Mlmed: An Spss Macro for Multilevel Mediation and Conditional Process Analysis

Boston, MA · May 2017

Poster Session · Methodology

Nicholas Rockwood
The Ohio State University
Andrew Hayes
The Ohio State University

Abstract

We introduce an SPSS macro (MLmed) for multilevel mediation and conditional process analysis. The macro simultaneously estimates between-group and within-group indirect effects and can include multiple mediators and level-2 moderators of these indirect effect(s). Parameter estimates are comparable to those obtained using Mplus or the lme4 package in R.

Quantitative

← Poster Session <span>XII</span>

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Mlmed: An Spss Macro for Multilevel Mediation and Conditional Process Analysis

Abstract

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