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多层加权抽样

多层加权抽样是一种基于概率的调查设计,它从分层嵌套的总体中抽取样本——例如,学校内的班级中的学生,或区域内的学校——并在每个层级分配设计权重,以解释不平等的选择概率。由此产生的加权数据使得尽管抽样框结构复杂且不成比例,也能进行无偏的总体层面推断。它是PISA和TIMSS等主要国际评估的支柱。

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来源

  1. Kish, L. (1965). Survey Sampling. John Wiley & Sons. New York. ISBN: 978-0471109495
  2. Skinner, C. J., Holt, D., & Smith, T. M. F. (Eds.). (1989). Analysis of Complex Surveys. John Wiley & Sons. Chichester. ISBN: 978-0471918455

如何引用本页

ScholarGate. (2026, June 3). Multi-level Weighted Sampling. ScholarGate. https://scholargate.app/zh/survey-methodology/multi-level-weighted-sampling

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
ScholarGateMulti-level weighted sampling (Multi-level Weighted Sampling). 于 2026-06-15 检索自 https://scholargate.app/zh/survey-methodology/multi-level-weighted-sampling · 数据集: https://doi.org/10.5281/zenodo.20539026