The passage of the Matthew Shepard and James Byrd, Jr. Hate Crimes Prevention Act (the Act) in 2009 expanded the bias motivation definitions for hate crimes. The FBI's Uniform Crime Reporting (UCR) Program, which collects and publishes information about crimes motivated by bias, has modified its data collection accordingly by including new and revised definitions, along with corresponding examples.
This publication, a merger of two earlier publications (Hate Crime Data Collection Guidelines and the Training Guide for Hate Crime Data Collection), reflects the changes in the Act and is intended to assist law enforcement agencies in collecting and submitting hate crime data to the FBI UCR Program, as well as establishing an updated hate crime training program for their personnel. In addition to providing suggested model reporting procedures and training aids for capturing the new bias motivations, the manual is written to raise law enforcement officers' awareness of the hate crime problem. The FBI UCR Program is grateful to all who have assisted in preparing this publication.
I. Introduction * II. Criteria of hate crime * III. Definitions for hate crime data collection * IV. Scenarios of bias motivation * V. Understanding how to distinguish sexual orientation, gender identity, anti-transgender, and anti-gender non-conforming crimes * VI. Learning modules for defining and reporting hate crimes * Learning module one: Bias-motivated crimes—definitions and procedures * Module description * Course objectives * Definitions for hate crime data collection * Procedures and criteria * Learning module two: Case study exercises of possible bias-related crimes. * Module description * Course objectives * Rules for the exercise session * Exercise cases
The passage of the Matthew Shepard and James Byrd, Jr. Hate Crimes Prevention Act (the Act) in 2009 expanded the bias motivation definitions for hate crimes. The FBI's Uniform Crime Reporting (UCR) Program, which collects and publishes information about crimes motivated by bias, has modified its data collection accordingly by including new and revised definitions, along with corresponding examples.
This publication, a merger of two earlier publications (Hate Crime Data Collection Guidelines and the Training Guide for Hate Crime Data Collection), reflects the changes in the Act and is intended to assist law enforcement agencies in collecting and submitting hate crime data to the FBI UCR Program, as well as establishing an updated hate crime training program for their personnel. In addition to providing suggested model reporting procedures and training aids for capturing the new bias motivations, the manual is written to raise law enforcement officers' awareness of the hate crime problem. The FBI UCR Program is grateful to all who have assisted in preparing this publication.
I. Introduction * II. Criteria of hate crime * III. Definitions for hate crime data collection * IV. Scenarios of bias motivation * V. Understanding how to distinguish sexual orientation, gender identity, anti-transgender, and anti-gender non-conforming crimes * VI. Learning modules for defining and reporting hate crimes * Learning module one: Bias-motivated crimes—definitions and procedures * Module description * Course objectives * Definitions for hate crime data collection * Procedures and criteria * Learning module two: Case study exercises of possible bias-related crimes. * Module description * Course objectives * Rules for the exercise session * Exercise cases
FBI Hate Crime Data Collection Guidelines and Training Manual: Criteria and Definitions, Scenarios of Bias Motivation, Race, Religion, Ethnicity, Sexual Orientation, Disability, Gender
FBI Hate Crime Data Collection Guidelines and Training Manual: Criteria and Definitions, Scenarios of Bias Motivation, Race, Religion, Ethnicity, Sexual Orientation, Disability, Gender
Product Details
| BN ID: | 2940044439719 |
|---|---|
| Publisher: | Progressive Management |
| Publication date: | 04/11/2013 |
| Sold by: | Smashwords |
| Format: | eBook |
| File size: | 406 KB |