MEASURING THE IMMEASURABLE: MODELS OF INTEGRATION OF RECORDED CRIME AND VICTIM SURVEY DATA

Alfredas Kiškis
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Abstract

There is a great need to measure the differences of crime rates over time and space. However, it is obvious that the actual crime rate can never be accurately measured. Inexact measuring methods need to be used or crime could be left unmeasured. This article examines the possibilities of complex use of recorded crime and victimisation survey data in order to better assess crime rate differences over time and space within the same country. The article explores the main aspects and problems of comparison of recorded crime and crime victim survey data, provides new models of recorded crime and crime victim survey data integration, compares these models with each other, presents findings on the most suitable model for assessing crime rate and applies this model in practice. A new indicator of crime rate (RAS) is developed based on integration of recorded crime and victim survey data, suitable for assessing crime rate differences over time and space within the same country.
测量不可测量:犯罪记录和受害者调查数据的整合模型
很有必要衡量犯罪率随时间和空间的差异。然而,很明显,实际的犯罪率永远不可能被准确地测量出来。需要使用不精确的测量方法,否则可能无法测量犯罪。本文探讨了复杂使用犯罪记录和受害调查数据的可能性,以便更好地评估同一国家内不同时间和空间的犯罪率差异。本文探讨了犯罪记录与犯罪受害者调查数据比较的主要方面和问题,提出了犯罪记录与犯罪受害者调查数据整合的新模型,并对这些模型进行了比较,提出了最适合犯罪率评估的模型,并将该模型应用于实践。在综合犯罪记录和受害者调查数据的基础上,制定了一个新的犯罪率指标,适合于评估同一国家内不同时间和空间的犯罪率差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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