PREDICTING DROPOUT AND CHANGE IN BATTERERS TREATMENT

描述（申请人的摘要）： 建议的项目是为了更好地了解 有助于积极的治疗变化和治疗完成， 在认知行为治疗项目中的家庭虐待者。 具体地说， 人格变量（反社会和边缘）的影响 特征）、转诊来源（法院或自我转诊）、社会因素 （人际问题），患者的动机（变化状态）， 治疗师和患者之间的关系（工作联盟）， 并检查治疗依从性。 大约140名男性家庭成员 将在三个时间段对虐待者及其伴侣进行评估， 工作联盟和家庭作业依从性/治疗的额外评分 在治疗阶段进行。 多元回归将 是主要的数据分析方法，用于解决三个具体目标： (1)确定导致形成工作联盟的因素， 治疗，并检查这些变量之间的相互关系;（2） 调查工作联盟和变革阶段对 治疗结果和辍学率，并揭示干预因素， 这些关系;（3）研究工作中的种族差异 联盟形成。

DESCRIPTION (Applicant's Abstract): The broad, long-term objective of the proposed project is to gain a better understanding of the factors which contribute to positive therapeutic change and treatment completion among domestic abusers in a cognitive-behavioral treatment program. Specifically, the effects of personality variables (antisocial and borderline characteristics), referral source (court or self-referred), social factors (interpersonal problems), the motivation of the patient (states of change), the relationship between the therapist and the patient (working alliance), and treatment adherence will be examined. Approximately 140 male domestic abusers and their partner will be assessed at three time periods, with additional ratings of the working alliance and homework compliance/treatment involvement conducted during the treatment phase. Multiple regression will be the primary data analytic method utilized to address three specific aims: (1) to determine factors that lead to the formation of a working alliance in treatment, and examine the interrelationships among these variables; (2) to investigate the influence of the working alliance and stages of change on treatment outcomes and dropout rates, and to uncover intervening factors in these relationships; and (3) to examine racial differences in working alliance formation.