مقایسهٔ روش‌ها

روش‌های انتخابی خود را کنار هم مرور کنید؛ ردیف‌های متفاوت برجسته شده‌اند.

نمونه‌گیری موردی تیپیک مبتنی بر میدان×نمونه‌گیری حداکثر تنوع×
حوزهروش‌شناسی پیمایشروش‌شناسی پیمایش
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش1980s–1990s1985 (Lincoln & Guba); elaborated 1990–2002 (Patton)
پدیدآورMichael Quinn Patton; Miles & HubermanLincoln & Guba; systematised by Michael Quinn Patton
نوعPurposive qualitative sampling strategyPurposive qualitative sampling strategy
منبع بنیادینPatton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage Publications. ISBN: 978-0761919711Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711
نام‌های دیگرfield typical case sampling, in-person typical case sampling, fieldwork typical case selection, on-site typical case samplingmaximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling
مرتبط55
خلاصهField-based typical case sampling is a purposive qualitative strategy in which the researcher selects and studies cases that represent the ordinary, average, or most common instance of a phenomenon — and conducts data collection through direct fieldwork such as in-person observation, site visits, and face-to-face interviews. The combination ensures that findings portray what the phenomenon looks like under real-world, everyday conditions rather than through self-reports or online proxies.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.
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ScholarGateمقایسهٔ روش‌ها: Field-based typical case sampling · Maximum Variation Sampling. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare