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حوزهروش‌شناسی پیمایشروش‌شناسی پیمایشروش‌شناسی پیمایش
خانوادهProcess / pipelineProcess / pipelineProcess / pipeline
سال پیدایش19671985 (Lincoln & Guba); elaborated 1990–2002 (Patton)1961
پدیدآورBarney G. Glaser and Anselm L. StraussLincoln & Guba; systematised by Michael Quinn PattonLeo A. Goodman
نوعQualitative iterative sampling strategyPurposive qualitative sampling strategyNon-probability sampling technique
منبع بنیادینGlaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine. ISBN: 978-0202302607Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711Goodman, L. A. (1961). Snowball sampling. Annals of Mathematical Statistics, 32(1), 148–170. DOI ↗
نام‌های دیگرfield theoretical sampling, in-situ theoretical sampling, fieldwork-driven theoretical sampling, grounded field samplingmaximum variation sampling, maximum diversity sampling, MVS, heterogeneous samplingchain-referral sampling, network sampling, respondent-driven sampling, referral sampling
مرتبط353
خلاصهField-based theoretical sampling is an iterative qualitative sampling strategy in which decisions about whom to observe or interview next are made during active fieldwork, guided by emerging theoretical insights from the data already collected. Rooted in Glaser and Strauss's grounded theory, it extends theoretical sampling into naturalistic, in-situ field settings — ethnographic sites, clinical environments, organizational contexts — where data collection and analysis proceed simultaneously.Maximum variation sampling is a purposive qualitative sampling strategy in which the researcher deliberately selects cases that span the widest possible range of variation on dimensions central to the study. The goal is not statistical representation but the identification of common patterns that cut across diverse cases as well as the documentation of the unique ways each context shapes the phenomenon under investigation.Snowball sampling is a non-probability recruitment technique in which initial participants (seeds) refer the researcher to others who meet the study criteria, and those referrals in turn refer further participants. The sample grows incrementally — like a rolling snowball — until the required size or theoretical saturation is reached. It is the method of choice when a target population has no accessible sampling frame, such as undocumented migrants, illicit drug users, survivors of stigmatised experiences, or members of closed professional networks.
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ScholarGateمقایسهٔ روش‌ها: Field-based theoretical sampling · Maximum Variation Sampling · Snowball Sampling. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare