Citation

Measuring Justice: A New Model for Racial Profiling Research

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Abstract:

Researchers lack consensus on what constitutes bias across most policing contexts (i.e. citizen interrogation, citizen searches, use of force, etc.). In the case of racial profiling, for instance, what metric should a department or social scientist adopt in order to determine what constitutes racial bias in a department’s rate of stopping young Black men? For instance, few argue that police stops should be proportional to the Black population of an urban setting because this assumes a uniform rate of crime across race. My research in Denver eschewed “baserate” analyses in favor of attitude behavior matching, and revealed an intriguing finding. Across a series of field observations, correlational studies, and laboratory experiments I found that threats to an officer’s moral status (i.e. being called racist or feeling emasculated) were more predictive of racially disparate policing than was an officer’s level of prejudice. This research offers a new model for measuring racial justice in policing as well as a new theoretical lens through which to view contemporary racial disparities.
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Association:
Name: American Psychology - Law Society
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http://www.ap-ls.org/


Citation:
URL: http://citation.allacademic.com/meta/p405779_index.html
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MLA Citation:

Goff, Phil. "Measuring Justice: A New Model for Racial Profiling Research" Paper presented at the annual meeting of the American Psychology - Law Society, Westin Bayshore Hotel, Vancouver, BC, Canada, <Not Available>. 2014-11-28 <http://citation.allacademic.com/meta/p405779_index.html>

APA Citation:

Goff, P. "Measuring Justice: A New Model for Racial Profiling Research" Paper presented at the annual meeting of the American Psychology - Law Society, Westin Bayshore Hotel, Vancouver, BC, Canada <Not Available>. 2014-11-28 from http://citation.allacademic.com/meta/p405779_index.html

Publication Type: Symposium Paper
Abstract: Researchers lack consensus on what constitutes bias across most policing contexts (i.e. citizen interrogation, citizen searches, use of force, etc.). In the case of racial profiling, for instance, what metric should a department or social scientist adopt in order to determine what constitutes racial bias in a department’s rate of stopping young Black men? For instance, few argue that police stops should be proportional to the Black population of an urban setting because this assumes a uniform rate of crime across race. My research in Denver eschewed “baserate” analyses in favor of attitude behavior matching, and revealed an intriguing finding. Across a series of field observations, correlational studies, and laboratory experiments I found that threats to an officer’s moral status (i.e. being called racist or feeling emasculated) were more predictive of racially disparate policing than was an officer’s level of prejudice. This research offers a new model for measuring racial justice in policing as well as a new theoretical lens through which to view contemporary racial disparities.


Similar Titles:
Decision Points in Criminal Justice: The Parallel History of Sentencing and Racial Profiling Research

Toward a justice-centered model of online research: Ethics in online research with marginalized persons and groups


 
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