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多层最大差异抽样

多层最大差异抽样是一种目的性抽样策略,它有意识地在两个或更多嵌套的组织层面(例如,区域内的学校,或诊所内的患者)选择案例,同时在每个层面最大化关键维度上的异质性。其目的是捕捉分层结构总体中的全部变异范围,以便识别跨越不同情境的共同模式,并可信地记录特定情境的差异。

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来源

  1. Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. [Chapter 5: Maximum variation sampling and purposeful sampling strategies] ISBN: 978-0761919711
  2. Bryman, A. (2016). Social Research Methods (5th ed.). Oxford University Press. [Multi-level and purposive sampling in mixed and qualitative designs] ISBN: 978-0198745082

如何引用本页

ScholarGate. (2026, June 3). Multi-level Maximum Variation Sampling. ScholarGate. https://scholargate.app/zh/survey-methodology/multi-level-maximum-variation-sampling

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