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Journal ArticleDOI

Multitrait-Multimethod Analysis: Distinguishing between Items and Traits

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TLDR
In this article, the authors compare MTMM analyses performed on items and factor scores derived from the items, and show that the difference between discriminant validity and method/halo effect is ambiguous when the relationship between the observed measures and underlying traits is unclear.
Abstract
Multitrait-multimethod analysis is designed to assess convergent and discriminant validity, and to also detect method/halo effects. However, the distinction between discriminant validity and method/halo effect is ambiguous when the relationship between the observed measures and underlying traits is unclear. The purpose of this study is to compare MTMM analyses performed on items and factor scores derived from the items. MTMM analyses of the individual items indicated modest support for convergent and divergent validity, and a substantial method/halo effect. The same analyses performed on factor scores showed substantial increases in convergent and divergent validity, and a substantial decrease in the method/halo effect. Based upon this demonstration, researchers are encouraged to conduct a preliminary factor analysis before analyzing MTMM data whenever there is doubt about the underlying trait structure.

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Citations
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Evolutionary personality psychology

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Journal ArticleDOI

A new, more powerful approach to multitrait-multimethod analyses: Application of second-order confirmatory factor analysis.

TL;DR: Second-order confirmatory factor analysis (SORFA) as mentioned in this paper is used to test whether items or subscales accurately reflect the intended factor structure, and test for correlated uniquenesses.
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Student Evaluation of College Teaching: A Practice in Search of Principles.

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References
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Journal ArticleDOI

Convergent and discriminant validation by the multitrait-multimethod matrix.

TL;DR: This transmutability of the validation matrix argues for the comparisons within the heteromethod block as the most generally relevant validation data, and illustrates the potential interchangeability of trait and method components.
Journal ArticleDOI

SEEQ: A Reliable, Valid, and Useful Instrument for Collecting Students' Evaluations of University Teaching.

TL;DR: The SEEQ (Students' Evaluations of Educational Quality) as discussed by the authors is an instrument and programme for collecting students' evaluations of college/university teaching, which is used to measure nine distinct components of teaching effectiveness that have been identified in both student ratings and faculty self evaluations.
Journal ArticleDOI

Confirmatory Factor Analysis of Multitrait Multimethod Matrices.

TL;DR: In this article, the authors provide a pedagogical exposition of the confirmatory factor analysis of multitrait-multimethod (MTMM) matrices, and compare this approach with the application of the CampbellFiske criteria and the ANOVA model.
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