Process / pipelineSampling

Field-based Maximum Variation Sampling — Capturing Diversity Across Field Sites

Field-based maximum variation sampling is a purposive strategy in which a researcher deliberately selects field sites, ecological plots, communities, or observational units that span the widest possible range of relevant characteristics. By maximising heterogeneity among selected units, the approach ensures that both common patterns shared across diverse conditions and unique features specific to particular contexts are documented, making findings robust across a broad spectrum of real-world variation.

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Sources

  1. Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. [Maximum variation sampling discussed in Chapter 5] ISBN: 978-0761919711
  2. Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. DOI: 10.11648/j.ajtas.20160501.11

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Referenced by

ScholarGateField-based maximum variation sampling (Field-based Maximum Variation Sampling). Retrieved 2026-06-04 from https://scholargate.app/en/survey-methodology/field-based-maximum-variation-sampling