Offender Decision-Making: Decision Trees and Displacement, Texas, 2014-2017

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This research expanded on offenders' decisions whether or not to offend by having explored a range of alternatives within the "not offending" category, using a framework derived from the concept of crime displacement. Decision trees were employed to analyze the multi-staged decision-making processes of criminals who are blocked from offending due to a situational crime control or prevention measure. The researchers were interested in determining how offenders evaluated displacement options as available alternatives. The data were collected through face-to-face interviews with 200 adult offenders, either in jail or on probation under the authority of the Texas Department of Criminal Justice, from 14 counties. Qualitative data collected as part of this study's methodology are not included as part of the data collection at this time. Three datasets are included as part of this collection: NIJ-2013-3454__Part1_Participants.sav (200 cases, 9 variables) NIJ-2013-3454__Part2_MeasuresSurvey.sav (2415 cases, 6 variables) NIJ-2013-3454__Part3_Vignettes.sav (1248 cases, 10 variables) Demographic variables included: age, gender, race, and ethnicity.

本数据集属于NACJD的快速发布计划，并以数据提交者提供的原始状态进行分发。NACJD已对文件进行压缩以供发布，但除移除直接标识符外，未进行任何检查或处理。用户应参考随附的readme文件以获取该数据集中可用文件的简要描述，并在需要更多信息时咨询调查者。本研究在犯罪位移概念的基础上，探讨了“不犯罪”类别内的多种替代方案，从而扩展了犯罪者是否犯罪的决定。决策树被用于分析因情境犯罪控制或预防措施而受阻的犯罪者的多阶段决策过程。研究者们对犯罪者如何评估位移选项作为可供选择的替代方案表示了兴趣。数据通过面对面访谈收集，访谈对象为200名成年犯罪者，他们要么在德克萨斯州刑事司法部的监管下服刑，要么在缓刑中，分布于14个县。作为本研究方法的一部分收集的定性数据目前不包括在本数据收集范围内。本收集包括三个数据集：NIJ-2013-3454__Part1_Participants.sav（200个案例，9个变量）、NIJ-2013-3454__Part2_MeasuresSurvey.sav（2415个案例，6个变量）以及NIJ-2013-3454__Part3_Vignettes.sav（1248个案例，10个变量）。包含的统计变量包括年龄、性别、种族和民族。