1.Easy
Why should correlation not be taken as proof of causation?
- ACorrelations are never statistically significant
- BCorrelation coefficients are always too weak to indicate any real relationship
- CA third variable or reverse causation could explain the relationship
- DCorrelations can only be negative
2.Easy
On a questionnaire, an item like "Strongly agree, Agree, Neutral, Disagree, Strongly disagree" is called a:
- ASemantic differential
- BRating of reaction time
- COpen question
- DLikert scale
3.Easy
In a naturalistic observation, the researcher:
- AControls the environment in a laboratory
- BObserves behaviour in its usual setting without manipulating variables
- CAsks participants to complete a questionnaire about their everyday behaviour
- DRandomly assigns participants to conditions
4.Medium
In a repeated measures design, order effects can be controlled by:
- ACounterbalancing
- BRandom sampling
- CSingle-blind procedures
- DUsing a larger sample only
5.Medium
A p-value of 0.03 means:
- AThe effect is large
- BThe result will replicate 97% of the time
- CIf the null hypothesis were true, data this extreme would occur about 3% of the time
- DGiven the observed data, there is only a 3% probability that the null hypothesis is true
6.Medium
The same 25 participants complete a memory test before and after caffeine. The scores are interval and roughly normal. Which test is appropriate?
- AMann–Whitney U test
- BChi-square test
- CIndependent samples t-test
- DPaired (related) samples t-test
7.Hard
A study finds that students who sleep more have higher grades. Which design change would best allow a causal conclusion?
- ARandomly assign students to different sleep schedules
- BMeasure grades more accurately
- CSurvey more students
- DAsk students to report their sleep twice and average the two reports
8.Hard
Two observers record aggressive acts in a playground and their counts correlate at r = 0.45. What should the researcher do?
- AUse only the higher of the two counts
- BAccept the data because any positive correlation is enough
- CSwitch to a one-tailed hypothesis
- DRefine the behaviour categories and train observers, then recheck agreement
Answer key
- 1. C · A third variable or reverse causation could explain the relationship
- 2. D · Likert scale
- 3. B · Observes behaviour in its usual setting without manipulating variables
- 4. A · Counterbalancing
- 5. C · If the null hypothesis were true, data this extreme would occur about 3% of the time
- 6. D · Paired (related) samples t-test
- 7. A · Randomly assign students to different sleep schedules
- 8. D · Refine the behaviour categories and train observers, then recheck agreement
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