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Партисипативный контент-анализ×Тематический анализ×
ОбластьКачественные методыКачественные исследования
СемействоProcess / pipelineProcess / pipeline
Год появления1990s–2000s (formalized in community-based and health research contexts)2006
Автор методаDeveloped at the intersection of participatory action research (Kurt Lewin, 1940s) and qualitative content analysis traditionsVirginia Braun and Victoria Clarke
ТипQualitative research methodMethod
Основополагающий источникLeavy, P. (Ed.). (2014). The Oxford Handbook of Qualitative Research. Oxford University Press. ISBN: 978-0199811755Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗
Другие названияPCA, community-based content analysis, collaborative content analysis, participatory textual analysisTA, Reflexive Thematic Analysis
Связанные53
СводкаParticipatory Content Analysis (PCA) is a qualitative method that integrates community members or stakeholders directly into the content analysis process. Rather than treating participants solely as data sources, PCA positions them as co-analysts who help develop coding categories, interpret textual data, and validate findings. This approach is widely used in health communication, education research, and community-based studies where insider knowledge and cultural context are essential to accurate interpretation.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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  3. PUBLISHED
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ScholarGateСравнение методов: Participatory Content Analysis · Thematic Analysis. Получено 2026-06-18 из https://scholargate.app/ru/compare