Abstract
Eight models that can be used to analyze data from a pretest-posttest design are discussed. Artificial data are used to demonstrate that comparisons among some of the models generate results identical to those obtained by using repeated measures ANOVA. Such results are shown to be potentially misleading. Repeated measures ANOVA is not recommended with pretest-posttest data.
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