2005
DOI: 10.1350/pojo.2005.78.4.285
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Predicting Use of Non-Lethal Force in a Mid-Size Police Department: A Longitudinal Analysis of the Influence of Subject and Situational Variables

Abstract: Historically, most research investigating use of non-lethal force predictors have found that certain subject characteristics increase the likelihood of non-lethal force occurring in a police–citizen encounter. Original police-reported use of force data ( N=3,673) was gathered over a period of 27 months in a Midwestern jurisdiction employing 50 sworn officers. The present dataset was unique in that it was not dependent upon whether an arrest was made. The present findings generally support the findings of studi… Show more

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Cited by 16 publications
(16 citation statements)
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“…The table shows that resisting arrest is relatively rare—around 15 percent of respondents engaged in some form of resistance. This frequency is similar to what is reported in studies based on police records and observational data; they report frequencies between 12 percent and 18 percent (Crawford and Burns 2002; Engel 2003; Garner et al 1995; Leinfelt 2005; U.S. Department of Justice 2012).…”
Section: Resultssupporting
confidence: 87%
“…The table shows that resisting arrest is relatively rare—around 15 percent of respondents engaged in some form of resistance. This frequency is similar to what is reported in studies based on police records and observational data; they report frequencies between 12 percent and 18 percent (Crawford and Burns 2002; Engel 2003; Garner et al 1995; Leinfelt 2005; U.S. Department of Justice 2012).…”
Section: Resultssupporting
confidence: 87%
“…This finding has also been found to be an important predictor of police use of force elsewhere (e.g. Leinfelt, 2005;Hall, 1997;McEwen, 1996;Terrill and Mastrofski, 2002;Worden, 1995). Clearly, such an effect is readily evident in the present inquiry as seen in the odds ratio outcome of the logistic regression model, which is an advantage of estimating this model as opposed to sole reliance on an ordinal regression model as suggested by Terrill and Mastrofski (2002).…”
Section: Situational Influences On Force Severitymentioning
confidence: 60%
“…This is presently a difficult endeavor, given the lack of structure wherein police departments measure use of force (Hickman et al., 2008). Other research using methods analogous to the force factor have come to similar conclusions about the issue of suspect resistance relative to police use of force, as well as the importance of reliability in coding reports (Leinfelt, 2005; Lersch, Bazley, Mieczkowski, & Childs, 2008; Terrill, Leinfelt,& Kwak, 2008).…”
Section: Literature Reviewmentioning
confidence: 81%