R2 effect-size measures for mediation analysis.

Amanda J Fairchild, David P Mackinnon, Marcia P Taborga, Aaron B Taylor
Author Information
  1. Amanda J Fairchild: University of South Carolina, Columbia, South Carolina 29208, USA. afairchi@mailbox.sc.edu

Abstract

R(2) effect-size measures are presented to assess variance accounted for in mediation models. The measures offer a means to evaluate both component paths and the overall mediated effect in mediation models. Statistical simulation results indicate acceptable bias across varying parameter and sample-size combinations. The measures are applied to a real-world example using data from a team-based health promotion program to improve the nutrition and exercise habits of firefighters. SAS and SPSS computer code are also provided for researchers to compute the measures in their own data.

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Grants

  1. R01 DA009757/NIDA NIH HHS
  2. R37 DA009757/NIDA NIH HHS
  3. DA09757/NIDA NIH HHS

MeSH Term

Algorithms
Behavioral Research
Health Promotion
Humans
Models, Statistical
Negotiating
Population

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