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Amostragem Intencional Baseada em Análise de Sensibilidade×Amostragem por Variação Máxima×
ÁreaMetodologia de surveyMetodologia de survey
FamíliaProcess / pipelineProcess / pipeline
Ano de origem1990s–2000s1985 (Lincoln & Guba); elaborated 1990–2002 (Patton)
Autor originalRooted in Patton's purposive sampling typology; sensitivity analysis practices formalized in research synthesis literatureLincoln & Guba; systematised by Michael Quinn Patton
TipoPurposive qualitative sampling with robustness verificationPurposive qualitative sampling strategy
Fonte seminalPatton, M. Q. (2015). Qualitative Research and Evaluation Methods (4th ed.). Sage Publications. ISBN: 978-1412972123Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711
Outros nomespurposive sampling with sensitivity checks, robust purposive sampling, sensitivity-tested purposive selectionmaximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling
Relacionados55
ResumoSensitivity analysis-based purposive sampling extends conventional purposive sampling by systematically testing whether key findings or case-selection decisions change when the inclusion criteria, selection logic, or boundary conditions are altered. It applies the logic of sensitivity analysis — standard in quantitative research and systematic reviews — to qualitative case selection, giving researchers explicit evidence of how robust their purposive choices are to plausible alternative selection rules.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.
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ScholarGateComparar métodos: Sensitivity Analysis-Based Purposive Sampling · Maximum Variation Sampling. Recuperado em 2026-06-15 de https://scholargate.app/pt/compare