An examination of gender imbalance in Scottish adolescents' vocational interests.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2021
Historique:
received: 08 02 2021
accepted: 08 09 2021
entrez: 24 9 2021
pubmed: 25 9 2021
medline: 20 11 2021
Statut: epublish

Résumé

This paper documents Scottish adolescents' vocational interest types. Our research is based on the responses of 1,306 pupils from 18 secondary schools to an empirically verified online interest inventory test. Our results are threefold. First, the structural validity of the test with the Scottish sample is confirmed by evaluating the underlying circumplex structure of Holland's RIASEC vocational interests. Second, gender distribution along the six primary vocational interest dimensions is consistent with the research literature: young men scoring higher on the Realistic vocational interest and young women scoring higher on the Social dimension. Finally, we observe that across dimensions, vocational interests of young women are less diverse than those of young men. We discuss how these dissimilarities could lead to differences in education choice and career decision-making.

Identifiants

pubmed: 34559830
doi: 10.1371/journal.pone.0257723
pii: PONE-D-21-04302
pmc: PMC8462744
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0257723

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

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pubmed: 30947274
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pubmed: 16187855
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pubmed: 20160286
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pubmed: 28832997
Psychol Bull. 2009 Nov;135(6):859-884
pubmed: 19883140
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pubmed: 19565683
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pubmed: 21133557
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pubmed: 18712468

Auteurs

Laurence Lasselle (L)

School of Management, University of St Andrews, St Andrews, United Kingdom.

Stijn Schelfhout (S)

Department of Work, Organisation and Society, Ghent University, Ghent, Belgium.
Department of Experimental Psychology, Ghent University, Ghent, Belgium.

Lot Fonteyne (L)

Department of Educational Policy, Ghent University, Ghent, Belgium.

Graham Kirby (G)

School of Computer Science, University of St Andrews, St Andrews, United Kingdom.

Ian Smith (I)

School of Economics & Finance, University of St Andrews, St Andrews, United Kingdom.

Wouter Duyck (W)

Department of Experimental Psychology, Ghent University, Ghent, Belgium.

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Classifications MeSH