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方法族Process / pipelineProcess / pipeline
起源年份1967 (theoretical sampling); online adaptation ~2000s–2010s1990s–2000s (with growth of internet-based research)
提出者Glaser & Strauss (theoretical sampling); adapted to online contexts by internet qualitative researchersAdaptation of purposive sampling (Patton, 1987) to online/digital research contexts
类型Qualitative sampling strategyNon-probability qualitative sampling
开创性文献Glaser, 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 Publications. ISBN: 978-0761919711
别名internet-based theoretical sampling, digital theoretical sampling, web-based theoretical samplinginternet-based purposive sampling, web purposive sampling, online criterion-based sampling, digital purposive sampling
相关43
摘要Online theoretical sampling applies the logic of theoretical sampling — selecting participants or data sources based on emerging theory rather than predetermined criteria — within digital environments. Researchers iteratively recruit from online communities, forums, social media, or virtual networks, guided at each step by conceptual gaps identified during concurrent analysis. It is most commonly used in grounded theory studies conducted wholly or partially over the internet.Online purposive sampling applies the logic of criterion-based participant selection to digital recruitment channels — including social media platforms, online communities, email lists, and research recruitment websites. Researchers intentionally seek individuals who possess the characteristics, experiences, or expertise directly relevant to the research question, using internet-based tools to locate and screen them. The method preserves the defining feature of purposive sampling — deliberate selection based on fitness for purpose — while leveraging the reach and accessibility of online environments.
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ScholarGate方法对比: Online theoretical sampling · Online Purposive Sampling. 于 2026-06-18 检索自 https://scholargate.app/zh/compare