A psychological investigation begins with a clear, testable hypothesis. There are two main types:
- Null hypothesis (H₀): there is no difference / no relationship between conditions. ("There will be no difference in recall between participants who study music and those who study in silence.")
- Alternative hypothesis (H₁): there is a difference / a relationship. The alternative can be directional ("music will reduce recall") or non-directional ("music will affect recall in either direction"). Use directional when prior research justifies it; non-directional when not.
Operationalisation
Both variables must be operationalised — defined precisely enough to be measured. Vague: "music affects revision". Operationalised: "playing instrumental music at 60 dB during a 10-minute revision period reduces the number of correctly recalled facts on a 20-item test."
Independent variable (IV)
The variable the experimenter manipulates. In the example above, IV = presence/absence of music (or three levels: silence / instrumental / lyrics).
Dependent variable (DV)
The variable the experimenter measures. Here, DV = number of correct items recalled.
Co-variables
In correlational research there is no IV/DV; the two variables are co-variables because neither is manipulated. Hypothesis form: "There will be a positive correlation between hours of revision per week and exam performance."
⚠Common mistakes— Common errors
- Writing "the IV affects the DV" without specifying the direction or operationalisation.
- Confusing the IV with conditions: the IV is what changes; conditions are how many levels of it.
- Mixing up null and alternative hypotheses.
➜Try this— Quick checklist for a strong hypothesis
- Names IV and DV.
- Operationalises both.
- States direction (or "no difference") clearly.
- Refers to a population, not just "people".
AI-generated · claude-opus-4-7 · v3-deep-psychology