Exam 9: Internal Validity
Exam 1: Psychology, Science, and You37 Questions
Exam 2: Ethics and Validity26 Questions
Exam 3: Generating Research Hypotheses45 Questions
Exam 4: Reading and Evaluating Research42 Questions
Exam 5: Measuring and Manipulating Variables: Reliability and Validity64 Questions
Exam 6: Choosing the Best Measure for Your Study53 Questions
Exam 7: Introduction to Descriptive Methods64 Questions
Exam 8: Survey Research47 Questions
Exam 9: Internal Validity53 Questions
Exam 10: The Simple Experiment71 Questions
Exam 11: Expanding the Simple Experiment: The Multiple Group Experiment57 Questions
Exam 12: Expanding the Simple Experiment: Factorial Designs52 Questions
Exam 13: Within-Subjects Designs48 Questions
Exam 14: Single-N Experiments and Quasi-Experiments59 Questions
Exam 15: Writing Research Proposals and Reports45 Questions
Exam 16: Appendix E: Using Theory to Generate Research Hypotheses50 Questions
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Explain why matching is not a perfect way of making two groups equal.
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If you don't realize that scores may be affected by random error, you may fail to detect ____ effects.
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Participants who scored very low on a test, will tend to score ____ on the retest:
(Multiple Choice)
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Why might participants' scores change between pretest and posttest?
(Multiple Choice)
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The fact that participants are not matched on every single variable makes matching most vulnerable to:
(Multiple Choice)
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Give an example of regression affecting the results of a two group study. Then, give an example of regression affecting the results of a pretest/posttest study.
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The pretest-posttest design is an imperfect substitute for random assignment to condition.
(True/False)
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Shortly after seeing a quack, several people have recovered from an illness, regaining their former health. The best explanation for their recovery is
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Matching is the best way of making sure that your groups are equivalent before the treatment is administered.
(True/False)
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When trying to establish that a treatment causes an effect, researchers ALWAYS try to
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List, define, and give an example of each of Campbell and Stanley's threats to validity.
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In order to be confident that your treatment caused an observed effect, you must establish that the study has internal validity.
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