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분야조사방법론조사방법론
계열Process / pipelineProcess / pipeline
기원 연도Mid-20th century onwardFormalized ~1980–1990
창시자Developed within mainstream sampling methodology; no single originatorMichael Quinn Patton (systematic articulation); roots in early qualitative inquiry
유형Non-probability sampling with proportional allocation constraintNon-probability sampling strategy
원전Etikan, 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
별칭quota-constrained convenience sampling, representative convenience sampling, proportionate accidental sampling, PCSjudgmental sampling, selective sampling, criterion-based sampling, purposeful sampling
관련44
요약Proportional 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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ScholarGate방법 비교: Proportional Convenience Sampling · Purposive sampling. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare