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フィールドベースの理論的サンプリング×意図的サンプリング×スノーボールサンプリング(またはチェーン紹介サンプリング)×
分野調査方法論調査方法論調査方法論
系統Process / pipelineProcess / pipelineProcess / pipeline
提唱年1967Formalized ~1980–19901961
提唱者Barney G. Glaser and Anselm L. StraussMichael Quinn Patton (systematic articulation); roots in early qualitative inquiryLeo A. Goodman
種類Qualitative iterative sampling strategyNon-probability sampling strategyNon-probability sampling technique
原典Glaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine. ISBN: 978-0202302607Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796Goodman, L. A. (1961). Snowball sampling. Annals of Mathematical Statistics, 32(1), 148–170. DOI ↗
別名field theoretical sampling, in-situ theoretical sampling, fieldwork-driven theoretical sampling, grounded field samplingjudgmental sampling, selective sampling, criterion-based sampling, purposeful samplingchain-referral sampling, network sampling, respondent-driven sampling, referral sampling
関連343
概要Field-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.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.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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ScholarGate手法を比較: Field-based theoretical sampling · Purposive sampling · Snowball Sampling. 2026-06-17に以下より取得 https://scholargate.app/ja/compare