The primary objective of the current study is to examine the impact that the size of a police department and workload on a department have on response time. Secondarily, the authors look at the effect that incident-level factors such as the severity of a call for service (CFS) and community-level factors such as ethnic diversity have on police response time.
The current study examined CFSs data collected over a three-year period and organizational information from 26 police departments in Northeast Texas, as well as community-level information. In order to measure the effect of organizational variables, community factors and incident-level variables on police response time, the authors employed the use of hierarchical linear models (HLMs).
The results of hierarchical linear modeling indicated that incident-level factors and police department size are significant predictors of response time.
There are two primary limitations: first, there were a lack of available organizational structure correlates such as age and differentiation. Second, the primary data set had a significant number of incomplete or repeating cases, thereby limiting the accuracy of the current study’s analysis.
The most unique aspect of this manuscript is that it examines how organizational factors affect police response time. Numerous studies analyzed determinants of police response time such as incident- and community-level factors, but the importance of organizational factors has not been analyzed.
The author would like to thank Dr. Larry Hoover for allowing us to use the CRIMES data.
Salimbene, N.A. and Zhang, Y. (2020), "An examination of organizational and community effects on police response time", Policing: An International Journal, Vol. 43 No. 6, pp. 935-946. https://doi.org/10.1108/PIJPSM-04-2020-0063Download as .RIS
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