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Sensitivitätsanalyse-basierte zweckgebundene Stichprobenziehung×Maximum Variation Sampling×
FachgebietUmfragemethodikUmfragemethodik
FamilieProcess / pipelineProcess / pipeline
Entstehungsjahr1990s–2000s1985 (Lincoln & Guba); elaborated 1990–2002 (Patton)
UrheberRooted in Patton's purposive sampling typology; sensitivity analysis practices formalized in research synthesis literatureLincoln & Guba; systematised by Michael Quinn Patton
TypPurposive qualitative sampling with robustness verificationPurposive qualitative sampling strategy
Wegweisende QuellePatton, 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
Aliasnamenpurposive sampling with sensitivity checks, robust purposive sampling, sensitivity-tested purposive selectionmaximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling
Verwandt55
ZusammenfassungSensitivity 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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ScholarGateMethoden vergleichen: Sensitivity Analysis-Based Purposive Sampling · Maximum Variation Sampling. Abgerufen am 2026-06-15 von https://scholargate.app/de/compare