The Relation Between Evaluation and Racial Categorization of Emotional Faces

Author:

Axt Jordan R.1,Bar-Anan Yoav23,Vianello Michelangelo4

Affiliation:

1. Duke University, Durham, NC, USA

2. Ben Gurion University of the Negev, Beer-Sheva, Israel

3. Tel-Aviv University, Israel

4. University of Padova, Padova, Italy

Abstract

Prior research has found that indirectly measured preference for White people over Black people is positively related to categorizing angry racially ambiguous faces as Black. This past work found no evidence that directly measured racial preferences predict this racial categorization bias (RCB), suggesting that the RCB could be a unique and easily administered tool for investigating automatic evaluation and validating automatic evaluation measures. In two studies (total N > 7,000), using structural equation models that account for error variance, multiple indirect evaluation measures were uniquely related to the RCB, thus bolstering their predictive validity. However, the RCB also correlated with self-reported evaluation, leaving psychologists without a robust, replicable outcome uniquely related to automatic evaluation. The lack of such an outcome hinders theoretical and practical progress in research on implicit social cognition.

Publisher

SAGE Publications

Subject

Clinical Psychology,Social Psychology

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Improved Scoring Algorithm for Indirect Evaluation Measurement With the Evaluative Priming Task;Social Psychological and Personality Science;2024-08-27

2. Revealing Stereotypes: Evidence from Immigrants in Schools;American Economic Review;2024-07-01

3. How Can Debiasing Research Aid Efforts to Reduce Discrimination?;Personality and Social Psychology Review;2024-04-22

4. The effect of practice on automatic evaluation: A registered replication;Journal of Experimental Social Psychology;2024-03

5. Racial Prejudice Affects Representations of Facial Trustworthiness;Psychological Science;2024-02-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3