what is hypothesis in action research

• Resources Home 🏠
• Try SciSpace Copilot
• Search research papers
• Add Copilot Extension
• Try AI Detector
• Try Paraphraser
• Try Citation Generator
• April Papers
• June Papers
• July Papers

The Craft of Writing a Strong Hypothesis

Table of Contents

Writing a hypothesis is one of the essential elements of a scientific research paper. It needs to be to the point, clearly communicating what your research is trying to accomplish. A blurry, drawn-out, or complexly-structured hypothesis can confuse your readers. Or worse, the editor and peer reviewers.

A captivating hypothesis is not too intricate. This blog will take you through the process so that, by the end of it, you have a better idea of how to convey your research paper's intent in just one sentence.

What is a Hypothesis?

The first step in your scientific endeavor, a hypothesis, is a strong, concise statement that forms the basis of your research. It is not the same as a thesis statement , which is a brief summary of your research paper .

The sole purpose of a hypothesis is to predict your paper's findings, data, and conclusion. It comes from a place of curiosity and intuition . When you write a hypothesis, you're essentially making an educated guess based on scientific prejudices and evidence, which is further proven or disproven through the scientific method.

The reason for undertaking research is to observe a specific phenomenon. A hypothesis, therefore, lays out what the said phenomenon is. And it does so through two variables, an independent and dependent variable.

The independent variable is the cause behind the observation, while the dependent variable is the effect of the cause. A good example of this is “mixing red and blue forms purple.” In this hypothesis, mixing red and blue is the independent variable as you're combining the two colors at your own will. The formation of purple is the dependent variable as, in this case, it is conditional to the independent variable.

Different Types of Hypotheses‌

Types of hypotheses

Some would stand by the notion that there are only two types of hypotheses: a Null hypothesis and an Alternative hypothesis. While that may have some truth to it, it would be better to fully distinguish the most common forms as these terms come up so often, which might leave you out of context.

Apart from Null and Alternative, there are Complex, Simple, Directional, Non-Directional, Statistical, and Associative and casual hypotheses. They don't necessarily have to be exclusive, as one hypothesis can tick many boxes, but knowing the distinctions between them will make it easier for you to construct your own.

1. Null hypothesis

A null hypothesis proposes no relationship between two variables. Denoted by H 0 , it is a negative statement like “Attending physiotherapy sessions does not affect athletes' on-field performance.” Here, the author claims physiotherapy sessions have no effect on on-field performances. Even if there is, it's only a coincidence.

2. Alternative hypothesis

Considered to be the opposite of a null hypothesis, an alternative hypothesis is donated as H1 or Ha. It explicitly states that the dependent variable affects the independent variable. A good  alternative hypothesis example is “Attending physiotherapy sessions improves athletes' on-field performance.” or “Water evaporates at 100 °C. ” The alternative hypothesis further branches into directional and non-directional.

• Directional hypothesis: A hypothesis that states the result would be either positive or negative is called directional hypothesis. It accompanies H1 with either the ‘<' or ‘>' sign.
• Non-directional hypothesis: A non-directional hypothesis only claims an effect on the dependent variable. It does not clarify whether the result would be positive or negative. The sign for a non-directional hypothesis is ‘≠.'

3. Simple hypothesis

A simple hypothesis is a statement made to reflect the relation between exactly two variables. One independent and one dependent. Consider the example, “Smoking is a prominent cause of lung cancer." The dependent variable, lung cancer, is dependent on the independent variable, smoking.

4. Complex hypothesis

In contrast to a simple hypothesis, a complex hypothesis implies the relationship between multiple independent and dependent variables. For instance, “Individuals who eat more fruits tend to have higher immunity, lesser cholesterol, and high metabolism.” The independent variable is eating more fruits, while the dependent variables are higher immunity, lesser cholesterol, and high metabolism.

5. Associative and casual hypothesis

Associative and casual hypotheses don't exhibit how many variables there will be. They define the relationship between the variables. In an associative hypothesis, changing any one variable, dependent or independent, affects others. In a casual hypothesis, the independent variable directly affects the dependent.

6. Empirical hypothesis

Also referred to as the working hypothesis, an empirical hypothesis claims a theory's validation via experiments and observation. This way, the statement appears justifiable and different from a wild guess.

Say, the hypothesis is “Women who take iron tablets face a lesser risk of anemia than those who take vitamin B12.” This is an example of an empirical hypothesis where the researcher  the statement after assessing a group of women who take iron tablets and charting the findings.

7. Statistical hypothesis

The point of a statistical hypothesis is to test an already existing hypothesis by studying a population sample. Hypothesis like “44% of the Indian population belong in the age group of 22-27.” leverage evidence to prove or disprove a particular statement.

Characteristics of a Good Hypothesis

Writing a hypothesis is essential as it can make or break your research for you. That includes your chances of getting published in a journal. So when you're designing one, keep an eye out for these pointers:

• A research hypothesis has to be simple yet clear to look justifiable enough.
• It has to be testable — your research would be rendered pointless if too far-fetched into reality or limited by technology.
• It has to be precise about the results —what you are trying to do and achieve through it should come out in your hypothesis.
• A research hypothesis should be self-explanatory, leaving no doubt in the reader's mind.
• If you are developing a relational hypothesis, you need to include the variables and establish an appropriate relationship among them.
• A hypothesis must keep and reflect the scope for further investigations and experiments.

Separating a Hypothesis from a Prediction

Outside of academia, hypothesis and prediction are often used interchangeably. In research writing, this is not only confusing but also incorrect. And although a hypothesis and prediction are guesses at their core, there are many differences between them.

A hypothesis is an educated guess or even a testable prediction validated through research. It aims to analyze the gathered evidence and facts to define a relationship between variables and put forth a logical explanation behind the nature of events.

Predictions are assumptions or expected outcomes made without any backing evidence. They are more fictionally inclined regardless of where they originate from.

For this reason, a hypothesis holds much more weight than a prediction. It sticks to the scientific method rather than pure guesswork. "Planets revolve around the Sun." is an example of a hypothesis as it is previous knowledge and observed trends. Additionally, we can test it through the scientific method.

Whereas "COVID-19 will be eradicated by 2030." is a prediction. Even though it results from past trends, we can't prove or disprove it. So, the only way this gets validated is to wait and watch if COVID-19 cases end by 2030.

Finally, How to Write a Hypothesis

Quick tips on writing a hypothesis

1.  Be clear about your research question

A hypothesis should instantly address the research question or the problem statement. To do so, you need to ask a question. Understand the constraints of your undertaken research topic and then formulate a simple and topic-centric problem. Only after that can you develop a hypothesis and further test for evidence.

2. Carry out a recce

Once you have your research's foundation laid out, it would be best to conduct preliminary research. Go through previous theories, academic papers, data, and experiments before you start curating your research hypothesis. It will give you an idea of your hypothesis's viability or originality.

Making use of references from relevant research papers helps draft a good research hypothesis. SciSpace Discover offers a repository of over 270 million research papers to browse through and gain a deeper understanding of related studies on a particular topic. Additionally, you can use SciSpace Copilot , your AI research assistant, for reading any lengthy research paper and getting a more summarized context of it. A hypothesis can be formed after evaluating many such summarized research papers. Copilot also offers explanations for theories and equations, explains paper in simplified version, allows you to highlight any text in the paper or clip math equations and tables and provides a deeper, clear understanding of what is being said. This can improve the hypothesis by helping you identify potential research gaps.

3. Create a 3-dimensional hypothesis

Variables are an essential part of any reasonable hypothesis. So, identify your independent and dependent variable(s) and form a correlation between them. The ideal way to do this is to write the hypothetical assumption in the ‘if-then' form. If you use this form, make sure that you state the predefined relationship between the variables.

In another way, you can choose to present your hypothesis as a comparison between two variables. Here, you must specify the difference you expect to observe in the results.

4. Write the first draft

Now that everything is in place, it's time to write your hypothesis. For starters, create the first draft. In this version, write what you expect to find from your research.

Clearly separate your independent and dependent variables and the link between them. Don't fixate on syntax at this stage. The goal is to ensure your hypothesis addresses the issue.

5. Proof your hypothesis

After preparing the first draft of your hypothesis, you need to inspect it thoroughly. It should tick all the boxes, like being concise, straightforward, relevant, and accurate. Your final hypothesis has to be well-structured as well.

Research projects are an exciting and crucial part of being a scholar. And once you have your research question, you need a great hypothesis to begin conducting research. Thus, knowing how to write a hypothesis is very important.

Now that you have a firmer grasp on what a good hypothesis constitutes, the different kinds there are, and what process to follow, you will find it much easier to write your hypothesis, which ultimately helps your research.

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

It includes everything you need, including a repository of over 270 million research papers across disciplines, SEO-optimized summaries and public profiles to show your expertise and experience.

If you found these tips on writing a research hypothesis useful, head over to our blog on Statistical Hypothesis Testing to learn about the top researchers, papers, and institutions in this domain.

Frequently Asked Questions (FAQs)

1. what is the definition of hypothesis.

According to the Oxford dictionary, a hypothesis is defined as “An idea or explanation of something that is based on a few known facts, but that has not yet been proved to be true or correct”.

2. What is an example of hypothesis?

The hypothesis is a statement that proposes a relationship between two or more variables. An example: "If we increase the number of new users who join our platform by 25%, then we will see an increase in revenue."

3. What is an example of null hypothesis?

A null hypothesis is a statement that there is no relationship between two variables. The null hypothesis is written as H0. The null hypothesis states that there is no effect. For example, if you're studying whether or not a particular type of exercise increases strength, your null hypothesis will be "there is no difference in strength between people who exercise and people who don't."

4. What are the types of research?

• Fundamental research

• Applied research

• Qualitative research

• Quantitative research

• Mixed research

• Exploratory research

• Longitudinal research

• Cross-sectional research

• Field research

• Laboratory research

• Fixed research

• Flexible research

• Action research

• Policy research

• Classification research

• Comparative research

• Causal research

• Inductive research

• Deductive research

5. How to write a hypothesis?

• Your hypothesis should be able to predict the relationship and outcome.

• Avoid wordiness by keeping it simple and brief.

• Your hypothesis should contain observable and testable outcomes.

• Your hypothesis should be relevant to the research question.

6. What are the 2 types of hypothesis?

• Null hypotheses are used to test the claim that "there is no difference between two groups of data".

• Alternative hypotheses test the claim that "there is a difference between two data groups".

7. Difference between research question and research hypothesis?

A research question is a broad, open-ended question you will try to answer through your research. A hypothesis is a statement based on prior research or theory that you expect to be true due to your study. Example - Research question: What are the factors that influence the adoption of the new technology? Research hypothesis: There is a positive relationship between age, education and income level with the adoption of the new technology.

8. What is plural for hypothesis?

The plural of hypothesis is hypotheses. Here's an example of how it would be used in a statement, "Numerous well-considered hypotheses are presented in this part, and they are supported by tables and figures that are well-illustrated."

9. What is the red queen hypothesis?

The red queen hypothesis in evolutionary biology states that species must constantly evolve to avoid extinction because if they don't, they will be outcompeted by other species that are evolving. Leigh Van Valen first proposed it in 1973; since then, it has been tested and substantiated many times.

10. Who is known as the father of null hypothesis?

The father of the null hypothesis is Sir Ronald Fisher. He published a paper in 1925 that introduced the concept of null hypothesis testing, and he was also the first to use the term itself.

11. When to reject null hypothesis?

You need to find a significant difference between your two populations to reject the null hypothesis. You can determine that by running statistical tests such as an independent sample t-test or a dependent sample t-test. You should reject the null hypothesis if the p-value is less than 0.05.

You might also like

Consensus GPT vs. SciSpace GPT: Choose the Best GPT for Research

Literature Review and Theoretical Framework: Understanding the Differences

Types of Essays in Academic Writing - Quick Guide (2024)

What Is A Research (Scientific) Hypothesis? A plain-language explainer + examples

By:  Derek Jansen (MBA)  | Reviewed By: Dr Eunice Rautenbach | June 2020

If you’re new to the world of research, or it’s your first time writing a dissertation or thesis, you’re probably noticing that the words “research hypothesis” and “scientific hypothesis” are used quite a bit, and you’re wondering what they mean in a research context .

“Hypothesis” is one of those words that people use loosely, thinking they understand what it means. However, it has a very specific meaning within academic research. So, it’s important to understand the exact meaning before you start hypothesizing. 

Research Hypothesis 101

• What is a hypothesis ?
• What is a research hypothesis (scientific hypothesis)?
• Requirements for a research hypothesis
• Definition of a research hypothesis
• The null hypothesis

What is a hypothesis?

Let’s start with the general definition of a hypothesis (not a research hypothesis or scientific hypothesis), according to the Cambridge Dictionary:

Hypothesis: an idea or explanation for something that is based on known facts but has not yet been proved.

In other words, it’s a statement that provides an explanation for why or how something works, based on facts (or some reasonable assumptions), but that has not yet been specifically tested . For example, a hypothesis might look something like this:

Hypothesis: sleep impacts academic performance.

This statement predicts that academic performance will be influenced by the amount and/or quality of sleep a student engages in – sounds reasonable, right? It’s based on reasonable assumptions , underpinned by what we currently know about sleep and health (from the existing literature). So, loosely speaking, we could call it a hypothesis, at least by the dictionary definition.

But that’s not good enough…

Unfortunately, that’s not quite sophisticated enough to describe a research hypothesis (also sometimes called a scientific hypothesis), and it wouldn’t be acceptable in a dissertation, thesis or research paper . In the world of academic research, a statement needs a few more criteria to constitute a true research hypothesis .

What is a research hypothesis?

A research hypothesis (also called a scientific hypothesis) is a statement about the expected outcome of a study (for example, a dissertation or thesis). To constitute a quality hypothesis, the statement needs to have three attributes – specificity , clarity and testability .

Let’s take a look at these more closely.

Need a helping hand?

Hypothesis Essential #1: Specificity & Clarity

A good research hypothesis needs to be extremely clear and articulate about both what’ s being assessed (who or what variables are involved ) and the expected outcome (for example, a difference between groups, a relationship between variables, etc.).

Let’s stick with our sleepy students example and look at how this statement could be more specific and clear.

