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Beyond traditional understanding of gender measurement: The gender (re)presentation approach

Beyond traditional understanding of gender measurement: The gender (re)presentation approach

Luyt, Russell ORCID: 0000-0003-3842-0273 (2015) Beyond traditional understanding of gender measurement: The gender (re)presentation approach. Journal of Gender Studies, 24 (2). pp. 207-226. ISSN 0958-9236 (Print), 1465-3869 (Online) (doi:

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This paper considers different approaches to measuring gender. It critically reviews gender role theorising and describes how this has informed two approaches to measuring gender as an individual phenomenon: gender orientation (the assessment of individual traits) and gender ideology (assessing individual endorsement, and internalisation, of social norms). It is argued here that social constructionist perspectives offer a viable alternative to gender role theory and that these inform an alternative approach to measuring gender as a social phenomenon: gender (re)presentation. This approach assesses group level endorsement of dominant gender representations. Endorsement is not seen to reflect individual traits or internalised social norms. Rather, it is understood as a social practice, made meaningful through shared understanding of dominant gender representation. This approach is introduced through a critique of the traditional concept of attitudes and a reformulation thereof. The practical measurement implications and benefit of this reformulation are outlined.

Item Type: Article
Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Gender Studies on August 5th, 2013, available online:
Uncontrolled Keywords: gender ideology; gender orientation; gender representation; gender role; social constructionism
Subjects: H Social Sciences > H Social Sciences (General)
Faculty / Department / Research Group: Faculty of Education, Health & Human Sciences
Faculty of Education, Health & Human Sciences > Department of Psychology, Social Work & Counselling
Last Modified: 21 Oct 2020 07:55
Selected for GREAT 2016: None
Selected for GREAT 2017: GREAT a
Selected for GREAT 2018: None
Selected for GREAT 2019: GREAT 6
Selected for REF2021: REF 5

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