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数字叙事研究×主题分析×
领域质性质性研究
方法族Process / pipelineProcess / pipeline
起源年份Mid-1990s (practice); 2000s (formalised as research methodology)2006
提出者Joe Lambert & Dana Atchley (Center for Digital Storytelling, Berkeley); theorised in research contexts by John Hartley, Kathy McWilliam, and Michele KnobelVirginia Braun and Victoria Clarke
类型Qualitative research designMethod
开创性文献Lambert, J. (2013). Digital Storytelling: Capturing Lives, Creating Community (4th ed.). Routledge. ISBN: 978-0415627030Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗
别名digital storytelling research, DNR, digital narrative inquiry, digital story-based researchTA, Reflexive Thematic Analysis
相关43
摘要Digital Narrative Research is a qualitative methodology in which participants create or share short digital stories — typically combining personal voice-over, photographs, video, and text — that become the primary data for inquiry. Originating in community digital-storytelling practice developed at the Center for Digital Storytelling in Berkeley in the 1990s, the approach has been adopted widely in education, health, social work, and participatory action research to surface voices and experiences that are difficult to capture through interviews or surveys alone.Thematic Analysis (TA) is a qualitative research methodology for identifying, analyzing, and reporting patterns (themes) in qualitative data. Developed systematically by Virginia Braun and Victoria Clarke (2006), TA is flexible and accessible, applicable across diverse theoretical frameworks and data types, making it one of the most widely used qualitative methods in psychology, health research, and social sciences.
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ScholarGate方法对比: Digital Narrative Research · Thematic Analysis. 于 2026-06-19 检索自 https://scholargate.app/zh/compare