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Amostra por Quotas×Amostragem Intencional×
ÁreaMetodologia de surveyMetodologia de survey
FamíliaProcess / pipelineProcess / pipeline
Ano de origem1930sFormalized ~1980–1990
Autor originalDeveloped in market research and opinion polling, notably applied by George Gallup in the 1930sMichael Quinn Patton (systematic articulation); roots in early qualitative inquiry
TipoNon-probability sampling designNon-probability sampling strategy
Fonte seminalMoser, C. A., & Kalton, G. (1972). Survey Methods in Social Investigation (2nd ed.). Heinemann. ISBN: 978-0435827496Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796
Outros nomesquota-controlled sampling, quota selection, non-probability quota samplingjudgmental sampling, selective sampling, criterion-based sampling, purposeful sampling
Relacionados54
ResumoQuota 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.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.
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ScholarGateComparar métodos: Quota Sampling · Purposive sampling. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare