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Visuel Elicitation Tematisk Analyse×Narrativ Analyse×
FagområdeKvalitativKvalitativ
FamilieProcess / pipelineProcess / pipeline
Oprindelsesår2000s–2010s1967 (foundational); 2008 (canonical handbook)
OphavspersonSynthesised from Harper's photo elicitation (2002) and Braun and Clarke's thematic analysis (2006); applied as an integrated method from the 2010s onwardCatherine Kohler Riessman (seminal synthesis, 2008); roots in Labov & Waletzky (1967)
TypeQualitative data collection and analysis approachQualitative interpretive method
Oprindelig kildeHarper, D. (2002). Talking about pictures: A case for photo elicitation. Visual Studies, 17(1), 13–26. DOI ↗Riessman, C.K. (2008). Narrative Methods for the Human Sciences. Sage. link ↗
AliasserVETA, photo elicitation thematic analysis, image-based thematic analysis, visual-data thematic analysisnarrative inquiry, life history analysis, biographical research, Anlatı Analizi (Narrative Analysis)
Relaterede36
ResuméVisual 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.Narrative analysis is a qualitative research method, synthesised canonically by Catherine Kohler Riessman (2008), that examines how individuals storise their lived experiences and construct meaning through the telling. Drawing on life history, biographical, and narrative inquiry traditions, it treats the story itself — not just its content — as the unit of analysis, attending to temporal sequence, plot structure, and the social context in which a narrative is produced.
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ScholarGateSammenlign metoder: Visual Elicitation Thematic Analysis · Narrative Analysis. Hentet 2026-06-17 fra https://scholargate.app/da/compare