Breaking down gender subtype perception
Kristina Dziallas () and
Martin Borkovec ()
Additional contact information
Kristina Dziallas: Department of Romance Studies, University of Vienna, Austria
Martin Borkovec: Statistical Consulting Unit, Department of Statistics, Ludwig Maximilian University of Munich, Germany
Technium Social Sciences Journal, 2020, vol. 10, issue 1, 579-610
Abstract:
Gender stereotype research has identified many female and male subtypes, e.g. housewife, career woman, macho man, and wimp. Regarding their perception, several dimensions, such as Warmth, Competence, Traditionality, and Age, have been found to be meaningful in people's cognitive organization of them. The present paper analyses gender subtype perception results obtained in an online questionnaire among English and Spanish participants who rated ten female and ten male subtypes on 15 scales. The subtypes were produced by the participants themselves in a prior study. The results are backed up by interview quotes of the same participants. Many of the findings conform to those of prior studies, e.g. the clear separation of female and male subtype clusters, while others are novel or contrary to previous research. Thus, the English male subtype mate is perceived both very masculine and feminine and the Spanish promiscuous female subtype guarra is seen as inherently different from the English equivalents.
Keywords: Gender subtypes; perception; stereotypes; English; Spanish (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://techniumscience.com/index.php/socialsciences/article/download/1206/523 (application/pdf)
https://techniumscience.com/index.php/socialsciences/article/view/1206 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:tec:journl:v:10:y:2020:i:1:p:579-610
Access Statistics for this article
Technium Social Sciences Journal is currently edited by Tasente Tanase
More articles in Technium Social Sciences Journal from Technium Science
Bibliographic data for series maintained by Tasente Tanase ( this e-mail address is bad, please contact ).