Identifying situational predictors of police shootings using multivariate analysis

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

Prior research on the police decision to use deadly force has tended to neglect multivariate relationships, particularly at the situational level. This paper makes use of data describing deadly force incidents in Philadelphia during two time periods (1970-1978 and 1987-1992) and employs multivariate analyses to identify situational predictors of police shootings involving gun-assaultive suspects. Findings from the multivariate analyses are then used in a pilot effort to develop predictive risk classifications of deadly force incidents. Identification of predictors of deadly force is helpful not only in assessing the relative contributions of situational variables but also in shaping our understanding of the behavior of line officers who are forced, by the nature of their work, to make split-second decisions involving life and liberty with minimal guidance and support from the police department.

Original languageEnglish (US)
Pages (from-to)726-751
Number of pages26
JournalPolicing
Volume25
Issue number4
DOIs
StatePublished - 2002
Externally publishedYes

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Police
multivariate analysis
police
Multivariate Analysis
incident
Firearms
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Research

Keywords

  • Crime
  • Firearms
  • Multivariate analysis
  • Police
  • Predictive validity
  • Violence

ASJC Scopus subject areas

  • Law
  • Pathology and Forensic Medicine

Cite this

Identifying situational predictors of police shootings using multivariate analysis. / White, Michael.

In: Policing, Vol. 25, No. 4, 2002, p. 726-751.

Research output: Contribution to journalArticle

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