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A Bayesian Analysis of the Colorado Springs Spouse Abuse Experiment

This Article analyzes data from the Colorado Springs Spouse Abuse Experiment. In that experiment, suspects apprehended for misdemeanor spouse abuse were assigned at random to one of four treatments: (1) an emergency order of protection for the victim coupled with arrest of the suspect; (2) an emerge... Full description

Journal Title: The journal of criminal law & criminology 1992-04-01, Vol.83 (1), p.170-200
Main Author: Berk, Richard A.
Other Authors: Campbell, Alec , Klap, Ruth , Western, Bruce
Format: Electronic Article Electronic Article
Language: English
Subjects:
Quelle: Alma/SFX Local Collection
Publisher: Baltimore, Md., etc: Northwestern University School of Law
ID: ISSN: 0091-4169
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title: A Bayesian Analysis of the Colorado Springs Spouse Abuse Experiment
format: Article
creator:
  • Berk, Richard A.
  • Campbell, Alec
  • Klap, Ruth
  • Western, Bruce
subjects:
  • Abuse
  • Arrests
  • Criminal arrests
  • Criminal Law
  • Criminal offenses
  • Domestic violence
  • Emergency protective orders
  • Family violence
  • Health care outcome assessment
  • Law enforcement
  • Police
  • Police departments
  • Prevention
  • Problem-oriented policing (Law enforcement)
  • Sample size
  • Social research
  • Spousal abuse
  • Studies
  • Violence
  • Violent crimes
ispartof: The journal of criminal law & criminology, 1992-04-01, Vol.83 (1), p.170-200
description: This Article analyzes data from the Colorado Springs Spouse Abuse Experiment. In that experiment, suspects apprehended for misdemeanor spouse abuse were assigned at random to one of four treatments: (1) an emergency order of protection for the victim coupled with arrest of the suspect; (2) an emergency order of protection for the victim coupled with immediate crisis counseling for the suspect; (3) an emergency order of protection only; or (4) restoring order at the scene with no emergency order of protection. Outcome measures are taken from official police data and from follow-up interviews with victims. Using Bayesian procedures to take previous experiments into account, the balance of evidence supports a deterrent effect for arrest among "good risk" offenders, who presumably have a lot to lose by being arrested. The balance of evidence is far more equivocal for a "labeling effect" in which an arrest increases the likelihood of new violence.
language: eng
source: Alma/SFX Local Collection
identifier: ISSN: 0091-4169
fulltext: fulltext
issn:
  • 0091-4169
  • 2160-0325
url: Link


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descriptionThis Article analyzes data from the Colorado Springs Spouse Abuse Experiment. In that experiment, suspects apprehended for misdemeanor spouse abuse were assigned at random to one of four treatments: (1) an emergency order of protection for the victim coupled with arrest of the suspect; (2) an emergency order of protection for the victim coupled with immediate crisis counseling for the suspect; (3) an emergency order of protection only; or (4) restoring order at the scene with no emergency order of protection. Outcome measures are taken from official police data and from follow-up interviews with victims. Using Bayesian procedures to take previous experiments into account, the balance of evidence supports a deterrent effect for arrest among "good risk" offenders, who presumably have a lot to lose by being arrested. The balance of evidence is far more equivocal for a "labeling effect" in which an arrest increases the likelihood of new violence.
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subjectAbuse ; Arrests ; Criminal arrests ; Criminal Law ; Criminal offenses ; Domestic violence ; Emergency protective orders ; Family violence ; Health care outcome assessment ; Law enforcement ; Police ; Police departments ; Prevention ; Problem-oriented policing (Law enforcement) ; Sample size ; Social research ; Spousal abuse ; Studies ; Violence ; Violent crimes
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abstractThis Article analyzes data from the Colorado Springs Spouse Abuse Experiment. In that experiment, suspects apprehended for misdemeanor spouse abuse were assigned at random to one of four treatments: (1) an emergency order of protection for the victim coupled with arrest of the suspect; (2) an emergency order of protection for the victim coupled with immediate crisis counseling for the suspect; (3) an emergency order of protection only; or (4) restoring order at the scene with no emergency order of protection. Outcome measures are taken from official police data and from follow-up interviews with victims. Using Bayesian procedures to take previous experiments into account, the balance of evidence supports a deterrent effect for arrest among "good risk" offenders, who presumably have a lot to lose by being arrested. The balance of evidence is far more equivocal for a "labeling effect" in which an arrest increases the likelihood of new violence.
copBaltimore, Md., etc
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doi10.2307/1143828
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