British Journal of Mathematical and Statistical Psychology· 2013Q1
Statistical mediation analysis with a multicategorical independent variable
- 3,344citations
- Q1SCImago
- 2013year
Short summary
This paper introduces a novel statistical method for mediation analysis that accommodates multicategorical independent variables, a common scenario not addressed by existing techniques.
AI-generated from the title and abstract; the full text is not read.
Key points
- Develops a mediation analysis method for multicategorical independent variables.
- Provides an approach for estimating direct, indirect, and total effects.
- Method is mathematically equivalent to analysis of (co)variance.
- Generates effects with simple interpretations and reproduces observed group means.
- Offers supplementary code for Mplus, SPSS, and SAS.
AI-generated from the title and abstract; the full text is not read.
Abstract
Virtually all discussions and applications of statistical mediation analysis have been based on the condition that the independent variable is dichotomous or continuous, even though investigators frequently are interested in testing mediation hypotheses involving a multicategorical independent variable (such as two or more experimental conditions relative to a control group). We provide a tutorial illustrating an approach to estimation of and inference about direct, indirect, and total effects in statistical mediation analysis with a multicategorical independent variable. The approach is mathematically equivalent to analysis of (co)variance and reproduces the observed and adjusted group means while also generating effects having simple interpretations. Supplementary material available online includes extensions to this approach and Mplus, SPSS, and SAS code that implements it.
The authors' abstract, as published at the source. British Journal of Mathematical and Statistical Psychology, 2013 · DOI ↗
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Field: Computer Networks and Communications
Computer Networks and CommunicationsComputer Science