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加重典型ケースサンプリング×割当サンプリング×
分野調査方法論調査方法論
系統Process / pipelineProcess / pipeline
提唱年1990s–2000s (as a mixed-methods extension)1930s
提唱者Derived from Patton's typical case sampling (1990) combined with classical survey weighting principlesDeveloped in market research and opinion polling, notably applied by George Gallup in the 1930s
種類Purposive sampling with probability weightingNon-probability sampling design
原典Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. pp. 236–238 (typical case sampling). ISBN: 978-0761919711Moser, C. A., & Kalton, G. (1972). Survey Methods in Social Investigation (2nd ed.). Heinemann. ISBN: 978-0435827496
別名weighted purposive typical sampling, probability-weighted typical case selection, typical case sampling with weighting, weighted representative case samplingquota-controlled sampling, quota selection, non-probability quota sampling
関連65
概要Weighted typical case sampling combines the purposive logic of typical case selection — choosing cases that represent the modal, average, or most common profile of a population — with post-selection probability weighting. The result is a sample that is both substantively representative (cases reflect the norm) and statistically corrected for differential selection probabilities or population structure. It is used in mixed-methods and survey research where depth of typical examples matters alongside inferential accuracy.Quota sampling is a non-probability technique in which the researcher pre-specifies how many units to recruit from each subgroup (quota cell) defined by one or more control variables such as age, gender, or occupation. Interviewers or data collectors then use their own judgment to find and enroll participants until each cell is filled. The method guarantees the sample mirrors the population on the control variables but does not provide the randomness needed for classical statistical inference.
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ScholarGate手法を比較: Weighted Typical Case Sampling · Quota Sampling. 2026-06-17に以下より取得 https://scholargate.app/ja/compare