Extraversion, introversion, neuroticism, occupational relationships.

McCarthy, P. J. (1976). Extraversion, introversion, neuroticism, occupational relationships. Honours Thesis, School of Psychology, The University of Queensland.

       
Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
THE5564.pdf Full text application/pdf 3.24MB 0
Author McCarthy, P. J.
Thesis Title Extraversion, introversion, neuroticism, occupational relationships.
School, Centre or Institute School of Psychology
Institution The University of Queensland
Publication date 1976
Thesis type Honours Thesis
Total pages 74
Language eng
Subjects 14 Economics
Formatted abstract Eysenck and others have shown that the biological bases of Extraversion and Neuroticism contribute important theoretical concepts to our understanding of the behaviour of different personality types in organizations.

Phase I of this study confirmed the hypothesis that salesmen employed by an Australian manufacturing company would be significantly more extraverted than other occupational groups and credit control employees would be significantly less extraverted. Female employees also showed significantly higher neuroticism scores.

Phase II of this study failed to support the expectation that salesmen whose performance was rated more highly by branch and general sales managers would tend to be more highly extraverted and more stable. Older, longer serving salesmen tended to be rated higher by sales managers in terms of performance ratings.

While salesmen and clerks have tended to fall into generally accepted typologies of extraverts and introverts, the influence of newer job and work team design criteria may allow the melding of a wider variety of personality types into the salesman and clerk's work teams than the traditional design criteria. There also appears sufficient evidence to raise doubts about the use of the Eysenck Personality Inventory (E.P.I.) as an instrument for selection and prediction of performance.


 
Citation counts: Google Scholar Search Google Scholar
Access Statistics: 62 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Mon, 29 Nov 2010, 13:36:23 EST by Ning Jing on behalf of The University of Queensland Library