Hypothesis: Students who sleep at least 8 hours per night will, on average, achieve higher grades in standardised tests than students who sleep less than 8 hours a night.

As you can see, the statement is very specific as it identifies the variables involved (sleep hours and test grades), the parties involved (two groups of students), as well as the predicted relationship type (a positive relationship). There’s no ambiguity or uncertainty about who or what is involved in the statement, and the expected outcome is clear.

Contrast that to the original hypothesis we looked at – “Sleep impacts academic performance” – and you can see the difference. “Sleep” and “academic performance” are both comparatively vague , and there’s no indication of what the expected relationship direction is (more sleep or less sleep). As you can see, specificity and clarity are key.

Hypothesis Essential #2: Testability (Provability)

A statement must be testable to qualify as a research hypothesis. In other words, there needs to be a way to prove (or disprove) the statement. If it’s not testable, it’s not a hypothesis – simple as that.

For example, consider the hypothesis we mentioned earlier:

Hypothesis: Students who sleep at least 8 hours per night will, on average, achieve higher grades in standardised tests than students who sleep less than 8 hours a night.  

We could test this statement by undertaking a quantitative study involving two groups of students, one that gets 8 or more hours of sleep per night for a fixed period, and one that gets less. We could then compare the standardised test results for both groups to see if there’s a statistically significant difference. 

Again, if you compare this to the original hypothesis we looked at – “Sleep impacts academic performance” – you can see that it would be quite difficult to test that statement, primarily because it isn’t specific enough. How much sleep? By who? What type of academic performance?

So, remember the mantra – if you can’t test it, it’s not a hypothesis 🙂

Defining A Research Hypothesis

You’re still with us? Great! Let’s recap and pin down a clear definition of a hypothesis.

A research hypothesis (or scientific hypothesis) is a statement about an expected relationship between variables, or explanation of an occurrence, that is clear, specific and testable.

So, when you write up hypotheses for your dissertation or thesis, make sure that they meet all these criteria. If you do, you’ll not only have rock-solid hypotheses but you’ll also ensure a clear focus for your entire research project.

What about the null hypothesis?

You may have also heard the terms null hypothesis , alternative hypothesis, or H-zero thrown around. At a simple level, the null hypothesis is the counter-proposal to the original hypothesis.

For example, if the hypothesis predicts that there is a relationship between two variables (for example, sleep and academic performance), the null hypothesis would predict that there is no relationship between those variables.

At a more technical level, the null hypothesis proposes that no statistical significance exists in a set of given observations and that any differences are due to chance alone.

And there you have it – hypotheses in a nutshell. 

If you have any questions, be sure to leave a comment below and we’ll do our best to help you. If you need hands-on help developing and testing your hypotheses, consider our private coaching service , where we hold your hand through the research journey.

Psst... there’s more!

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

You Might Also Like:

16 Comments

Very useful information. I benefit more from getting more information in this regard.

Very great insight,educative and informative. Please give meet deep critics on many research data of public international Law like human rights, environment, natural resources, law of the sea etc

In a book I read a distinction is made between null, research, and alternative hypothesis. As far as I understand, alternative and research hypotheses are the same. Can you please elaborate? Best Afshin

This is a self explanatory, easy going site. I will recommend this to my friends and colleagues.

Very good definition. How can I cite your definition in my thesis? Thank you. Is nul hypothesis compulsory in a research?

It’s a counter-proposal to be proven as a rejection

Please what is the difference between alternate hypothesis and research hypothesis?

It is a very good explanation. However, it limits hypotheses to statistically tasteable ideas. What about for qualitative researches or other researches that involve quantitative data that don’t need statistical tests?

In qualitative research, one typically uses propositions, not hypotheses.

could you please elaborate it more

I’ve benefited greatly from these notes, thank you.

This is very helpful

well articulated ideas are presented here, thank you for being reliable sources of information

Excellent. Thanks for being clear and sound about the research methodology and hypothesis (quantitative research)

I have only a simple question regarding the null hypothesis. – Is the null hypothesis (Ho) known as the reversible hypothesis of the alternative hypothesis (H1? – How to test it in academic research?

this is very important note help me much more

Trackbacks/Pingbacks

• What Is Research Methodology? Simple Definition (With Examples) - Grad Coach - […] Contrasted to this, a quantitative methodology is typically used when the research aims and objectives are confirmatory in nature. For example,…

Submit a Comment Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

• Print Friendly

Action Research

• Reference work entry
• First Online: 01 January 2023
• Cite this reference work entry

• David Coghlan 2  

405 Accesses

Action research is an approach to research which aims at both taking action and creating knowledge or theory about that action as the action unfolds. It starts with everyday experience and is concerned with the development of living knowledge. Its characteristics are that it generates practical knowledge in the pursuit of worthwhile purposes; it is participative and democratic as its participants work together in the present tense in defining the questions they wish to explore, the methodology for that exploration, and its application through cycles of action and reflection. In this vein they are agents of change and coresearchers in knowledge generation and not merely passive subjects as in traditional research. In this vein, action research can be understood as a social science of the possible as the collective action is focused on creating a desired future in whatever context the action research is located.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

• Available as PDF
• Read on any device
• Instant download
• Own it forever
• Available as EPUB and PDF
• Durable hardcover edition
• Dispatched in 3 to 5 business days
• Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Banks, S., & Brydon-Miller, M. (2018). Ethics in participatory research for health and social well-being . Abingdon: Routledge.

Book   Google Scholar  

Bradbury, H. (2015). The Sage handbook of action research (3rd ed.). Sage: London.

Bradbury, H., Mirvis, P., Neilsen, E., & Pasmore, W. (2008). Action research at work: Creating the future following the path from Lewin. In P. Reason & H. Bradbury (Eds.), The Sage handbook of action research (2nd ed., pp. 77–92). London: Sage.

Chapter   Google Scholar  

Bradbury, H., Roth, J., & Gearty, M. (2015). The practice of learning history: Local and open approaches. In H. Bradbury (Ed.), The Sage handbook of action research (3rd ed., pp. 17–30). London: Sage.

Brydon-Miller, M., Greenwood, D., & Maguire, P. (2003). Why action research? Action Research, 1 (1), 9–28.034201[1476–7503(200307)1:1].

Article   Google Scholar  

Chevalier, J. M., & Buckles, D. J. (2019). Participatory action research. Theory and methods for engaged inquiry (2nd ed.). Abingdon: Routledge.

Coghlan, D. (2010). Seeking common ground in the diversity and diffusion of action research and collaborative management research action modalities: Toward a general empirical method. In W.A. Pasmore, A.B.. (Rami) Shani and R.W. Woodman (Eds.), Research in organizational change and development (vol 18, pp. 149–181). Bingley: Emerald.

Google Scholar  

Coghlan, D. (2016). Retrieving the philosophy of practical knowing for action research. International Journal of Action Research, 12 , 84–107. https://doi.org/10.1688/IJAR-2016-01 .

Coghlan, D. (2019). Doing action research in your own organization (5th ed.). London: Sage.

Coghlan, D., & Brydon-Miller, M. (2014). The Sage encyclopedia of action research . London: Sage.

Coghlan, D., & Shani, A.B.. (Rami). (2017). Inquiring in the present tense: The dynamic mechanism of action research. Journal of Change Management , 17, 121–137. https://doi.org/10.1080/14697017.2017.1301045 .

Coghlan, D., Shani, A.B.. (Rami), & Hay, G.W. (2019). Toward a social science philosophy of organization development and change. In D.A. Noumair & A.B.. (Rami) Shani (eds.). Research in organizational change and development (Vol. 27, pp. 1–29). Bingley: Emerald.

Gearty, M., & Coghlan, D. (2018). The first-, second- and third-person dynamics of learning history. Systemic Practice & Action Research., 31 , 463–478. https://doi.org/10.1007/s11213-017-9436-5 .

Greenwood, D., & Levin, M. (2007). Introduction to action research (2nd ed.). Thousand Oaks: Sage.

Heron, J., & Reason, P. (1997). A participatory inquiry paradigm. Qualitative Inquiry, 3 , 274–294.

Heron, J., & Reason, P. (2008). Extending epistemology within a cooperative inquiry. In P. Reason & H. Bradbury (Eds.), The Sage handbook of action research (2nd ed., pp. 366–380). London: Sage.

Huxham, C. (2003). Actionresearch as a methodology for theory development. Policy and Politics, 31 (2), 239–248. https://doi.org/10.1332/030557303765371726 .

Koshy, E., Koshy, V., & Waterman, H. (2011). Action research in healthcare . London: Sage.

Lonergan, B. J. (2005). Dimensions of meaning. In B. J. Lonergan (Ed.), The collected work of Bernard Lonergan (Vol. 4, pp. 232–244). Toronto: Toronto University Press.

Marshall, J. (2016). First person action research: Living life as inquiry . London: Sage.

Owen, R., Bessant, J., & Heintz, M. (2013). Responsible innovation: Managing the responsible emergence of science and innovation in society . London: Wiley.

Pasmore, W. A. (2001). Action research in the workplace: The socio-technical perspective. In P. Reason & H. Bradbury (Eds.), The handbook of action research (pp. 38–47). London: Sage.

Revans, R. W. (1971). Developing effective managers . London: Longmans.

Revans, R. (1998). ABC of action learning . London: Lemos& Crane.

Schein, E. H. (2013). Humble inquiry: The gentle art of asking instead of telling . Oakland: Berrett-Kohler.

Shani, A.B.. (Rami), & Coghlan, D. (2019). Action research in business and management: A reflective review. Action Research . https://doi.org/10.1177/1476750319852147 .

Susman, G. I., & Evered, R. D. (1978). An assessment of the scientific merits of action research. Administrative Science Quarterly, 23 , 582–601. https://doi.org/10.2307/2392581 .

Torbert, W. R., & Associates. (2004). Action inquiry . San Francisco: Jossey-Bass.

Whitney, D., & Trosten-Bloom, A. (2010). The power of appreciative inquiry: A practical guide to positive change . Oakland: Berrett-Kohler.

Williamson, G., & Bellman, L. (2012). Action research in nursing and healthcare . London: Sage.

Download references

Author information

Authors and affiliations.

Trinity Business School, University of Dublin Trinity College, Dublin, Ireland

David Coghlan

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to David Coghlan .

Editor information

Editors and affiliations.

Dublin City University, Dublin, Ireland

Vlad Petre Glăveanu

Section Editor information

Webster University Geneva, Geneva, Switzerland

Richard Randell

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this entry

Cite this entry.

Coghlan, D. (2022). Action Research. In: Glăveanu, V.P. (eds) The Palgrave Encyclopedia of the Possible. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-90913-0_180

Download citation

DOI : https://doi.org/10.1007/978-3-030-90913-0_180

Published : 26 January 2023

Publisher Name : Palgrave Macmillan, Cham

Print ISBN : 978-3-030-90912-3

Online ISBN : 978-3-030-90913-0

eBook Packages : Behavioral Science and Psychology Reference Module Humanities and Social Sciences Reference Module Business, Economics and Social Sciences

Share this entry

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Publish with us

Policies and ethics

• Find a journal
• Track your research

education, community-building and change

What is action research and how do we do it?

In this article, we explore the development of some different traditions of action research and provide an introductory guide to the literature.

Contents : what is action research ·  origins · the decline and rediscovery of action research · undertaking action research · conclusion · further reading · how to cite this article . see, also: research for practice ., what is action research.

In the literature, discussion of action research tends to fall into two distinctive camps. The British tradition – especially that linked to education – tends to view action research as research-oriented toward the enhancement of direct practice. For example, Carr and Kemmis provide a classic definition:

Action research is simply a form of self-reflective enquiry undertaken by participants in social situations in order to improve the rationality and justice of their own practices, their understanding of these practices, and the situations in which the practices are carried out (Carr and Kemmis 1986: 162).

Many people are drawn to this understanding of action research because it is firmly located in the realm of the practitioner – it is tied to self-reflection. As a way of working it is very close to the notion of reflective practice coined by Donald Schön (1983).

The second tradition, perhaps more widely approached within the social welfare field – and most certainly the broader understanding in the USA is of action research as ‘the systematic collection of information that is designed to bring about social change’ (Bogdan and Biklen 1992: 223). Bogdan and Biklen continue by saying that its practitioners marshal evidence or data to expose unjust practices or environmental dangers and recommend actions for change. In many respects, for them, it is linked into traditions of citizen’s action and community organizing. The practitioner is actively involved in the cause for which the research is conducted. For others, it is such commitment is a necessary part of being a practitioner or member of a community of practice. Thus, various projects designed to enhance practice within youth work, for example, such as the detached work reported on by Goetschius and Tash (1967) could be talked of as action research.

Kurt Lewin is generally credited as the person who coined the term ‘action research’:

The research needed for social practice can best be characterized as research for social management or social engineering. It is a type of action-research, a comparative research on the conditions and effects of various forms of social action, and research leading to social action. Research that produces nothing but books will not suffice (Lewin 1946, reproduced in Lewin 1948: 202-3)

His approach involves a spiral of steps, ‘each of which is composed of a circle of planning, action and fact-finding about the result of the action’ ( ibid. : 206). The basic cycle involves the following:

This is how Lewin describes the initial cycle:

The first step then is to examine the idea carefully in the light of the means available. Frequently more fact-finding about the situation is required. If this first period of planning is successful, two items emerge: namely, “an overall plan” of how to reach the objective and secondly, a decision in regard to the first step of action. Usually this planning has also somewhat modified the original idea. ( ibid. : 205)

The next step is ‘composed of a circle of planning, executing, and reconnaissance or fact-finding for the purpose of evaluating the results of the second step, and preparing the rational basis for planning the third step, and for perhaps modifying again the overall plan’ ( ibid. : 206). What we can see here is an approach to research that is oriented to problem-solving in social and organizational settings, and that has a form that parallels Dewey’s conception of learning from experience.

The approach, as presented, does take a fairly sequential form – and it is open to a literal interpretation. Following it can lead to practice that is ‘correct’ rather than ‘good’ – as we will see. It can also be argued that the model itself places insufficient emphasis on analysis at key points. Elliott (1991: 70), for example, believed that the basic model allows those who use it to assume that the ‘general idea’ can be fixed in advance, ‘that “reconnaissance” is merely fact-finding, and that “implementation” is a fairly straightforward process’. As might be expected there was some questioning as to whether this was ‘real’ research. There were questions around action research’s partisan nature – the fact that it served particular causes.

