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 language | English (US) |
|---|---|
| Pages (from-to) | 726-751 |
| Number of pages | 26 |
| Journal | Policing |
| Volume | 25 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2002 |
| Externally published | Yes |
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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 journal › Article
}
TY - JOUR
T1 - Identifying situational predictors of police shootings using multivariate analysis
AU - White, Michael
PY - 2002
Y1 - 2002
N2 - 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.
AB - 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.
KW - Crime
KW - Firearms
KW - Multivariate analysis
KW - Police
KW - Predictive validity
KW - Violence
UR - http://www.scopus.com/inward/record.url?scp=3242662702&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=3242662702&partnerID=8YFLogxK
U2 - 10.1108/13639510210450659
DO - 10.1108/13639510210450659
M3 - Article
VL - 25
SP - 726
EP - 751
JO - Policing
JF - Policing
SN - 1363-951X
IS - 4
ER -