Becker, Jan-MichaelJan-MichaelBeckerRingle, Christian M.Christian M.RingleSarstedt, MarkoMarkoSarstedt2019-12-122019-12-122018Journal of Applied Structural Equation Modeling, 2 (2): 1-21 (2018)http://hdl.handle.net/11420/4059When 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.en2590-422120182121Interaction TermModerationModerator AnalysisPartial Least SquaresPath ModelingPLS-SEMPLSc-SEMStructural Equation ModelingUnstandardized DataAllgemeines, WissenschaftJournal ArticleOther