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Estimating Moderating Effects in PLS-SEM and PLSc-SEM: Interaction Term Generation*Data Treatment
Publikationstyp
Journal Article
Date Issued
2018
Sprache
English
TORE-URI
Volume
2
Issue
2
Start Page
1
End Page
21
Citation
Journal of Applied Structural Equation Modeling, 2 (2): 1-21 (2018)
Scopus ID
When estimating moderating effects in partial least squares structural equation modeling (PLS-SEM), researchers can choose from a variety of approaches to model the influence of a moderator on a relationship between two constructs by generating different interaction terms. While prior research has evaluated the efficacy of these approaches in the context of PLS-SEM, the impact of different data treatment options on their performance in the context of standard PLS-SEM and consistent PLS-SEM (PLSc-SEM) is as yet unexplored. Our simulation study addresses these limitations and explores if the choice of approach and data treatment option has a pronounced impact on the methods’ parameter recovery. An empirical application substantiates these findings. Based on our results, we offer recommendations for researchers wishing to estimate moderating effects by means of PLS-SEM and PLSc-SEM.
Subjects
Interaction Term
Moderation
Moderator Analysis
Partial Least Squares
Path Modeling
PLS-SEM
PLSc-SEM
Structural Equation Modeling
Unstandardized Data
DDC Class
000: Allgemeines, Wissenschaft