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Интерпретативный контент-анализ×Тематический анализ×
ОбластьКачественные методыКачественные исследования
СемействоProcess / pipelineProcess / pipeline
Год появления1983 (Mayring's German original); 2000 (English publication)2006
Автор методаPhilipp Mayring (systematic qualitative variant); Klaus Krippendorff (foundational framework)Virginia Braun and Victoria Clarke
ТипQualitative text analysis approachMethod
Основополагающий источникMayring, P. (2000). Qualitative content analysis. Forum: Qualitative Social Research, 1(2), Art. 20. link ↗Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗
Другие названияICA, interpretive CA, qualitative content analysis, meaning-oriented content analysisTA, Reflexive Thematic Analysis
Связанные63
СводкаInterpretive content analysis is a systematic qualitative approach for analyzing the latent meanings and interpretive frameworks embedded in textual, visual, or documentary data. Unlike frequency-based content analysis, it foregrounds the researcher's interpretive engagement with texts to uncover how meaning is constructed, contested, or reproduced. Philipp Mayring's qualitative content analysis and broader interpretive traditions provide the methodological backbone for this approach.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 данных
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ScholarGateСравнение методов: Interpretive content analysis · Thematic Analysis. Получено 2026-06-17 из https://scholargate.app/ru/compare