Interindividual Differences in Treatment Effects Based on Structural Equation Models with Latent Variables: An EffectLiteR Tutorial. Issue 5 (2nd September 2020)

• Record Type: Journal Article
• Authors: Mayer, Axel; Zimmermann, Johannes; Hoyer, Jürgen; Salzer, Simone; Wiltink, Jörg; Leibing, Eric; Leichsenring, Falk
• Is Part Of: Structural equation modeling. Volume 27:Issue 5(2020)
• Page Start: 798
• Page End: 816
• Publication Date: 2020-09-02
• Subjects: Causal effects -- individual treatment effects -- interaction -- latent variables -- moderation -- structural equation modeling; Multivariate analysis -- Periodicals; Social sciences -- Statistical methods -- Periodicals; 519.535
• DOI: 10.1080/10705511.2019.1671196
• Languages: English
• ISSNs: 1070-5511

Abstract

Abstract : The investigation of interindividual differences in the effects of a treatment is challenging, because many constructs-of-interest in psychological research such as depression or anxiety are latent variables and modeling heterogeneity in treatment effects requires interactions and potentially non-linear relationships. In this paper, we present a tutorial of the EffectLiteR approach that allows for estimating individual treatment effects based on latent variable models. We describe step by step how to apply the approach using the EffectLiteR software package with data from the multicenter randomized controlled trial of the Social Phobia Psychotherapy Network (SOPHO-NET) and provide guidelines and recommendations for researchers. The focus of the paper is on explaining the results of a comprehensive effect analysis in an accessible language and on highlighting the opportunities the EffectLiteR approach offers for analyzing interindividual differences in treatment effects.