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Ten Ways to Improve the Use of Statistical Mediation Analysis in the Practice of Child and Adolescent Treatment Research

机译:在儿童和青少年治疗研究实践中改进使用统计中介分析的十种方法

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摘要

Despite guidelines and repeated calls from the literature, statistical mediation analysis in youth treatment outcome research is rare. Even more concerning is that many studies that have reported mediation analyses do not fulfill basic requirements for mediation analysis, providing inconclusive data and clinical implications. As a result, after more than five decades of research, it is still largely unknown through which processes youth treatment works and what the effective treatment components are. In this article, we present ten ways in which the use of statistical mediation analysis in youth treatment outcome research may be improved. These ten ways are related both to conceptual and methodological issues. In discussing how youth clinical researchers may optimally implement these directions, we argue that studies should employ the strongest research designs possible. In so doing, we describe different levels of a mediation evidence ladder. Studies on each step of the ladder contribute to an understanding of mediation processes, but the strongest evidence for mediation is provided by studies that can be classified at the highest level. With the help of the ladder of mediation evidence, results from youth mediation treatment outcome research can be evaluated on their scientific as well as clinical impact.
机译:尽管有指南和文献的反复呼吁,但青年治疗结果研究中的统计中介分析却很少。更令人担忧的是,许多报告了调解分析的研究都不能满足调解分析的基本要求,从而提供了不确定的数据和临床意义。结果,经过超过五十年的研究,对于青年治疗的工作过程以及有效的治疗成分是什么,仍然是一个未知数。在本文中,我们提出了十种改善青年治疗结果研究中统计中介分析方法的方法。这十种方式与概念和方法论问题有关。在讨论青年临床研究人员如何最佳地实施这些指示时,我们认为研究应采用最强大的研究设计。在此过程中,我们描述了调解证据阶梯的不同级别。对阶梯的每个步骤的研究有助于对调解过程的理解,但是,可以在最高级别归类的研究为调解提供了最有力的证据。借助调解证据的阶梯,可以评估青年调解治疗结果研究的结果在科学和临床方面的影响。

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