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Дигитален качествен анализ на съдържанието×Тематичен анализ×
ОбластКачествени методиКачествени изследвания
СемействоProcess / pipelineProcess / pipeline
Година на възникване2010s (building on qualitative content analysis traditions from 1983–2012)2006
СъздателAdapted from Philipp Mayring and Margrit Schreier; digital extension by multiple scholars in the 2010sVirginia Braun and Victoria Clarke
ТипQualitative research methodMethod
Основополагащ източникSchreier, M. (2012). Qualitative Content Analysis in Practice. Sage. ISBN: 978-0857029485Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗
Други названияDQCA, qualitative content analysis of digital data, online qualitative content analysis, digital QCATA, Reflexive Thematic Analysis
Свързани43
РезюмеDigital Qualitative Content Analysis (DQCA) is a systematic method for interpreting meaning from digital texts — social media posts, forum threads, blogs, emails, and other online content — through a structured, category-driven coding process. It extends the established tradition of qualitative content analysis (Mayring; Schreier) to the scale, multimodality, and contextual specificity of digital environments, prioritising interpretive depth over frequency counting.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.
ScholarGateНабор от данни
  1. v1
  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 3 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: Digital Qualitative Content Analysis · Thematic Analysis. Извлечено на 2026-06-18 от https://scholargate.app/bg/compare