Сравнение методов

	Цифровой интерпретативный феноменологический анализ	Цифровое нарративное исследование
Область	Качественные методы	Качественные методы
Семейство	Process / pipeline	Process / pipeline
Год появления	IPA founded ~1996; digital variant established practice ~2010–2020	Mid-1990s (practice); 2000s (formalised as research methodology)
Автор метода	Jonathan A. Smith (IPA); adapted to digital contexts by qualitative internet researchers from ~2010s onward	Joe Lambert & Dana Atchley (Center for Digital Storytelling, Berkeley); theorised in research contexts by John Hartley, Kathy McWilliam, and Michele Knobel
Тип	Qualitative research design and analytic approach	Qualitative research design
Основополагающий источник	Smith, J. A., Flowers, P., & Larkin, M. (2009). Interpretative Phenomenological Analysis: Theory, Method and Research. Sage. ISBN: 978-1412908344	Lambert, J. (2013). Digital Storytelling: Capturing Lives, Creating Community (4th ed.). Routledge. ISBN: 978-0415627030
Другие названия	Digital IPA, online IPA, digital-mediated IPA, internet-based interpretive phenomenological analysis	digital storytelling research, DNR, digital narrative inquiry, digital story-based research
Связанные	5	4
Сводка	Digital Interpretive Phenomenological Analysis (Digital IPA) applies the rigorous IPA framework — originally developed by Jonathan Smith to explore how individuals make sense of significant lived experiences — within digital data-collection environments. Participants are recruited and interviewed online (via video call, synchronous text chat, email, or digital diary), and the resulting transcripts and digital texts are analysed through the same close-reading, emergent-coding, and cross-case patterning procedures that define standard IPA. The digital setting both expands access to geographically dispersed or hard-to-reach participants and introduces distinct methodological considerations around rapport, embodied cues, and data authenticity.	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.