A CTC(M-1) Model for Different Types of Rater

Authors

Christian Geiser, Utah State UniversityFollow
Fridtjof W. Nussbeck, Bielefeld UniversityFollow
Michael Eid, Freie Universität BerlinFollow
Delphine S. Courvoisier, University of GenevaFollow
Tanja Lischetzke, University of Koblenz-LandauFollow

Document Type

Article

Journal/Book Title/Conference

Methodology

Volume

5

Issue

3

Publisher

Hogrefe

Publication Date

1-1-2009

First Page

88

Last Page

98

Abstract

Many psychologists collect multitrait-multimethod (MTMM) data to assess the convergent and discriminant validity of psychological measures. In order to choose the most appropriate model, the types of methods applied have to be considered. It is shown how the combination of interchangeable and structurally different raters can be analyzed with an extension of the correlated trait-correlated method minus one [CTC(M-1)] model. This extension allows for disentangling individual rater biases (unique method effects) from shared rater biases (common method effects). The basic ideas of this model are presented and illustrated by an empirical example.

Recommended Citation

Geiser, Christian; Nussbeck, Fridtjof W.; Eid, Michael; Courvoisier, Delphine S.; and Lischetzke, Tanja, "A CTC(M-1) Model for Different Types of Rater" (2009). Psychology Faculty Publications. Paper 1298.
https://digitalcommons.usu.edu/psych_facpub/1298