Standardized effect size measures for mediation analysis in cluster-randomized trials

Laura M. Stapleton, Keenan A. Pituch, Eric Dion

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


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 languageEnglish (US)
Pages (from-to)547-582
Number of pages36
JournalJournal of Experimental Education
Issue number4
StatePublished - Oct 2 2015
Externally publishedYes


  • effect size
  • experiment
  • hierarchical linear modeling (HLM)
  • intervention
  • mediation

ASJC Scopus subject areas

  • Education
  • Developmental and Educational Psychology


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