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Direct linkKoch, Tobias; Schultze, Martin; Burrus, Jeremy; Roberts, Richard D.; Eid, Michael – Journal of Educational and Behavioral Statistics, 2015
The numerous advantages of structural equation modeling (SEM) for the analysis of multitrait-multimethod (MTMM) data are well known. MTMM-SEMs allow researchers to explicitly model the measurement error, to examine the true convergent and discriminant validity of the given measures, and to relate external variables to the latent trait as well as…
Descriptors: Structural Equation Models, Hierarchical Linear Modeling, Factor Analysis, Multitrait Multimethod Techniques
Geiser, Christian; Eid, Michael; Nussbeck, Fridtjof W.; Courvoisier, Delphine S.; Cole, David A. – Developmental Psychology, 2010
The authors show how structural equation modeling can be applied to analyze change in longitudinal multitrait-multimethod (MTMM) studies. For this purpose, an extension of latent difference models (McArdle, 1988; Steyer, Eid, & Schwenkmezger, 1997) to multiple constructs and multiple methods is presented. The model allows investigators to separate…
Descriptors: Structural Equation Models, Multitrait Multimethod Techniques, Validity, Measurement
Courvoisier, Delphine S.; Nussbeck, Fridtjof W.; Eid, Michael; Geiser, Christian; Cole, David A. – Psychological Assessment, 2008
The analysis of convergent and discriminant validity is an integral part of the construct validation process. Models for analyzing the convergent and discriminant validity have typically been developed for cross-sectional data. There exist, however, only a few approaches for longitudinal data that can be applied for analyzing the construct…
Descriptors: Multitrait Multimethod Techniques, Construct Validity, Validity, Anxiety
