Intraclass Correlation Associated with Therapists: Estimates and Applications in Planning Psychotherapy Research
Intraclass Correlation Associated with Therapists: Estimates and Applications in Planning Psychotherapy Research
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DOI：
10.1080/16506073.2010.520731
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发表时间：
2011-01-01
影响因子：
4.7
通讯作者：
Watson, Jeanne
中科院分区：
文献类型：
--
作者：
Baldwin, Scott A.;Murray, David M.;Watson, Jeanne
至关重要的是，结果研究允许对干预措施的有效性得出明确的结论。将治疗师嵌套在条件内的常见做法可能会对影响解释的方法提出重要挑战，特别是如果研究无法解释嵌套设计。这些研究优化设计的一个障碍是缺乏有关类内相关系数（ICC）的数据，该数据衡量嵌套引入的统计依赖性。为了开始开发ICC估计的公共数据库，作者调查了20项心理治疗结果研究中报告的ICC的各种结果。在不同的测量和研究中，495个ICC估计值的幅度差异很大。作者提供了关于如何选择和汇总ICC估计用于功率计算的建议，并展示了研究人员如何使用ICC估计来选择将优化功率的患者和治疗师的数量。注意这些建议将加强从心理治疗研究中得出的结论的有效性，这些研究将治疗师置于条件内。
It is essential that outcome research permit clear conclusions to be drawn about the efficacy of interventions. The common practice of nesting therapists within conditions can pose important methodological challenges that affect interpretation, particularly if the study is not powered to account for the nested design. An obstacle to the optimal design of these studies is the lack of data about the intraclass correlation coefficient (ICC), which measures the statistical dependencies introduced by nesting. To begin the development of a public database of ICC estimates, the authors investigated ICCs for a variety outcomes reported in 20 psychotherapy outcome studies. The magnitude of the 495 ICC estimates varied widely across measures and studies. The authors provide recommendations regarding how to select and aggregate ICC estimates for power calculations and show how researchers can use ICC estimates to choose the number of patients and therapists that will optimize power. Attention to these recommendations will strengthen the validity of inferences drawn from psychotherapy studies that nest therapists within conditions.