1.Easy
The null hypothesis usually states that:
- AThe results are significant
- BThe researcher's prediction is correct
- CThe sample is biased
- DThere is no effect or no difference
2.Easy
Social desirability bias in questionnaires means that respondents:
- AAnswer in ways that make them look good
- BAlways agree with every statement
- CChoose answers at random
- DRefuse to answer sensitive questions
3.Easy
A small-scale trial run of a study before the main research is called:
- AA meta-analysis
- BA field experiment
- CA pilot study
- DA replication
4.Medium
A researcher wants to test whether there is an association between gender (male/female) and preferred film genre (four categories). Which test is appropriate?
- APearson's correlation
- BOne-way ANOVA
- CChi-square test of independence
- DPaired t-test
5.Medium
Which kind of data is collected with an open question in an interview?
- AQualitative data
- BInterval data
- CNominal quantitative data only
- DRatio data
6.Medium
A 95% confidence interval for a mean of 50 is 46 to 54. What is the most accurate interpretation?
- A95% of the individual participants in the sample scored between 46 and 54 on the measure
- BThe result is not significant
- CThere is a 95% chance the sample mean is 50
- DThe procedure used produces intervals that contain the true mean 95% of the time
7.Hard
A researcher compares three or more group means. Why is a one-way ANOVA used instead of several t-tests?
- AMultiple t-tests inflate the overall Type I error rate
- Bt-tests cannot handle numbers above 100
- CANOVA always finds larger effects than the equivalent set of t-tests would
- Dt-tests need qualitative data
8.Hard
Interpretative phenomenological analysis (IPA) mainly aims to:
- AExplore how individuals make sense of their own lived experiences
- BMeasure reaction times accurately
- CCount the frequency of words in texts
- DTest causal hypotheses with large samples
Answer key
- 1. D · There is no effect or no difference
- 2. A · Answer in ways that make them look good
- 3. C · A pilot study
- 4. C · Chi-square test of independence
- 5. A · Qualitative data
- 6. D · The procedure used produces intervals that contain the true mean 95% of the time
- 7. A · Multiple t-tests inflate the overall Type I error rate
- 8. A · Explore how individuals make sense of their own lived experiences
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