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Лонгитюдный контент-анализ×Тематический анализ×
ОбластьКачественные методыКачественные исследования
СемействоProcess / pipelineProcess / pipeline
Год появленияMid-20th century onward; systematized alongside content analysis (Berelson, 1952; Krippendorff, 1980)2006
Автор методаDeveloped within the content analysis tradition; longitudinal extensions widely applied since the mid-20th century in communication and political science researchVirginia Braun and Victoria Clarke
ТипQualitative and mixed-methods research designMethod
Основополагающий источникKrippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗
Другие названияLCA, repeated content analysis, diachronic content analysis, trend content analysisTA, Reflexive Thematic Analysis
Связанные53
СводкаLongitudinal Content Analysis (LCA) applies systematic content analysis to documents, media, or texts sampled at two or more time points in order to detect how themes, frames, language, or discourse patterns change or persist over time. Drawing on the established logic of content analysis, it adds a temporal dimension that allows researchers to chart trends, trace the evolution of representations, and test hypotheses about historical or social change. It is widely used in communication research, political science, media studies, and the health sciences.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: Longitudinal Content Analysis · Thematic Analysis. Получено 2026-06-18 из https://scholargate.app/ru/compare