Moderated mediation with composites: The composite moderated structural equations approach

Moderated mediation models are crucial in many disciplines, particularly the social sciences. Researchers use them to analyze the conditions under which different variables are related. Structural equation modeling (SEM) is an eminently suitable framework for this endeavor. In fact, several approaches have been proposed and extended to model moderated mediation effects involving reflectively measured latent variables. However, approaches to modeling moderated mediation involving unknown-weight composites (i.e., weighted linear combinations of variables whose weights are estimated freely) are limited in either model specification or model assessment. Unknown-weight composites are used, for example, to model formative constructs or collections of heterogeneous causes. In this study, we propose composite moderated structural equations (CMS), a new approach that combines latent moderated structural equations (LMS), the standard SEM approach for estimating moderation effects among latent variables, with the H-O specification, a recently introduced specification for flexibly modeling composites. A Monte Carlo simulation demonstrates the performance of CMS and confirms that CMS enables researchers to flexibly model and estimate moderated mediation effects involving unknown-weight composites.

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Publication Details

Journal
Behavior Research Methods
Published
2026-04-06
DOI
https://doi.org/10.3758/s13428-025-02930-w
Citations
1
Primary Topic
Psychometric Methodologies and Testing
Type
article
Field-Weighted Citation Impact
44.00

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article

Moderated mediation with composites: The composite moderated structural equations approach

Tamara Schamberger, Florian Schuberth, Jörg Henseler
1 citations
Behavior Research Methods
Psychometric Methodologies and Testing
44.00
article

Moderated mediation with composites: The composite moderated structural equations approach

Tamara Schamberger, Florian Schuberth, Jörg Henseler
article en
1 citations

Abstract

Moderated mediation models are crucial in many disciplines, particularly the social sciences. Researchers use them to analyze the conditions under which different variables are related. Structural equation modeling (SEM) is an eminently suitable framework for this endeavor. In fact, several approaches have been proposed and extended to model moderated mediation effects involving reflectively measured latent variables. However, approaches to modeling moderated mediation involving unknown-weight composites (i.e., weighted linear combinations of variables whose weights are estimated freely) are limited in either model specification or model assessment. Unknown-weight composites are used, for example, to model formative constructs or collections of heterogeneous causes. In this study, we propose composite moderated structural equations (CMS), a new approach that combines latent moderated structural equations (LMS), the standard SEM approach for estimating moderation effects among latent variables, with the H-O specification, a recently introduced specification for flexibly modeling composites. A Monte Carlo simulation demonstrates the performance of CMS and confirms that CMS enables researchers to flexibly model and estimate moderated mediation effects involving unknown-weight composites.

Behavior Research MethodsVol. 58(4)
Bielefeld University (DE), Hochschule Bielefeld (DE), Universidade Nova de Lisboa (PT), University of Twente (NL)
Fundação para a Ciência e a Tecnologia
Reduced inequalities
Openalex Percentile: Top 0%
Psychometric Methodologies and Testing
44.00
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