This study introduces a statistical estimator that can be used to examine disproportionate traffic stop behavior of police officers. This estimator can be employed in concert with internal benchmark data and a tree diagram algorithm to identify and classify disproportionate behavior. These methodologies are multilevel and can be used (a) at the macrolevel to examine disproportionality of a police department as an organization and (b) at the microlevel to draw inferences about reasons for individual officers’ disproportionate behavior. These statistical routines were tested using data from a medium sized midwestern community. Results suggest that the models are effective in detecting disproportionality in both a police organization and an individual officers’ traffic stop activity. Moreover, the methods may serve as an initial step in pointing toward the sources of the officers’ behavior.
Doctoral and Early Career Training School 'Researching the Experiences of Police Stops' - Call for Expressions of Interest
We are beginning to learn more about the practice of stops and searches conducted in public spaces by police officers.…Read more
An action research on the problematic practices and/or mechanisms of police district of Schaerbeek-Evere-St-Josse (PolBruNo). Carroll Tange and Sarah Van…Read more
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