Bad Feminists? Perceived Self-Discrepancy Predicts Differences in Gender Equality Activism View Full Text


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Article Info

DATE

2019-03

AUTHORS

Sarah E. Conlin, Martin Heesacker, Blake A. Allan, Richard P. Douglass

ABSTRACT

This study examines why people who believe in gender equality vary in their degree of activist participation. We conducted one study to assess whether US participants’ (N = 333) perceived behavioral or belief inconsistencies, or perceived knowledge deficits, predicted feminist self-identification and activism. Results demonstrated that the effect of pro-gender equality ideology on activism was mediated by our “bad feminist” variable—including behavioral and belief inconsistencies with gender equality, and perceived knowledge deficit about gender equality. Bad feminist self-perceptions (i.e., perceived inconsistencies) also predicted (1) feminist self-identification and (2) self-esteem. With perceived inconsistencies in the model, self-identification predicted activism to a relatively small degree (β = .23). This structural model explained 45% of variance in reported activism. This model represents an empirical study of the “bad feminist” effect and introduces a new framework for examining participation in the feminist movement. Practical implications suggest the need for increased education about inclusive feminism, aiming to debunk myths of a singular definition, with attention to perceived discrepancies or inadequacies. Future strategies aiming to promote engagement with feminism should also take self-evaluation processes into account. More... »

PAGES

67-88

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12147-017-9200-2

DOI

http://dx.doi.org/10.1007/s12147-017-9200-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091505489


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12147-017-9200-2'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12147-017-9200-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12147-017-9200-2'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12147-017-9200-2'


 

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