1.Easy
Why should correlation not be taken as proof of causation?
- ACorrelations are never statistically significant
- BCorrelations can only be negative
- CA third variable or reverse causation could explain the relationship
- DCorrelation coefficients are always too weak to indicate any real relationship
2.Easy
A Type II error occurs when a researcher:
- AUses the wrong statistical test
- BRejects a null hypothesis that is actually true, finding an effect that is not there
- CMeasures the wrong dependent variable
- DFails to reject a null hypothesis that is actually false
3.Easy
Test-retest reliability is assessed by:
- AHaving two observers code the same behaviour
- BComparing a new test with an established one
- CChecking whether the items appear, on the surface, to measure what the test claims to
- DGiving the same test to the same people on two occasions and correlating the scores
4.Medium
In a repeated measures design, order effects can be controlled by:
- ACounterbalancing
- BUsing a larger sample only
- CSingle-blind procedures
- DRandom sampling
5.Medium
A 95% confidence interval for a mean of 50 is 46 to 54. What is the most accurate interpretation?
- AThe result is not significant
- BThe procedure used produces intervals that contain the true mean 95% of the time
- CThere is a 95% chance the sample mean is 50
- D95% of the individual participants in the sample scored between 46 and 54 on the measure
6.Medium
A test is so easy that almost all participants score near the maximum. This is called:
- AA ceiling effect
- BA floor effect
- CA practice effect
- DAn order effect
7.Hard
A study reports t(28) = 2.50, p = .018 for two independent groups of equal size. How many participants took part?
- A30
- B28
- C29
- D56
8.Hard
A researcher conducts five t-tests and wants to keep the overall Type I error rate at 0.05 using the Bonferroni correction. What significance level should each test use?
- A0.025
- B0.05
- C0.01
- D0.25
Answer key
- 1. C · A third variable or reverse causation could explain the relationship
- 2. D · Fails to reject a null hypothesis that is actually false
- 3. D · Giving the same test to the same people on two occasions and correlating the scores
- 4. A · Counterbalancing
- 5. B · The procedure used produces intervals that contain the true mean 95% of the time
- 6. A · A ceiling effect
- 7. A · 30
- 8. C · 0.01
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