Statistical power analysis and sample size planning for moderated mediation models

Conditional process models, including moderated mediation models and mediated moderation models, are widely used in behavioral science research. However, few studies have examined approaches to conduct statistical power analysis for such models and there is also a lack of software packages that prov...

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Bibliographic Details
Published in:Behavior research methods 2024-09, Vol.56 (6), p.6130-6149
Main Authors: Xu, Ziqian, Gao, Fei, Fa, Anqi, Qu, Wen, Zhang, Zhiyong
Format: Article
Language:English
Subjects:
Behavioral Research - methods
Behavioral Science and Psychology
Cognitive Psychology
Computer Simulation
Data Interpretation, Statistical
Humans
Mediation Analysis
Models, Statistical
Original Manuscript
Psychology
Regression analysis
Sample Size
Software
Statistical models
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Summary:Conditional process models, including moderated mediation models and mediated moderation models, are widely used in behavioral science research. However, few studies have examined approaches to conduct statistical power analysis for such models and there is also a lack of software packages that provide such power analysis functionalities. In this paper, we introduce new simulation-based methods for power analysis of conditional process models with a focus on moderated mediation models. These simulation-based methods provide intuitive ways for sample-size planning based on regression coefficients in a moderated mediation model as well as selected variance and covariance components. We demonstrate how the methods can be applied to five commonly used moderated mediation models using a simulation study, and we also assess the performance of the methods through the five models. We implement our approaches in the WebPower R package and also in Web apps to ease their application.
ISSN:1554-3528
1554-3528
DOI:10.3758/s13428-024-02342-2