Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Eșantionare intenționată× | Eșantionare prin cotă× | |
|---|---|---|
| Domeniu | Metodologia anchetelor | Metodologia anchetelor |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | Formalized ~1980–1990 | 1930s |
| Autorul original≠ | Michael Quinn Patton (systematic articulation); roots in early qualitative inquiry | Developed in market research and opinion polling, notably applied by George Gallup in the 1930s |
| Tip≠ | Non-probability sampling strategy | Non-probability sampling design |
| Sursa seminală≠ | Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796 | Moser, C. A., & Kalton, G. (1972). Survey Methods in Social Investigation (2nd ed.). Heinemann. ISBN: 978-0435827496 |
| Denumiri alternative≠ | judgmental sampling, selective sampling, criterion-based sampling, purposeful sampling | quota-controlled sampling, quota selection, non-probability quota sampling |
| Înrudite≠ | 4 | 5 |
| Rezumat≠ | Purposive sampling is a non-probability strategy in which the researcher deliberately selects participants, documents, or cases that are information-rich with respect to the research question. Rather than drawing units at random, the researcher applies explicit criteria aligned with the study's purpose, maximising the depth and relevance of the data collected. It is the default sampling logic in most qualitative research designs and is also used in mixed-methods and applied evaluative work. | Quota sampling is a non-probability technique in which the researcher pre-specifies how many units to recruit from each subgroup (quota cell) defined by one or more control variables such as age, gender, or occupation. Interviewers or data collectors then use their own judgment to find and enroll participants until each cell is filled. The method guarantees the sample mirrors the population on the control variables but does not provide the randomness needed for classical statistical inference. |
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