Publikation: Multitrait-multimethod change modelling
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Geiser (Multitrait-multimethod-multioccasion modeling, 2009) recently presented the Correlated State-Correlated (Methods-Minus-1) [CS-C(M−1)] model for analysing longitudinal multitrait-multimethod (MTMM) data. In the present article, the authors discuss the extension of the CS-C(M−1) model to a model that includes latent difference variables, called CS-C(M−1) change model. The CS-C(M−1) change model allows investigators to study inter-individual differences in intra-individual change over time, to separate true change from random measurement error, and to analyse change simultaneously for different methods. Change in a reference method can be contrasted with change in other methods to analyse convergent validity of change.
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GEISER, Christian, Michael EID, Fridtjof W. NUSSBECK, Delphine S. COURVOISIER, David A. COLE, 2010. Multitrait-multimethod change modelling. In: Advances in Statistical Analysis : AStA. 2010, 94(2), pp. 185-201. ISSN 1863-8171. eISSN 1863-818X. Available under: doi: 10.1007/s10182-010-0127-0BibTex
@article{Geiser2010Multi-43816, year={2010}, doi={10.1007/s10182-010-0127-0}, title={Multitrait-multimethod change modelling}, number={2}, volume={94}, issn={1863-8171}, journal={Advances in Statistical Analysis : AStA}, pages={185--201}, author={Geiser, Christian and Eid, Michael and Nussbeck, Fridtjof W. and Courvoisier, Delphine S. and Cole, David A.} }
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