1.Easy
In research ethics, debriefing means:
- AAsking participants for informed consent before the study begins and explaining the procedure
- BRemoving names from the data
- CExplaining the true aims of the study to participants after they take part
- DPaying participants for their time
2.Easy
Which measure of central tendency is most affected by extreme values?
- AThe mean
- BAll are equally affected
- CThe median
- DThe mode
3.Easy
The null hypothesis usually states that:
- AThe sample is biased
- BThe results are significant
- CThe researcher's prediction is correct
- DThere is no effect or no difference
4.Medium
A p-value of 0.03 means:
- AThe effect is large
- BGiven the observed data, there is only a 3% probability that the null hypothesis is true
- CIf the null hypothesis were true, data this extreme would occur about 3% of the time
- DThe result will replicate 97% of the time
5.Medium
The standard error of the mean becomes smaller when:
- AThe variable is measured at ordinal level
- BThe mean increases
- CThe sample size increases
- DThe sample size decreases
6.Medium
A researcher sends a questionnaire to all students and then asks respondents to recruit friends who also use a rare sleep app. Which sampling method is used for the second step?
- ASystematic sampling
- BStratified sampling
- CSnowball sampling
- DRandom sampling
7.Hard
In grounded theory, data collection continues until:
- ATheoretical saturation is reached and new data add no new categories
- BThe original hypothesis is confirmed
- CAt least 1,000 participants have been interviewed
- DA p-value below 0.05 is obtained
8.Hard
A researcher manipulates mood by showing a sad film, then asks participants to rate how sad they feel before the main task. Why is this rating included?
- AAs a manipulation check to confirm the IV worked as intended
- BAs the main dependent variable of the study
- CTo debrief participants about the aims
- DTo counterbalance the order of conditions
Answer key
- 1. C · Explaining the true aims of the study to participants after they take part
- 2. A · The mean
- 3. D · There is no effect or no difference
- 4. C · If the null hypothesis were true, data this extreme would occur about 3% of the time
- 5. C · The sample size increases
- 6. C · Snowball sampling
- 7. A · Theoretical saturation is reached and new data add no new categories
- 8. A · As a manipulation check to confirm the IV worked as intended
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