เปรียบเทียบวิธี

	การวิเคราะห์ปรากฏการณ์วิทยาเชิงตีความแบบดิจิทัล	เน็ตโนกราฟี
สาขาวิชา	เชิงคุณภาพ	เชิงคุณภาพ
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	IPA founded ~1996; digital variant established practice ~2010–2020	1997 (coined); 2010 (first comprehensive methodology book)
ผู้ริเริ่ม	Jonathan A. Smith (IPA); adapted to digital contexts by qualitative internet researchers from ~2010s onward	Robert V. Kozinets
ประเภท	Qualitative research design and analytic approach	Qualitative research method
แหล่งต้นตำรับ	Smith, J. A., Flowers, P., & Larkin, M. (2009). Interpretative Phenomenological Analysis: Theory, Method and Research. Sage. ISBN: 978-1412908344	Kozinets, R. V. (2010). Netnography: Doing Ethnographic Research Online. Sage. ISBN: 978-1847875907
ชื่อเรียกอื่น	Digital IPA, online IPA, digital-mediated IPA, internet-based interpretive phenomenological analysis	online ethnography, virtual ethnography, cyber-ethnography, digital ethnography
ที่เกี่ยวข้อง	5	6
สรุป	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.	Netnography is a qualitative research method that adapts the principles of cultural ethnography to the study of online communities and social media environments. Coined by Robert Kozinets in 1997 and systematised in his 2010 handbook, netnography treats digital spaces — forums, social networks, blogs, review sites — as naturally occurring field sites where communities gather, share meanings, and construct identities. The method combines unobtrusive observation of digital traces with active participation and, where appropriate, direct member interaction.