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Vícestupňový výběr s maximální variací×Maximální výběrové zkoušení×
OborMetodologie dotazníkových šetřeníMetodologie dotazníkových šetření
RodinaProcess / pipelineProcess / pipeline
Rok vzniku1990s–2000s1985 (Lincoln & Guba); elaborated 1990–2002 (Patton)
TvůrceSynthesized from Patton's maximum variation sampling (1990) and multi-level survey design traditionsLincoln & Guba; systematised by Michael Quinn Patton
TypPurposive qualitative/mixed-methods sampling designPurposive qualitative sampling strategy
Původní zdrojPatton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. [Chapter 5: Maximum variation sampling and purposeful sampling strategies] ISBN: 978-0761919711Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711
Další názvyhierarchical maximum variation sampling, nested maximum diversity sampling, multi-tier purposive variation sampling, MLMVSmaximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling
Příbuzné55
ShrnutíMulti-level maximum variation sampling is a purposive strategy that deliberately selects cases at two or more nested organizational levels — such as schools within districts, or patients within clinics — while maximizing heterogeneity on key dimensions at each level. The aim is to capture the full range of variation within a hierarchically structured population so that patterns common across diverse contexts can be identified and context-specific differences can be documented with credibility.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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ScholarGatePorovnat metody: Multi-level Maximum Variation Sampling · Maximum Variation Sampling. Získáno 2026-06-15 z https://scholargate.app/cs/compare