방법 증거 기록

Field-based maximum variation sampling

Field-based maximum variation sampling is a purposive strategy in which a researcher deliberately selects field sites, ecological plots, communities, or observational units that span the widest possible range of relevant characteristics. By maximising heterogeneity among selected units, the approach ensures that both common patterns shared across diverse conditions and unique features specific to particular contexts are documented, making findings robust across a broad spectrum of real-world variation.

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원본 기록

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Field-based Maximum Variation Sampling

분류학적 방법 기록 · process-pipeline / survey-methodology

Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. [Maximum variation sampling discussed in Chapter 5] · ISBN 978-0761919711
Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. · DOI 10.11648/j.ajtas.20160501.11

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관련 방법

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Taxonomic bucketDeviant Case Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketField-based cluster samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketField-based Stratified Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMaximum Variation Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPurposive samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketTypical Case Samplingmachine-suggested · Relational suggestion, not evidence.