A comparison of method effects in two confirmatory factor models for structurally different methods
Structural Equation Modeling. Bd. 19. H. 2. New York, NY: Psychology Press, Taylor & Francis Group 2012 S. 409 - 436
Erscheinungsjahr: 2012
ISBN/ISSN: 1532-8007
Publikationstyp: Zeitschriftenaufsatz
Sprache: Englisch
Doi/URN: 10.1080/10705511.2012.687658
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Inhaltszusammenfassung
Multimethod data analysis is a complex procedure that is often used to examine the degree to which different measures of the same construct converge in the assessment of this construct. Several authors have called for a greater understanding of the definition and meaning of method effects in different models for multimethod data. In this article, we compare 2 recently proposed approaches for modeling data with structurally different methods with regard to the definition and meaning of method ...Multimethod data analysis is a complex procedure that is often used to examine the degree to which different measures of the same construct converge in the assessment of this construct. Several authors have called for a greater understanding of the definition and meaning of method effects in different models for multimethod data. In this article, we compare 2 recently proposed approaches for modeling data with structurally different methods with regard to the definition and meaning of method effects, the restricted CT-C(M-1) model (Geiser, Eid, & Nussbeck, 2008) and the latent difference model (Lischetzke, Eid, & Nussbeck, 2002).We also introduce the concepts of individual, conditional, and general method bias and show how these types of biases are represented in the models. An application to a multirater data set (N = 199) as well as recommendations for the application and interpretation of each model are provided.» weiterlesen» einklappen
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DDC Sachgruppe:
Psychologie