The decline and rediscovery of action research

Action research did suffer a decline in favour during the 1960s because of its association with radical political activism (Stringer 2007: 9). There were, and are, questions concerning its rigour, and the training of those undertaking it. However, as Bogdan and Biklen (1992: 223) point out, research is a frame of mind – ‘a perspective that people take toward objects and activities’. Once we have satisfied ourselves that the collection of information is systematic and that any interpretations made have a proper regard for satisfying truth claims, then much of the critique aimed at action research disappears. In some of Lewin’s earlier work on action research (e.g. Lewin and Grabbe 1945), there was a tension between providing a rational basis for change through research, and the recognition that individuals are constrained in their ability to change by their cultural and social perceptions, and the systems of which they are a part. Having ‘correct knowledge’ does not of itself lead to change, attention also needs to be paid to the ‘matrix of cultural and psychic forces’ through which the subject is constituted (Winter 1987: 48).

Subsequently, action research has gained a significant foothold both within the realm of community-based, and participatory action research; and as a form of practice-oriented to the improvement of educative encounters (e.g. Carr and Kemmis 1986).

Exhibit 1: Stringer on community-based action research

A fundamental premise of community-based action research is that it commences with an interest in the problems of a group, a community, or an organization. Its purpose is to assist people in extending their understanding of their situation and thus resolving problems that confront them….

Community-based action research is always enacted through an explicit set of social values. In modern, democratic social contexts, it is seen as a process of inquiry that has the following characteristics:

• It is democratic , enabling the participation of all people.

• It is equitable , acknowledging people’s equality of worth.

• It is liberating , providing freedom from oppressive, debilitating conditions.

• It is life enhancing , enabling the expression of people’s full human potential.

(Stringer 1999: 9-10)

Undertaking action research

As Thomas (2017: 154) put it, the central aim is change, ‘and the emphasis is on problem-solving in whatever way is appropriate’. It can be seen as a conversation rather more than a technique (McNiff et. al. ). It is about people ‘thinking for themselves and making their own choices, asking themselves what they should do and accepting the consequences of their own actions’ (Thomas 2009: 113).

The action research process works through three basic phases:

Look -building a picture and gathering information. When evaluating we define and describe the problem to be investigated and the context in which it is set. We also describe what all the participants (educators, group members, managers etc.) have been doing.

Think – interpreting and explaining. When evaluating we analyse and interpret the situation. We reflect on what participants have been doing. We look at areas of success and any deficiencies, issues or problems.

Act – resolving issues and problems. In evaluation we judge the worth, effectiveness, appropriateness, and outcomes of those activities. We act to formulate solutions to any problems. (Stringer 1999: 18; 43-44;160)

The use of action research to deepen and develop classroom practice has grown into a strong tradition of practice (one of the first examples being the work of Stephen Corey in 1949). For some, there is an insistence that action research must be collaborative and entail groupwork.

Action research is a form of collective self-reflective enquiry undertaken by participants in social situations in order to improve the rationality and justice of their own social or educational practices, as well as their understanding of those practices and the situations in which the practices are carried out… The approach is only action research when it is collaborative, though it is important to realise that action research of the group is achieved through the critically examined action of individual group members. (Kemmis and McTaggart 1988: 5-6)

Just why it must be collective is open to some question and debate (Webb 1996), but there is an important point here concerning the commitments and orientations of those involved in action research.

One of the legacies Kurt Lewin left us is the ‘action research spiral’ – and with it there is the danger that action research becomes little more than a procedure. It is a mistake, according to McTaggart (1996: 248) to think that following the action research spiral constitutes ‘doing action research’. He continues, ‘Action research is not a ‘method’ or a ‘procedure’ for research but a series of commitments to observe and problematize through practice a series of principles for conducting social enquiry’. It is his argument that Lewin has been misunderstood or, rather, misused. When set in historical context, while Lewin does talk about action research as a method, he is stressing a contrast between this form of interpretative practice and more traditional empirical-analytic research. The notion of a spiral may be a useful teaching device – but it is all too easy to slip into using it as the template for practice (McTaggart 1996: 249).

Further reading

This select, annotated bibliography has been designed to give a flavour of the possibilities of action research and includes some useful guides to practice. As ever, if you have suggestions about areas or specific texts for inclusion, I’d like to hear from you.

Explorations of action research

Atweh, B., Kemmis, S. and Weeks, P. (eds.) (1998) Action Research in Practice: Partnership for Social Justice in Education, London: Routledge. Presents a collection of stories from action research projects in schools and a university. The book begins with theme chapters discussing action research, social justice and partnerships in research. The case study chapters cover topics such as: school environment – how to make a school a healthier place to be; parents – how to involve them more in decision-making; students as action researchers; gender – how to promote gender equity in schools; writing up action research projects.

Carr, W. and Kemmis, S. (1986) Becoming Critical. Education, knowledge and action research , Lewes: Falmer. Influential book that provides a good account of ‘action research’ in education. Chapters on teachers, researchers and curriculum; the natural scientific view of educational theory and practice; the interpretative view of educational theory and practice; theory and practice – redefining the problem; a critical approach to theory and practice; towards a critical educational science; action research as critical education science; educational research, educational reform and the role of the profession.

Carson, T. R. and Sumara, D. J. (ed.) (1997) Action Research as a Living Practice , New York: Peter Lang. 140 pages. Book draws on a wide range of sources to develop an understanding of action research. Explores action research as a lived practice, ‘that asks the researcher to not only investigate the subject at hand but, as well, to provide some account of the way in which the investigation both shapes and is shaped by the investigator.

Dadds, M. (1995) Passionate Enquiry and School Development. A story about action research , London: Falmer. 192 + ix pages. Examines three action research studies undertaken by a teacher and how they related to work in school – how she did the research, the problems she experienced, her feelings, the impact on her feelings and ideas, and some of the outcomes. In his introduction, John Elliot comments that the book is ‘the most readable, thoughtful, and detailed study of the potential of action-research in professional education that I have read’.

Ghaye, T. and Wakefield, P. (eds.) CARN Critical Conversations. Book one: the role of the self in action , Bournemouth: Hyde Publications. 146 + xiii pages. Collection of five pieces from the Classroom Action Research Network. Chapters on: dialectical forms; graduate medical education – research’s outer limits; democratic education; managing action research; writing up.

McNiff, J. (1993) Teaching as Learning: An Action Research Approach , London: Routledge. Argues that educational knowledge is created by individual teachers as they attempt to express their own values in their professional lives. Sets out familiar action research model: identifying a problem, devising, implementing and evaluating a solution and modifying practice. Includes advice on how working in this way can aid the professional development of action researcher and practitioner.

Quigley, B. A. and Kuhne, G. W. (eds.) (1997) Creating Practical Knowledge Through Action Research, San Fransisco: Jossey Bass. Guide to action research that outlines the action research process, provides a project planner, and presents examples to show how action research can yield improvements in six different settings, including a hospital, a university and a literacy education program.

Plummer, G. and Edwards, G. (eds.) CARN Critical Conversations. Book two: dimensions of action research – people, practice and power , Bournemouth: Hyde Publications. 142 + xvii pages. Collection of five pieces from the Classroom Action Research Network. Chapters on: exchanging letters and collaborative research; diary writing; personal and professional learning – on teaching and self-knowledge; anti-racist approaches; psychodynamic group theory in action research.

Whyte, W. F. (ed.) (1991) Participatory Action Research , Newbury Park: Sage. 247 pages. Chapters explore the development of participatory action research and its relation with action science and examine its usages in various agricultural and industrial settings

Zuber-Skerritt, O. (ed.) (1996) New Directions in Action Research , London; Falmer Press. 266 + xii pages. A useful collection that explores principles and procedures for critical action research; problems and suggested solutions; and postmodernism and critical action research.

Action research guides

Coghlan, D. and Brannick, D. (2000) Doing Action Research in your own Organization, London: Sage. 128 pages. Popular introduction. Part one covers the basics of action research including the action research cycle, the role of the ‘insider’ action researcher and the complexities of undertaking action research within your own organisation. Part two looks at the implementation of the action research project (including managing internal politics and the ethics and politics of action research). New edition due late 2004.

Elliot, J. (1991) Action Research for Educational Change , Buckingham: Open University Press. 163 + x pages Collection of various articles written by Elliot in which he develops his own particular interpretation of action research as a form of teacher professional development. In some ways close to a form of ‘reflective practice’. Chapter 6, ‘A practical guide to action research’ – builds a staged model on Lewin’s work and on developments by writers such as Kemmis.

Johnson, A. P. (2007) A short guide to action research 3e. Allyn and Bacon. Popular step by step guide for master’s work.

Macintyre, C. (2002) The Art of the Action Research in the Classroom , London: David Fulton. 138 pages. Includes sections on action research, the role of literature, formulating a research question, gathering data, analysing data and writing a dissertation. Useful and readable guide for students.

McNiff, J., Whitehead, J., Lomax, P. (2003) You and Your Action Research Project , London: Routledge. Practical guidance on doing an action research project.Takes the practitioner-researcher through the various stages of a project. Each section of the book is supported by case studies

Stringer, E. T. (2007) Action Research: A handbook for practitioners 3e , Newbury Park, ca.: Sage. 304 pages. Sets community-based action research in context and develops a model. Chapters on information gathering, interpretation, resolving issues; legitimacy etc. See, also Stringer’s (2003) Action Research in Education , Prentice-Hall.

Winter, R. (1989) Learning From Experience. Principles and practice in action research , Lewes: Falmer Press. 200 + 10 pages. Introduces the idea of action research; the basic process; theoretical issues; and provides six principles for the conduct of action research. Includes examples of action research. Further chapters on from principles to practice; the learner’s experience; and research topics and personal interests.

Action research in informal education

Usher, R., Bryant, I. and Johnston, R. (1997) Adult Education and the Postmodern Challenge. Learning beyond the limits , London: Routledge. 248 + xvi pages. Has some interesting chapters that relate to action research: on reflective practice; changing paradigms and traditions of research; new approaches to research; writing and learning about research.

Other references

Bogdan, R. and Biklen, S. K. (1992) Qualitative Research For Education , Boston: Allyn and Bacon.

Goetschius, G. and Tash, J. (1967) Working with the Unattached , London: Routledge and Kegan Paul.

McTaggart, R. (1996) ‘Issues for participatory action researchers’ in O. Zuber-Skerritt (ed.) New Directions in Action Research , London: Falmer Press.

McNiff, J., Lomax, P. and Whitehead, J. (2003) You and Your Action Research Project 2e. London: Routledge.

Thomas, G. (2017). How to do your Research Project. A guide for students in education and applied social sciences . 3e. London: Sage.

Acknowledgements : spiral by Michèle C. | flickr ccbyncnd2 licence

How to cite this article : Smith, M. K. (1996; 2001, 2007, 2017) What is action research and how do we do it?’, The encyclopedia of pedagogy and informal education. [ https://infed.org/mobi/action-research/ . Retrieved: insert date] .

© Mark K. Smith 1996; 2001, 2007, 2017

Last Updated on December 7, 2020 by infed.org

Research Hypothesis In Psychology: Types, & Examples

Saul Mcleod, PhD

Editor-in-Chief for Simply Psychology

BSc (Hons) Psychology, MRes, PhD, University of Manchester

Saul Mcleod, PhD., is a qualified psychology teacher with over 18 years of experience in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.

Learn about our Editorial Process

Olivia Guy-Evans, MSc

Associate Editor for Simply Psychology

BSc (Hons) Psychology, MSc Psychology of Education

Olivia Guy-Evans is a writer and associate editor for Simply Psychology. She has previously worked in healthcare and educational sectors.

On This Page:

A research hypothesis, in its plural form “hypotheses,” is a specific, testable prediction about the anticipated results of a study, established at its outset. It is a key component of the scientific method .

Hypotheses connect theory to data and guide the research process towards expanding scientific understanding

Some key points about hypotheses:

• A hypothesis expresses an expected pattern or relationship. It connects the variables under investigation.
• It is stated in clear, precise terms before any data collection or analysis occurs. This makes the hypothesis testable.
• A hypothesis must be falsifiable. It should be possible, even if unlikely in practice, to collect data that disconfirms rather than supports the hypothesis.
• Hypotheses guide research. Scientists design studies to explicitly evaluate hypotheses about how nature works.
• For a hypothesis to be valid, it must be testable against empirical evidence. The evidence can then confirm or disprove the testable predictions.
• Hypotheses are informed by background knowledge and observation, but go beyond what is already known to propose an explanation of how or why something occurs.

Predictions typically arise from a thorough knowledge of the research literature, curiosity about real-world problems or implications, and integrating this to advance theory. They build on existing literature while providing new insight.

Types of Research Hypotheses

Alternative hypothesis.

The research hypothesis is often called the alternative or experimental hypothesis in experimental research.

It typically suggests a potential relationship between two key variables: the independent variable, which the researcher manipulates, and the dependent variable, which is measured based on those changes.

The alternative hypothesis states a relationship exists between the two variables being studied (one variable affects the other).

A hypothesis is a testable statement or prediction about the relationship between two or more variables. It is a key component of the scientific method. Some key points about hypotheses:

• Important hypotheses lead to predictions that can be tested empirically. The evidence can then confirm or disprove the testable predictions.

In summary, a hypothesis is a precise, testable statement of what researchers expect to happen in a study and why. Hypotheses connect theory to data and guide the research process towards expanding scientific understanding.

An experimental hypothesis predicts what change(s) will occur in the dependent variable when the independent variable is manipulated.

It states that the results are not due to chance and are significant in supporting the theory being investigated.

The alternative hypothesis can be directional, indicating a specific direction of the effect, or non-directional, suggesting a difference without specifying its nature. It’s what researchers aim to support or demonstrate through their study.

Null Hypothesis

The null hypothesis states no relationship exists between the two variables being studied (one variable does not affect the other). There will be no changes in the dependent variable due to manipulating the independent variable.

It states results are due to chance and are not significant in supporting the idea being investigated.

The null hypothesis, positing no effect or relationship, is a foundational contrast to the research hypothesis in scientific inquiry. It establishes a baseline for statistical testing, promoting objectivity by initiating research from a neutral stance.

