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随机分组比较中的功效:在传统的前测-后测设计中增加一个中间时间点的价值。

Power in randomized group comparisons: the value of adding a single intermediate time point to a traditional pretest-posttest design.

作者信息

Venter Anre, Maxwell Scott E, Bolig Erika

机构信息

Department of Psychology, University of Notre Dame, Indiana 46556-5636, USA.

出版信息

Psychol Methods. 2002 Jun;7(2):194-209. doi: 10.1037/1082-989x.7.2.194.

Abstract

Adding a pretest as a covariate to a randomized posttest-only design increases statistical power, as does the addition of intermediate time points to a randomized pretest-posttest design. Although typically 5 waves of data are required in this instance to produce meaningful gains in power, a 3-wave intensive design allows the evaluation of the straight-line growth model and may reduce the effect of missing data. The authors identify the statistically most powerful method of data analysis in the 3-wave intensive design. If straight-line growth is assumed, the pretest-posttest slope must assume fairly extreme values for the intermediate time point to increase power beyond the standard analysis of covariance on the posttest with the pretest as covariate, ignoring the intermediate time point.

摘要

在仅后测的随机设计中加入前测作为协变量可提高统计效力,在前后测的随机设计中加入中间时间点也有同样效果。尽管在这种情况下通常需要5波数据才能在效力上产生有意义的提升,但3波密集设计可以评估直线增长模型,并且可能减少缺失数据的影响。作者确定了3波密集设计中统计效力最强的数据分析方法。如果假设为直线增长,那么前测-后测斜率必须取相当极端的值,中间时间点才能在以预测试为协变量对后测试进行标准协方差分析(忽略中间时间点)的基础上提高效力。

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