ScholarGate
Asistent

Porovnat metody

Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.

Digitální tematická analýza – Identifikace vzorců v digitálních a online datech×Analýza digitálního obsahu×
OborKvalitativní metodyKvalitativní metody
RodinaProcess / pipelineProcess / pipeline
Rok vzniku2006 (base method); digital application 2010s1950s (classical); digital adaptation 2000s–2010s
TvůrceVirginia Braun & Victoria Clarke (base method); extended to digital data contexts by qualitative digital researchers from the mid-2000s onwardBuilding on Berelson (1952) and Krippendorff (1980); adapted for digital contexts by Herring (2010) and Neuendorf (2002+)
TypQualitative data analysis methodQualitative/quantitative hybrid research approach
Původní zdrojBraun, V. & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗Neuendorf, K. A. (2017). The Content Analysis Guidebook (2nd ed.). Sage. ISBN: 978-1412979474
Další názvyonline thematic analysis, social media thematic analysis, digital TA, web-based thematic analysisDCA, online content analysis, web content analysis, digital media content analysis
Příbuzné54
ShrnutíDigital Thematic Analysis applies Braun and Clarke's six-phase thematic analysis framework to qualitative data generated in or harvested from digital environments — including social media platforms, online forums, blogs, digital interview transcripts, and user-generated web content. It retains the same systematic coding logic as standard thematic analysis while incorporating additional decisions about data demarcation, platform context, and the ethical handling of publicly available digital material.Digital Content Analysis is a systematic research method for describing, categorising, and interpreting the content of digital materials — social media posts, websites, online forums, blogs, emails, and video transcripts. It applies the rigorous coding logic of classical content analysis to digitally native or digitally collected text, enabling researchers to move from raw online data to structured, interpretable findings about communication, meaning, and social phenomena.
ScholarGateDatová sada
  1. v1
  2. 2 Zdroje
  3. PUBLISHED
  1. v1
  2. 2 Zdroje
  3. PUBLISHED

Přejít na hledání Stáhnout prezentaci

ScholarGatePorovnat metody: Digital Thematic Analysis · Digital Content analysis. Získáno 2026-06-17 z https://scholargate.app/cs/compare