When using a mixed ANOVA approach to analyze a pretest-posttest design, the interaction effect is the most meaningful information.

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The interaction effect in a mixed ANOVA approach to analyze a pretest-posttest design is the most meaningful information because it indicates whether the treatment had a different effect on the dependent variable across different time points or conditions. This helps to determine whether the treatment was effective overall, and whether any changes in the dependent variable were due to the treatment rather than other factors such as time or individual differences.

When Using a Mixed ANOVA Approach to Analyze a Pretest-Posttest