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Considering multiple criteria for social categorization can reduce intergroup bias

Hall, Natalie R., Crisp, Richard J. (2005) Considering multiple criteria for social categorization can reduce intergroup bias. Personality and Social Psychology Bulletin, 31 (10). pp. 1435-1444. ISSN 0146-1672. (doi:10.1177/0146167205276084) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:4312)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1177/0146167205276084

Abstract

Two experiments tested the notion that considering multiple criteria for social categorization can reduce intergroup bias. In both experiments, participants were required to consider alternative ways in which people could be classified, other than an initially salient intergroup dichotomy. In Experiment 1, the authors found that generating alternative social classifications that were unrelated to an initial target dichotomy reduced intergroup bias compared to a control condition. In Experiment 2, this effect was replicated and the authors found that unrelated, but not related, categorizations were necessary to reduce bias. This article adds support to the view that increasing categorical complexity is a useful tool in bias reduction. These findings are discussed in the context of a developing model of multiple categorization effects.

Item Type: Article
DOI/Identification number: 10.1177/0146167205276084
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Divisions: Divisions > Division of Human and Social Sciences > School of Psychology
Depositing User: Rosalind Beeching
Date Deposited: 05 Jun 2008 12:19 UTC
Last Modified: 05 Nov 2024 09:35 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/4312 (The current URI for this page, for reference purposes)

University of Kent Author Information

Crisp, Richard J..

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