in-depth. They often focus on subjective experiences, meanings, and social contexts. Qualitative questions typically involve open-ended inquiries and seek rich, detailed insights rather than statistical generalizations.

🔺 Quantitative research question:

“What is the relationship between academic performance and sleep duration among college students?”

Quantitative research questions seek to establish relationships or associations between variables using numerical data. They aim to generate statistically significant findings, enabling scholars to generalize their findings to a larger population.

🔺 Mixed methods research question:

“To what extent do digital educational interventions impact students’ learning outcomes and engagement, and how do students perceive and experience these interventions?”

Mixed methods research questions combine qualitative and quantitative approaches to investigate research problems from multiple angles. They seek to integrate qualitative and quantitative data to provide an understanding of a research topic.

❓ Make a Research Question for Me: FAQ

❓ how to write a research question.

To write a research question, identify the main variables or concepts. Consider the particular population or context. Formulate a straightforward question that addresses the research objective. Ensure that the question is specific, measurable, feasible, and relevant to guide your study effectively.

❓ How to Write a Research Question and Hypothesis?

To write a research question and hypothesis, begin by formulating a research question that explores the relationship between variables. Then, develop a hypothesis that makes a specific prediction about that relationship. The hypothesis should be based on existing knowledge or theories and be testable through empirical data.

❓ How to Write a Qualitative Research Question?

To write a qualitative research question, focus on exploring and understanding phenomena from a subjective perspective. Begin with “how” or “what,” implying descriptive responses. Consider the specific context and participants of interest. Formulate an open-ended question to explore experiences, meanings, or social processes in-depth.  

❓ How to Write a Mixed Methods Research Question?

To write a mixed methods research question, integrate qualitative and quantitative approaches. Start with a broad research question that explores a phenomenon or issue from multiple perspectives. Then, formulate sub-questions that address specific qualitative and quantitative aspects. Aim for complementarity, convergence, or expansion of understanding using the combination of methods.

❓ How to Write a Quantitative Research Question?

To write a quantitative research question, identify the key variables and their relationship. Frame the question to seek statistical associations or differences using terms like “relationship,” “effect,” or “impact.” Ensure the question is clear, specific, and measurable. It should allow for collecting and analyzing numerical data to draw objective conclusions.

Updated: May 17th, 2024

• Mixed Methods Research Questions and Hypotheses | SAGE Publications
• What Makes a Good Qualitative Research Question? | British Library
• How to Write a Research Question | George Mason University
• What Is the Difference Between a Thesis Statement & a Research Question? | Classroom
• FINER: A Research Framework | Elsevier

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3 Questions: From the bench to the battlefield

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Pursuing an Undergraduate Research Opportunity Program project (or two or three) is a quintessential part of the academic experience at MIT. The program, known as UROP , allows students to be “shoulder to shoulder” with faculty, graduate students, and affiliated researchers in MIT’s labs.

Given the plethora of research options and disciplines — everything from getting a crash course in advancing quantum computing to developing neuroprosthetics — it’s no surprise that over 90 percent of undergraduates end up doing a UROP by the time they graduate.

The half-century-old program continues to evolve, adapting to student interest. Consider the experience of rising senior Alexander Edwards, a nuclear and mechanical engineering student and cadet in the Army ROTC program. The Alabama native leveraged his military training thanks to a new fellowship with the  Institute for Soldier Nanotechnologies (ISN), an endeavor in which MIT, the U.S. Department of Defense (DoD), and industry partners work together to develop technologies that advance the protection, survivability, and mission capabilities of the U.S. Armed Forces. That fellowship is thanks to a gift of alumnus and ROTC graduate Aneal Krishnan ’02, who commissioned as an infantry officer in the U.S. Army. Here, Edwards and Krishnan describe the unique UROP experience and offer advice for future students.

Q: What was special about having a UROP focused on the challenges that a soldier in the field might face, such as the decades-long challenges of managing excess weight while also having proper ballistic protection? Edwards:  Having a UROP specifically designed for MIT ROTC cadets has allowed me to grow my technical skills while also helping contribute to national defense. The ISN works on an array of different interesting research projects related to defense technologies in any and every STEM discipline.

Team members collaborate on basic research to create new materials, devices, processes, and systems, and on applied research to transition promising results toward practical products useful to the war fighter. U.S. Army members at the ISN also give guidance on soldier protection and survivability needs and evaluate the relevance of research proposed to address these needs.

These collaborations help identify dual-use applications for ISN-derived technologies for firefighters, police officers, other first responders, and the civilian community at large.

Krishnan:  The ISN was founded at MIT in 2002, and since its founding, the ISN’s research has been the genesis of over 140 patents, more than 50 startups, and dozens of major transitions of fieldable products. Through the MIT ROTC/ISN fellowship, the ISN benefits from the work of exceptional science and engineering students from MIT, who will also be future military leaders and can bring a real-world perspective to their work. The ROTC cadets benefit by pursuing research as part of their degree in areas in which they are passionate, and that will benefit them in their endeavors after graduation. An overarching success of this fellowship is that there is now a connection between ROTC and MIT’s DoD labs that did not exist in my time as an undergraduate. As a tangible success in this regard, in March 2024, Lt. General Maria Barrett, the commanding general of U.S. Army Cyber Command, conducted a visit at MIT coordinated by both ROTC and the ISN, further elevating the profile of the Institute amongst the DoD top brass.

Q: What was your specific project?  Edwards: My project for the past year has been related to calculating the losses on a radio-photovoltaic thermo-nuclide generator (RTG), also known as a nuclear battery.

My classmate, fellow Army ROTC cadet and fellowship recipient rising junior William Cruz, worked with nanocomputing and piezoelectric fibers to create heartbeat-sensing clothing. He and I can attest that both projects have been incredibly fulfilling, both personally and professionally.

Alongside the UROPs, Mr. Krishnan took us on a day trip in January to Washington D.C., where we were treated to a host of amazing networking opportunities at an array of organizations that seek to transition innovation out of the lab and into the front lines such as Silicon Valley Defense Group, JP Morgan, Peraton, and from In-Q-Tel, the global, not-for-profit strategic investor for the U.S. national security community and America's allies, hosted by fellow MIT alumnus David LoBosco ’02.

Q: What lessons or takeaways did you gain from this experience? What advice might you share with other students?

Edwards:  My main takeaways from all these meetings were, first, the importance of proper communication between the private sector and the government, something that has been lacking of late, and secondly, how I may be able to apply my technical background to consulting, investment, or many other fields.

Overall, I would recommend this program to future MIT ROTC cadets, and both Cadet Cruz and I are exceedingly grateful to Mr. Krishnan and the ISN for the opportunity.

Krishnan: Cadets Edwards and Cruz will now be able to share their experiences with the next class of prospective cadet researchers, thereby increasing the fellowship’s reach and impact. Future initiatives are to expand the fellowship to MIT’s Air Force and Navy ROTC programs, schedule more visits of senior military leaders to both ROTC and ISN, and connect fellowship recipients with ISN startups for career opportunities. And for my part, I’m incredibly fortunate to have met such outstanding Americans as cadets Edwards and Cruz. I’m excited to see where life takes them and hope to be a mentor along the way.

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Related links.

• Undergraduate Research Opportunities Program
• MIT Army ROTC
• MIT Institute for Soldier Nanotechnologies

Related Topics

• Education, teaching, academics
• Nuclear science and engineering
• Undergraduate Research Opportunities Program (UROP)
• Awards, honors and fellowships
• Security studies and military
• Collaboration
• Nanoscience and nanotechnology
• Mechanical engineering
• Energy storage
• Department of Defense (DoD)

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