A Comparison of Method Effects in Two Confirmatory Factor Models for Structurally Different Methods

作者：Geiser Christian^*; Eid Michael; West Stephen G; Lischetzke Tanja; Nus**eck Fridtjof W

来源：Structural Equation Modeling, 2012, 19(3): 409-436.

DOI：10.1080/10705511.2012.687658

• confirmatory factor analysis
• CT-C(M-1)
• latent difference
• method effects
• multitrait-multimethod analysis

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, %26 Nussbeck, 2008) and the latent difference model (Lischetzke, Eid, %26 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.

• 出版日期2012