CLIENT ENGAGEMENT IN DRUG TREATMENT

描述：（申请人摘要） 导师研究科学家发展奖（RSDA） 已根据检讨委员会的建议作出修订。 的 该奖项将促进我从社会学和程序的职业过渡 药物滥用研究评价。 它还将提供机会， 把我的研究精力集中在重要但研究不足的领域， 研究问题，这将使我能够改善我的统计， 方法和其他研究技能。 一个“多重导师” 方法将被用于该M.道格拉斯安格林博士，主任 加州大学洛杉矶分校药物滥用研究中心（DARC）将担任主要导师， 加州大学洛杉矶分校的心理学、社会学和统计学方面的其他学者， DARC将提供统计，方法和其他研究方面的专业知识 问题. RSDA将用于完成和扩大研究， 系统地研究了“警惕”的潜在原因和后果 参与治疗，使用治疗参与理论模型 为拟议的调查而开发。 研究设计与方法 研究计划包括六个研究项目。 其中五 项目涉及初步数据收集工作，申请人是 主要或共同主要研究者。 第六项研究包括 药物滥用治疗结果研究（DATOS）的次要分析。 将对其他DARC数据集进行次要分析， 必要 本文的研究策略是用初步分析来回答 问题和二次分析，以三角测量和扩展 主要分析的结果。 多变量分析，包括 客户端和程序的结构方程和层次建模 治疗参与度的预测因素和参与度对客户的影响 将进行。 所揭示的经验差距和未回答的问题， 这些分析将成为未来研究建议的基础， 在RSDA期间提交。 今后将讨论的一个领域是 研究涉及了解药物治疗如何以及为什么对某些人有效。 个人，特别是那些完全参与治疗的人。 拟议 研究将探讨有关后果的重要假设， 治疗参与和未来的研究将调查最 关于这一专题的重要经验差距。 这项研究将导致 一些经验和理论的贡献发表在主要 科学期刊，研究结果，结论和影响， 全部著作将汇编成一本六章的书。

DESCRIPTION: (Applicant's Abstract) This application for a Mentored Research Scientist Development Award (RSDA) has been revised according to the suggestions of the Review Committee. The award will facilitate my career transition from sociology and program evaluation to drug abuse research. It will also offer the opportunity to concentrate my research energies on significant but under-researched research questions, and it will allow me to improve my statistical, methodological and other research skills. A ''multiple-mentorship'' approach will be utilized in that M. Douglas Anglin, Ph.D., Director of the UCLA Drug Abuse Research Center (DARC), will act as the primary mentor, and other scholars in psychology, sociology, and statistics at UCLA, and at DARC, will offer expertise in statistical, methodological and other research issues. The RSDA will be used to complete and extend research that systematically examines the potential causes and consequences of "vigilant" participation in treatment, using a treatment engagement theoretical model developed for the proposed investigation. The research design and methods of the proposed research utilize six research projects. Five of these projects involve prima data collection efforts in which the applicant is either the Principal or Co-Principal Investigator. The sixth study includes a secondary analysis of the Drug Abuse Treatment Outcome Study (DATOS). Secondary analyses of additional DARC datasets will be conducted as necessary. The research strategy is to use the primary analyses to answer the questions and the secondary analyses to triangulate and extend the findings of the primary analyses. Multivariate analyses including structural equations and hierarchical modeling of client and program predictors of treatment engagement and client consequences of engagement will be conducted. The empirical gaps and unanswered questions revealed by these analyses will be the basis for future research proposals that will be submitted during the RSDA period. One area that will be addressed in future research involves understanding how and why drug treatment works for some individuals, particularly those who fully engage in treatment. The proposed research will explore important hypotheses concerning the consequences of treatment engagement and the future research will investigate the most important empirical gaps on the topic. The proposed research will result in a number of empirical and theoretical contributions published in major scientific journals, and the findings conclusions, and implications of the entire body of work will be compiled in a six-chapter book.