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Journal ArticleDOI

A meta-analytic test of intergroup contact theory.

TLDR
The meta-analysis finds that intergroup contact typically reduces intergroup prejudice, and this result suggests that contact theory, devised originally for racial and ethnic encounters, can be extended to other groups.
Abstract
The present article presents a meta-analytic test of intergroup contact theory. With 713 independent samples from 515 studies, the meta-analysis finds that intergroup contact typically reduces intergroup prejudice. Multiple tests indicate that this finding appears not to result from either participant selection or publication biases, and the more rigorous studies yield larger mean effects. These contact effects typically generalize to the entire outgroup, and they emerge across a broad range of outgroup targets and contact settings. Similar patterns also emerge for samples with racial or ethnic targets and samples with other targets. This result suggests that contact theory, devised originally for racial and ethnic encounters, can be extended to other groups. A global indicator of Allport's optimal contact conditions demonstrates that contact under these conditions typically leads to even greater reduction in prejudice. Closer examination demonstrates that these conditions are best conceptualized as an interrelated bundle rather than as independent factors. Further, the meta-analytic findings indicate that these conditions are not essential for prejudice reduction. Hence, future work should focus on negative factors that prevent intergroup contact from diminishing prejudice as well as the development of a more comprehensive theory of intergroup contact.

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Citations
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Journal ArticleDOI

E Pluribus Unum: Diversity and Community in the Twenty‐first Century The 2006 Johan Skytte Prize Lecture

TL;DR: The authors found that in ethnically diverse neighbourhoods residents of all races tend to "hunker down" and trust (even of one's own race) is lower, altruism and community cooperation rarer, friends fewer.

The Health of Lesbian, Gay, Bisexual, and Transgender People: Building a Foundation for Better Understanding

Robert Graham
TL;DR: The National Institutes of Health asked the Institute of Medicine to assess current knowledge of the health status of lesbian, gay, bisexual, and transgender populations; to identify research gaps and opportunities; and to outline a research agenda to help NIH focus its research in this area.
Journal ArticleDOI

How does intergroup contact reduce prejudice? Meta‐analytic tests of three mediators

TL;DR: In this article, the authors test meta-analytically the three most studied mediators: contact reduces prejudice by enhancing knowledge about the outgroup, reducing anxiety about intergroup contact, and increasing empathy and perspective taking.
Book ChapterDOI

An integrative theory of intergroup contact

TL;DR: In this article, the authors present a re-presentation of Allport's classic contact hypothesis and show that many of his original propositions have capably withstood the test of time.
Journal ArticleDOI

Effect size guidelines for individual differences researchers

TL;DR: In this article, a large sample of previously published meta-analytically derived correlations is used to evaluate Cohen's effect size guidelines from an empirical perspective, and it is suggested that Cohen's correlation guidelines are too exigent, as r ǫ = 0.10, 0.20, and 0.50 were recommended to be considered small, medium and large in magnitude, respectively.
References
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Book

Statistical Power Analysis for the Behavioral Sciences

TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Book

The Nature of Prejudice

TL;DR: In this article, the authors describe the dynamics of prejudgment, including: Frustration, Aggression and Hatred, Anxiety, Sex, and Guilt, Demagogy, and Tolerant Personality.
Book

Experimental and Quasi-Experimental Designs for Research

TL;DR: A survey drawn from social science research which deals with correlational, ex post facto, true experimental, and quasi-experimental designs and makes methodological recommendations is presented in this article.
Book

Statistical Methods for Meta-Analysis

TL;DR: In this article, the authors present a model for estimating the effect size from a series of experiments using a fixed effect model and a general linear model, and combine these two models to estimate the effect magnitude.
Journal ArticleDOI

Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis.

TL;DR: In this paper, a rank-based data augmentation technique is proposed for estimating the number of missing studies that might exist in a meta-analysis and the effect that these studies might have had on its outcome.
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