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      Confidence: A better predictor of academic achievement than self-efficacy, self-concept and anxiety?

      , , ,
      Learning and Individual Differences
      Elsevier BV

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          Interactions of Metacognition With Motivation and Affect in Self-Regulated Learning: The MASRL Model

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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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              Universals and specifics of math self-concept, math self-efficacy, and math anxiety across 41 PISA 2003 participating countries

              Jihyun Lee (2009)
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                Author and article information

                Journal
                Learning and Individual Differences
                Learning and Individual Differences
                Elsevier BV
                10416080
                December 2012
                December 2012
                : 22
                : 6
                : 747-758
                Article
                10.1016/j.lindif.2012.05.013
                c0b9134b-1c23-4fab-b6cb-50f6c51c0874
                © 2012

                http://www.elsevier.com/tdm/userlicense/1.0/

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