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Jammed UpBad Cops, Police Misconduct, and the New York City Police Department$
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Robert J. Kane and Michael D. White

Print publication date: 2012

Print ISBN-13: 9780814748411

Published to NYU Press Scholarship Online: March 2016

DOI: 10.18574/nyu/9780814748411.001.0001

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Predicting Police Misconduct

Predicting Police Misconduct

How to Recognize the Bad Cops

Chapter:
(p.87) Chapter Five Predicting Police Misconduct
Source:
Jammed Up
Author(s):

Robert J. Kane

Michael D. White

Publisher:
NYU Press
DOI:10.18574/nyu/9780814748411.003.0005

This chapter tests the bivariate relationships identified in chapter 4 by employing multivariate techniques to examine the individual-level predictors of police misconduct both for the total sample and for distinct racial/ethnic categories. As noted, because race and ethnicity were the strongest predictors of career-ending misconduct, much of this chapter is devoted to explaining this relationship. This is done by interpreting the findings in the context of a few theories of race and justice (tokenism and conflict theory) as well as by examining the extent to which the predictors of misconduct are salient for both white and nonwhite police officers. In terms of analyses, the chapter reports the results of a logistic regression, a multinomial regression, and a chi-squared automatic interaction detection (CHAID) analysis. These multivariate analyses had formed the bases of hypothesis testing for the present study.

Keywords:   bivariate relationships, multivariate techniques, police misconduct, ethnic categories, racial categories, race, ethnicity, tokenism, conflict theory

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