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.
Original language | English (US) |
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Pages (from-to) | 547-582 |
Number of pages | 36 |
Journal | Journal of Experimental Education |
Volume | 83 |
Issue number | 4 |
DOIs | |
State | Published - Oct 2 2015 |
Externally published | Yes |
Keywords
- effect size
- experiment
- hierarchical linear modeling (HLM)
- intervention
- mediation
ASJC Scopus subject areas
- Education
- Developmental and Educational Psychology