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NCJRS Abstract


The document referenced below is part of the NCJRS Library collection.
To conduct further searches of the collection, visit the NCJRS Abstracts Database.

How to Obtain Documents
 
NCJ Number: NCJ 222248  
Title: Predicting Officer Performance in Motor Vehicle Stops: An Example of the Repeat Phenomenon
Journal: Policing  Volume:31  Issue:1  Dated:2008  Pages:19 to 35
Author(s): Lisa Growette Bostaph
Publisher Url*: http://www.emeraldinsight.com 
Publication Date: 2008
Pages: 17
Type: Studies/research reports
Origin: United States
Language: English
Annotation: Based on data obtained from a Midwestern U.S. police department, this study examined whether the number of motor vehicle stops were randomly distributed across all officers or were concentrated among a relatively small percentage of officers (the "repeat phenomenon").
Abstract: Data analysis revealed that motor vehicle stops were not randomly distributed among officers, but rather showed a significant concentration of motor vehicle stops among 4 percent of the officers, who accounted for 48 percent of the motor vehicle stops. Situational variables such as reason for the stop and the time of the stop were significant predictors of high-performing officers. High-performing officers tended to engage in traffic-related rather than crime-related stops. Traffic stops compared to crime-related stops take less time, tend to occur in districts with high volumes of traffic, and during shifts when there is more traffic on the road. Future research should focus on distinguishing between situational variables (i.e., traffic volume and shift time) and the behaviors, attitudes, and motivations of individual officers that may influence the frequency of motor vehicle stops among officers. Data on motor vehicle stops were obtained from contact cards on motor vehicle stops completed by police officers between July 1, 2001, and December 31, 2001. Contact cards contained information on the reason for the stop, the driver, passengers, the motor vehicle, and the officer who made the stop. A Poisson process and logistic regression were used in the analysis. 5 tables and 45 references
Main Term(s): Police research
Index Term(s): Police statistics ; Traffic law enforcement ; Productivity ; Police performance evaluation ; Vehicle stops
 
To cite this abstract, use the following link:
http://www.ncjrs.gov/App/Publications/abstract.aspx?ID=244146

* A link to the full-text document is provided whenever possible. For documents not available online, a link to the publisher's web site is provided.


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