Group-formation experiments, in which experimental units are randomly assigned to groups, are a powerful tool for studying peer effects in the social sciences. Existing design and analysis approaches allow researchers to draw inference from such experiments without relying on parametric assumptions. In practice, however, group-formation experiments are often coupled with a second, external intervention, that is not accounted for by standard nonparametric approaches. This note shows how to construct Fisherian randomization tests and Neymanian asymptotic confidence intervals for such composite experiments, including in settings where the second intervention exhibits spillovers. We also propose an approach for designing optimal composite experiments.

翻译：现有设计和分析方法使研究人员可以在不依赖参数假设的情况下从这些实验中推断出,但在实践中,组装实验往往与第二个外部干预相结合,而这种外部干预没有考虑到标准的非参数方法。本说明说明如何为这种复合实验,包括在第二次干预外溢的环境下,建立渔业随机测试和Neymanian非干扰性信任间隔,包括第二次干预外溢效应。我们还提出了设计最佳综合实验的方法。