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簇随机 A/B 测试

簇随机 A/B 测试是一种实验设计,其中将完整的群体(簇)——例如城市、学校、社交网络社区或应用程序用户细分——作为一个整体单位随机分配到处理(A)或对照(B)条件,而不是随机分配个体用户或受试者。当处理效应在个体之间溢出(如果应用个体级别随机化)或干预必须在群体级别进行时,就会采用这种方法。

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Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Ugander, J., Karrer, B., Backstrom, L., & Kleinberg, J. (2013). Graph cluster randomization: Network exposure to multiple universes. Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 329–337. DOI: 10.1145/2487575.2487695
  2. Hayes, R. J., & Moulton, L. H. (2017). Cluster Randomised Trials (2nd ed.). CRC Press. ISBN: 9781498728874

如何引用本页

ScholarGate. (2026, June 3). Cluster Randomized A/B Test. ScholarGate. https://scholargate.app/zh/experimental-design/cluster-randomized-ab-test

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side
ScholarGateCluster Randomized A/B Test (Cluster Randomized A/B Test). 于 2026-06-15 检索自 https://scholargate.app/zh/experimental-design/cluster-randomized-ab-test · 数据集: https://doi.org/10.5281/zenodo.20539026