1.Easy
In an experiment, the variable the researcher deliberately changes is the:
- ADependent variable
- BIndependent variable
- CExtraneous variable
- DConfounding variable
2.Easy
Which measure of central tendency is most affected by extreme values?
- AThe mode
- BThe median
- CAll are equally affected
- DThe mean
3.Easy
Reliability refers to:
- AWhether results apply to other settings
- BThe consistency of a measure
- CWhether a measure tests what it claims to
- DWhether participants gave consent
4.Medium
Split-half reliability involves:
- ATesting two halves of the sample at different times
- BSplitting the sample into an experimental and a control group and comparing their scores
- CComparing scores on two halves of the same test to check internal consistency
- DUsing two observers for half the sessions each
5.Medium
Experimenter bias is reduced most directly by:
- AUsing a larger sample
- BUsing only volunteers
- CUsing a researcher who does not know the hypothesis or conditions to collect data
- DUsing a one-tailed hypothesis
6.Medium
In a content analysis, inter-rater reliability is checked by:
- ACoding the material twice in one day
- BHaving two researchers code the same material and comparing results
- CUsing a larger sample of materials
- DAsking participants afterwards whether the researcher's coding of their material is correct
7.Hard
Which non-parametric test compares two related samples, such as before-and-after scores on an ordinal scale?
- AMann–Whitney U test
- BWilcoxon signed-rank test
- CChi-square test of independence
- DIndependent t-test
8.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 need qualitative data
- Ct-tests cannot handle numbers above 100
- DANOVA always finds larger effects than the equivalent set of t-tests would
Answer key
- 1. B · Independent variable
- 2. D · The mean
- 3. B · The consistency of a measure
- 4. C · Comparing scores on two halves of the same test to check internal consistency
- 5. C · Using a researcher who does not know the hypothesis or conditions to collect data
- 6. B · Having two researchers code the same material and comparing results
- 7. B · Wilcoxon signed-rank test
- 8. A · Multiple t-tests inflate the overall Type I error rate
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