Using bifactor model of personality to predict academic performance and dishonesty. Issue 2 (July 2019)
- Record Type:
- Journal Article
- Title:
- Using bifactor model of personality to predict academic performance and dishonesty. Issue 2 (July 2019)
- Main Title:
- Using bifactor model of personality to predict academic performance and dishonesty
- Authors:
- Hendy, Nhung T.
Biderman, Michael D. - Abstract:
- Abstract: A bifactor Confirmatory Factor Analytic (CFA) model was shown to fit Big Five personality data significantly better than a simple CFA model in predicting academic performance and dishonesty using a sample of 299 undergraduate students from two U.S. universities. Specifically, after removing the variance associated with the general factor, factor scores of extraversion were more strongly related to academic dishonesty than were its scale scores. After controlling for sex and cognitive ability, the factor scores of conscientiousness remained a significant predictor of both academic performance and dishonesty while the factor scores of extraversion was a significant predictor of academic dishonesty. The use of bifactor models in improving the predictive validity of personality is discussed. Highlights: Conscientiousness factor scores predicted GPA better than its scale scores. Extraversion factor scores predicted cheating better than its scale scores. Conscientiousness factor scores predicted cheating worse than its scale scores. The above relationships held even after controlling for sex and cognitive ability.
- Is Part Of:
- International journal of management education. Volume 17:Issue 2(2019)
- Journal:
- International journal of management education
- Issue:
- Volume 17:Issue 2(2019)
- Issue Display:
- Volume 17, Issue 2 (2019)
- Year:
- 2019
- Volume:
- 17
- Issue:
- 2
- Issue Sort Value:
- 2019-0017-0002-0000
- Page Start:
- 294
- Page End:
- 303
- Publication Date:
- 2019-07
- Subjects:
- Business education -- Periodicals
Management -- Study and teaching (Higher) -- Periodicals
650.0711 - Journal URLs:
- http://web.ebscohost.com ↗
http://www.heacademy.ac.uk/ijme ↗
http://www.sciencedirect.com/science/journal/14728117 ↗
http://www.business.heacademy.ac.uk/publications/journal/ ↗
http://search.ebscohost.com/direct.asp?db=bth&jid=25KK&scope=site ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijme.2019.05.003 ↗
- Languages:
- English
- ISSNs:
- 1472-8117
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.325760
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10740.xml