Comparar métodos

	Muestreo de máxima variación basado en campo	Muestreo de casos desviados
Campo	Metodología de encuestas	Metodología de encuestas
Familia	Process / pipeline	Process / pipeline
Año de origen	1990 (Patton); field application established through ecological and ethnographic practice in the 1990s–2000s	1990
Autor original	Michael Quinn Patton (maximum variation sampling); adapted for field research contexts	Michael Quinn Patton
Tipo	Purposive qualitative/mixed-methods sampling strategy	Purposive qualitative sampling strategy
Fuente seminal	Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. [Maximum variation sampling discussed in Chapter 5] ISBN: 978-0761919711	Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage Publications. ISBN: 978-0761919711
Alias	field MVS, field-based purposeful maximum variation, maximum heterogeneity field sampling, diverse case field sampling	extreme case sampling, outlier sampling, negative case sampling, deviant-case selection
Relacionados	6	5
Resumen	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.	Deviant case sampling is a purposive qualitative sampling strategy in which the researcher intentionally selects cases that are unusual, exceptional, or markedly different from the norm — outliers, extreme successes, or conspicuous failures. The goal is not statistical representation but deep learning from cases that illuminate the boundaries of a phenomenon, challenge prevailing assumptions, or reveal processes that typical cases obscure.