ScholarGate
Asistente

Comparar métodos

Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.

Muestreo de máxima variación basado en campo×Muestreo Intencional×
CampoMetodología de encuestasMetodología de encuestas
FamiliaProcess / pipelineProcess / pipeline
Año de origen1990 (Patton); field application established through ecological and ethnographic practice in the 1990s–2000sFormalized ~1980–1990
Autor originalMichael Quinn Patton (maximum variation sampling); adapted for field research contextsMichael Quinn Patton (systematic articulation); roots in early qualitative inquiry
TipoPurposive qualitative/mixed-methods sampling strategyNon-probability sampling strategy
Fuente seminalPatton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. [Maximum variation sampling discussed in Chapter 5] ISBN: 978-0761919711Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796
Aliasfield MVS, field-based purposeful maximum variation, maximum heterogeneity field sampling, diverse case field samplingjudgmental sampling, selective sampling, criterion-based sampling, purposeful sampling
Relacionados64
ResumenField-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.Purposive sampling is a non-probability strategy in which the researcher deliberately selects participants, documents, or cases that are information-rich with respect to the research question. Rather than drawing units at random, the researcher applies explicit criteria aligned with the study's purpose, maximising the depth and relevance of the data collected. It is the default sampling logic in most qualitative research designs and is also used in mixed-methods and applied evaluative work.
ScholarGateConjunto de datos
  1. v1
  2. 2 Fuentes
  3. PUBLISHED
  1. v1
  2. 2 Fuentes
  3. PUBLISHED

Ir a la búsqueda Descargar diapositivas

ScholarGateComparar métodos: Field-based maximum variation sampling · Purposive sampling. Recuperado el 2026-06-15 de https://scholargate.app/es/compare