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Evaluation of Convergent and Discriminant Validity by Use of Structural Equations

  • Ralf Schwarzer

Abstract

The multitrait-multimethod (MTMM) matrix is a correlation matrix of a set of traits, each of which is measured by the same set of methods. Such a matrix can be generated when there are at least two traits being measured by at least two different methods. Two measures of the same trait should intercorrelate highly in order to indicate “convergent” validity. In addition, the correlation between two methods designed to measure the same trait should be substantially higher than the correlation between two traits when they are measured by the same method. This would be called “discriminant” validity. The idea of analyzing a multitrait-multimethod matrix to determine convergent and discriminant validity was introduced by Campbell and Fiske in 1959. Several generalizations have so far been proposed (Fiske, 1982).

Keywords

Discriminant Validity Convergent Validity Method Factor Method Effect Trait Factor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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© Springer-Verlag Berlin Heidelberg 1986

Authors and Affiliations

  • Ralf Schwarzer

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