1.Easy
A hypothesis that predicts the direction of an effect is called:
- AAn operational hypothesis
- BDirectional (one-tailed)
- CNon-directional (two-tailed)
- DA null hypothesis
2.Easy
A small-scale trial run of a study before the main research is called:
- AA field experiment
- BA pilot study
- CA meta-analysis
- DA replication
3.Easy
Which sampling method selects people who happen to be available at the time, such as students in a canteen?
- ASystematic sampling
- BRandom sampling
- CStratified sampling
- DOpportunity sampling
4.Medium
In a normal distribution, approximately what percentage of scores lie within one standard deviation of the mean?
- A95%
- B68%
- C99.7%
- D50%
5.Medium
Standardised instructions are used in an experiment so that:
- AAll participants receive the same information in the same way
- BParticipants can choose their own conditions
- CThe results become statistically significant
- DThe researcher can adapt the procedure to suit each participant's needs
6.Medium
To obtain a sample with the same proportions of first-, second- and third-year students as the university population, a researcher should use:
- AVolunteer sampling
- BStratified sampling
- COpportunity sampling
- DSnowball sampling
7.Hard
Effect size measures such as Cohen's d are reported because they:
- ATell how many participants dropped out
- BReplace the need for any hypothesis
- CShow whether the result is statistically significant at the chosen alpha level
- DShow how large an effect is, regardless of sample size
8.Hard
A researcher compares three or more group means. Why is a one-way ANOVA used instead of several t-tests?
- AANOVA always finds larger effects than the equivalent set of t-tests would
- BMultiple t-tests inflate the overall Type I error rate
- Ct-tests need qualitative data
- Dt-tests cannot handle numbers above 100
Answer key
- 1. B · Directional (one-tailed)
- 2. B · A pilot study
- 3. D · Opportunity sampling
- 4. B · 68%
- 5. A · All participants receive the same information in the same way
- 6. B · Stratified sampling
- 7. D · Show how large an effect is, regardless of sample size
- 8. B · Multiple t-tests inflate the overall Type I error rate
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