Multi-level Maximum Variation Sampling
Multi-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.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. [Chapter 5: Maximum variation sampling and purposeful sampling strategies] · ISBN 978-0761919711
- Bryman, A. (2016). Social Research Methods (5th ed.). Oxford University Press. [Multi-level and purposive sampling in mixed and qualitative designs] · ISBN 978-0198745082
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.