Many statistical methods are tailored to test the null hypothesis, determining the likelihood of observed results if no true effect exists.

This dual-hypothesis approach provides clarity, ensuring that research intentions are explicit, and fosters consistency across scientific studies, enhancing the standardization and interpretability of research outcomes.

Nondirectional Hypothesis

A non-directional hypothesis, also known as a two-tailed hypothesis, predicts that there is a difference or relationship between two variables but does not specify the direction of this relationship.

It merely indicates that a change or effect will occur without predicting which group will have higher or lower values.

For example, “There is a difference in performance between Group A and Group B” is a non-directional hypothesis.

Directional Hypothesis

A directional (one-tailed) hypothesis predicts the nature of the effect of the independent variable on the dependent variable. It predicts in which direction the change will take place. (i.e., greater, smaller, less, more)

It specifies whether one variable is greater, lesser, or different from another, rather than just indicating that there’s a difference without specifying its nature.

For example, “Exercise increases weight loss” is a directional hypothesis.

Falsifiability

The Falsification Principle, proposed by Karl Popper , is a way of demarcating science from non-science. It suggests that for a theory or hypothesis to be considered scientific, it must be testable and irrefutable.

Falsifiability emphasizes that scientific claims shouldn’t just be confirmable but should also have the potential to be proven wrong.

It means that there should exist some potential evidence or experiment that could prove the proposition false.

However many confirming instances exist for a theory, it only takes one counter observation to falsify it. For example, the hypothesis that “all swans are white,” can be falsified by observing a black swan.

For Popper, science should attempt to disprove a theory rather than attempt to continually provide evidence to support a research hypothesis.

Can a Hypothesis be Proven?

Hypotheses make probabilistic predictions. They state the expected outcome if a particular relationship exists. However, a study result supporting a hypothesis does not definitively prove it is true.

All studies have limitations. There may be unknown confounding factors or issues that limit the certainty of conclusions. Additional studies may yield different results.

In science, hypotheses can realistically only be supported with some degree of confidence, not proven. The process of science is to incrementally accumulate evidence for and against hypothesized relationships in an ongoing pursuit of better models and explanations that best fit the empirical data. But hypotheses remain open to revision and rejection if that is where the evidence leads.

• Disproving a hypothesis is definitive. Solid disconfirmatory evidence will falsify a hypothesis and require altering or discarding it based on the evidence.
• However, confirming evidence is always open to revision. Other explanations may account for the same results, and additional or contradictory evidence may emerge over time.

We can never 100% prove the alternative hypothesis. Instead, we see if we can disprove, or reject the null hypothesis.

If we reject the null hypothesis, this doesn’t mean that our alternative hypothesis is correct but does support the alternative/experimental hypothesis.

Upon analysis of the results, an alternative hypothesis can be rejected or supported, but it can never be proven to be correct. We must avoid any reference to results proving a theory as this implies 100% certainty, and there is always a chance that evidence may exist which could refute a theory.

How to Write a Hypothesis

• Identify variables . The researcher manipulates the independent variable and the dependent variable is the measured outcome.
• Operationalized the variables being investigated . Operationalization of a hypothesis refers to the process of making the variables physically measurable or testable, e.g. if you are about to study aggression, you might count the number of punches given by participants.
• Decide on a direction for your prediction . If there is evidence in the literature to support a specific effect of the independent variable on the dependent variable, write a directional (one-tailed) hypothesis. If there are limited or ambiguous findings in the literature regarding the effect of the independent variable on the dependent variable, write a non-directional (two-tailed) hypothesis.
• Make it Testable : Ensure your hypothesis can be tested through experimentation or observation. It should be possible to prove it false (principle of falsifiability).
• Clear & concise language . A strong hypothesis is concise (typically one to two sentences long), and formulated using clear and straightforward language, ensuring it’s easily understood and testable.

Consider a hypothesis many teachers might subscribe to: students work better on Monday morning than on Friday afternoon (IV=Day, DV= Standard of work).

Now, if we decide to study this by giving the same group of students a lesson on a Monday morning and a Friday afternoon and then measuring their immediate recall of the material covered in each session, we would end up with the following:

• The alternative hypothesis states that students will recall significantly more information on a Monday morning than on a Friday afternoon.
• The null hypothesis states that there will be no significant difference in the amount recalled on a Monday morning compared to a Friday afternoon. Any difference will be due to chance or confounding factors.

More Examples

• Memory : Participants exposed to classical music during study sessions will recall more items from a list than those who studied in silence.
• Social Psychology : Individuals who frequently engage in social media use will report higher levels of perceived social isolation compared to those who use it infrequently.
• Developmental Psychology : Children who engage in regular imaginative play have better problem-solving skills than those who don’t.
• Clinical Psychology : Cognitive-behavioral therapy will be more effective in reducing symptoms of anxiety over a 6-month period compared to traditional talk therapy.
• Cognitive Psychology : Individuals who multitask between various electronic devices will have shorter attention spans on focused tasks than those who single-task.
• Health Psychology : Patients who practice mindfulness meditation will experience lower levels of chronic pain compared to those who don’t meditate.
• Organizational Psychology : Employees in open-plan offices will report higher levels of stress than those in private offices.
• Behavioral Psychology : Rats rewarded with food after pressing a lever will press it more frequently than rats who receive no reward.

• Bipolar Disorder
• Therapy Center
• When To See a Therapist
• Types of Therapy
• Best Online Therapy
• Best Couples Therapy
• Best Family Therapy
• Managing Stress
• Sleep and Dreaming
• Understanding Emotions
• Self-Improvement
• Healthy Relationships
• Student Resources
• Personality Types
• Guided Meditations
• Verywell Mind Insights
• 2024 Verywell Mind 25
• Mental Health in the Classroom
• Editorial Process
• Meet Our Review Board
• Crisis Support

How to Write a Great Hypothesis

Hypothesis Definition, Format, Examples, and Tips

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Amy Morin, LCSW, is a psychotherapist and international bestselling author. Her books, including "13 Things Mentally Strong People Don't Do," have been translated into more than 40 languages. Her TEDx talk,  "The Secret of Becoming Mentally Strong," is one of the most viewed talks of all time.

Verywell / Alex Dos Diaz

• The Scientific Method

Hypothesis Format

Falsifiability of a hypothesis.

• Operationalization

Hypothesis Types

Hypotheses examples.

• Collecting Data

A hypothesis is a tentative statement about the relationship between two or more variables. It is a specific, testable prediction about what you expect to happen in a study. It is a preliminary answer to your question that helps guide the research process.

Consider a study designed to examine the relationship between sleep deprivation and test performance. The hypothesis might be: "This study is designed to assess the hypothesis that sleep-deprived people will perform worse on a test than individuals who are not sleep-deprived."

At a Glance

A hypothesis is crucial to scientific research because it offers a clear direction for what the researchers are looking to find. This allows them to design experiments to test their predictions and add to our scientific knowledge about the world. This article explores how a hypothesis is used in psychology research, how to write a good hypothesis, and the different types of hypotheses you might use.

The Hypothesis in the Scientific Method

In the scientific method , whether it involves research in psychology, biology, or some other area, a hypothesis represents what the researchers think will happen in an experiment. The scientific method involves the following steps:

• Forming a question
• Performing background research
• Creating a hypothesis
• Designing an experiment
• Collecting data
• Analyzing the results
• Drawing conclusions
• Communicating the results

The hypothesis is a prediction, but it involves more than a guess. Most of the time, the hypothesis begins with a question which is then explored through background research. At this point, researchers then begin to develop a testable hypothesis.

Unless you are creating an exploratory study, your hypothesis should always explain what you  expect  to happen.

In a study exploring the effects of a particular drug, the hypothesis might be that researchers expect the drug to have some type of effect on the symptoms of a specific illness. In psychology, the hypothesis might focus on how a certain aspect of the environment might influence a particular behavior.

Remember, a hypothesis does not have to be correct. While the hypothesis predicts what the researchers expect to see, the goal of the research is to determine whether this guess is right or wrong. When conducting an experiment, researchers might explore numerous factors to determine which ones might contribute to the ultimate outcome.

In many cases, researchers may find that the results of an experiment  do not  support the original hypothesis. When writing up these results, the researchers might suggest other options that should be explored in future studies.

In many cases, researchers might draw a hypothesis from a specific theory or build on previous research. For example, prior research has shown that stress can impact the immune system. So a researcher might hypothesize: "People with high-stress levels will be more likely to contract a common cold after being exposed to the virus than people who have low-stress levels."

In other instances, researchers might look at commonly held beliefs or folk wisdom. "Birds of a feather flock together" is one example of folk adage that a psychologist might try to investigate. The researcher might pose a specific hypothesis that "People tend to select romantic partners who are similar to them in interests and educational level."

Elements of a Good Hypothesis

So how do you write a good hypothesis? When trying to come up with a hypothesis for your research or experiments, ask yourself the following questions:

• Is your hypothesis based on your research on a topic?
• Can your hypothesis be tested?
• Does your hypothesis include independent and dependent variables?

Before you come up with a specific hypothesis, spend some time doing background research. Once you have completed a literature review, start thinking about potential questions you still have. Pay attention to the discussion section in the  journal articles you read . Many authors will suggest questions that still need to be explored.

How to Formulate a Good Hypothesis

To form a hypothesis, you should take these steps:

• Collect as many observations about a topic or problem as you can.
• Evaluate these observations and look for possible causes of the problem.
• Create a list of possible explanations that you might want to explore.
• After you have developed some possible hypotheses, think of ways that you could confirm or disprove each hypothesis through experimentation. This is known as falsifiability.

In the scientific method ,  falsifiability is an important part of any valid hypothesis. In order to test a claim scientifically, it must be possible that the claim could be proven false.

Students sometimes confuse the idea of falsifiability with the idea that it means that something is false, which is not the case. What falsifiability means is that  if  something was false, then it is possible to demonstrate that it is false.

One of the hallmarks of pseudoscience is that it makes claims that cannot be refuted or proven false.

The Importance of Operational Definitions

A variable is a factor or element that can be changed and manipulated in ways that are observable and measurable. However, the researcher must also define how the variable will be manipulated and measured in the study.

Operational definitions are specific definitions for all relevant factors in a study. This process helps make vague or ambiguous concepts detailed and measurable.

For example, a researcher might operationally define the variable " test anxiety " as the results of a self-report measure of anxiety experienced during an exam. A "study habits" variable might be defined by the amount of studying that actually occurs as measured by time.

These precise descriptions are important because many things can be measured in various ways. Clearly defining these variables and how they are measured helps ensure that other researchers can replicate your results.

Replicability

One of the basic principles of any type of scientific research is that the results must be replicable.

Replication means repeating an experiment in the same way to produce the same results. By clearly detailing the specifics of how the variables were measured and manipulated, other researchers can better understand the results and repeat the study if needed.

Some variables are more difficult than others to define. For example, how would you operationally define a variable such as aggression ? For obvious ethical reasons, researchers cannot create a situation in which a person behaves aggressively toward others.

To measure this variable, the researcher must devise a measurement that assesses aggressive behavior without harming others. The researcher might utilize a simulated task to measure aggressiveness in this situation.

Hypothesis Checklist

• Does your hypothesis focus on something that you can actually test?
• Does your hypothesis include both an independent and dependent variable?
• Can you manipulate the variables?
• Can your hypothesis be tested without violating ethical standards?

The hypothesis you use will depend on what you are investigating and hoping to find. Some of the main types of hypotheses that you might use include:

• Simple hypothesis : This type of hypothesis suggests there is a relationship between one independent variable and one dependent variable.
• Complex hypothesis : This type suggests a relationship between three or more variables, such as two independent and dependent variables.
• Null hypothesis : This hypothesis suggests no relationship exists between two or more variables.
• Alternative hypothesis : This hypothesis states the opposite of the null hypothesis.
• Statistical hypothesis : This hypothesis uses statistical analysis to evaluate a representative population sample and then generalizes the findings to the larger group.
• Logical hypothesis : This hypothesis assumes a relationship between variables without collecting data or evidence.

A hypothesis often follows a basic format of "If {this happens} then {this will happen}." One way to structure your hypothesis is to describe what will happen to the  dependent variable  if you change the  independent variable .

The basic format might be: "If {these changes are made to a certain independent variable}, then we will observe {a change in a specific dependent variable}."

A few examples of simple hypotheses:

• "Students who eat breakfast will perform better on a math exam than students who do not eat breakfast."
• "Students who experience test anxiety before an English exam will get lower scores than students who do not experience test anxiety."​
• "Motorists who talk on the phone while driving will be more likely to make errors on a driving course than those who do not talk on the phone."
• "Children who receive a new reading intervention will have higher reading scores than students who do not receive the intervention."

Examples of a complex hypothesis include:

• "People with high-sugar diets and sedentary activity levels are more likely to develop depression."
• "Younger people who are regularly exposed to green, outdoor areas have better subjective well-being than older adults who have limited exposure to green spaces."

Examples of a null hypothesis include:

• "There is no difference in anxiety levels between people who take St. John's wort supplements and those who do not."
• "There is no difference in scores on a memory recall task between children and adults."
• "There is no difference in aggression levels between children who play first-person shooter games and those who do not."

Examples of an alternative hypothesis:

• "People who take St. John's wort supplements will have less anxiety than those who do not."
• "Adults will perform better on a memory task than children."
• "Children who play first-person shooter games will show higher levels of aggression than children who do not." 

Collecting Data on Your Hypothesis

Once a researcher has formed a testable hypothesis, the next step is to select a research design and start collecting data. The research method depends largely on exactly what they are studying. There are two basic types of research methods: descriptive research and experimental research.

Descriptive Research Methods

Descriptive research such as  case studies ,  naturalistic observations , and surveys are often used when  conducting an experiment is difficult or impossible. These methods are best used to describe different aspects of a behavior or psychological phenomenon.

Once a researcher has collected data using descriptive methods, a  correlational study  can examine how the variables are related. This research method might be used to investigate a hypothesis that is difficult to test experimentally.

Experimental Research Methods

Experimental methods  are used to demonstrate causal relationships between variables. In an experiment, the researcher systematically manipulates a variable of interest (known as the independent variable) and measures the effect on another variable (known as the dependent variable).

