Publikation: Analyzing the convergent and discriminant validity of states and traits : Development and applications of multimethod latent state-trait models
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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 validity of fluctuating states. In this article, the authors show how models of latent state-trait theory can be combined with models of multitrait-multimethod analysis to develop a model that allows for analyzing convergent and discriminant validity in time: the multimethod latent state-trait model. The model allows for identifying different sources of variance (trait consistency, trait-method specificity, occasion-specific consistency, occasion-specific method specificity, and unreliability). It is applied to the repeated measurement of depression and anxiety in children, which was assessed by self and teacher reports (N = 375). The application shows that the proposed models fit the data well and allow a deeper understanding of method effects in clinical assessment.
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COURVOISIER, Delphine S., Fridtjof W. NUSSBECK, Michael EID, Christian GEISER, David A. COLE, 2008. Analyzing the convergent and discriminant validity of states and traits : Development and applications of multimethod latent state-trait models. In: Psychological Assessment. 2008, 20(3), pp. 270-280. ISSN 1040-3590. eISSN 1939-134X. Available under: doi: 10.1037/a0012812BibTex
@article{Courvoisier2008-09Analy-43841,
year={2008},
doi={10.1037/a0012812},
title={Analyzing the convergent and discriminant validity of states and traits : Development and applications of multimethod latent state-trait models},
number={3},
volume={20},
issn={1040-3590},
journal={Psychological Assessment},
pages={270--280},
author={Courvoisier, Delphine S. and Nussbeck, Fridtjof W. and Eid, Michael and Geiser, Christian and Cole, David A.}
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