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Article
A CTC(M-1) Model for Different Types of Rater
Methodology
  • Christian Geiser, Utah State University
  • Fridtjof W. Nussbeck, Bielefeld University
  • Michael Eid, Freie Universität Berlin
  • Delphine S. Courvoisier, University of Geneva
  • Tanja Lischetzke, University of Koblenz-Landau
Document Type
Article
Publisher
Hogrefe
Publication Date
1-1-2009
DOI
10.5167/uzh-19988
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.

Citation Information
Christian Geiser, Fridtjof W. Nussbeck, Michael Eid, Delphine S. Courvoisier, et al.. "A CTC(M-1) Model for Different Types of Rater" Methodology Vol. 5 Iss. 3 (2009) p. 88 - 98
Available at: http://works.bepress.com/christian-geiser/12/