방법 증거 기록

Weighted Typical Case Sampling

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.

Sources recorded, not reviewed

원본 기록

방법의 원본 기록에서 그대로 복사된 인용입니다. 이로부터 수준별 검증이 추론되지 않습니다.

분류학적 방법 기록 · process-pipeline / survey-methodology

Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. pp. 236–238 (typical case sampling). · ISBN 978-0761919711
Kalton, G. (1983). Introduction to Survey Sampling. Sage. (weighting and probability adjustment principles). · ISBN 978-0803921269

전체 방법 열기

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관련 방법

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Taxonomic bucketMaximum Variation Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPurposive samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketQuota Samplingmachine-suggested · Relational suggestion, not evidence.Same method familyStratified Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketTypical Case Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketWeighted Samplingmachine-suggested · Relational suggestion, not evidence.