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QUASI-EXPERIMENTS. What is a Quasi-Experiment?. Compare subjects in different conditions on a DV Lacks one or more criteria for an experiment (cause, comparison, control) Interpreted like a correlational study . Why Do Quasi-Experiments?.
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What is a Quasi-Experiment? • Compare subjects in different conditions on a DV • Lacks one or more criteria for an experiment (cause, comparison, control) • Interpreted like a correlational study
Why Do Quasi-Experiments? • Internal validity is a problem because the IV is not manipulated • It may not be possible or ethical to manipulate the IV
What is an Ex Post Facto Design? • Compare groups that differ on a pre-existing variable (subject variable) • Examples: • gender • personality • presence of mental disorder
What is a Single-Group Posttest Only Design? • Scores are measured after a treatment for one group • The treatment is not manipulated, and there is no comparison
What is a Single-Group Pretest-Posttest Design? • Scores are measured before and after an event or treatment • The treatment is not manipulated
What is a Non-Equivalent Control Group Pretest/Posttest Design? • Compare a treatment group and a control group before and after the treatment • The groups are not randomly assigned
What is a Single-Group Time Series Design? • Scores are measured several times before and after an event or treatment • Better than Pretest-Posttest design, because you can tell whether the change is likely to be due to a random fluctuation
What is a Multiple-Group Time Series Design? • Scores for a treatment and control group are measured several times before and after • The control group is not randomly assigned • Combination of Nonequivalent Control Group and Interrupted Time Series
What is a Cross-Sectional Design? • Compare different age groups at one point in time • The groups may differ on other variables, since age is not manipulated • cohort effects - generational history differences
What is a Longitudinal Design? • Measure the same group at different ages • Time-consuming • Attrition can be a problem
What is a Sequential or Cohort Design? • Compare different age groups at different ages • Combination of longitudinal and cross-sectional
How Are Quasi-Experiments Analyzed? • Choose from the same set of statistics used for experiments • Remember that you interpret differences like the study was correlational • Take into account number of conditions and whether variables are between or within subjects