1.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
- CFails to reject a null hypothesis that is actually false
- DMeasures the wrong dependent variable
2.Easy
In an experiment, the variable the researcher deliberately changes is the:
- AConfounding variable
- BIndependent variable
- CExtraneous variable
- DDependent variable
3.Easy
Informed consent in research means participants:
- AMust complete the study once they start, as agreed in the signed form
- BNever learn the aims of the study
- CAgree to take part after being told what the study involves
- DAre paid for their time
4.Medium
A p-value of 0.03 means:
- AThe result will replicate 97% of the time
- BIf the null hypothesis were true, data this extreme would occur about 3% of the time
- CGiven the observed data, there is only a 3% probability that the null hypothesis is true
- DThe effect is large
5.Medium
In a repeated measures design, order effects can be controlled by:
- ACounterbalancing
- BUsing a larger sample only
- CSingle-blind procedures
- DRandom sampling
6.Medium
A test is so easy that almost all participants score near the maximum. This is called:
- AAn order effect
- BA floor effect
- CA practice effect
- DA ceiling effect
7.Hard
In multiple regression predicting exam scores from study hours and sleep, R² = 0.36. What does this mean?
- AStudy hours cause 36% of exam success
- B36% of students passed the exam
- CThe correlation between the predictors is 0.36
- DThe predictors together explain 36% of the variance in exam scores
8.Hard
A self-report scale finds that people who agree with many statements score high regardless of content. Which response bias is this, and how can it be reduced?
- AAcquiescence bias; include reverse-worded items
- BOrder effects; use counterbalancing of participants
- CSocial desirability bias; use a larger sample
- DDemand characteristics; use a double-blind design
Answer key
- 1. C · Fails to reject a null hypothesis that is actually false
- 2. B · Independent variable
- 3. C · Agree to take part after being told what the study involves
- 4. B · If the null hypothesis were true, data this extreme would occur about 3% of the time
- 5. A · Counterbalancing
- 6. D · A ceiling effect
- 7. D · The predictors together explain 36% of the variance in exam scores
- 8. A · Acquiescence bias; include reverse-worded items
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