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Personality traits and general intelligence as predictors of academic performance: A structural equation modelling approach

Rosander, Pia LU ; Bäckström, Martin LU and Stenberg, Georg LU (2011) In Learning and Individual Differences 21(5). p.590-596
Abstract
The aim of the present study was to investigate the extent to which personality traits, after controlling for general intelligence, predict academic performance in different school subjects. Upper secondary school students in Sweden (N=315) completed the Wonderlic IQ test (Wonderlic, 1992) and the IPIP-NEO-PI test (Goldberg, 1999). A series of hierarchical structural equation models showed that general intelligence, Conscientiousness, Extraversion and Neuroticism were significantly linked to overall academic performance. There were also different findings for a lower level of personality traits, e.g. different personality traits were associated with different subjects. The findings are discussed with regard to previous results on... (More)
The aim of the present study was to investigate the extent to which personality traits, after controlling for general intelligence, predict academic performance in different school subjects. Upper secondary school students in Sweden (N=315) completed the Wonderlic IQ test (Wonderlic, 1992) and the IPIP-NEO-PI test (Goldberg, 1999). A series of hierarchical structural equation models showed that general intelligence, Conscientiousness, Extraversion and Neuroticism were significantly linked to overall academic performance. There were also different findings for a lower level of personality traits, e.g. different personality traits were associated with different subjects. The findings are discussed with regard to previous results on personality traits as determinants of academic performance in different school subjects and the fact that lower level traits may facilitate achievement in particular subjects. (C) 2011 Elsevier Inc. All rights reserved. (Less)
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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Big Five, General intelligence, Academic performance, Structural, equation modelling
in
Learning and Individual Differences
volume
21
issue
5
pages
590 - 596
publisher
Pergamon Press Ltd.
external identifiers
  • wos:000295435700015
  • scopus:80052399862
ISSN
1041-6080
DOI
10.1016/j.lindif.2011.04.004
language
English
LU publication?
yes
id
74e19a46-f94f-4f17-a2d8-d08a063dc677 (old id 2208179)
date added to LUP
2016-04-01 10:09:12
date last changed
2022-04-12 02:22:52
@article{74e19a46-f94f-4f17-a2d8-d08a063dc677,
  abstract     = {{The aim of the present study was to investigate the extent to which personality traits, after controlling for general intelligence, predict academic performance in different school subjects. Upper secondary school students in Sweden (N=315) completed the Wonderlic IQ test (Wonderlic, 1992) and the IPIP-NEO-PI test (Goldberg, 1999). A series of hierarchical structural equation models showed that general intelligence, Conscientiousness, Extraversion and Neuroticism were significantly linked to overall academic performance. There were also different findings for a lower level of personality traits, e.g. different personality traits were associated with different subjects. The findings are discussed with regard to previous results on personality traits as determinants of academic performance in different school subjects and the fact that lower level traits may facilitate achievement in particular subjects. (C) 2011 Elsevier Inc. All rights reserved.}},
  author       = {{Rosander, Pia and Bäckström, Martin and Stenberg, Georg}},
  issn         = {{1041-6080}},
  keywords     = {{Big Five; General intelligence; Academic performance; Structural; equation modelling}},
  language     = {{eng}},
  number       = {{5}},
  pages        = {{590--596}},
  publisher    = {{Pergamon Press Ltd.}},
  series       = {{Learning and Individual Differences}},
  title        = {{Personality traits and general intelligence as predictors of academic performance: A structural equation modelling approach}},
  url          = {{http://dx.doi.org/10.1016/j.lindif.2011.04.004}},
  doi          = {{10.1016/j.lindif.2011.04.004}},
  volume       = {{21}},
  year         = {{2011}},
}