Title: A Comparison of Method Effects in Two Confirmatory Factor Models for Structurally Different Methods
Abstract: Abstract 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 Geiser, C., Eid, M. and Nussbeck, F. W. 2008. On the meaning of the latent variables in the CT-C(M − 1) model: A comment on Maydeu-Olivares and Coffman 2006. Psychological Methods, 13: 49–57. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) and the latent difference model (Lischetzke, Eid, & Nussbeck, 2002 Lischetzke, T., Eid, M. and Nussbeck, F. W. Unterschiedliche Definitionen von Methodeneffekten in MTMM Modellen und ihre Implikationen für die Analyse der Validität [Different definitions of method effects in MTMM models and their implications for validity analysis]. Paper presented at the 43rd meeting of the German Psychological Association. Berlin, Germany. September. [Google Scholar]). 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. Keywords: confirmatory factor analysisCT-C(M – 1)latent differencemethod effectsmultitrait–multimethod analysis
Publication Year: 2012
Publication Date: 2012-07-20
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 84
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