Does the Group in Group Psychotherapy Matter? A Meta-Analysis of the Intraclass Correlation Coefficient in Group Treatment Research
Does the Group in Group Psychotherapy Matter? A Meta-Analysis of the Intraclass Correlation Coefficient in Group Treatment Research
复制标题
DOI：
10.1037/ccp0000474
复制
发表时间：
2020-04-01
影响因子：
5.9
通讯作者：
Deng, Kuo
中科院分区：
文献类型：
--
作者：
Kivlighan, D. Martin, III;Aloe, Ariel M.;Deng, Kuo
目的：在过去的 30 年中，团体治疗研究人员越来越了解团体内依赖性对团体治疗数据分析和治疗团体内发生的相互影响过程的影响。尽管取得了这些进展，但对于团体治疗研究中相互影响或团体效应的程度仍然缺乏共识。因此，本研究试图通过对团体治疗研究中的组内相关系数（ICC）进行荟萃分析来估计团体对成员治疗后结果的影响大小。此外，我们还测试了 ICC 的多个调节因素，包括结果类型、结果反应性、结果特异性、小组形式、治疗长度和小组规模。方法：使用稳健的方差估计，我们对 37 组治疗研究的 169 个效应量进行了荟萃分析。结果：结果表明平均 ICC 为 0.06。组大小、组形式、治疗时长、结果特异性和结果类型对 ICC 没有显着调节；然而，我们确实发现证据表明 ICC 作为结果反应性的函数而变化，观察者评定的结果测量导致最大的 ICC。结论：这些研究结果表明，团体治疗研究中的相互依赖性在理论上和统计学上都是一个重要的概念。
Objective: Over the last 3 decades, group treatment researchers have become increasingly knowledgeable of the impact of within-group dependency on analyses of group treatment data and of mutual influence processes that occur within therapy groups. Despite these advancements, there remains a lack of consensus on the magnitude of mutual influence, or group effects, in group treatment research. As such, this study sought to estimate the size of group effects on members' posttreatment outcomes by meta-analyzing the intraclass correlation coefficients (ICCs) in group treatment research. In addition, we tested several moderators of the ICC, including outcome type, outcome reactivity, outcome specificity, group format, treatment length, and group size. Method: Using robust variance estimations, we meta-analyzed 169 effect sizes from 37 group treatment studies. Results: Findings indicated an average ICC of 0.06. Group size, group format, treatment length, outcome specificity, and outcome type did not significantly moderate the ICC; however, we did find evidence to suggest that the ICC varies as a function of outcome reactivity, with observer-rated outcome measures resulting in the largest ICC. Conclusion: These findings suggest that interdependence in group treatment research is an important concept both theoretically and statistically.