Hey friends,
If you work on a research proposal, dissertation, or journal article, you may have to clarify the following:
What exactly is my hypothesis?
Many confuse a hypothesis with a research question or a prediction
Some researchers write a research or problem statement that sounds very scientific but
then you realize it cannot be tested.
A research hypothesis is a clear statement you can test about what you expect to find in your study
It proposes a relationship between variables or it predicts a difference between groups
For example: PhD students who receive weekly supervisor feedback report higher research confidence than students who receive monthly feedback
We can already see the difference. This statement identifies what is being studied, which groups are being compared, and what relationship one expects to find
Of course a hypothesis is not a guess. It should be grounded in existing research, theory, or observations
However not every study needs a hypothesis
Quantitative studies that test relationships, differences, or effects often use hypotheses
And qualitative / exploratory studies may on the other hand use open research questions because their purpose is to understand experiences, meanings, or emerging themes
Do not force a hypothesis on your study that is designed to explore a phenomenon
To write a hypothesis, do the following:
Start with your research question, use your literature review to check what is known, and identify the relationship or difference you want to test
A research hypothesis should be specific, measurable and testable
Instead of writing, "AI improves research productivity"
Write something like
Researchers who use AI-assisted literature search tools complete a literature search task faster than researchers who use traditional search methods alone
Now we have variables you can measure and compare.
The main types of research hypotheses
Hypotheses can be classified in several ways.
Null hypothesis (H₀): There is no relationship or difference between the variables being tested
Alternative hypothesis (H₁ or Hₐ): A relationship or difference exists
Directional hypothesis: Predicts the direction of the relationship or difference, such as higher, lower, or faster
Non-directional hypothesis: Predicts a relationship or difference but does not specify its direction
Simple hypothesis: Examines the relationship between one independent variable and one dependent variable.
Complex hypothesis: Examines relationships involving multiple independent variables, dependent variables, or both
Of course a hypothesis can be of several types, for instance both directional and complex
Very often you will hear about null hypothesis vs alternative hypothesis
Imagine you want to test whether weekly supervisor meetings improve PhD students' confidence
Your null hypothesis can be something like: There is no difference in research confidence between PhD students who have weekly supervisor meetings and those who do not.
Your alternative hypothesis can be: There is a difference in research confidence between the two groups.
Now the common confusion: Hypothesis vs prediction vs research question
All these terms are related, but they are not the same
A research question asks what you want to investigate: Is supervisor meeting frequency associated with research confidence?
See my previous post Research Question vs. Hypothesis
A hypothesis proposes an answer you can test: More frequent supervisor meetings are associated with higher research confidence
A prediction describes an expected observation or result: Students in the weekly-meeting group will report higher average confidence scores
In other words: the research question is what you want to know, the hypothesis is your proposed explanation/relationship, and the prediction is what you expect to observe
A good hypothesis should be more than a broad statement of intent. Avoid hypotheses that are vague, impossible to measure, or too broad to test in one study
The more specific the better
Don't confuse correlation with causation. If your study is observational, a relationship between two variables does not necessarily mean one causes the other
Last but not least: don't write your hypothesis after seeing the results and present it as if you predicted them in advance 🙂
A hypothesis is there to guide a study, not simply explain what happened afterward
A quick checklist about your hypothesis
Is it clear and specific?
Is it based on theory, prior research, or relevant observations?
Can I test it using my research design and available data?
Have I identified the variables or groups involved?
Does it match my research question and methodology?
Remember, a hypothesis is just there to make your expectations explicit and put them to the test, not to prove that you’re right (or wrong)
Good research doesn't begin with knowing the answer. It begins with asking a question you can investigate properly.
Let me know what you think and let’s continue the conversation in our community
See you next week,
Jamal
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