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Vizuálně podněcovaná tematická analýza×Fenomenologie×
OborKvalitativní metodyKvalitativní metody
RodinaProcess / pipelineProcess / pipeline
Rok vzniku2000s–2010sEarly 20th century (Husserl ~1900–1913; Heidegger ~1927)
TvůrceSynthesised 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)
TypQualitative data collection and analysis approachQualitative research approach
Původní zdrojHarper, 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
Další názvyVETA, photo elicitation thematic analysis, image-based thematic analysis, visual-data thematic analysisFenomenoloji, phenomenological inquiry, phenomenological analysis
Příbuzné36
ShrnutíVisual 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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ScholarGatePorovnat metody: Visual Elicitation Thematic Analysis · Phenomenology. Získáno 2026-06-19 z https://scholargate.app/cs/compare