Dossier de preuve de méthode

Digital Interpretive phenomenological analysis

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.

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Digital Interpretive Phenomenological Analysis

Dossier de méthode taxonomique · process-pipeline / qualitative

Smith, J. A., Flowers, P., & Larkin, M. (2009). Interpretative Phenomenological Analysis: Theory, Method and Research. Sage. · ISBN 978-1412908344
Salmons, J. (2015). Qualitative Online Interviews: Strategies, Design and Skills (2nd ed.). Sage. · ISBN 978-1483332284

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Méthodes apparentées

Généré à partir du graphe de méthodes et présenté comme des relations suggérées par la machine — aucune revendication de preuve n'est déduite.

Same method familyDigital Ethnographymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDigital Hermeneutic Phenomenologymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDigital Narrative Researchmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketInterpretive phenomenologymachine-suggested · Relational suggestion, not evidence.Same method familyNetnographymachine-suggested · Relational suggestion, not evidence.