Measures of Effect Size for Multilevel Models

Effect size reporting is crucial for the interpretation of applied research results and for conducting meta-analysis. However, clear guidelines for reporting effect size in multilevel models may be difficult to discern. This talk covers and demonstrates appropriate effect size measures including the ICC for random effects and standardized regression coefficients or f² for fixed effects. Following this, complexities associated with reporting R² as an effect size measure are explored, as well as appropriate effect size measures for more complex models including the three-level model and the random slopes model. An example using TIMSS data, as well as another providing data from a local project is covered.  This talk will additionally include a discussion of effect size measures and applications of the topic as well as Q&A.

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https://msu.zoom.us/j/91737596964