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Mostra de conveniència proporcional×Campionament intencionat×
CampMetodologia d'enquestesMetodologia d'enquestes
FamíliaProcess / pipelineProcess / pipeline
Any d'origenMid-20th century onwardFormalized ~1980–1990
Autor originalDeveloped within mainstream sampling methodology; no single originatorMichael Quinn Patton (systematic articulation); roots in early qualitative inquiry
TipusNon-probability sampling with proportional allocation constraintNon-probability sampling strategy
Font seminalEtikan, I., & Bala, K. (2017). Sampling and sampling methods. Biometrics & Biostatistics International Journal, 5(6), 215–217. link ↗Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796
Àliesquota-constrained convenience sampling, representative convenience sampling, proportionate accidental sampling, PCSjudgmental sampling, selective sampling, criterion-based sampling, purposeful sampling
Relacionats44
ResumProportional convenience sampling is a non-probability technique that recruits participants through convenience while constraining each subgroup's share in the final sample to match its known proportion in the target population. It trades pure random selection for feasibility, but partially compensates by ensuring the sample's compositional profile mirrors the population on one or more key variables such as gender, age group, or academic year.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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ScholarGateCompara mètodes: Proportional Convenience Sampling · Purposive sampling. Recuperat el 2026-06-18 de https://scholargate.app/ca/compare