Methoden vergleichen

	Adaptive Maximum Variation Sampling	Maximum Variation Sampling
Fachgebiet	Umfragemethodik	Umfragemethodik
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	1990s–2000s (practice codified in qualitative methods literature)	1985 (Lincoln & Guba); elaborated 1990–2002 (Patton)
Urheber	Synthesizes Patton (maximum variation) and Thompson (adaptive sampling)	Lincoln & Guba; systematised by Michael Quinn Patton
Typ	Adaptive purposive qualitative sampling strategy	Purposive qualitative sampling strategy
Wegweisende Quelle	Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. [Maximum variation sampling, pp. 169–183] ISBN: 978-0803937796	Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711
Aliasnamen	adaptive purposive maximum variation sampling, iterative maximum variation sampling, adaptive heterogeneous sampling, AMVS	maximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling
Verwandt	5	5
Zusammenfassung	Adaptive maximum variation sampling is a purposive qualitative sampling strategy that combines the logic of maximum variation sampling — deliberately selecting cases that differ as widely as possible on key dimensions — with an adaptive, iterative recruitment process. Rather than fixing the full sample in advance, the researcher continuously reviews emerging data to identify which types of cases are underrepresented and recruits new participants to fill those gaps, maximizing heterogeneity throughout data collection.	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.