Unlike correlational studies, which can only be used to determine if there is a relationship between two variables, experimental methods can be used to determine the actual nature of the relationship—whether changes in one variable actually  cause  another to change.

The hypothesis is a critical part of any scientific exploration. It represents what researchers expect to find in a study or experiment. In situations where the hypothesis is unsupported by the research, the research still has value. Such research helps us better understand how different aspects of the natural world relate to one another. It also helps us develop new hypotheses that can then be tested in the future.

Thompson WH, Skau S. On the scope of scientific hypotheses .  R Soc Open Sci . 2023;10(8):230607. doi:10.1098/rsos.230607

Taran S, Adhikari NKJ, Fan E. Falsifiability in medicine: what clinicians can learn from Karl Popper [published correction appears in Intensive Care Med. 2021 Jun 17;:].  Intensive Care Med . 2021;47(9):1054-1056. doi:10.1007/s00134-021-06432-z

Eyler AA. Research Methods for Public Health . 1st ed. Springer Publishing Company; 2020. doi:10.1891/9780826182067.0004

Nosek BA, Errington TM. What is replication ?  PLoS Biol . 2020;18(3):e3000691. doi:10.1371/journal.pbio.3000691

Aggarwal R, Ranganathan P. Study designs: Part 2 - Descriptive studies .  Perspect Clin Res . 2019;10(1):34-36. doi:10.4103/picr.PICR_154_18

Nevid J. Psychology: Concepts and Applications. Wadworth, 2013.

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

How to Develop a Good Research Hypothesis

The story of a research study begins by asking a question. Researchers all around the globe are asking curious questions and formulating research hypothesis. However, whether the research study provides an effective conclusion depends on how well one develops a good research hypothesis. Research hypothesis examples could help researchers get an idea as to how to write a good research hypothesis.

This blog will help you understand what is a research hypothesis, its characteristics and, how to formulate a research hypothesis

Table of Contents

What is Hypothesis?

Hypothesis is an assumption or an idea proposed for the sake of argument so that it can be tested. It is a precise, testable statement of what the researchers predict will be outcome of the study.  Hypothesis usually involves proposing a relationship between two variables: the independent variable (what the researchers change) and the dependent variable (what the research measures).

What is a Research Hypothesis?

Research hypothesis is a statement that introduces a research question and proposes an expected result. It is an integral part of the scientific method that forms the basis of scientific experiments. Therefore, you need to be careful and thorough when building your research hypothesis. A minor flaw in the construction of your hypothesis could have an adverse effect on your experiment. In research, there is a convention that the hypothesis is written in two forms, the null hypothesis, and the alternative hypothesis (called the experimental hypothesis when the method of investigation is an experiment).

Characteristics of a Good Research Hypothesis

As the hypothesis is specific, there is a testable prediction about what you expect to happen in a study. You may consider drawing hypothesis from previously published research based on the theory.

A good research hypothesis involves more effort than just a guess. In particular, your hypothesis may begin with a question that could be further explored through background research.

To help you formulate a promising research hypothesis, you should ask yourself the following questions:

• Is the language clear and focused?
• What is the relationship between your hypothesis and your research topic?
• Is your hypothesis testable? If yes, then how?
• What are the possible explanations that you might want to explore?
• Does your hypothesis include both an independent and dependent variable?
• Can you manipulate your variables without hampering the ethical standards?
• Does your research predict the relationship and outcome?
• Is your research simple and concise (avoids wordiness)?
• Is it clear with no ambiguity or assumptions about the readers’ knowledge
• Is your research observable and testable results?
• Is it relevant and specific to the research question or problem?

The questions listed above can be used as a checklist to make sure your hypothesis is based on a solid foundation. Furthermore, it can help you identify weaknesses in your hypothesis and revise it if necessary.

Source: Educational Hub

How to formulate a research hypothesis.

A testable hypothesis is not a simple statement. It is rather an intricate statement that needs to offer a clear introduction to a scientific experiment, its intentions, and the possible outcomes. However, there are some important things to consider when building a compelling hypothesis.

1. State the problem that you are trying to solve.

Make sure that the hypothesis clearly defines the topic and the focus of the experiment.

2. Try to write the hypothesis as an if-then statement.

Follow this template: If a specific action is taken, then a certain outcome is expected.

3. Define the variables

Independent variables are the ones that are manipulated, controlled, or changed. Independent variables are isolated from other factors of the study.

Dependent variables , as the name suggests are dependent on other factors of the study. They are influenced by the change in independent variable.

4. Scrutinize the hypothesis

Evaluate assumptions, predictions, and evidence rigorously to refine your understanding.

Types of Research Hypothesis

The types of research hypothesis are stated below:

1. Simple Hypothesis

It predicts the relationship between a single dependent variable and a single independent variable.

2. Complex Hypothesis

It predicts the relationship between two or more independent and dependent variables.

3. Directional Hypothesis

It specifies the expected direction to be followed to determine the relationship between variables and is derived from theory. Furthermore, it implies the researcher’s intellectual commitment to a particular outcome.

4. Non-directional Hypothesis

It does not predict the exact direction or nature of the relationship between the two variables. The non-directional hypothesis is used when there is no theory involved or when findings contradict previous research.

5. Associative and Causal Hypothesis

The associative hypothesis defines interdependency between variables. A change in one variable results in the change of the other variable. On the other hand, the causal hypothesis proposes an effect on the dependent due to manipulation of the independent variable.

6. Null Hypothesis

Null hypothesis states a negative statement to support the researcher’s findings that there is no relationship between two variables. There will be no changes in the dependent variable due the manipulation of the independent variable. Furthermore, it states results are due to chance and are not significant in terms of supporting the idea being investigated.

7. Alternative Hypothesis

It states that there is a relationship between the two variables of the study and that the results are significant to the research topic. An experimental hypothesis predicts what changes will take place in the dependent variable when the independent variable is manipulated. Also, it states that the results are not due to chance and that they are significant in terms of supporting the theory being investigated.

Research Hypothesis Examples of Independent and Dependent Variables

Research Hypothesis Example 1 The greater number of coal plants in a region (independent variable) increases water pollution (dependent variable). If you change the independent variable (building more coal factories), it will change the dependent variable (amount of water pollution).

Research Hypothesis Example 2 What is the effect of diet or regular soda (independent variable) on blood sugar levels (dependent variable)? If you change the independent variable (the type of soda you consume), it will change the dependent variable (blood sugar levels)

You should not ignore the importance of the above steps. The validity of your experiment and its results rely on a robust testable hypothesis. Developing a strong testable hypothesis has few advantages, it compels us to think intensely and specifically about the outcomes of a study. Consequently, it enables us to understand the implication of the question and the different variables involved in the study. Furthermore, it helps us to make precise predictions based on prior research. Hence, forming a hypothesis would be of great value to the research. Here are some good examples of testable hypotheses.

More importantly, you need to build a robust testable research hypothesis for your scientific experiments. A testable hypothesis is a hypothesis that can be proved or disproved as a result of experimentation.

Importance of a Testable Hypothesis

To devise and perform an experiment using scientific method, you need to make sure that your hypothesis is testable. To be considered testable, some essential criteria must be met:

• There must be a possibility to prove that the hypothesis is true.
• There must be a possibility to prove that the hypothesis is false.
• The results of the hypothesis must be reproducible.

Without these criteria, the hypothesis and the results will be vague. As a result, the experiment will not prove or disprove anything significant.

What are your experiences with building hypotheses for scientific experiments? What challenges did you face? How did you overcome these challenges? Please share your thoughts with us in the comments section.

Frequently Asked Questions

The steps to write a research hypothesis are: 1. Stating the problem: Ensure that the hypothesis defines the research problem 2. Writing a hypothesis as an 'if-then' statement: Include the action and the expected outcome of your study by following a ‘if-then’ structure. 3. Defining the variables: Define the variables as Dependent or Independent based on their dependency to other factors. 4. Scrutinizing the hypothesis: Identify the type of your hypothesis

Hypothesis testing is a statistical tool which is used to make inferences about a population data to draw conclusions for a particular hypothesis.

Hypothesis in statistics is a formal statement about the nature of a population within a structured framework of a statistical model. It is used to test an existing hypothesis by studying a population.

Research hypothesis is a statement that introduces a research question and proposes an expected result. It forms the basis of scientific experiments.

The different types of hypothesis in research are: • Null hypothesis: Null hypothesis is a negative statement to support the researcher’s findings that there is no relationship between two variables. • Alternate hypothesis: Alternate hypothesis predicts the relationship between the two variables of the study. • Directional hypothesis: Directional hypothesis specifies the expected direction to be followed to determine the relationship between variables. • Non-directional hypothesis: Non-directional hypothesis does not predict the exact direction or nature of the relationship between the two variables. • Simple hypothesis: Simple hypothesis predicts the relationship between a single dependent variable and a single independent variable. • Complex hypothesis: Complex hypothesis predicts the relationship between two or more independent and dependent variables. • Associative and casual hypothesis: Associative and casual hypothesis predicts the relationship between two or more independent and dependent variables. • Empirical hypothesis: Empirical hypothesis can be tested via experiments and observation. • Statistical hypothesis: A statistical hypothesis utilizes statistical models to draw conclusions about broader populations.

Wow! You really simplified your explanation that even dummies would find it easy to comprehend. Thank you so much.

Thanks a lot for your valuable guidance.

I enjoy reading the post. Hypotheses are actually an intrinsic part in a study. It bridges the research question and the methodology of the study.

Useful piece!

This is awesome.Wow.

It very interesting to read the topic, can you guide me any specific example of hypothesis process establish throw the Demand and supply of the specific product in market

Nicely explained

It is really a useful for me Kindly give some examples of hypothesis

It was a well explained content ,can you please give me an example with the null and alternative hypothesis illustrated

clear and concise. thanks.

So Good so Amazing

Good to learn

Thanks a lot for explaining to my level of understanding

Explained well and in simple terms. Quick read! Thank you

It awesome. It has really positioned me in my research project

Rate this article Cancel Reply

Your email address will not be published.

Enago Academy's Most Popular Articles

• Reporting Research

Choosing the Right Analytical Approach: Thematic analysis vs. content analysis for data interpretation

In research, choosing the right approach to understand data is crucial for deriving meaningful insights.…

Comparing Cross Sectional and Longitudinal Studies: 5 steps for choosing the right approach

The process of choosing the right research design can put ourselves at the crossroads of…

• Industry News

COPE Forum Discussion Highlights Challenges and Urges Clarity in Institutional Authorship Standards

The COPE forum discussion held in December 2023 initiated with a fundamental question — is…

• Career Corner

Unlocking the Power of Networking in Academic Conferences

Embarking on your first academic conference experience? Fear not, we got you covered! Academic conferences…

Research Recommendations – Guiding policy-makers for evidence-based decision making

Research recommendations play a crucial role in guiding scholars and researchers toward fruitful avenues of…

Choosing the Right Analytical Approach: Thematic analysis vs. content analysis for…

Comparing Cross Sectional and Longitudinal Studies: 5 steps for choosing the right…

How to Design Effective Research Questionnaires for Robust Findings

Sign-up to read more

Subscribe for free to get unrestricted access to all our resources on research writing and academic publishing including:

• 2000+ blog articles
• 50+ Webinars
• 10+ Expert podcasts
• 50+ Infographics
• 10+ Checklists
• Research Guides

We hate spam too. We promise to protect your privacy and never spam you.

I am looking for Editing/ Proofreading services for my manuscript Tentative date of next journal submission:

As a researcher, what do you consider most when choosing an image manipulation detector?

• Section 2: Home
• Developing the Quantitative Research Design
• Qualitative Descriptive Design
• Design and Development Research (DDR) For Instructional Design
• Qualitative Narrative Inquiry Research
• Action Research Resource

What is Action Research?

Considerations, creating a plan of action.

• Case Study Design in an Applied Doctorate
• SAGE Research Methods
• Research Examples (SAGE) This link opens in a new window
• Dataset Examples (SAGE) This link opens in a new window
• IRB Resource Center This link opens in a new window

Action research is a qualitative method that focuses on solving problems in social systems, such as schools and other organizations. The emphasis is on solving the presenting problem by generating knowledge and taking action within the social system in which the problem is located. The goal is to generate shared knowledge of how to address the problem by bridging the theory-practice gap (Bourner & Brook, 2019). A general definition of action research is the following: “Action research brings together action and reflection, as well as theory and practice, in participation with others, in the pursuit of practical solutions to issues of pressing concern” (Bradbury, 2015, p. 1). Johnson (2019) defines action research in the field of education as “the process of studying a school, classroom, or teacher-learning situation with the purpose of understanding and improving the quality of actions or instruction” (p.255).

Origins of Action Research

Kurt Lewin is typically credited with being the primary developer of Action Research in the 1940s. Lewin stated that action research can “transform…unrelated individuals, frequently opposed in their outlook and their interests, into cooperative teams, not on the basis of sweetness but on the basis of readiness to face difficulties realistically, to apply honest fact-finding, and to work together to overcome them” (1946, p.211).

Sample Action Research Topics

Some sample action research topics might be the following:

• Examining how classroom teachers perceive and implement new strategies in the classroom--How is the strategy being used? How do students respond to the strategy? How does the strategy inform and change classroom practices? Does the new skill improve test scores? Do classroom teachers perceive the strategy as effective for student learning?
• Examining how students are learning a particular content or objectives--What seems to be effective in enhancing student learning? What skills need to be reinforced? How do students respond to the new content? What is the ability of students to understand the new content?
• Examining how education stakeholders (administrator, parents, teachers, students, etc.) make decisions as members of the school’s improvement team--How are different stakeholders encouraged to participate? How is power distributed? How is equity demonstrated? How is each voice valued? How are priorities and initiatives determined? How does the team evaluate its processes to determine effectiveness?
• Examining the actions that school staff take to create an inclusive and welcoming school climate--Who makes and implements the actions taken to create the school climate? Do members of the school community (teachers, staff, students) view the school climate as inclusive? Do members of the school community feel welcome in the school? How are members of the school community encouraged to become involved in school activities? What actions can school staff take to help others feel a part of the school community?
• Examining the perceptions of teachers with regard to the learning strategies that are more effective with special populations, such as special education students, English Language Learners, etc.—What strategies are perceived to be more effective? How do teachers plan instructionally for unique learners such as special education students or English Language Learners? How do teachers deal with the challenges presented by unique learners such as special education students or English Language Learners? What supports do teachers need (e.g., professional development, training, coaching) to more effectively deliver instruction to unique learners such as special education students or English Language Learners?

