Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Eșantionarea online a cazurilor deviante× | Eșantionarea prin Variație Maximă× | |
|---|---|---|
| Domeniu | Metodologia anchetelor | Metodologia anchetelor |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 1990s–2000s (deviant case strategy); online variant ~2000s–2010s | 1985 (Lincoln & Guba); elaborated 1990–2002 (Patton) |
| Autorul original≠ | Patton, M. Q. (deviant case strategy); online adaptation via web-based qualitative research practice | Lincoln & Guba; systematised by Michael Quinn Patton |
| Tip≠ | Purposive qualitative sampling strategy (online variant) | Purposive qualitative sampling strategy |
| Sursa seminală≠ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. [Chapter 5: Purposeful Sampling, deviant/extreme case strategy, pp. 231-234] ISBN: 978-0761919711 | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711 |
| Denumiri alternative | online extreme case sampling, internet-based deviant case sampling, online outlier sampling, web-based atypical case sampling | maximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling |
| Înrudite | 5 | 5 |
| Rezumat≠ | Online deviant case sampling is a purposive qualitative sampling strategy in which the researcher deliberately seeks out and recruits participants who represent extreme, unusual, or outlier instances of the phenomenon under study, using online channels such as forums, social media, specialist communities, or digital registries. It inherits the logic of Patton's deviant (extreme) case sampling and applies it in internet-mediated research contexts where rare or hard-to-reach atypical cases can be located more efficiently than through face-to-face methods. | 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. |
| ScholarGateSet de date ↗ |
|
|