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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

Autoren


Geiser, Christian (Autor)
Eid, Michael (Autor)
West, Steve G. (Autor)
Nussbeck, Fridtjof W. (Autor)

Klassifikation


DDC Sachgruppe:
Psychologie

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