Methoden vergleichen

	Digitale Erzählforschung	Thematische Analyse
Fachgebiet	Qualitativ	Qualitative Forschung
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	Mid-1990s (practice); 2000s (formalised as research methodology)	2006
Urheber	Joe Lambert & Dana Atchley (Center for Digital Storytelling, Berkeley); theorised in research contexts by John Hartley, Kathy McWilliam, and Michele Knobel	Virginia Braun and Victoria Clarke
Typ	Qualitative research design	Method
Wegweisende Quelle	Lambert, J. (2013). Digital Storytelling: Capturing Lives, Creating Community (4th ed.). Routledge. ISBN: 978-0415627030	Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
Aliasnamen	digital storytelling research, DNR, digital narrative inquiry, digital story-based research	TA, Reflexive Thematic Analysis
Verwandt	4	3
Zusammenfassung	Digital Narrative Research is a qualitative methodology in which participants create or share short digital stories — typically combining personal voice-over, photographs, video, and text — that become the primary data for inquiry. Originating in community digital-storytelling practice developed at the Center for Digital Storytelling in Berkeley in the 1990s, the approach has been adopted widely in education, health, social work, and participatory action research to surface voices and experiences that are difficult to capture through interviews or surveys alone.	Thematic Analysis (TA) is a qualitative research methodology for identifying, analyzing, and reporting patterns (themes) in qualitative data. Developed systematically by Virginia Braun and Victoria Clarke (2006), TA is flexible and accessible, applicable across diverse theoretical frameworks and data types, making it one of the most widely used qualitative methods in psychology, health research, and social sciences.