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G89.2247 Lecture 5

This lecture focuses on the application of a mixed effects model for analyzing repeated measures data, treating clusters as random effects. We discuss the importance of calculating the intraclass correlation and employing the PROC MIXED approach in statistical software. Additionally, we highlight a critical mistake uncovered during data preparation—namely, discrepancies in measurement scales between groups (POMS on a 1-5 scale vs. Bar Exam Group on a 0-4 scale), emphasizing the necessity of diligent data checking prior to analysis.

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G89.2247 Lecture 5

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    1. G89.2247 Lecture 5 1 G89.2247 Lecture 5 Example fixed Repeated measures as clustered data Clusters as random effects Intraclass correlation ANOVA approach PROC MIXED Approach

    2. G89.2247 Lecture 5 2 Whoops! A Mistake Fixed Checking data is important Preparing charts for today alerted us to the fact that POMS in the Comparison Group was on a 1-5 scale, while the Bar Exam Group was 0-4.

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