Journal ArticleDOI
Analysis of multitrait-multimethod matrices: a two step principal components procedure.
TLDR
A relatively simple technique for assessing the convergence of sets of variables across method domains, empirically orthogonalizes each method domain into sets of components, and then analyzes convergence among components across domains.Abstract:
A relatively simple technique for .assessing the convergence of sets of variables across method domains is presented. The technique, two-step principal components analysis, empirically orthogonalizes each method domain into sets of components, and then analyzes convergence among components across domains. The proposed technique is directly compared with Jackson's (1969) multi-method factor analysis (which involves an a priori orthogonalization) in the analysis of data from personality, vocational interest and aptitude domains. While Jackson's technique focuses on individual variables, and the two-step procedure focuses on the components of variable domains, both techniques produced evidence of cross-domain convergence. However, Jackson's method was found t o have several undesirable mathematical and interpretational consequences, while the two-step procedure appears to be a promising technique for the systematic, empirical analysis of multitrait-multimethod matrices.read more
Citations
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Journal ArticleDOI
Assessing Construct Validity in Organizational Research
Journal ArticleDOI
Hierarchically nested covariance structure models for multitrait-multimethod data
TL;DR: In this paper, a taxonomy of covariance structure models for multiretrait-multimethod data is presented, which can be used to test the significance of the convergent and the discriminant validity shown by a set of measures as well as the ex tent of method variance.
Journal ArticleDOI
Methodology review: Analysis of multitrait-multimethod matrices
Neal Schmitt,Daniel M. Stults +1 more
TL;DR: In this paper, a general model for analyzing multitrait-multimethod (MTMM) matrices is presented, based on confirmatory factor analysis (Joreskog, 1974).
Journal ArticleDOI
Joint factors in self-reports and ratings: Neuroticism, extraversion and openness to experience
Robert R. McCrae,Paul T. Costa +1 more
TL;DR: In this paper, the authors argue that recent conceptual and technical advances should now make it possible to show joint factors at the second-order level using standard factor techniques, and they provide strong evidence for the validity of the proposed three-domain model of personality.
References
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Journal ArticleDOI
The varimax criterion for analytic rotation in factor analysis
TL;DR: In this article, an analytic criterion for rotation is defined and the scientific advantage of analytic criteria over subjective (graphical) rotational procedures is discussed, and a computational outline for the orthogonal normal varimax is appended.
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Some contributions to maximum likelihood factor analysis
TL;DR: In this paper, a new computational method for the maximum likelihood solution in factor analysis is presented, which takes into account the fact that the likelihood function may not have a maximum in a point of the parameter space where all unique variances are positive.
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An inter-battery method of factor analysis
TL;DR: The inter-battery method of factor analysis was devised to provide information relevant to the stability of factors over different selections of tests as mentioned in this paper, and the correlation between factors determined by scores on the tests in the two batteries was taken as factor reliability coefficients.