Сравнение методов

	Лонгитюдный контент-анализ	Дискурс-анализ
Область	Качественные методы	Качественные исследования
Семейство	Process / pipeline	Process / pipeline
Год появления	Mid-20th century onward; systematized alongside content analysis (Berelson, 1952; Krippendorff, 1980)	1989 (Fairclough); 1987 (Potter & Wetherell)
Автор метода	Developed within the content analysis tradition; longitudinal extensions widely applied since the mid-20th century in communication and political science research	Norman Fairclough; Jonathan Potter and Margaret Wetherell
Тип	Qualitative and mixed-methods research design	Method
Основополагающий источник	Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661	Fairclough, N. (1989). Language and power. Longman.
Другие названия	LCA, repeated content analysis, diachronic content analysis, trend content analysis	DA, Critical Discourse Analysis, Discursive Analysis
Связанные	5	2
Сводка	Longitudinal 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.	Discourse analysis is a qualitative research methodology that examines how language, communication, and power shape meaning, identity, and social reality. Developed across linguistics, sociology, and psychology (particularly by Norman Fairclough and Jonathan Potter), discourse analysis goes beyond content to analyze language use as a social practice that constitutes and reflects power relations, ideologies, and social structures.