Murray D M, Short B
Division of Epidemiology, School of Public Health, University of Minnesota, Minneapolis 55455, USA.
J Drug Educ. 1996;26(3):207-30. doi: 10.2190/KBHP-6FRT-U0BN-VAUC.
School-based alcohol use prevention studies frequently employ designs in which schools are assigned to treatment conditions while observations are made on individuals. The nesting of schools within treatment conditions requires that the treatment effect be assessed against the between-school variance; unfortunately, that variance is usually larger than for randomly constituted groups and its precision is usually less than that for the within-school variance. These factors often combine to reduce power substantially. To address these problems, investigators need good estimates for the intraclass correlation which together with the number of observations per school determines the magnitude of the extra variation in the nested design. This article presents estimates of school-level intraclass correlation for measures related to alcohol use among ninth and twelfth grade students and discusses their use in planning new studies and analyzing previous or current studies.
将学校分配到不同的治疗条件下,同时对个体进行观察。治疗条件下学校的嵌套要求根据学校间的方差来评估治疗效果;不幸的是,该方差通常比随机组成的组的方差大,其精度通常低于学校内方差的精度。这些因素常常共同作用,大幅降低检验效能。为了解决这些问题,研究人员需要对组内相关系数有良好的估计,该系数与每所学校的观察次数共同决定嵌套设计中额外变异的大小。本文给出了与九年级和十二年级学生酒精使用相关测量指标的学校层面组内相关系数估计,并讨论了它们在规划新研究以及分析先前或当前研究中的应用。