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Article: Does the big five predict learning approaches?
Title | Does the big five predict learning approaches? |
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Authors | |
Keywords | Big five personality traits Learning approaches |
Issue Date | 2003 |
Publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/paid |
Citation | Personality And Individual Differences, 2003, v. 34 n. 8, p. 1431-1446 How to Cite? |
Abstract | The present study examines if the big five personality traits can statistically predict learning approaches. Four hundred and twenty (286 female and 134 male) university students from Shanghai, PR China volunteered to participate in the study. The participants responded to the NEO Five-Factor Inventory and the Study Process Questionnaire. A cross-examination of the results from zero-order correlation, t -tests, multivariate analysis, and multiple-regression procedures indicated that the big five personality traits predict learning approaches to a certain degree. In this prediction, the conscientiousness and openness traits contributed the most in accounting for the differences in students' learning approaches. Conscientiousness is a good predictor for both the deep and the achieving approaches. Openness significantly predicted the deep approach to learning. Neuroticism is a good predictor for the surface approach to learning, whereas the agreeableness trait clearly predicted a learning approach that is not achieving. Finally, no distinct pattern was identified regarding the relationship of extraversion to any of the learning approaches. © 2002 Elsevier Science Ltd. All rights reserved. |
Persistent Identifier | http://hdl.handle.net/10722/85359 |
ISSN | 2023 Impact Factor: 3.5 2023 SCImago Journal Rankings: 1.463 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhang, LF | en_HK |
dc.date.accessioned | 2010-09-06T09:03:48Z | - |
dc.date.available | 2010-09-06T09:03:48Z | - |
dc.date.issued | 2003 | en_HK |
dc.identifier.citation | Personality And Individual Differences, 2003, v. 34 n. 8, p. 1431-1446 | en_HK |
dc.identifier.issn | 0191-8869 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/85359 | - |
dc.description.abstract | The present study examines if the big five personality traits can statistically predict learning approaches. Four hundred and twenty (286 female and 134 male) university students from Shanghai, PR China volunteered to participate in the study. The participants responded to the NEO Five-Factor Inventory and the Study Process Questionnaire. A cross-examination of the results from zero-order correlation, t -tests, multivariate analysis, and multiple-regression procedures indicated that the big five personality traits predict learning approaches to a certain degree. In this prediction, the conscientiousness and openness traits contributed the most in accounting for the differences in students' learning approaches. Conscientiousness is a good predictor for both the deep and the achieving approaches. Openness significantly predicted the deep approach to learning. Neuroticism is a good predictor for the surface approach to learning, whereas the agreeableness trait clearly predicted a learning approach that is not achieving. Finally, no distinct pattern was identified regarding the relationship of extraversion to any of the learning approaches. © 2002 Elsevier Science Ltd. All rights reserved. | en_HK |
dc.language | eng | en_HK |
dc.publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/paid | en_HK |
dc.relation.ispartof | Personality and Individual Differences | en_HK |
dc.subject | Big five personality traits | en_HK |
dc.subject | Learning approaches | en_HK |
dc.title | Does the big five predict learning approaches? | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0191-8869&volume=34&spage=1431&epage=1446&date=2003&atitle=Does+the+Big+Five+Predict+Learning+Approaches? | en_HK |
dc.identifier.email | Zhang, LF: lfzhang@hkucc.hku.hk | en_HK |
dc.identifier.authority | Zhang, LF=rp00988 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/S0191-8869(02)00125-3 | en_HK |
dc.identifier.scopus | eid_2-s2.0-0037730244 | en_HK |
dc.identifier.hkuros | 88594 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-0037730244&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 34 | en_HK |
dc.identifier.issue | 8 | en_HK |
dc.identifier.spage | 1431 | en_HK |
dc.identifier.epage | 1446 | en_HK |
dc.identifier.isi | WOS:000183043500005 | - |
dc.publisher.place | United Kingdom | en_HK |
dc.identifier.scopusauthorid | Zhang, LF=15039838600 | en_HK |
dc.identifier.issnl | 0191-8869 | - |