Remember—The goal of action research is to find out how individuals perceive and act in a situation so the researcher can develop a plan of action to improve the educational organization. While these topics listed here can be explored using other research designs, action research is the design to use if the outcome is to develop a plan of action for addressing and improving upon a situation in the educational organization.

Considerations for Determining Whether to Use Action Research in an Applied Dissertation

• When considering action research, first determine the problem and the change that needs to occur as a result of addressing the problem (i.e., research problem and research purpose). Remember, the goal of action research is to change how individuals address a particular problem or situation in a way that results in improved practices.
• If the study will be conducted at a school site or educational organization, you may need site permission. Determine whether site permission will be given to conduct the study.
• Consider the individuals who will be part of the data collection (e.g., teachers, administrators, parents, other school staff, etc.). Will there be a representative sample willing to participate in the research?
• If students will be part of the study, does parent consent and student assent need to be obtained?
• As you develop your data collection plan, also consider the timeline for data collection. Is it feasible? For example, if you will be collecting data in a school, consider winter and summer breaks, school events, testing schedules, etc.
• As you develop your data collection plan, consult with your dissertation chair, Subject Matter Expert, NU Academic Success Center, and the NU IRB for resources and guidance.
• Action research is not an experimental design, so you are not trying to accept or reject a hypothesis. There are no independent or dependent variables. It is not generalizable to a larger setting. The goal is to understand what is occurring in the educational setting so that a plan of action can be developed for improved practices.

Considerations for Action Research

Below are some things to consider when developing your applied dissertation proposal using Action Research (adapted from Johnson, 2019):

• Research Topic and Research Problem -- Decide the topic to be studied and then identify the problem by defining the issue in the learning environment. Use references from current peer-reviewed literature for support.
• Purpose of the Study —What need to be different or improved as a result of the study?
• Research Questions —The questions developed should focus on “how” or “what” and explore individuals’ experiences, beliefs, and perceptions.
• Theoretical Framework -- What are the existing theories (theoretical framework) or concepts (conceptual framework) that can be used to support the research. How does existing theory link to what is happening in the educational environment with regard to the topic? What theories have been used to support similar topics in previous research?
• Literature Review -- Examine the literature, focusing on peer-reviewed studies published in journal within the last five years, with the exception of seminal works. What about the topic has already been explored and examined? What were the findings, implications, and limitations of previous research? What is missing from the literature on the topic?  How will your proposed research address the gap in the literature?
• Data Collection —Who will be part of the sample for data collection? What data will be collected from the individuals in the study (e.g., semi-structured interviews, surveys, etc.)? What are the educational artifacts and documents that need to be collected (e.g., teacher less plans, student portfolios, student grades, etc.)? How will they be collected and during what timeframe? (Note--A list of sample data collection methods appears under the heading of “Sample Instrumentation.”)
• Data Analysis —Determine how the data will be analyzed. Some types of analyses that are frequently used for action research include thematic analysis and content analysis.
• Implications —What conclusions can be drawn based upon the findings? How do the findings relate to the existing literature and inform theory in the field of education?
• Recommendations for Practice--Create a Plan of Action— This is a critical step in action research. A plan of action is created based upon the data analysis, findings, and implications. In the Applied Dissertation, this Plan of Action is included with the Recommendations for Practice. The includes specific steps that individuals should take to change practices; recommendations for how those changes will occur (e.g., professional development, training, school improvement planning, committees to develop guidelines and policies, curriculum review committee, etc.); and methods to evaluate the plan’s effectiveness.
• Recommendations for Research —What should future research focus on? What type of studies need to be conducted to build upon or further explore your findings.
• Professional Presentation or Defense —This is where the findings will be presented in a professional presentation or defense as the culmination of your research.

Adapted from Johnson (2019).

Considerations for Sampling and Data Collection

Below are some tips for sampling, sample size, data collection, and instrumentation for Action Research:

Sampling and Sample Size

Action research uses non-probability sampling. This is most commonly means a purposive sampling method that includes specific inclusion and exclusion criteria. However, convenience sampling can also be used (e.g., a teacher’s classroom).

Critical Concepts in Data Collection

Triangulation- - Dosemagen and Schwalbach (2019) discussed the importance of triangulation in Action Research which enhances the trustworthiness by providing multiple sources of data to analyze and confirm evidence for findings.

Trustworthiness —Trustworthiness assures that research findings are fulfill four critical elements—credibility, dependability, transferability, and confirmability. Reflect on the following: Are there multiple sources of data? How have you ensured credibility, dependability, transferability, and confirmability? Have the assumptions, limitations, and delimitations of the study been identified and explained? Was the sample a representative sample for the study? Did any individuals leave the study before it ended? How have you controlled researcher biases and beliefs? Are you drawing conclusions that are not supported by data? Have all possible themes been considered? Have you identified other studies with similar results?

Sample Instrumentation

Below are some of the possible methods for collecting action research data:

• Pre- and Post-Surveys for students and/or staff
• Staff Perception Surveys and Questionnaires
• Semi-Structured Interviews
• Focus Groups
• Observations
• Document analysis
• Student work samples
• Classroom artifacts, such as teacher lesson plans, rubrics, checklists, etc.
• Attendance records
• Discipline data
• Journals from students and/or staff
• Portfolios from students and/or staff

A benefit of Action Research is its potential to influence educational practice. Many educators are, by nature of the profession, reflective, inquisitive, and action-oriented. The ultimate outcome of Action Research is to create a plan of action using the research findings to inform future educational practice. A Plan of Action is not meant to be a one-size fits all plan. Instead, it is mean to include specific data-driven and research-based recommendations that result from a detailed analysis of the data, the study findings, and implications of the Action Research study. An effective Plan of Action includes an evaluation component and opportunities for professional educator reflection that allows for authentic discussion aimed at continuous improvement.

When developing a Plan of Action, the following should be considered:

• How can this situation be approached differently in the future?
• What should change in terms of practice?
• What are the specific steps that individuals should take to change practices?
• What is needed to implement the changes being recommended (professional development, training, materials, resources, planning committees, school improvement planning, etc.)?
• How will the effectiveness of the implemented changes be evaluated?
• How will opportunities for professional educator reflection be built into the Action Plan?

Sample Action Research Studies

Anderson, A. J. (2020). A qualitative systematic review of youth participatory action research implementation in U.S. high schools. A merican Journal of Community Psychology, 65 (1/2), 242–257. https://onlinelibrary-wiley-com.proxy1.ncu.edu/doi/epdf/10.1002/ajcp.12389

Ayvaz, Ü., & Durmuş, S.(2021). Fostering mathematical creativity with problem posing activities: An action research with gifted students. Thinking Skills and Creativity, 40. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=edselp&AN=S1871187121000614&site=eds-live

Bellino, M. J. (2018). Closing information gaps in Kakuma Refugee Camp: A youth participatory action research study. American Journal of Community Psychology, 62 (3/4), 492–507. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ofs&AN=133626988&site=eds-live

Beneyto, M., Castillo, J., Collet-Sabé, J., & Tort, A. (2019). Can schools become an inclusive space shared by all families? Learnings and debates from an action research project in Catalonia. Educational Action Research, 27 (2), 210–226. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ehh&AN=135671904&site=eds-live

Bilican, K., Senler, B., & Karısan, D. (2021). Fostering teacher educators’ professional development through collaborative action research. International Journal of Progressive Education, 17 (2), 459–472. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ehh&AN=149828364&site=eds-live

Black, G. L. (2021). Implementing action research in a teacher preparation program: Opportunities and limitations. Canadian Journal of Action Research, 21 (2), 47–71. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ehh&AN=149682611&site=eds-live

Bozkuş, K., & Bayrak, C. (2019). The Application of the dynamic teacher professional development through experimental action research. International Electronic Journal of Elementary Education, 11 (4), 335–352. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ehh&AN=135580911&site=eds-live

Christ, T. W. (2018). Mixed methods action research in special education: An overview of a grant-funded model demonstration project. Research in the Schools, 25( 2), 77–88. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ehh&AN=135047248&site=eds-live

Jakhelln, R., & Pörn, M. (2019). Challenges in supporting and assessing bachelor’s theses based on action research in initial teacher education. Educational Action Research, 27 (5), 726–741. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ehh&AN=140234116&site=eds-live

Klima Ronen, I. (2020). Action research as a methodology for professional development in leading an educational process. Studies in Educational Evaluation, 64 . https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=edselp&AN=S0191491X19302159&site=eds-live

Messiou, K. (2019). Collaborative action research: facilitating inclusion in schools. Educational Action Research, 27 (2), 197–209. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ehh&AN=135671898&site=eds-live

Mitchell, D. E. (2018). Say it loud: An action research project examining the afrivisual and africology, Looking for alternative African American community college teaching strategies. Journal of Pan African Studies, 12 (4), 364–487. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ofs&AN=133155045&site=eds-live

Pentón Herrera, L. J. (2018). Action research as a tool for professional development in the K-12 ELT classroom. TESL Canada Journal, 35 (2), 128–139. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ofs&AN=135033158&site=eds-live

Rodriguez, R., Macias, R. L., Perez-Garcia, R., Landeros, G., & Martinez, A. (2018). Action research at the intersection of structural and family violence in an immigrant Latino community: a youth-led study. Journal of Family Violence, 33 (8), 587–596. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=132323375&site=eds-live

Vaughan, M., Boerum, C., & Whitehead, L. (2019). Action research in doctoral coursework: Perceptions of independent research experiences. International Journal for the Scholarship of Teaching and Learning, 13 . https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=edsdoj&AN=edsdoj.17aa0c2976c44a0991e69b2a7b4f321&site=eds-live

Sample Journals for Action Research

Educational Action Research

Canadian Journal of Action Research

Sample Resource Videos

Call-Cummings, M. (2017). Researching racism in schools using participatory action research [Video]. Sage Research Methods  http://proxy1.ncu.edu/login?URL=https://methods.sagepub.com/video/researching-racism-in-schools-using-participatory-action-research

Fine, M. (2016). Michelle Fine discusses community based participatory action research [Video]. Sage Knowledge. http://proxy1.ncu.edu/login?URL=https://sk-sagepub-com.proxy1.ncu.edu/video/michelle-fine-discusses-community-based-participatory-action-research

Getz, C., Yamamura, E., & Tillapaugh. (2017). Action Research in Education. [Video]. You Tube. https://www.youtube.com/watch?v=X2tso4klYu8

Bradbury, H. (Ed.). (2015). The handbook of action research (3rd edition). Sage.

Bradbury, H., Lewis, R. & Embury, D.C. (2019). Education action research: With and for the next generation. In C.A. Mertler (Ed.), The Wiley handbook of action research in education (1st edition). John Wiley and Sons. https://ebookcentral.proquest.com/lib/nu/reader.action?docID=5683581&ppg=205

Bourner, T., & Brook, C. (2019). Comparing and contrasting action research and action learning. In C.A. Mertler (Ed.), The Wiley handbook of action research in education (1st edition). John Wiley and Sons. https://ebookcentral.proquest.com/lib/nu/reader.action?docID=5683581&ppg=205

Bradbury, H. (2015). The Sage handbook of action research . Sage. https://www-doi-org.proxy1.ncu.edu/10.4135/9781473921290

Dosemagen, D.M. & Schwalback, E.M. (2019). Legitimacy of and value in action research. In C.A. Mertler (Ed.), The Wiley handbook of action research in education (1st edition). John Wiley and Sons. https://ebookcentral.proquest.com/lib/nu/reader.action?docID=5683581&ppg=205

Johnson, A. (2019). Action research for teacher professional development. In C.A. Mertler (Ed.), The Wiley handbook of action research in education (1st edition). John Wiley and Sons. https://ebookcentral.proquest.com/lib/nu/reader.action?docID=5683581&ppg=205

Lewin, K. (1946). Action research and minority problems. In G.W. Lewin (Ed.), Resolving social conflicts: Selected papers on group dynamics (compiled in 1948). Harper and Row.

Mertler, C. A. (Ed.). (2019). The Wiley handbook of action research in education. John Wiley and Sons. https://ebookcentral.proquest.com/lib/nu/detail.action?docID=5683581

• << Previous: Qualitative Narrative Inquiry Research
• Next: Case Study Design in an Applied Doctorate >>
• Last Updated: Jul 28, 2023 8:05 AM
• URL: https://resources.nu.edu/c.php?g=1013605

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, automatically generate references for free.

• Knowledge Base
• Methodology
• What Is Action Research? | Definition & Examples

What Is Action Research? | Definition & Examples

Published on 27 January 2023 by Tegan George . Revised on 21 April 2023.

Table of contents

Types of action research, action research models, examples of action research, action research vs. traditional research, advantages and disadvantages of action research, frequently asked questions about action research.

There are 2 common types of action research: participatory action research and practical action research.

• Participatory action research emphasises that participants should be members of the community being studied, empowering those directly affected by outcomes of said research. In this method, participants are effectively co-researchers, with their lived experiences considered formative to the research process.
• Practical action research focuses more on how research is conducted and is designed to address and solve specific issues.

Both types of action research are more focused on increasing the capacity and ability of future practitioners than contributing to a theoretical body of knowledge.

Prevent plagiarism, run a free check.

Action research is often reflected in 3 action research models: operational (sometimes called technical), collaboration, and critical reflection.

• Operational (or technical) action research is usually visualised like a spiral following a series of steps, such as “planning → acting → observing → reflecting.”
• Collaboration action research is more community-based, focused on building a network of similar individuals (e.g., college professors in a given geographic area) and compiling learnings from iterated feedback cycles.
• Critical reflection action research serves to contextualise systemic processes that are already ongoing (e.g., working retroactively to analyse existing school systems by questioning why certain practices were put into place and developed the way they did).

Action research is often used in fields like education because of its iterative and flexible style.

After the information was collected, the students were asked where they thought ramps or other accessibility measures would be best utilised, and the suggestions were sent to school administrators. Example: Practical action research Science teachers at your city’s high school have been witnessing a year-over-year decline in standardised test scores in chemistry. In seeking the source of this issue, they studied how concepts are taught in depth, focusing on the methods, tools, and approaches used by each teacher.

