Content and uniformity of stereotypes and meta-stereotypes of homeless people in Madrid (Spain)
Identifiers
Permanent link (URI): http://hdl.handle.net/10017/27754DOI: 10.1002/jcop.21836
ISSN: 1520-6629
ISSN: 0090-4392
Date
2017Bibliographic citation
Vázquez, J.J., Panadero, S. & Zúñiga, C. (2017). Content and uniformity of stereotypes and meta-stereotypes of homeless people in Madrid (Spain). Journal of Community Psychology, 45(1), 128-137. doi: 10.1002/jcop.21836
Keywords
Stereotypes
Meta-stereotypes
Homeless
Poverty
Social exclusion
Project
FEM2012-35053 (Ministerio de Economía y Competitividad)
Ministerio de Economía y Competitividad
This research was supported by the Dirección General de Investigación Científica y Técnica of the Ministerio de Economía y Competitvidad of Spain, in the VI Plan Nacional de Investigación Científica Desarrollo e Innovación Tecnológica (Ref. FEM2012-35053)
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/submittedVersion
Publisher's version
https://doi.org/10.1002/jcop.21836Rights
Atribución-NoComercial-SinDerivadas 4.0 España
© Wiley Periodicals, Inc., 2016
Access rights
info:eu-repo/semantics/openAccess
Abstract
This study analyses the content and the uniformity of meta-stereotypes among homelessness people, and the stereotypes that domiciled people have of homeless people. The research took place in Madrid (Spain), based on data provided by a representative sample of homeless people (n=188) and a sample of people at no risk of becoming homeless (n=180). Results show that stereotypes of homeless people and homeless people's meta-stereotypes predominantly have negative or indulgent content, with very little positive content, and have a high degree of uniformity, with hardly any differences in terms of basic socio-demographic variables. The meta-stereotypes of homeless people are more uniform, and are more negative and less indulgent than the stereotypes that domiciled people have established regarding homeless people.
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content_vazquez_JCP_2017.pdf | 873.8Kb |
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