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フィールドベース最大多様性サンプリング×フィールドベース・クラスターサンプリング×
分野調査方法論調査方法論
系統Process / pipelineProcess / pipeline
提唱年1990 (Patton); field application established through ecological and ethnographic practice in the 1990s–2000s1950s (theory); 1970s–1980s (field survey practice)
提唱者Michael Quinn Patton (maximum variation sampling); adapted for field research contextsWilliam G. Cochran (theoretical foundations); WHO EPI programme (field application)
種類Purposive qualitative/mixed-methods sampling strategyProbability sampling design
原典Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. [Maximum variation sampling discussed in Chapter 5] ISBN: 978-0761919711World Health Organization. (1991). Training for mid-level managers: The EPI coverage survey. WHO/EPI/MLM/91.10. World Health Organization. link ↗
別名field MVS, field-based purposeful maximum variation, maximum heterogeneity field sampling, diverse case field samplingfield cluster sampling, in-field cluster sampling, area cluster sampling (field), field survey cluster design
関連66
概要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.Field-based cluster sampling is a probability sampling method in which naturally occurring geographic or administrative groups (clusters) are first randomly selected, and then data are collected in person from units within those clusters. It is the standard design for large-scale field surveys in public health, agriculture, education, and humanitarian response, where compiling a full population list is impractical but clusters such as villages, schools, or census tracts can be identified and physically accessed.
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ScholarGate手法を比較: Field-based maximum variation sampling · Field-based cluster sampling. 2026-06-15に以下より取得 https://scholargate.app/ja/compare