Exam 13: Quasi-Experimental Designs
Exam 1: Research in the Behavioral Sciences46 Questions
Exam 2: Behavioral Variability and Research32 Questions
Exam 3: The Measurement of Behavior55 Questions
Exam 4: Approaches to Psychological Measurement48 Questions
Exam 5: Selecting Research Participants41 Questions
Exam 6: Descriptive Research43 Questions
Exam 7: Correlational Research38 Questions
Exam 8: Advanced Correlational Strategies29 Questions
Exam 9: Basic Issues in Experimental Research48 Questions
Exam 10: Experimental Design38 Questions
Exam 11: Analyzing Experimental Data: Basic Concepts33 Questions
Exam 12: Statistical Analysis39 Questions
Exam 13: Quasi-Experimental Designs40 Questions
Exam 14: Single-Case Research34 Questions
Exam 15: Ethical Issues in Behavioral Research36 Questions
Exam 16: Scientific Writing32 Questions
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Which of the following threats to internal validity is present in a one-group pretest-posttest design?
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What are pre-experimental designs, and why should they never be used?
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Which of the following confounds is most likely in research that studies children over time?
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The perspective that argues that researchers should rely on many diverse ways of obtaining evidence in a study is
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If quasi-experimental designs are usually not as internally valid as experiments, why do researchers use them?
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When participants are selected for a pretest-posttest design because they have extremely low or extremely high scores on the dependent variable, researchers must be on the lookout for
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How do quasi-experimental designs differ from true experimental designs?
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A researcher is studying the effects of sunspot activity on human emotions. In this study, sunspot activity is the
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What are the primary threats to internal validity when a nonequivalent control group pretest-posttest design is used?
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In a nonequivalent control group pretest-posttest design, the greatest threat to internal validity is
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When researchers want to distinguish age differences from cohort differences, they use
(Multiple Choice)
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Why do researchers often need to "patch up" quasi-experimental designs?
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Adding a nonequivalent control group to an interrupted time series design
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Unlike an independent variable, a quasi-independent variable
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Quasi-experimental designs differ from experimental designs in which of the following ways?
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