Confronta i metodi
Esamina i metodi selezionati fianco a fianco; le righe che differiscono sono evidenziate.
| Campionamento intenzionale online× | Campionamento a Variazione Massima× | |
|---|---|---|
| Campo | Metodologia delle indagini | Metodologia delle indagini |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 1990s–2000s (with growth of internet-based research) | 1985 (Lincoln & Guba); elaborated 1990–2002 (Patton) |
| Ideatore≠ | Adaptation of purposive sampling (Patton, 1987) to online/digital research contexts | Lincoln & Guba; systematised by Michael Quinn Patton |
| Tipo≠ | Non-probability qualitative sampling | Purposive qualitative sampling strategy |
| Fonte seminale≠ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage Publications. ISBN: 978-0761919711 | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711 |
| Alias | internet-based purposive sampling, web purposive sampling, online criterion-based sampling, digital purposive sampling | maximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling |
| Correlati≠ | 3 | 5 |
| Sintesi≠ | Online purposive sampling applies the logic of criterion-based participant selection to digital recruitment channels — including social media platforms, online communities, email lists, and research recruitment websites. Researchers intentionally seek individuals who possess the characteristics, experiences, or expertise directly relevant to the research question, using internet-based tools to locate and screen them. The method preserves the defining feature of purposive sampling — deliberate selection based on fitness for purpose — while leveraging the reach and accessibility of online environments. | 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. |
| ScholarGateInsieme di dati ↗ |
|
|