Analyzing different types of moderated method effects in confirmatory factor models for structurally different methods
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Transfer
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Analyzing different types of moderated method effects in confirmatory factor models for structurally different methods. / Koch, Tobias; Kelava, Augustin; Eid, Michael.
in: Structural Equation Modeling: A Multidisciplinary Journal, Jahrgang 25, Nr. 2, 04.03.2018, S. 179 - 200.Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Transfer
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TY - JOUR
T1 - Analyzing different types of moderated method effects in confirmatory factor models for structurally different methods
AU - Koch, Tobias
AU - Kelava, Augustin
AU - Eid, Michael
PY - 2018/3/4
Y1 - 2018/3/4
N2 - An extension of two confirmatory factor models for multitrait-multimethod measurement designs with structurally different methods to the analysis of latent interaction effects is presented: the nonlinear latent difference (NL-LD) model and the nonlinear correlated trait–correlated method-minus-one (NL-CTC[M – 1]) model. Both models are compared with regard to (a) the psychometric definition of the latent variables, (b) the capabilities of explaining latent method effects, and (c) the analysis of latent interaction effects. Using the latent moderated structural equation approach, we show how moderated method effects can be examined in the NL-CTC(M – 1) model. This fine-grained analysis of method effects is not feasible using the classical NL-LD model. We propose an extended version of the NL-LD model, which recovers the results of the NL-CTC(M – 1) model. The different versions of the nonlinear multimethod models are illustrated using real data from a multirater study. Finally, the advantages and challenges of incorporating latent interaction effects in complex CFA–MTMM models are discussed.
AB - An extension of two confirmatory factor models for multitrait-multimethod measurement designs with structurally different methods to the analysis of latent interaction effects is presented: the nonlinear latent difference (NL-LD) model and the nonlinear correlated trait–correlated method-minus-one (NL-CTC[M – 1]) model. Both models are compared with regard to (a) the psychometric definition of the latent variables, (b) the capabilities of explaining latent method effects, and (c) the analysis of latent interaction effects. Using the latent moderated structural equation approach, we show how moderated method effects can be examined in the NL-CTC(M – 1) model. This fine-grained analysis of method effects is not feasible using the classical NL-LD model. We propose an extended version of the NL-LD model, which recovers the results of the NL-CTC(M – 1) model. The different versions of the nonlinear multimethod models are illustrated using real data from a multirater study. Finally, the advantages and challenges of incorporating latent interaction effects in complex CFA–MTMM models are discussed.
KW - Psychology
KW - CTC(M-1) model
KW - latent difference model
KW - latent moderation analysis
KW - structurally different methods
KW - Business psychology
KW - Sociology
UR - http://www.scopus.com/inward/record.url?scp=85032012308&partnerID=8YFLogxK
U2 - 10.1080/10705511.2017.1373595
DO - 10.1080/10705511.2017.1373595
M3 - Journal articles
VL - 25
SP - 179
EP - 200
JO - Structural Equation Modeling
JF - Structural Equation Modeling
SN - 1070-5511
IS - 2
ER -