The Subtle Spreading of Sexist Norms

DOI

Data of the 3 studies in publication The Subtle Spreading of Sexist Norms (DOI: 10.1177/1368430220961838) in Group Processes and Intergroup Relations.

ABSTRACT: Even when overt sexism and prejudice become rarer, social norms that perpetuate inequality are remarkably persistent. The present research lays out one of the subtle ways in which sexist norms may spread through society, by pointing to the role of responses to sexism. We investigate how third parties infer social norms about sexism when observing social interactions. In three studies among male students (Studies 1 and 2) and male and female students (Study 3), we demonstrate that subtle variations in how people respond to a sexist statement can have a substantial influence on inferences third parties make about sexist norms. Specifically, when a sexist statement is made and the conversation continues in a smoothly flowing fashion, third parties infer that this opinion is shared among interaction partners, perceived as appropriate, and that sexism is normative among them. However, when a sexist statement is followed by a brief silence that disrupts the flow of the conversation, observers think that it is contentious and that sexism is neither shared nor normative. Importantly, the effects of the manipulation generalized to the perception of sexist descriptive norms among male students in general. We conclude that social and cultural norms are not just inferred from conversation content, but also from conversational flow.

Identifier
DOI https://doi.org/10.34894/HSYYA8
Related Identifier https://doi.org/10.1177/1368430220961838
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/HSYYA8
Provenance
Creator Koudenburg, Namkje ORCID logo
Publisher DataverseNL
Contributor Research Data Office
Publication Year 2020
Funding Reference NWO, VENI 451 17 011
Rights CC0 Waiver; info:eu-repo/semantics/openAccess; https://creativecommons.org/publicdomain/zero/1.0/
OpenAccess true
Contact Research Data Office (University of Groningen)
Representation
Resource Type experimental data; Dataset
Format application/x-spss-sav
Size 23431; 107062; 79602
Version 1.1
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences