The measurement and prediction of police interviewing performance and the dissemination of good practice through a distributive workplace learning system

通过分布式工作场所学习系统衡量和预测警察讯问表现并传播良好做法

• 批准号: LP0775248
• 负责人: Prof Martine Powell
• 金额: $ 19.92万
• 依托单位: Deakin University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2007
• 资助国家: 澳大利亚
• 起止时间: 2007-04-08 至 2010-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0775248
• 关键词: measurement; prediction; police; interviewing; performance

This research aims to develop the first ever standardised measures of police interviewers' performance, focusing on interviews about sexual offences. Standardised measures are essential for quality control evaluation, identifying training needs, assigning workload, predicting case outcome and benchmarking organisation capabilities. By improving the quality of police interviews about sexual offences, this research will improve the reporting, prosecution and conviction rates of sexual offences, which will have a deterrent effect on potential offenders. Further, this research will reduce the stress of witnesses and suspects involved in the legal process and reduce burnout of police interviewers by increasing competency and job satisfaction.

这项研究的目的是制定有史以来第一个标准化的措施，警察面试的表现，重点是对性犯罪的采访。标准化措施对于质量控制评估、确定培训需求、分配工作量、预测案件结果和衡量组织能力至关重要。通过提高警察关于性犯罪的面谈质量，这项研究将提高性犯罪的报告、起诉和定罪率，这将对潜在的犯罪者产生威慑作用。此外，这项研究将减少证人和嫌疑人参与法律的过程中的压力，并通过提高能力和工作满意度来减少警察面试官的倦怠。