SMABS 2004 Jena University
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European Association of Methodology

Department of methodology and evaluation research

Jena University

Contributions: Abstract

Since Campbell and Fiske's (1959) seminal work on the convergent and discriminant validation the multitrait-multimethod (MTMM) analysis and multimethod research strategies in general have gained much importance in practically all areas of psychological research. Due to the importance of MTMM analyses, a wide array of methods for analyzing MTMM data sets have been developed including models of confirmatory factor analysis, covariance components models, and the direct product model. The advantages and shortcomings of previously developed MTMM approaches are discussed and new approaches for solving some old problems (e.g., identification problems) are presented. In particular, it will be argued that not all MTMM models are appropriate for all MTMM data structures and some criteria for choosing an appropriate MTMM model for a given research plan will be discussed. Finally, some future directions for methodological research in the area of MTMM analysis will be derived.