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ΠεδίοΠοιοτικές ΜέθοδοιΠοιοτικές Μέθοδοι
ΟικογένειαProcess / pipelineProcess / pipeline
Έτος προέλευσης2000s–2010sEarly 20th century (Husserl ~1900–1913; Heidegger ~1927)
ΔημιουργόςSynthesised from Harper's photo elicitation (2002) and Braun and Clarke's thematic analysis (2006); applied as an integrated method from the 2010s onwardEdmund Husserl (transcendental); Martin Heidegger (hermeneutic)
ΤύποςQualitative data collection and analysis approachQualitative research approach
Θεμελιώδης πηγήHarper, D. (2002). Talking about pictures: A case for photo elicitation. Visual Studies, 17(1), 13–26. DOI ↗Moustakas, C. (1994). Phenomenological Research Methods. Sage. ISBN: 978-0803957466
Εναλλακτικές ονομασίεςVETA, photo elicitation thematic analysis, image-based thematic analysis, visual-data thematic analysisFenomenoloji, phenomenological inquiry, phenomenological analysis
Συναφείς36
ΣύνοψηVisual elicitation thematic analysis (VETA) is a qualitative method that uses photographs, drawings, or other images as interview stimuli to provoke richer verbal accounts, then subjects those accounts to systematic thematic analysis. By grounding conversation in concrete visual material, the method unlocks meanings, memories, and tacit knowledge that purely verbal questioning often fails to reach. It is widely used in health, education, community, and organisational research.Phenomenology is a qualitative research approach that investigates how participants live through and make sense of a specific experience. Rooted in the philosophy of Edmund Husserl and extended by Martin Heidegger, it aims to reveal the essential structures of lived experience rather than to measure or predict outcomes. The two most widely applied variants are Husserl's transcendental phenomenology, which seeks universal essences, and Heidegger's hermeneutic phenomenology, which emphasises interpretation within context.
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ScholarGateΣύγκριση μεθόδων: Visual Elicitation Thematic Analysis · Phenomenology. Ανακτήθηκε στις 2026-06-19 από https://scholargate.app/el/compare