Dossier de preuve de méthode

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

Dossier source

Citations copiées telles quelles du dossier source de la méthode. Aucune vérification au niveau de la revendication n'en est déduite.

Adaptive Maximum Variation Purposive Sampling

Dossier de méthode taxonomique · 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

Ouvrir la méthode complète

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Méthodes apparentées

Généré à partir du graphe de méthodes et présenté comme des relations suggérées par la machine — aucune revendication de preuve n'est déduite.

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.