পদ্ধতির তুলনা করুন

	Weighted Typical Case Sampling	সর্বোচ্চ বৈচিত্র্য নমুনায়ন
ক্ষেত্র	জরিপ পদ্ধতি	জরিপ পদ্ধতি
পরিবার	Process / pipeline	Process / pipeline
উদ্ভবের বছর	1990s–2000s (as a mixed-methods extension)	1985 (Lincoln & Guba); elaborated 1990–2002 (Patton)
প্রবর্তক	Derived from Patton's typical case sampling (1990) combined with classical survey weighting principles	Lincoln & Guba; systematised by Michael Quinn Patton
ধরন	Purposive sampling with probability weighting	Purposive qualitative sampling strategy
মৌলিক উৎস	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
অপর নাম	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
সম্পর্কিত	6	5
সারসংক্ষেপ	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.