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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
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Cole, David A.; Maxwell, Melissa A.; Dukewich, Tammy L.; Yosick, Rachel – Journal of Clinical Child and Adolescent Psychology, 2010
The goal was to examine the relation of covert/relational and overt/physical targeted peer victimization (TPV) to each other, to positive and negative self-cognitions, and to symptoms of depression. In a sample of elementary and middle school children, TPV was assessed by self-report, peer-nomination, and parent report in a multitrait-multimethod…
Descriptors: Structural Equation Models, Multitrait Multimethod Techniques, Validity, Victims of Crime
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LaGrange, Beth; Cole, David A. – Structural Equation Modeling: A Multidisciplinary Journal, 2008
This article examines 4 approaches for explaining shared method variance, each applied to a longitudinal trait-state-occasion (TSO) model. Many approaches have been developed to account for shared method variance in multitrait-multimethod (MTMM) data. Some of these MTMM approaches (correlated method, orthogonal method, correlated method minus one,…
Descriptors: Structural Equation Models, Longitudinal Studies, Multitrait Multimethod Techniques, Correlation
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Eid, Michael; Nussbeck, Fridtjof W.; Geiser, Christian; Cole, David A.; Gollwitzer, Mario; Lischetzke, Tanja – Psychological Methods, 2008
The question as to which structural equation model should be selected when multitrait-multimethod (MTMM) data are analyzed is of interest to many researchers. In the past, attempts to find a well-fitting model have often been data-driven and highly arbitrary. In the present article, the authors argue that the measurement design (type of methods…
Descriptors: Structural Equation Models, Multitrait Multimethod Techniques, Statistical Analysis, Error of Measurement