Test Yourself

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1. The main difference between an experiment and a quasi-experiment is that participants in quasi-experiments are not randomly assigned to condition.
2. In real life situations, randomized experiments will always have better internal validity than quasi-experiments.
3. Which of these factors cause participants to change?
4. Which of these factors may cause measurement errors that could be confused for a treatment effect?
5. Which of these factors could make comparing your treatment group to your no-treatment group as unfair as comparing apples against oranges?
6. Keeping the study brief might reduce the threat of
7. Matching would be most effective in reducing
8. The pretest-posttest design is more vulnerable to
9. The time-series is most vulnerable to
10. The two-group time-series design is more effective than the regular time-series design in terms of ruling out
11. The main difference between the nonequivalent control group design and a simple two group design is that the nonequivalent control group is much more vulnerable to
12. Matching on pretest scores
13. In quasi-experimental research, which of the following would be an example of using the law of parsimony?



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