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Лонгитюдный контент-анализ×Контент-анализ×
ОбластьКачественные методыКачественные методы
СемействоProcess / pipelineProcess / pipeline
Год появленияMid-20th century onward; systematized alongside content analysis (Berelson, 1952; Krippendorff, 1980)Systematised through Krippendorff's methodology work; 4th edition 2018
Автор методаDeveloped within the content analysis tradition; longitudinal extensions widely applied since the mid-20th century in communication and political science researchKlaus Krippendorff (systematic formulation); roots in early 20th-century communications research
ТипQualitative and mixed-methods research designQualitative / mixed-method research technique
Основополагающий источникKrippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661
Другие названияLCA, repeated content analysis, diachronic content analysis, trend content analysisİçerik Analizi, systematic content coding, quantitative content analysis
Связанные55
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.Content analysis is a systematic research technique for reducing text, visual, or media material into coded categories so that patterns can be counted, compared, and interpreted. Formalised by Klaus Krippendorff in his widely cited methodology textbook (latest edition 2018), the method sits at the boundary of qualitative and quantitative inquiry: it imposes structured, replicable coding on inherently meaning-laden material.
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ScholarGateСравнение методов: Longitudinal Content Analysis · Content Analysis. Получено 2026-06-17 из https://scholargate.app/ru/compare