Standardized Effect Size Measures for Mediation Analysis in Cluster-Randomized Trials |
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| Authors: | Laura M Stapleton Keenan A Pituch Eric Dion |
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| Institution: | 1. University of Maryland, College Park;2. University of Texas at Austin;3. Université du Québec à Montréal, Canada |
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| Abstract: | This article presents 3 standardized effect size measures to use when sharing results of an analysis of mediation of treatment effects for cluster-randomized trials. The authors discuss 3 examples of mediation analysis (upper-level mediation, cross-level mediation, and cross-level mediation with a contextual effect) with demonstration of the calculation and interpretation of the effect size measures using a simulated dataset and an empirical dataset from a cluster-randomized trial of peer tutoring. SAS syntax is provided for parametric percentile bootstrapped confidence intervals of the effect sizes. The use of any of the 3 standardized effect size measures depends on the nature of the inference the researcher wishes to make within a single site, across the broad population, or at the site level. |
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| Keywords: | effect size experiment hierarchical linear modeling (HLM) intervention mediation |
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