Rekodi ya ushahidi wa mbinu

Adaptive Maximum Variation Sampling

Adaptive maximum variation sampling is a purposive qualitative sampling strategy that combines the logic of maximum variation sampling — deliberately selecting cases that differ as widely as possible on key dimensions — with an adaptive, iterative recruitment process. Rather than fixing the full sample in advance, the researcher continuously reviews emerging data to identify which types of cases are underrepresented and recruits new participants to fill those gaps, maximizing heterogeneity throughout data collection.

Sources recorded, not reviewed

Rekodi ya chanzo

Nukuu zimehamishwa kwa uhalisi kutoka kwa rekodi ya chanzo cha mbinu. Hakuna uthibitisho wa kiwango cha dai unaodokezwa kutoka kwao.

Adaptive Maximum Variation Purposive Sampling

Rekodi ya mbinu ya kiajenda · process-pipeline / survey-methodology

Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. [Maximum variation sampling, pp. 169–183] · ISBN 978-0803937796
Thompson, S. K. (1990). Adaptive cluster sampling. Journal of the American Statistical Association, 85(412), 1050–1059. · DOI 10.2307/2289601

Fungua mbinu kamili

Madai yaliyotunzwa

Madai yamehifadhiwa katika daftari la ushahidi, kila moja ikiwa na tathmini yake.

Hakuna madai yaliyotunzwa bado

Mwonekano huu haubuni tathmini ya dai wakati daftari haina yoyote.

Mbinu zinazohusiana

Zilizotengenezwa kutoka kwa grafu ya mbinu na kuonyeshwa kama uhusiano uliopendekezwa na mashine — hakuna dai la ushahidi linalodokezwa.

Taxonomic bucketAdaptive Cluster Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketAdaptive Stratified Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMaximum Variation Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPurposive samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSnowball Samplingmachine-suggested · Relational suggestion, not evidence.