Process / pipelineSampling
适应性最大变异抽样
适应性最大变异抽样是一种有目的的定性抽样策略，它将最大变异抽样的逻辑（即，有意识地选择在关键维度上差异尽可能大的案例）与适应性、迭代的招募过程相结合。研究者不是预先确定完整的样本，而是持续审查新出现的数据，以识别哪些类型的案例代表性不足，并招募新的参与者来填补这些空白，从而在数据收集过程中最大化异质性。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. [Maximum variation sampling, pp. 169–183] ISBN: 978-0803937796
- Thompson, S. K. (1990). Adaptive cluster sampling. Journal of the American Statistical Association, 85(412), 1050–1059. DOI: 10.2307/2289601 ↗
如何引用本页
ScholarGate. (2026, June 3). Adaptive Maximum Variation Purposive Sampling. ScholarGate. https://scholargate.app/zh/survey-methodology/adaptive-maximum-variation-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.
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