Action research differs sharply from other types of research in that it seeks to produce actionable processes over the course of the research rather than contributing to existing knowledge or drawing conclusions from datasets. In this way, action research is formative , not summative , and is conducted in an ongoing, iterative way.

As such, action research is different in purpose, context, and significance and is a good fit for those seeking to implement systemic change.

Action research comes with advantages and disadvantages.

• Action research is highly adaptable , allowing researchers to mould their analysis to their individual needs and implement practical individual-level changes.
• Action research provides an immediate and actionable path forward for solving entrenched issues, rather than suggesting complicated, longer-term solutions rooted in complex data.
• Done correctly, action research can be very empowering , informing social change and allowing participants to effect that change in ways meaningful to their communities.

Disadvantages

• Due to their flexibility, action research studies are plagued by very limited generalisability  and are very difficult to replicate . They are often not considered theoretically rigorous due to the power the researcher holds in drawing conclusions.
• Action research can be complicated to structure in an ethical manner . Participants may feel pressured to participate or to participate in a certain way.
• Action research is at high risk for research biases such as selection bias , social desirability bias , or other types of cognitive biases .

Action research is conducted in order to solve a particular issue immediately, while case studies are often conducted over a longer period of time and focus more on observing and analyzing a particular ongoing phenomenon.

Action research is focused on solving a problem or informing individual and community-based knowledge in a way that impacts teaching, learning, and other related processes. It is less focused on contributing theoretical input, instead producing actionable input.

Action research is particularly popular with educators as a form of systematic inquiry because it prioritizes reflection and bridges the gap between theory and practice. Educators are able to simultaneously investigate an issue as they solve it, and the method is very iterative and flexible.

A cycle of inquiry is another name for action research . It is usually visualized in a spiral shape following a series of steps, such as “planning → acting → observing → reflecting.”

Sources for this article

We strongly encourage students to use sources in their work. You can cite our article (APA Style) or take a deep dive into the articles below.

George, T. (2023, April 21). What Is Action Research? | Definition & Examples. Scribbr. Retrieved 6 May 2024, from https://www.scribbr.co.uk/research-methods/action-research-cycle/

Cohen, L., Manion, L., & Morrison, K. (2017). Research methods in education (8th edition). Routledge.

Naughton, G. M. (2001).  Action research (1st edition). Routledge.

Is this article helpful?

Tegan George

Other students also liked, primary research | definition, types, & examples, a quick guide to experimental design | 5 steps & examples, what is an observational study | guide & examples.

• Action Research: What it is, Stages & Examples

Introduction

Action research is an evidence-based approach that has been used for years in the field of education and social sciences. It is used to learn about both good practices and problems with existing practices, as well as being able to develop new strategies by investigating and analyzing data.

In this post, we will explore action research, its purpose, and its stages. Read on!

What Action Research Is

Action research is a methodology of inquiry in which the researcher takes a proactive role in generating knowledge. Action research focuses on learning and can be applied to any field of interest; it is also self-directed, meaning that it is not based on a model or definition but more on an action evaluation framework (Marten, 2000). 

An action research project is a cooperative effort between two or more people who are interested in trying new ways of doing things. The common factor between all of these activities is the intention to search for practical solutions for some problem that affects each individual. 

Typically, the problem stems from an aspect of society that is amenable to change, although no particular area or business is excluded from this concept. Action research consists of five key components: decision-making, data collection , and analysis, multiple works of literature view, results interpretation , and action development (Marten, 2003).

The goal of action research is to build a better product, service, or process by using the power of people working together. Although the goal is to learn things through this approach, it can be used by anyone from students who want to solve their own problems with technology, to employers teaching their employees new skills.

The Purposes of Conducting Action Research

• The purpose of action research is that it can help academics and learners to find solutions to their problems. To do this, they will know whether their solutions are effective through the scientific method which means that it is more reliable than common sense. It will also make them think harder about what they’re doing. 
• Action research can help improve the quality of life by making people aware of what they can do in everyday life.
• Action research is also used for commercial enterprises as it is an effective way to collect information that can help develop new products or services.

The Development of Action Research

Action research is an approach to problem-solving that involves the researcher and others in a process of planning, performing, and evaluating research . It incorporates the evaluation of products or services so that they can be optimized and further developed if necessary. There are four main stages involved in action research: identifying and gathering information, developing a research plan, implementing the plan, and collecting data . Once collected and analyzed, recommendations can be made for improvement within an organization or system.

What is Involved in Action Research

Action research is a research activity that is deliberately designed to achieve some specific practical results in relation to human action problems. Action research activities are characterized by their exploration of possible solutions, with a view toward actualizing these solutions.

Action research involves systematic engagement with the world to comprehend, understand and modify. It helps in learning about the system and the way it works so that you can use this information to help solve problems in your workplace or community.

The stages involved in action research are hypothesis formation, design, implementation, and assessment. A hypothesis is the statement that you are testing.

The Models and Definitions of Action Research

• Practical Action Research : Practical Action Research involves a practitioner working with the researcher to identify a research problem, propose an intervention, and design methods. It is important that the practitioner as well as the researcher clarify differently with each audience, which issues or problems they want to address and with what approach.
• Emancipatory Action Research : It involves working with people in order to solve a problem or meet a goal. Practitioners work together as a group and collectively identify problems and possible solutions. Solutions are as much political and consciousness-raising as practical.
• Technical Action Research: This involves the main researcher in the study identifying the action research problem and proposing an intervention. However, the practitioner will be involved in the implementation of any solutions or interventions.

The Key Characteristics of Action Research

Here are some of the key characteristics of action research.

• Action Research has a form of metacognition that involves the collection of data, through observation and analysis to identify phenomena, exchange ideas while forming hypotheses, and then using feedback to test those hypotheses. 
• It is a participative approach to learning based on experimental design. 
• Action research focuses on immediate action aiming at change in the organization, community, or individuals.
• The focus of action research is on personal/community development/characteristics so that one’s life can be enriching.
• Action Research leads to interventions that lead to change.
• It is also highly situation based and context-specific.

The Philosophical Worldview of The Action Researcher

Kurt Lewin’s 1946 Rigor of Science Study on Social Issues , is often described as a major landmark in the development of action research as a methodology. Action Research is nothing other than a modern 20th-century manifestation of the pre-modern tradition of practical philosophy.

The book goes on to examine how action research is nothing other than a modern 20th-century manifestation of the pre-modern tradition of practical philosophy. It then draws on Gadamer’s powerful vindication of the contemporary relevance of practical philosophy in order to show how. 

This it does, by embracing the idea of ‘methodology’, action research functions to sustain a distorted understanding of what practice is. In fact, it is worth noting that action research has always been connected with practical philosophy hence its importance in research works.

Examples of Action Research Projects.

Here are some examples of how action research is used in projects.

• Observing Individuals or Groups: Action research draws upon the prior knowledge of researchers, specialists, and communities gathered through individual experiences or through cooperative learning partnerships between experts and community members.
• Using Audio and Video Tape Recording:  Action research allows the use of audio and video tape recordings which are more accurate and easier to capture every information from the practitioner or user.
• Using structured or semi-structured interviews . Action research can be carried out by conducting interviews in any form.
• Using or Taking Photography: Another example of action research is taking photographs to back up or serve as pictorial evidence for your research project.
• Distributing Surveys or Questionnaires:  Another way to carry out action research is by distributing surveys and questionnaires to better understand your users and their behavior toward your focus topic or product.

The development of action research is a process that takes place over several stages, each of which builds on the preceding ones. In order to ensure that your action research project has a chance at success, you will need to plan ahead and take whatever steps possible to ensure that the project is completed on time and within budget.

Connect to Formplus, Get Started Now - It's Free!

• action research
• questionnaires
• science study
• survey questionnaire
• Olayemi Jemimah Aransiola

You may also like:

Market Research: Types, Methods & Survey Examples

A complete guide on market research; definitions, survey examples, templates, importance and tips.

What Are The Types of Research Hypothesis? + [Examples]

It is vital to fully understand a hypothesis to address the types of research hypotheses. A hypothesis explains an established or known...

Convenience Sampling: Definition, Applications, Examples

In this article, we’d look at why you should adopt convenience sampling in your research and how to reduce the effects of convenience...

The Guide to Deciding on the Best Time to Send a Survey

Introduction Have you been wondering when to send out surveys? We’re here to help, so let’s start by giving you a little background...

Formplus - For Seamless Data Collection

Collect data the right way with a versatile data collection tool. try formplus and transform your work productivity today..

Formulation of action hypothesis

• 1 FORMULATION OF ACTION HYPOTHESIS
• 2.1 WHAT IS A HYPOTHESIS?
• 3.1 CHARACTERISTICS OF A GOOD ACTION HYPOTHESIS
• 3.2 DIFFERENT FORMS FOR STATING ACTION HYPOTHESIS
• 3.3 FORMULATION OF AN ACTION HYPOTHESIS
• 3.4 Illustration of an action hypothesis in four different forms

FORMULATION OF ACTION HYPOTHESIS

This section helps you in understanding how to formulate an action hypothesis.

WHAT IS A HYPOTHESIS?

You might be wondering what an action hypothesis is?

The processes, an investigator may use to examine a problem in the field of education are similar to the ones we use to attack our day to day problems.

Look at the following example.

A teacher notices that one of her Students in the IV grade does not show progress in learning “addition of two digit numbers”. Careful observation of this child in the classroom may suggest several possible causes for this problem. This in turn will help the teacher think of suitable remedies.

Based on these possible causes the teacher states HYPOTHESES which are the guessed strategies for solving the problem. Then the teacher designs and carries out a programme aimed at testing each hypothesis and checking the child’s progress.

Without ‘guessing’ the possible causes the teacher can not plan any remedy for the problem.

Once the investigator diagnoses the causes of the pinpointed/specific problems, he/she starts thinking about what concrete action, if taken, would bring about the desired change/solution.

Then he/she formulates hypothesis specifying the immediate ‘actions’ that could be taken to solve the problems.

The hypotheses formulated in action research are called ACTION HYPOTHESES

CHARACTERISTICS OF A GOOD ACTION HYPOTHESIS

A good action hypothesis should be

• Logically related to the problem
• Testable in classrooms situations
• Clearly stated without ambiguity
• Directly stated in terms of the expected outcome (should not be a generalized statement)
• Testable within a considerably short time (maximum of three months)

DIFFERENT FORMS FOR STATING ACTION HYPOTHESIS

a) Declarative form: An action hypothesis may be formulated as a statement with a positive relationship between the two factors identified, one being the cause and the other being the effect. This is also called a directional hypothesis.

b) Predictive form: An action hypothesis clearly predicting the expected out come which would emerge after the action plan is implemented. This can be stated using ‘if and then’ statement.

c) Question form: Questions can be raised as action hypotheses as what would be the result of the intended action plan.

d) Null form: A null hypothesis states that no relationship exists between the factors considered in the problems. This form is mostly used when rigorous statistical techniques are to be used.(A thoroughly worked out example for all these forms is given in the next unit.) Thus, an action hypothesis provides clarity and direction to solve a problem. Hence it is considered an important stage in action research.

FORMULATION OF AN ACTION HYPOTHESIS

To form a hypothesis the investigator should

• Have a thorough knowledge about the problem
• Be clear about the desired goal (solution)
• Make a real effort to look at the problem in new ways other than the regular practices (come out form conventional thinking)
• Give importance for imagination and speculation
• Think of many alternative solutions.
• Thoroughly examine the conditions/contexts in which the problem exists and then
• State the hypothesis

Illustration of an action hypothesis in four different forms

Here is an illustration of an Action Hypothesis stated in different forms. Carefully observe the wordings, the format, relationship between the factors in each form of the hypothesis. Predictive form Declarative orDirectional Form QuestionForm Null Form If the III grade students receive a “drill work” in the chapter “Addition of whole numbers their progress will be better in Arithmetic. 1. Replace the word “Drill Work” as ‘Supervised study’ in all the forms. 2. Add after, addition of two digit (carrying) A “Drill work” program in the chapter addition of whole numbers for III grade students will cause/influence better progress in Arithmetic, Or Addition (whole number) drill work in and progress in Arithmetic are (positively) related to each other.OrThere is a (positive) relationship between ‘Drill work’ in Addition (whole Nos.) and progress in Arithmetic. To what extent a “Drill work” program in the chapter Addition (Whole numbers) for III grade students will improve their progress in Arithmetic.OrDoes a drill work program in ‘Addition (Whole Nos.) for III graders improve their progress in Arithmetic? If so, to what extent? A “Drill work” program in the chapter. ‘Addition for III grade students and their progress in Arithmetic are not related to each other.OrThere is no significant relationship between the ‘drill work’ program in the chapter addition and progress (whole No.) in Arithmetic among III grade students.

Activity Sheet on Formulation of action hypothesis

Navigation menu

Personal tools.

• Request account
• View source
• View history
• Recent changes
• Practice editing
• Community portal
• Mailing list

Print/export

• Create a book
• Download as PDF
• Printable version
• What links here
• Related changes
• Upload file
• Special pages
• Permanent link
• Page information
• This page was last modified on 8 May 2008, at 22:09.
• This page has been accessed 73,970 times.
• Content is available under the Creative Commons Attribution Share Alike License unless otherwise noted.
• Privacy policy
• About WikiEducator
• Disclaimers

Get science-backed answers as you write with Paperpal's Research feature

How to Write a Hypothesis? Types and Examples 

All research studies involve the use of the scientific method, which is a mathematical and experimental technique used to conduct experiments by developing and testing a hypothesis or a prediction about an outcome. Simply put, a hypothesis is a suggested solution to a problem. It includes elements that are expressed in terms of relationships with each other to explain a condition or an assumption that hasn’t been verified using facts. 1 The typical steps in a scientific method include developing such a hypothesis, testing it through various methods, and then modifying it based on the outcomes of the experiments.  

A research hypothesis can be defined as a specific, testable prediction about the anticipated results of a study. 2 Hypotheses help guide the research process and supplement the aim of the study. After several rounds of testing, hypotheses can help develop scientific theories. 3 Hypotheses are often written as if-then statements. 

