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Cognitive and noncognitive predictors of success
When predicting success, how important are personal attributes other than cognitive ability? To address this question, we capitalized on a full decade of prospective, longitudinal data from n = 11,258 cadets entering training at the US Military Academy at West Point. Prior to training, cognitive abi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876246/ https://www.ncbi.nlm.nih.gov/pubmed/31685624 http://dx.doi.org/10.1073/pnas.1910510116 |
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author | Duckworth, Angela L. Quirk, Abigail Gallop, Robert Hoyle, Rick H. Kelly, Dennis R. Matthews, Michael D. |
author_facet | Duckworth, Angela L. Quirk, Abigail Gallop, Robert Hoyle, Rick H. Kelly, Dennis R. Matthews, Michael D. |
author_sort | Duckworth, Angela L. |
collection | PubMed |
description | When predicting success, how important are personal attributes other than cognitive ability? To address this question, we capitalized on a full decade of prospective, longitudinal data from n = 11,258 cadets entering training at the US Military Academy at West Point. Prior to training, cognitive ability was negatively correlated with both physical ability and grit. Cognitive ability emerged as the strongest predictor of academic and military grades, but noncognitive attributes were more prognostic of other achievement outcomes, including successful completion of initiation training and 4-y graduation. We conclude that noncognitive aspects of human capital deserve greater attention from both scientists and practitioners interested in predicting real-world success. |
format | Online Article Text |
id | pubmed-6876246 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-68762462019-11-29 Cognitive and noncognitive predictors of success Duckworth, Angela L. Quirk, Abigail Gallop, Robert Hoyle, Rick H. Kelly, Dennis R. Matthews, Michael D. Proc Natl Acad Sci U S A Social Sciences When predicting success, how important are personal attributes other than cognitive ability? To address this question, we capitalized on a full decade of prospective, longitudinal data from n = 11,258 cadets entering training at the US Military Academy at West Point. Prior to training, cognitive ability was negatively correlated with both physical ability and grit. Cognitive ability emerged as the strongest predictor of academic and military grades, but noncognitive attributes were more prognostic of other achievement outcomes, including successful completion of initiation training and 4-y graduation. We conclude that noncognitive aspects of human capital deserve greater attention from both scientists and practitioners interested in predicting real-world success. National Academy of Sciences 2019-11-19 2019-11-04 /pmc/articles/PMC6876246/ /pubmed/31685624 http://dx.doi.org/10.1073/pnas.1910510116 Text en Copyright © 2019 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Social Sciences Duckworth, Angela L. Quirk, Abigail Gallop, Robert Hoyle, Rick H. Kelly, Dennis R. Matthews, Michael D. Cognitive and noncognitive predictors of success |
title | Cognitive and noncognitive predictors of success |
title_full | Cognitive and noncognitive predictors of success |
title_fullStr | Cognitive and noncognitive predictors of success |
title_full_unstemmed | Cognitive and noncognitive predictors of success |
title_short | Cognitive and noncognitive predictors of success |
title_sort | cognitive and noncognitive predictors of success |
topic | Social Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876246/ https://www.ncbi.nlm.nih.gov/pubmed/31685624 http://dx.doi.org/10.1073/pnas.1910510116 |
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