matthew d fetzer (15 resultados)

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Taschenbuch. Condición: Neu. Neuware -Using data from the Uniform Crime Reporting Hate Crime Statistics Program and the National Crime Victimization Survey, this brief highlights the uniqueness of hate or bias crime victimization. It compares these to non-bias crimes and delineates the situational circumstances that distinguish bias from non-bias offending.The nuances of under-reporting shed light on bias-group and victim reasons for not reporting. By examining measurement issues associated with data collection systems, this brief helps explain why eighty-nine percent of participating law enforcement agencies report zero hate crimes each year. It describes patterns and trends in reporting the volume of general bias motivations and specific bias types, as the most prevalent hate crime offense types and most likely victims and offenders.With recommendations to address issues in measurement and under-reporting, including an action plan by the Enhance the Response to Hate Crimes Advisory Committee and the International Association of Chiefs of Police, a best practice model by the Oak Creek Police Department, and other promising law enforcement reporting models, this brief provides an increasingly critical resource for law enforcement practitioners and researchers dealing with hate crimes.

Condición: New. pp. 100.

Paperback. Condición: Brand New. 126 pages. 9.00x6.00x0.50 inches. In Stock.

Taschenbuch. Condición: Neu. Neuware -Using data from the Uniform Crime Reporting Hate Crime Statistics Program and the National Crime Victimization Survey, this brief highlights the uniqueness of hate or bias crime victimization. It compares these to non-bias crimes and delineates the situational circumstances that distinguish bias from non-bias offending.The nuances of under-reporting shed light on bias-group and victim reasons for not reporting. By examining measurement issues associated with data collection systems, this brief helps explain why eighty-nine percent of participating law enforcement agencies report zero hate crimes each year. It describes patterns and trends in reporting the volume of general bias motivations and specific bias types, as the most prevalent hate crime offense types and most likely victims and offenders.With recommendations to address issues in measurement and under-reporting, including an action plan by the Enhance the Response to Hate Crimes Advisory Committee and the International Association of Chiefs of Police, a best practice model by the Oak Creek Police Department, and other promising law enforcement reporting models, this brief provides an increasingly critical resource for law enforcement practitioners and researchers dealing with hate crimes.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 136 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Using data from the Uniform Crime Reporting Hate Crime Statistics Program and the National Crime Victimization Survey, this brief highlights the uniqueness of hate or bias crime victimization. It compares these to non-bias crimes and delineates the situational circumstances that distinguish bias from non-bias offending.The nuances of under-reporting shed light on bias-group and victim reasons for not reporting. By examining measurement issues associated with data collection systems, this brief helps explain why eighty-nine percent of participating law enforcement agencies report zero hate crimes each year. It describes patterns and trends in reporting the volume of general bias motivations and specific bias types, as the most prevalent hate crime offense types and most likely victims and offenders.With recommendations to address issues in measurement and under-reporting, including an action plan by the Enhance the Response to Hate Crimes Advisory Committee and the International Association of Chiefs of Police, a best practice model by the Oak Creek Police Department, and other promising law enforcement reporting models, this brief provides an increasingly critical resource for law enforcement practitioners and researchers dealing with hate crimes. 136 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Using data from the Uniform Crime Reporting Hate Crime Statistics Program and the National Crime Victimization Survey, this brief highlights the uniqueness of hate or bias crime victimization. It compares these to non-bias crimes and delineates the situational circumstances that distinguish bias from non-bias offending.The nuances of under-reporting shed light on bias-group and victim reasons for not reporting. By examining measurement issues associated with data collection systems, this brief helps explain why eighty-nine percent of participating law enforcement agencies report zero hate crimes each year. It describes patterns and trends in reporting the volume of general bias motivations and specific bias types, as the most prevalent hate crime offense types and most likely victims and offenders.With recommendations to address issues in measurement and under-reporting, including an action plan by the Enhance the Response to Hate Crimes Advisory Committee and the International Association of Chiefs of Police, a best practice model by the Oak Creek Police Department, and other promising law enforcement reporting models, this brief provides an increasingly critical resource for law enforcement practitioners and researchers dealing with hate crimes. 136 pp. Englisch.

Paperback. Condición: Brand New. 126 pages. 9.00x6.00x0.50 inches. In Stock. This item is printed on demand.

Condición: New. Print on Demand pp. 100.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Addresses the current practices and issues in measurement of hate crimes in AmericaProvides insight into causes and consequences of under-reporting of hate crime in AmericaRecommends an action plan and best practice model for hate crime mea.

Condición: New. PRINT ON DEMAND pp. 100.