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Campionament intencionat proporcional×Campionament per quotes×
CampMetodologia d'enquestesMetodologia d'enquestes
FamíliaProcess / pipelineProcess / pipeline
Any d'origen1980s–2000s1930s
Autor originalDerived from purposive sampling tradition (Patton); formalized in mixed-methods literatureDeveloped in market research and opinion polling, notably applied by George Gallup in the 1930s
TipusNon-probability sampling with proportional allocationNon-probability sampling design
Font seminalPatton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage Publications. ISBN: 978-0761919711Moser, C. A., & Kalton, G. (1972). Survey Methods in Social Investigation (2nd ed.). Heinemann. ISBN: 978-0435827496
Àliesproportional criterion sampling, quota-proportional purposive sampling, representational purposive samplingquota-controlled sampling, quota selection, non-probability quota sampling
Relacionats45
ResumProportional purposive sampling combines the intentional case selection of purposive sampling with proportional allocation across subgroups. Researchers first determine how each meaningful subgroup (e.g., gender, school type, professional role) is represented in the population, then deliberately select participants from each subgroup in those same proportions — using purposive judgment to ensure each selected case is information-rich and relevant to the research question.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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ScholarGateCompara mètodes: Proportional Purposive Sampling · Quota Sampling. Recuperat el 2026-06-18 de https://scholargate.app/ca/compare