Literature DB >> 14717633

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

Nathan R Kuncel1, Sarah A Hezlett, Deniz S Ones.   

Abstract

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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Year:  2004        PMID: 14717633     DOI: 10.1037/0022-3514.86.1.148

Source DB:  PubMed          Journal:  J Pers Soc Psychol        ISSN: 0022-3514


  62 in total

1.  From ERPs to Academics.

Authors:  Charles H Hillman; Matthew B Pontifex; Robert W Motl; Kevin C O'Leary; Christopher R Johnson; Mark R Scudder; Lauren B Raine; Darla M Castelli
Journal:  Dev Cogn Neurosci       Date:  2012-02-15       Impact factor: 6.464

2.  Associations of cord blood leptin and adiponectin with children's cognitive abilities.

Authors:  Nan Li; Tye E Arbuckle; Gina Muckle; Bruce P Lanphear; Michel Boivin; Aimin Chen; Linda Dodds; William D Fraser; Emmanuel Ouellet; Jean R Séguin; Maria P Velez; Kimberly Yolton; Joseph M Braun
Journal:  Psychoneuroendocrinology       Date:  2018-10-25       Impact factor: 4.905

3.  Learning a novel phonological contrast depends on interactions between individual differences and training paradigm design.

Authors:  Tyler K Perrachione; Jiyeon Lee; Louisa Y Y Ha; Patrick C M Wong
Journal:  J Acoust Soc Am       Date:  2011-07       Impact factor: 1.840

4.  Can personality traits and intelligence compensate for background disadvantage? Predicting status attainment in adulthood.

Authors:  Rodica Ioana Damian; Rong Su; Michael Shanahan; Ulrich Trautwein; Brent W Roberts
Journal:  J Pers Soc Psychol       Date:  2014-11-17

5.  Training versus engagement as paths to cognitive enrichment with aging.

Authors:  Elizabeth A L Stine-Morrow; Brennan R Payne; Brent W Roberts; Arthur F Kramer; Daniel G Morrow; Laura Payne; Patrick L Hill; Joshua J Jackson; Xuefei Gao; Soo Rim Noh; Megan C Janke; Jeanine M Parisi
Journal:  Psychol Aging       Date:  2014-11-17

6.  The Power of Personality: The Comparative Validity of Personality Traits, Socioeconomic Status, and Cognitive Ability for Predicting Important Life Outcomes.

Authors:  Brent W Roberts; Nathan R Kuncel; Rebecca Shiner; Avshalom Caspi; Lewis R Goldberg
Journal:  Perspect Psychol Sci       Date:  2007-12

7.  Brain Structure Linking Delay Discounting and Academic Performance.

Authors:  Song Wang; Feng Kong; Ming Zhou; Taolin Chen; Xun Yang; Guangxiang Chen; Qiyong Gong
Journal:  Hum Brain Mapp       Date:  2017-05-12       Impact factor: 5.038

8.  General intelligence predicts memory change across sleep.

Authors:  Kimberly M Fenn; David Z Hambrick
Journal:  Psychon Bull Rev       Date:  2015-06

9.  Making (up) the grade? estimating the genetic and environmental influences of discrepancies between self-reported grades and official GPA scores.

Authors:  Joseph A Schwartz; Kevin M Beaver
Journal:  J Youth Adolesc       Date:  2014-09-10

Review 10.  Positive Traits in the Bipolar Spectrum: The Space between Madness and Genius.

Authors:  Tiffany A Greenwood
Journal:  Mol Neuropsychiatry       Date:  2016-12-09
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