ScholarGate
Ассистент

Сравнение методов

Просматривайте выбранные методы рядом; строки с различиями подсвечены.

Визуальная элиситационная аутоэтнография×Рефлексивный тематический анализ×
ОбластьКачественные методыКачественные методы
СемействоProcess / pipelineProcess / pipeline
Год появления2000s–2010s2006 (seminal paper); explicitly named 'reflexive' from ~2019
Автор методаSynthesised from Douglas Harper (photo elicitation, 2002) and Heewon Chang (autoethnography as method, 2008); popularised in education and health humanities research in the 2010sVirginia Braun & Victoria Clarke
ТипQualitative self-study designQualitative research method
Основополагающий источникChang, H. (2008). Autoethnography as Method. Left Coast Press. ISBN: 978-1598741230Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗
Другие названияVEA, photo-elicitation autoethnography, visual autoethnography, image-elicited autoethnographyRTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis
Связанные36
СводкаVisual elicitation autoethnography (VEA) is a qualitative self-study method that combines the personal narrative orientation of autoethnography with the stimulus power of visual artefacts — photographs, drawings, or found images — to prompt and deepen autobiographical reflection. The researcher produces or selects images from their own life, then uses those images as elicitation tools to generate rich written or spoken narratives about a cultural phenomenon they have lived through, positioning the self as both researcher and research subject.Reflexive Thematic Analysis (RTA) is a widely used qualitative method for identifying, analysing, and interpreting patterns of shared meaning — called themes — across a dataset. Developed by Virginia Braun and Victoria Clarke, it is theoretically flexible, works across epistemological positions, and foregrounds the researcher's active, interpretive role rather than treating themes as features that simply emerge from data. It differs from older 'codebook' approaches by treating the analyst's subjectivity as a resource rather than a source of bias to be suppressed.
ScholarGateНабор данных
  1. v1
  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

Перейти к поиску Скачать слайды

ScholarGateСравнение методов: Visual Elicitation Autoethnography · Reflexive Thematic Analysis. Получено 2026-06-18 из https://scholargate.app/ru/compare