Hypothesis Templates (Examples for Psychology Students)

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Writing a hypothesis sounds simple… until you actually have to do it.

If you’ve ever sat there wondering “wait… how do I phrase this properly?”, you’re not alone. Hypotheses are one of those things that seem obvious in lectures but get weirdly confusing when you have to write them yourself.

This post gives you clear, copy-pasteable hypothesis templates you can actually use for your psychology reports.

What is a Hypothesis?

A hypothesis is a testable prediction about the relationship between variables.

  • Alternative hypothesis (H₁): what you expect to happen
  • Null hypothesis (H₀): no effect or no relationship

Basic Formula:

The [independent variable] will affect the [dependent variable] in [participants]

or

There will be a relationship between [Variable 1] and [Variable 2]

Experimental Hypothesis Templates

Directional (most common)

Participants in the [condition] will have higher/lower [DV] than those in the [comparison condition]

Example:

Participants exposed to social exclusion will report higher aggression scores than those in the inclusion condition.

Non-directional

There will be a difference in [DV] between participants in the [condition A] and [condition B]

Null Hypothesis

There will be no significant difference in [DV] between participants in [condition A] and [condition B]

Correlational Hypothesis Templates

Alternative

There will be a significant relationship between [Variable 1] and [Variable 2]

Directional version

There will be a positive/negative relationship between [Variable 1] and [Variable 2]

Null

There will be no significant relationship between [Variable 1] and [Variable 2]

Regression Hypothesis Templates

Prediction

[Predictor variable] will significantly predict [outcome variable]

Example:

Study time will significantly predict exam performance.

Null

[Predictor variable] will not significantly predict [outcome variable]

Quick Copy-Paste Templates

  • Directional Experimental: Participants in [A] will have higher/lower [DV] than [B]
  • Non-directional Experimental: There will be a difference in [DV] between [A] and [B]
  • Correlational: There will be a relationship between [X] and [Y]
  • Regression: [X] will predict [Y]
  • Null: There will be no significant effect or relationship between [variables]

Common Mistakes

  • Being too vague (e.g. “it will affect behaviour”)
  • Not clearly naming variables
  • Forgetting comparison groups
  • Writing a hypothesis that isn’t testable

Once you understand the structure, writing hypotheses becomes way less intimidating.

You’re not trying to sound smart, you’re just being clear and precise.

Save these templates somewhere. Future-you (probably mid-assignment panic) will thank you.

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