Optimal Sample Designs With Preliminary Tests of Significance
针对社会实验中是否合并控制组的不确定性，提出一种基于显著性预检验的折中样本设计策略，在经典框架中融入对合并可能性的判断。
A common problem faced in social experiments is that of designing a sampling strategy before it is known whether various control groups can be pooled. The classical sample choice is between a large supposedly unpoolable sample or a smaller supposedly poolable sample. This article suggests a compromise strategy between these two extremes based on preliminary tests of significance that allow one to embed judgments about the likelihood of pooling into a classical sample design problem.