قارن الطرق

	أخذ العينات للحالات النموذجية المرجحة	أخذ العينات ذو التباين الأقصى
المجال	منهجية المسح	منهجية المسح
العائلة	Process / pipeline	Process / pipeline
سنة النشأة	1990s–2000s (as a mixed-methods extension)	1985 (Lincoln & Guba); elaborated 1990–2002 (Patton)
صاحب الطريقة	Derived from Patton's typical case sampling (1990) combined with classical survey weighting principles	Lincoln & Guba; systematised by Michael Quinn Patton
النوع	Purposive sampling with probability weighting	Purposive qualitative sampling strategy
المصدر التأسيسي	Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. pp. 236–238 (typical case sampling). ISBN: 978-0761919711	Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711
الأسماء البديلة	weighted purposive typical sampling, probability-weighted typical case selection, typical case sampling with weighting, weighted representative case sampling	maximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling
ذات صلة	6	5
الملخص	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.	Maximum variation sampling is a purposive qualitative sampling strategy in which the researcher deliberately selects cases that span the widest possible range of variation on dimensions central to the study. The goal is not statistical representation but the identification of common patterns that cut across diverse cases as well as the documentation of the unique ways each context shapes the phenomenon under investigation.