随机选择站点的教育多站点随机对照试验的样本量要求

R. Olsen, E. Bein, D. Judkins
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引用次数: 2

摘要

教育领域的多地点随机对照试验(RCTs)通常在多所学校进行。如果干预措施的影响因学校而异,并且随机对照试验中的学校不能代表所研究的人群,则由此产生的影响估计可能存在外部偏差。这个问题可以通过随机选择学校来缓解。本文提供了随机选择学校的随机对照试验(rct)所需学校数量的估计——或者至少像随机选择学校一样分析数据——并在学校内随机分配学生。结果表明,在规划随机对照试验时,学校之间影响的变化可能很难预测,这是确定检测给定规模影响所需的学校数量的关键因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sample Size Requirements for Education Multi-Site RCTs that Select Sites Randomly
Multi-site randomized controlled trials (RCTs) in education are typically conducted in multiple schools. If the impact of the intervention varies across schools, and the schools in the RCT are not representative of the population of interest, the resulting impact estimates may be externally biased. This problem can be mitigated by selecting schools randomly. This paper provides estimates of the number of schools required in RCTs that select schools randomly — or at least analyze the data as if schools were randomly selected — and randomize students within schools. The results show that the variation in impacts across schools, which may be very difficult to predict when planning an RCT, is a critical factor in determining the number of schools required to detect impacts of a given size.
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