Power Analysis for Moderator Effects in Longitudinal Cluster Randomized Designs.

IF 2.1 3区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Educational and Psychological Measurement Pub Date : 2023-02-01 Epub Date: 2022-02-28 DOI:10.1177/00131644221077359
Wei Li, Spyros Konstantopoulos
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引用次数: 0

Abstract

Cluster randomized control trials often incorporate a longitudinal component where, for example, students are followed over time and student outcomes are measured repeatedly. Besides examining how intervention effects induce changes in outcomes, researchers are sometimes also interested in exploring whether intervention effects on outcomes are modified by moderator variables at the individual (e.g., gender, race/ethnicity) and/or the cluster level (e.g., school urbanicity) over time. This study provides methods for statistical power analysis of moderator effects in two- and three-level longitudinal cluster randomized designs. Power computations take into account clustering effects, the number of measurement occasions, the impact of sample sizes at different levels, covariates effects, and the variance of the moderator variable. Illustrative examples are offered to demonstrate the applicability of the methods.

纵向聚类随机设计中调节器效应的功率分析》(Power Analysis for Moderator Effects in Longitudinal Cluster Randomized Designs)。
集群随机对照试验通常包含纵向部分,例如,对学生进行长期跟踪,并反复测量学生的结果。除了研究干预效果如何引起结果变化外,研究人员有时也有兴趣探讨随着时间的推移,干预效果对结果的影响是否会受到个体(如性别、种族/民族)和/或群组水平(如学校的城市化程度)的调节变量的影响。本研究提供了在两级和三级纵向聚类随机设计中对调节变量效应进行统计功率分析的方法。功率计算考虑了聚类效应、测量场合的数量、不同层次样本量的影响、协变量效应以及调节变量的方差。本文提供了一些示例来说明这些方法的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Educational and Psychological Measurement
Educational and Psychological Measurement 医学-数学跨学科应用
CiteScore
5.50
自引率
7.40%
发文量
49
审稿时长
6-12 weeks
期刊介绍: Educational and Psychological Measurement (EPM) publishes referred scholarly work from all academic disciplines interested in the study of measurement theory, problems, and issues. Theoretical articles address new developments and techniques, and applied articles deal with innovation applications.
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