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Cited by 202

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Parental Role Models, Gender and Educational Choice

Dryler, Helen·1998·The British Journal of Sociology

Abstract

Parental role models are often put forward as an explanation for the choice of gender-atypical educational routes. This paper aims to test such explanations by examining the impact of family background variables like parental education and occupation, on choice of educational programme at upper secondary school. Using a sample of around 73,000 Swedish teenagers born between 1972 and 1976, girls' and boys' gender-atypical as well as gender-typical educational choices are analysed by means of logistic regression. Parents working or educated within a specific field increase the probability that a child will make a similar choice of educational programme at upper secondary school. This same-sector effect appeared to be somewhat stronger for fathers and sons, while no such same-sex influence was confirmed for girls. No evidence was found that, in addition to a same-sector effect, it matters whether parents' occupations represent gender-traditional or non-traditional models. Parents of the service classes or highly educated parents--expected to be the most gender egalitarian in attitudes and behaviours--have a positive influence upon children's choice of gender-atypical education.

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Metadata

Authors
Dryler, H.
Venue
The British Journal of Sociology
Publisher
JSTOR
Published
1998-09
Volume
49
Issue
3
Pages
375
ISSN
0007-1315 (ISSN-L)
OpenAlex
W1964105880
Cited by
202
References
0
FWCI
11.49
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Parental Role Models, Gender and Educational Choice. https://app.cochat.ai/papers/10.2307/591389
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Dryler, H. (1998). Parental Role Models, Gender and Educational Choice. The British Journal of Sociology. https://doi.org/10.2307/591389

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.