Сравнение методов

	Сбор документов	Контент-анализ	Тематический анализ
Область	Методология опросов	Качественные методы	Качественные исследования
Семейство	Process / pipeline	Process / pipeline	Process / pipeline
Год появления	19th–20th century historical methods; contemporary social-science codification c. 2000s	Systematised through Krippendorff's methodology work; 4th edition 2018	2006
Автор метода	Rooted in historical and social science traditions; systematized by Lindsay Prior and Glenn Bowen	Klaus Krippendorff (systematic formulation); roots in early 20th-century communications research	Virginia Braun and Victoria Clarke
Тип	Qualitative / mixed data-collection technique	Qualitative / mixed-method research technique	Method
Основополагающий источник	Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40.	Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661	Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
Другие названия	document analysis, documentary method, document review, secondary document analysis	İçerik Analizi, systematic content coding, quantitative content analysis	TA, Reflexive Thematic Analysis
Связанные	3	5	3
Сводка	Document collection is a systematic data-collection technique in which the researcher gathers and reviews existing written, visual, or digital records — such as reports, meeting minutes, policies, letters, photographs, or institutional records — as primary or supplementary evidence. It is widely used in qualitative, historical, and mixed-methods research and can stand alone or complement interviews and observation.	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.	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.