Here are two hypothesis examples: 

Dandelions growing in nitrogen-rich soils for two weeks develop larger leaves than those in nitrogen-poor soils because nitrogen stimulates vegetative growth. 4  

If a company offers flexible work hours, then their employees will be happier at work. 5  

Table of Contents

• What is a hypothesis? 
• Types of hypotheses 
• Characteristics of a hypothesis 
• Functions of a hypothesis 
• How to write a hypothesis 
• Hypothesis examples 
• Frequently asked questions 

What is a hypothesis?

A hypothesis expresses an expected relationship between variables in a study and is developed before conducting any research. Hypotheses are not opinions but rather are expected relationships based on facts and observations. They help support scientific research and expand existing knowledge. An incorrectly formulated hypothesis can affect the entire experiment leading to errors in the results so it’s important to know how to formulate a hypothesis and develop it carefully.

A few sources of a hypothesis include observations from prior studies, current research and experiences, competitors, scientific theories, and general conditions that can influence people. Figure 1 depicts the different steps in a research design and shows where exactly in the process a hypothesis is developed. 4  

There are seven different types of hypotheses—simple, complex, directional, nondirectional, associative and causal, null, and alternative. 

Types of hypotheses

The seven types of hypotheses are listed below: 5 , 6,7  

• Simple : Predicts the relationship between a single dependent variable and a single independent variable. 

Example: Exercising in the morning every day will increase your productivity.  

• Complex : Predicts the relationship between two or more variables. 

Example: Spending three hours or more on social media daily will negatively affect children’s mental health and productivity, more than that of adults.  

• Directional : Specifies the expected direction to be followed and uses terms like increase, decrease, positive, negative, more, or less. 

Example: The inclusion of intervention X decreases infant mortality compared to the original treatment.  

• Non-directional : Does not predict the exact direction, nature, or magnitude of the relationship between two variables but rather states the existence of a relationship. This hypothesis may be used when there is no underlying theory or if findings contradict prior research. 

Example: Cats and dogs differ in the amount of affection they express.  

• Associative and causal : An associative hypothesis suggests an interdependency between variables, that is, how a change in one variable changes the other.  

Example: There is a positive association between physical activity levels and overall health.  

A causal hypothesis, on the other hand, expresses a cause-and-effect association between variables. 

Example: Long-term alcohol use causes liver damage.  

• Null : Claims that the original hypothesis is false by showing that there is no relationship between the variables. 

Example: Sleep duration does not have any effect on productivity.  

• Alternative : States the opposite of the null hypothesis, that is, a relationship exists between two variables. 

Example: Sleep duration affects productivity.  

Characteristics of a hypothesis

So, what makes a good hypothesis? Here are some important characteristics of a hypothesis. 8,9  

• Testable : You must be able to test the hypothesis using scientific methods to either accept or reject the prediction. 
• Falsifiable : It should be possible to collect data that reject rather than support the hypothesis. 
• Logical : Hypotheses shouldn’t be a random guess but rather should be based on previous theories, observations, prior research, and logical reasoning. 
• Positive : The hypothesis statement about the existence of an association should be positive, that is, it should not suggest that an association does not exist. Therefore, the language used and knowing how to phrase a hypothesis is very important. 
• Clear and accurate : The language used should be easily comprehensible and use correct terminology. 
• Relevant : The hypothesis should be relevant and specific to the research question. 
• Structure : Should include all the elements that make a good hypothesis: variables, relationship, and outcome. 

Functions of a hypothesis

The following list mentions some important functions of a hypothesis: 1  

• Maintains the direction and progress of the research. 
• Expresses the important assumptions underlying the proposition in a single statement. 
• Establishes a suitable context for researchers to begin their investigation and for readers who are referring to the final report. 
• Provides an explanation for the occurrence of a specific phenomenon. 
• Ensures selection of appropriate and accurate facts necessary and relevant to the research subject. 

To summarize, a hypothesis provides the conceptual elements that complete the known data, conceptual relationships that systematize unordered elements, and conceptual meanings and interpretations that explain the unknown phenomena. 1  

How to write a hypothesis

Listed below are the main steps explaining how to write a hypothesis. 2,4,5  

• Make an observation and identify variables : Observe the subject in question and try to recognize a pattern or a relationship between the variables involved. This step provides essential background information to begin your research.  

For example, if you notice that an office’s vending machine frequently runs out of a specific snack, you may predict that more people in the office choose that snack over another. 

• Identify the main research question : After identifying a subject and recognizing a pattern, the next step is to ask a question that your hypothesis will answer.  

For example, after observing employees’ break times at work, you could ask “why do more employees take breaks in the morning rather than in the afternoon?” 

• Conduct some preliminary research to ensure originality and novelty : Your initial answer, which is your hypothesis, to the question is based on some pre-existing information about the subject. However, to ensure that your hypothesis has not been asked before or that it has been asked but rejected by other researchers you would need to gather additional information.  

For example, based on your observations you might state a hypothesis that employees work more efficiently when the air conditioning in the office is set at a lower temperature. However, during your preliminary research you find that this hypothesis was proven incorrect by a prior study. 

• Develop a general statement : After your preliminary research has confirmed the originality of your proposed answer, draft a general statement that includes all variables, subjects, and predicted outcome. The statement could be if/then or declarative.  
• Finalize the hypothesis statement : Use the PICOT model, which clarifies how to word a hypothesis effectively, when finalizing the statement. This model lists the important components required to write a hypothesis. 

P opulation: The specific group or individual who is the main subject of the research 

I nterest: The main concern of the study/research question 

C omparison: The main alternative group 

O utcome: The expected results  

T ime: Duration of the experiment 

Once you’ve finalized your hypothesis statement you would need to conduct experiments to test whether the hypothesis is true or false. 

Hypothesis examples

The following table provides examples of different types of hypotheses. 10 ,11  

Key takeaways  

Here’s a summary of all the key points discussed in this article about how to write a hypothesis. 

• A hypothesis is an assumption about an association between variables made based on limited evidence, which should be tested. 
• A hypothesis has four parts—the research question, independent variable, dependent variable, and the proposed relationship between the variables.   
• The statement should be clear, concise, testable, logical, and falsifiable. 
• There are seven types of hypotheses—simple, complex, directional, non-directional, associative and causal, null, and alternative. 
• A hypothesis provides a focus and direction for the research to progress. 
• A hypothesis plays an important role in the scientific method by helping to create an appropriate experimental design. 

Frequently asked questions

Hypotheses and research questions have different objectives and structure. The following table lists some major differences between the two. 9  

Here are a few examples to differentiate between a research question and hypothesis. 

Yes, here’s a simple checklist to help you gauge the effectiveness of your hypothesis. 9   1. When writing a hypothesis statement, check if it:  2. Predicts the relationship between the stated variables and the expected outcome.  3. Uses simple and concise language and is not wordy.  4. Does not assume readers’ knowledge about the subject.  5. Has observable, falsifiable, and testable results. 

As mentioned earlier in this article, a hypothesis is an assumption or prediction about an association between variables based on observations and simple evidence. These statements are usually generic. Research objectives, on the other hand, are more specific and dictated by hypotheses. The same hypothesis can be tested using different methods and the research objectives could be different in each case.     For example, Louis Pasteur observed that food lasts longer at higher altitudes, reasoned that it could be because the air at higher altitudes is cleaner (with fewer or no germs), and tested the hypothesis by exposing food to air cleaned in the laboratory. 12 Thus, a hypothesis is predictive—if the reasoning is correct, X will lead to Y—and research objectives are developed to test these predictions. 

Null hypothesis testing is a method to decide between two assumptions or predictions between variables (null and alternative hypotheses) in a statistical relationship in a sample. The null hypothesis, denoted as H 0 , claims that no relationship exists between variables in a population and any relationship in the sample reflects a sampling error or occurrence by chance. The alternative hypothesis, denoted as H 1 , claims that there is a relationship in the population. In every study, researchers need to decide whether the relationship in a sample occurred by chance or reflects a relationship in the population. This is done by hypothesis testing using the following steps: 13   1. Assume that the null hypothesis is true.  2. Determine how likely the sample relationship would be if the null hypothesis were true. This probability is called the p value.  3. If the sample relationship would be extremely unlikely, reject the null hypothesis and accept the alternative hypothesis. If the relationship would not be unlikely, accept the null hypothesis. 

To summarize, researchers should know how to write a good hypothesis to ensure that their research progresses in the required direction. A hypothesis is a testable prediction about any behavior or relationship between variables, usually based on facts and observation, and states an expected outcome.  

We hope this article has provided you with essential insight into the different types of hypotheses and their functions so that you can use them appropriately in your next research project. 

References  

• Dalen, DVV. The function of hypotheses in research. Proquest website. Accessed April 8, 2024. https://www.proquest.com/docview/1437933010?pq-origsite=gscholar&fromopenview=true&sourcetype=Scholarly%20Journals&imgSeq=1  
• McLeod S. Research hypothesis in psychology: Types & examples. SimplyPsychology website. Updated December 13, 2023. Accessed April 9, 2024. https://www.simplypsychology.org/what-is-a-hypotheses.html  
• Scientific method. Britannica website. Updated March 14, 2024. Accessed April 9, 2024. https://www.britannica.com/science/scientific-method  
• The hypothesis in science writing. Accessed April 10, 2024. https://berks.psu.edu/sites/berks/files/campus/HypothesisHandout_Final.pdf  
• How to develop a hypothesis (with elements, types, and examples). Indeed.com website. Updated February 3, 2023. Accessed April 10, 2024. https://www.indeed.com/career-advice/career-development/how-to-write-a-hypothesis  
• Types of research hypotheses. Excelsior online writing lab. Accessed April 11, 2024. https://owl.excelsior.edu/research/research-hypotheses/types-of-research-hypotheses/  
• What is a research hypothesis: how to write it, types, and examples. Researcher.life website. Published February 8, 2023. Accessed April 11, 2024. https://researcher.life/blog/article/how-to-write-a-research-hypothesis-definition-types-examples/  
• Developing a hypothesis. Pressbooks website. Accessed April 12, 2024. https://opentext.wsu.edu/carriecuttler/chapter/developing-a-hypothesis/  
• What is and how to write a good hypothesis in research. Elsevier author services website. Accessed April 12, 2024. https://scientific-publishing.webshop.elsevier.com/manuscript-preparation/what-how-write-good-hypothesis-research/  
• How to write a great hypothesis. Verywellmind website. Updated March 12, 2023. Accessed April 13, 2024. https://www.verywellmind.com/what-is-a-hypothesis-2795239  
• 15 Hypothesis examples. Helpfulprofessor.com Published September 8, 2023. Accessed March 14, 2024. https://helpfulprofessor.com/hypothesis-examples/ 
• Editage insights. What is the interconnectivity between research objectives and hypothesis? Published February 24, 2021. Accessed April 13, 2024. https://www.editage.com/insights/what-is-the-interconnectivity-between-research-objectives-and-hypothesis  
• Understanding null hypothesis testing. BCCampus open publishing. Accessed April 16, 2024. https://opentextbc.ca/researchmethods/chapter/understanding-null-hypothesis-testing/#:~:text=In%20null%20hypothesis%20testing%2C%20this,said%20to%20be%20statistically%20significant  

Paperpal is a comprehensive AI writing toolkit that helps students and researchers achieve 2x the writing in half the time. It leverages 21+ years of STM experience and insights from millions of research articles to provide in-depth academic writing, language editing, and submission readiness support to help you write better, faster.  

Get accurate academic translations, rewriting support, grammar checks, vocabulary suggestions, and generative AI assistance that delivers human precision at machine speed. Try for free or upgrade to Paperpal Prime starting at US$19 a month to access premium features, including consistency, plagiarism, and 30+ submission readiness checks to help you succeed.  

Experience the future of academic writing – Sign up to Paperpal and start writing for free!  

Related Reads:

• Empirical Research: A Comprehensive Guide for Academics 
• How to Write a Scientific Paper in 10 Steps 
• What is a Literature Review? How to Write It (with Examples)
• What are Journal Guidelines on Using Generative AI Tools

Measuring Academic Success: Definition & Strategies for Excellence

What are scholarly sources and where can you find them , you may also like, 4 ways paperpal encourages responsible writing with ai, what are scholarly sources and where can you..., what is academic writing: tips for students, why traditional editorial process needs an upgrade, paperpal’s new ai research finder empowers authors to..., what is hedging in academic writing  , how to use ai to enhance your college..., ai + human expertise – a paradigm shift..., how to use paperpal to generate emails &....

Emergent Learning

Action Hypotheses

What are action hypotheses.

Action Hypotheses are a form of “if/then” hypothesis that we use in Emergent Learning. While scientific hypotheses propose an explanation of phenomena based on evidence from the past, action hypotheses look ahead to explain what we expect to happen as a result of future action. In both cases, the goal is to articulate something that is testable.

Action Hypotheses explore the thinking about a result we hope to accomplish (the “then”) and what we think it will take to get there (the “if”). This kind of hypothesis is so fundamental to our thinking every day that we couldn’t take action without it. It’s the smallest kernel of how we think. For example:

When and how do we use Hypotheses in Emergent Learning?

When people in an Emergent Learning culture say, “my hypothesis is…”, it is not to demonstrate authority by citing scientific language. Rather, they are communicating in shorthand that “I am making my thinking transparent to you and inviting you to inquire about it or offer an alternative.” It is intended to grow our collective thinking and agency.

EL practitioners learn to listen for hypotheses in conversations and ask questions to make sure we understand the thinking of our colleagues in a team or initiative. We use them to tease out the thinking implicit in Theories of Change. We read for them in narratives and use them to write stronger narratives. We use them to create more powerful connections between learning and evaluation by expressing hypotheses and planning how to test them out in our work over time, so that we track not just results but learn about and refine the thinking that got us there.

Hypotheses also play a starring role in Emergent Learning Tables. The whole aim is to collect all of our experience and data and make meaning of it in order to express our best possible thinking about what it will take to succeed going forward — expressed in the form of one or more Action Hypotheses.

Thinking of strategies or actions as “hypotheses” reminds us that what we thought was “true” or “right” might not be. Using this language invites us to remember that there is usually more than one path to consider and that maybe it’s OK to hold and test more than one hypothesis at a time — as long as we actually circle back and test them!