Daily Process Design Applied to Cognitive Therapy

项目描述（由申请人提供）：该项目代表了压力和应对的日常过程测量以及情绪调节的具体指标在抑郁症认知疗法（CT）研究中的首次应用。日常压力和应对措施将通过交互式语音应答（IVR）程序管理，具体指标将使用分层线性模型（HLM）计算。具体来说，将在CT开始时（时间1）计算情感调节的具体指数，并在六个疗程后（时间2）再次计算。我们将评估时间1指数作为CT结果（抑郁减轻）的预测因子的效用，以及时间2指数作为CT效果测量的效用。据推测，抑郁症的个人有更好的初始能力，以调节日常的负面影响将显示更多的症状减少CT比个人的初始能力差，以调节日常的负面影响。它也预测，患者的能力，以调节日常的负面影响将提高在过程中的CT。如果成功的话，我们的项目将证明价值的IVR为基础的日常过程的方法，和HLM为基础的日常情绪调节的具体指标，研究心理治疗的结果。

DESCRIPTION (provided by applicant): The proposed project represents the first application of daily process measures of stress and coping, and idiographic indices of affect regulation, to research on cognitive therapy (CT) for depression. The daily stress and coping measures will be administered by an interactive voice response (IVR) procedure, and the idiographic indices will be computed using hierarchical linear modeling (HLM). Specifically, idiographic indices of affect regulation will be computed at the beginning of CT (Time 1), and again six sessions later (Time 2). We will evaluate the utility of the Time 1 indices as predictors of CT outcome (depression-reduction), and the utility of the Time 2 indices as measures of the effects of CT. It is hypothesized that depressed individuals with better initial ability to regulate daily negative affect will show more symptom reduction in CT than individuals with worse initial ability to regulate daily negative affect. It is also predicted that patients' ability to regulate daily negative affect will-improve during the course of CT. If successful, our project will demonstrate the value of an IVR-based daily process methodology, and HLM-based idiographic indices of daily affect regulation, for research on psychotherapy outcome.