QUANTATIVE ANALYSES OF ETHNOGRAPHIC REPORTING

第一个奖项申请建议定量分析 人种学数据 这项研究的目的是制定指导方针， 设计毒品和犯罪纵向研究的实地研究人员。 这 这项研究将利用两个主要的人种学数据库，包括 男性吸毒者样本和女性吸毒者样本，以调查 毒品使用、犯罪和暴力实地研究的方法问题。 将在生活史报告（回顾性）和 关于吸毒、犯罪和暴力措施的每周访谈数据， 为了便于得出关于回顾性提供的效用的结论， 关于“典型”行为的信息。 每周趋势分析 报告一系列措施，包括吸毒、犯罪和收入 变量将被执行。 关于可比性的进一步结论 回顾性报告和每周报告的比较将得出 因素分析，从不同阶段获得的变量构建 面试过程。 在不同时间获得的测量结果之间的比较 间隔将有助于就适当的数目得出结论， 访谈的间隔和关于替代指数的可靠性， 吸毒和犯罪行为。 替代因果模型将是 研究毒品、犯罪和暴力之间的联系。 生活史和每周访谈数据的作用将在 这些模型。 未完成的受试者的部分访谈 将对研究进行编码。 未完成者和完成者之间的比较 而在早期和晚期辍学的未完成者之间， 对今后的实地研究设计提出建议。 所有分析 将按样本分层，从而便于在男性和女性之间进行比较， 妇女 虽然这项研究将主要是数据分析性质， 对分析的解释将通过人种学描述来提供信息 包含在主题文件中。 首席研究员将在 与收集数据的民族志学者合作。

This FIRST award application proposes to quantitatively analyze ethnographic data. The goal of this study is to develop guidelines for field researchers designing longitudinal studies of drugs and crime. This study will make use of two major ethnographic data bases, including a sample of male drug users and a sample of female drug users, to investigate methodological issues in field research on drug use, crime, and violence. Comparisons will be made between life history reports (retrospective) and weekly interview data on measures of drug use, crime, and violence in order to facilitate conclusions about the utility of retrospectively provided information about "typical" behavior. Analyses of trends in weekly reporting on a range of measures, including drug use, crime, and income variables will be carried out. Further conclusions about the comparability of retrospective and weekly reports will be drawn from comparisons of factor analyses constructed from variables obtained at different phases of the interview process. Comparisons between measures obtained at different intervals will facilitate conclusions about the appropriate number and spacing of interviews and about the reliability of alternative indices of drug use and criminal behavior. Alternative causal models will be constructed to study the association between drugs, crime, and violence. The role of life history and weekly interview data will be compared in these models. Portions of interviews from subjects who did not complete the study will be coded. Comparisons between non-completers and completers and between non-completers who dropped out early and late will be used to make suggestions about the future design of field research. All analyses will be stratified by sample, thus facilitating comparisons between men and women. Although the research will mainly be data analytic in nature, interpretations of analyses will be informed by ethnographic accounts contained in subject files. The principal investigator will work collaboratively with the ethnographers who collected the data.