Possible uses of nonprobability sampling for the social sciences
- This paper compares the usability of data stemming from probability sampling with data stemming from nonprobability sampling. It develops six research scenarios that differ in their research goals and assumptions about the data generating process. It is shown that inferences from data stemming from nonprobability sampling implies demanding assumptions on the homogeneity of the units being studied. Researchers who are not willing to pose these assumptions are generally better off using data from probability sampling, regardless of the amount of nonresponse. However, even in cases when data from probability sampling is clearly advertised, data stemming from nonprobability sampling may contribute to the cumulative scientific endeavour of pinpointing a plausible interval for the parameter of interest.
| Verfasserangaben: | Ulrich KohlerORCiDGND |
|---|---|
| DOI: | https://doi.org/10.13094/SMIF-2019-00014 |
| ISSN: | 2296-4754 |
| Titel des übergeordneten Werks (Englisch): | Survey methods : insights from the field |
| Verlag: | Swiss Found. for Research in Social Sciences |
| Verlagsort: | Lausanne |
| Publikationstyp: | Wissenschaftlicher Artikel |
| Sprache: | Englisch |
| Datum der Erstveröffentlichung: | 02.04.2019 |
| Erscheinungsjahr: | 2019 |
| Datum der Freischaltung: | 27.04.2023 |
| Freies Schlagwort / Tag: | Causal Inference; Descriptive Inference; Fit-for-purpose; Interactions; Nonprobability sample; PATE; Probability sample |
| Seitenanzahl: | 13 |
| Organisationseinheiten: | Wirtschafts- und Sozialwissenschaftliche Fakultät / Sozialwissenschaften / Fachgruppe Soziologie |
| DDC-Klassifikation: | 3 Sozialwissenschaften / 30 Sozialwissenschaften, Soziologie / 301 Soziologie, Anthropologie |
| Peer Review: | Referiert |
| Publikationsweg: | Open Access / Hybrid Open-Access |
| Lizenz (Deutsch): |  CC-BY - Namensnennung 4.0 International |
