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Cited by 695

The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.

Beyond the Optimal Contact Strategy: A Reality Check for the Contact Hypothesis.

Dixon, John, Durrheim, Kevin, Tredoux, Colin·2005·American Psychologist

Abstract

The contact hypothesis proposes that interaction between members of different groups reduces intergroup prejudice if--and only if--certain optimal conditions are present. For over 50 years, research using this framework has explored the boundary conditions for ideal contact and has guided interventions to promote desegregation. Although supporting the contact hypothesis in principle, the authors critique some research practices that have come to dominate the field: (a) the prioritizing of the study of interactions occurring under rarefied conditions, (b) the reformulation of lay understandings of contact in terms of a generic typology of ideal dimensions, and (c) the use of shifts in personal prejudice as the primary measure of outcome. The authors argue that these practices have limited the contact hypothesis both as an explanation of the intergroup dynamics of desegregation and as a framework for promoting social psychological change. In so arguing, the authors look toward a complementary program of research on contact and desegregation.

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Metadata

Authors
Dixon, J., Durrheim, K., & Tredoux, C.
Venue
American Psychologist
Published
2005
Volume
60
Issue
7
Pages
697-711
ISSN
  • 0003-066X (ISSN-L)
  • 1935-990X
OpenAlex
W2057970772
Cited by
695
References
77
FWCI
54.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Beyond the Optimal Contact Strategy: A Reality Check for the Contact Hypothesis. https://app.cochat.ai/papers/10.1037/0003-066x.60.7.697
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Dixon, J., Durrheim, K., & Tredoux, C. (2005). Beyond the Optimal Contact Strategy: A Reality Check for the Contact Hypothesis. American Psychologist. https://doi.org/10.1037/0003-066x.60.7.697

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.