Multitrait-multimethod change modeling

Authors

Christian Geiser, Utah State UniversityFollow
Michael Eid, Freie Universität BerlinFollow
Fridtjof W. Nussbeck, Bielefeld UniversityFollow
Delphine S. Courvoisier, University of GenevaFollow
David A. Cole, Vanderbilt UniversityFollow

Document Type

Article

Journal/Book Title/Conference

AStA – Advances in Statistical Analysis

Volume

94

Issue

2

Publisher

Springer

Publication Date

6-1-2010

First Page

185

Last Page

201

Abstract

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.

Recommended Citation

Geiser, Christian; Eid, Michael; Nussbeck, Fridtjof W.; Courvoisier, Delphine S.; and Cole, David A., "Multitrait-multimethod change modeling" (2010). Psychology Faculty Publications. Paper 1292.
https://digitalcommons.usu.edu/psych_facpub/1292