1986
DOI: 10.1177/014662168601000101
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Methodology Review: Analysis of Multitrait-Multimethod Matrices

Abstract: Procedures for analyzing multitrait-multimethod (MTMM) matrices are reviewed. Confirmatory factor analysis (Jöreskog, 1974) is presented as a general model allowing evaluation of the discriminant and convergent validity of MTMM matrices, both as a whole and in individual trait-method units. However, it is noted that this model is deficient with regard to analysis of trait-method interactions of the type de scribed by Campbell and O'Connell (1967, 1982). Composite direct product models described by Browne (1984… Show more

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Cited by 272 publications
(205 citation statements)
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“…As in the analysis of variance (ANOVA) approach taken by Landy et al (1991), the correlations in Table 4 were used to calculate the variance component estimates for each rater pair. This technique provides a way to summarize the correlation matrix and partition the variance into four sources: (a) a ratee component that underlies all judgments of the target person across traits and raters (convergent validity), (b) a Ratee X Trait component that represents the independence among the traits (discriminant validity), (c) a Ratee X Rater component that has been regarded as the halo effect, and (d) random error (Schmitt & Stultz, 1986;Stanley, 1961). Given the lack of clear standards for the variance component estimates, the values were compared with those reported by Landy et al (1991) for self and spouse ratings using the Time Urgency Scale and with typical estimates across various studies computed by L. M. King, Hunter, and Schmidt (1980).…”
Section: Resultsmentioning
confidence: 99%
“…As in the analysis of variance (ANOVA) approach taken by Landy et al (1991), the correlations in Table 4 were used to calculate the variance component estimates for each rater pair. This technique provides a way to summarize the correlation matrix and partition the variance into four sources: (a) a ratee component that underlies all judgments of the target person across traits and raters (convergent validity), (b) a Ratee X Trait component that represents the independence among the traits (discriminant validity), (c) a Ratee X Rater component that has been regarded as the halo effect, and (d) random error (Schmitt & Stultz, 1986;Stanley, 1961). Given the lack of clear standards for the variance component estimates, the values were compared with those reported by Landy et al (1991) for self and spouse ratings using the Time Urgency Scale and with typical estimates across various studies computed by L. M. King, Hunter, and Schmidt (1980).…”
Section: Resultsmentioning
confidence: 99%
“…Originally this methodology was introduced by Campbell and Fiske (1959 (Schmitt and Stults, 1986;Jöreskog and Sörbom, 1989). We have performed analyses based on both classical Campbell and Fiske criteria and by using confirmatory factor analysis.…”
Section: A P P E N D Ix Amentioning
confidence: 99%
“…For example, an individual's visual imagery ability of a waist bend is likely to be associated with his or her kinesthetic imagery ability of this movement. Multitraitmultimethod (MTMM) analyses offer a more appropriate statistical approach for establishing the relationship among the traits (i.e., visual and kinesthetic imagery ability) when the effects of method variance and random error are present (Schmitt & Stults, 1986;Marsh & Grayson, 1995). The absence of an MTMM approach in the previous CFAs of the MIQ-R might explain why inconsistent models have been produced (i.e., a two-factor correlated traits English version, and a two-factor uncorrelated traits French version).…”
mentioning
confidence: 99%