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Article: Does the big five predict learning approaches?

TitleDoes the big five predict learning approaches?
Authors
KeywordsBig five personality traits
Learning approaches
Issue Date2003
PublisherPergamon. 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?
AbstractThe 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 Identifierhttp://hdl.handle.net/10722/85359
ISSN
2015 Impact Factor: 1.946
2015 SCImago Journal Rankings: 1.160
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorZhang, LFen_HK
dc.date.accessioned2010-09-06T09:03:48Z-
dc.date.available2010-09-06T09:03:48Z-
dc.date.issued2003en_HK
dc.identifier.citationPersonality And Individual Differences, 2003, v. 34 n. 8, p. 1431-1446en_HK
dc.identifier.issn0191-8869en_HK
dc.identifier.urihttp://hdl.handle.net/10722/85359-
dc.description.abstractThe 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.languageengen_HK
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/paiden_HK
dc.relation.ispartofPersonality and Individual Differencesen_HK
dc.subjectBig five personality traitsen_HK
dc.subjectLearning approachesen_HK
dc.titleDoes the big five predict learning approaches?en_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://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.emailZhang, LF: lfzhang@hkucc.hku.hken_HK
dc.identifier.authorityZhang, LF=rp00988en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/S0191-8869(02)00125-3en_HK
dc.identifier.scopuseid_2-s2.0-0037730244en_HK
dc.identifier.hkuros88594en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0037730244&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume34en_HK
dc.identifier.issue8en_HK
dc.identifier.spage1431en_HK
dc.identifier.epage1446en_HK
dc.identifier.isiWOS:000183043500005-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridZhang, LF=15039838600en_HK

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