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      Construct validity of complex problem solving: A comprehensive view on different facets of intelligence and school grades

      , , ,
      Intelligence
      Elsevier BV

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          CHC theory and the human cognitive abilities project: Standing on the shoulders of the giants of psychometric intelligence research

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            Academic performance, career potential, creativity, and job performance: can one construct predict them all?

            This meta-analysis addresses the question of whether 1 general cognitive ability measure developed for predicting academic performance is valid for predicting performance in both educational and work domains. The validity of the Miller Analogies Test (MAT; W. S. Miller, 1960) for predicting 18 academic and work-related criteria was examined. MAT correlations with other cognitive tests (e.g., Raven's Matrices [J. C. Raven, 1965]; Graduate Record Examinations) also were meta-analyzed. The results indicate that the abilities measured by the MAT are shared with other cognitive ability instruments and that these abilities are generalizably valid predictors of academic and vocational criteria, as well as evaluations of career potential and creativity. These findings contradict the notion that intelligence at work is wholly different from intelligence at school, extending the voluminous literature that supports the broad importance of general cognitive ability (g).
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              Separating trait effects from trait-specific method effects in multitrait-multimethod models: a multiple-indicator CT-C(M-1) model.

              An overview of several models of confirmatory factor analysis for analyzing multitrait-multimethod (MTMM) data and a discussion of their advantages and limitations are provided. A new class of multi-indicator MTMM models combines several strengths and avoids a number of serious shortcomings inherent in previously developed MTMM models. The new models enable researchers to specify and to test trait-specific-method effects. The trait and method concepts composing these models are explained in detail and are contrasted with those of previously developed MTMM models for multiple indicators. The definitions of the models are explained step by step, and a practical empirical application of the models to the measurement of 3 traits x 3 methods is used to demonstrate their advantages and limitations.
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                Author and article information

                Journal
                Intelligence
                Intelligence
                Elsevier BV
                01602896
                January 2016
                January 2016
                : 54
                :
                : 55-69
                Article
                10.1016/j.intell.2015.11.004
                034c6c71-2dbe-49c9-a735-0765195efea6
                © 2016
                History

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