Statistical properties of four effect-size measures for mediation models

M. Miočević, Holly O'Rourke, David MacKinnon, Hendricks Brown

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

This project examined the performance of classical and Bayesian estimators of four effect size measures for the indirect effect in a single-mediator model and a two-mediator model. Compared to the proportion and ratio mediation effect sizes, standardized mediation effect-size measures were relatively unbiased and efficient in the single-mediator model and the two-mediator model. Percentile and bias-corrected bootstrap interval estimates of ab/s Y , and ab(s X )/s Y in the single-mediator model outperformed interval estimates of the proportion and ratio effect sizes in terms of power, Type I error rate, coverage, imbalance, and interval width. For the two-mediator model, standardized effect-size measures were superior to the proportion and ratio effect-size measures. Furthermore, it was found that Bayesian point and interval summaries of posterior distributions of standardized effect-size measures reduced excessive relative bias for certain parameter combinations. The standardized effect-size measures are the best effect-size measures for quantifying mediated effects.

Original languageEnglish
Pages (from-to)285-301
JournalBehavior Research Methods
Volume50
Issue number1
DOIs
Publication statusPublished - Feb 2018

Keywords

  • Mediation
  • Effect sizes
  • Bias
  • Efficiency
  • Interval estimates
  • Bayesian methods

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