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• W2085191826 abstract "The assault of law enforcement officers is an important but understudied topic. To better understand this form of violence, this study drew on the National Incident–Based Reporting System—the nation’s largest data set tracking assaults against police alongside detailed information on situations surrounding attacks. Risk factors were examined within a fixed-effects logistic regression framework via a case-control method in which all incidents involving assault against police ( n = 20,140) were compared with a random sample of arrest encounters that did not involve this form of aggression ( n = 20,118). The data showed that a number of victim, offender, and situational characteristics predicted violence against officers, and the models were able to explain a substantial portion of the variance. Implications for research are discussed." @default.
• W2085191826 created "2016-06-24" @default.
• W2085191826 creator A5039386839 @default.
• W2085191826 date "2015-03-12" @default.
• W2085191826 modified "2023-10-09" @default.
• W2085191826 title "Assault of Police" @default.
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• W2085191826 doi "https://doi.org/10.1177/0011128715574977" @default.
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