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Anxiety Reduces Empathy Toward Outgroup Members But Not Ingroup Members

Published online by Cambridge University Press:  11 September 2017

Kevin Arceneaux*
Affiliation:
Professor of Political Science, Behavioral Foundations Lab Director, Institute for Public Affairs faculty affiliate, Temple University, 453 Gladfelter Hall, 1115 Polett Walk, Philadelphia, PA 19122, USA e-mail: arceneau@temple.edu
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Abstract

Substantial research concludes that favoritism toward members of people's ingroup, or ingroup bias, motivates people to oppose public programs that assist needy outgroup individuals. I argue that a gap in the empathic capacity for ingroup and outgroup members motivates and maintains ingroup bias in helping behavior and is sensitive to contextual cues that trigger anxiety. Using a novel experimental design, Study 1 demonstrates that anxiety exacerbates the outgroup empathy gap. Study 2 replicates these findings with an explicit measure of outgroup empathy. Study 3 shows that the outgroup empathy gap causes individuals to become less supportive of helping needy outgroup members. These studies suggest that opposition to welfare programs may go beyond simple prejudice.

Information

Type
Research Article
Copyright
Copyright © The Experimental Research Section of the American Political Science Association 2017 
Figure 0

Figure 1 Example of skin-tone manipulation in the Modified Reading the Mind in the Eyes Test. Note: See Supporting Materials, Figure S1, for all photos.

Figure 1

Figure 2 The Effects of Anxiety on Ingroup Bias in Empathy and Willingness to Help, Study 2. Note: The dots represent group means and the vertical lines represent the 84% confidence interval. The more common 95% confidence intervals of two means drawn from different distributions overlap more than 5% of the time and produces a Type I error rate at approximately the 0.006 level and not the often incorrectly presumed 0.05 level. If one wishes to infer the two-tailed level of statistical significance at the 0.05 alpha level from the overlap of confidence intervals, it is more appropriate to specify 84% confidence intervals (Goldstein and Healy, 1995).

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