Сравнение методов

	Количественный контент-анализ	Опросные исследования
Область	Дизайн исследования	Дизайн исследования
Семейство	Process / pipeline	Process / pipeline
Год появления	1950s (Berelson 1952; Krippendorff 1980/2004)	Late 19th century; methodologically systematised 1940s–1960s
Автор метода	Bernard Berelson; later systematised by Klaus Krippendorff	Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s
Тип	Quantitative observational research method	Quantitative (and mixed) non-experimental design
Основополагающий источник	Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology (2nd ed.). Sage. ISBN: 978-0761915454	Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000
Другие названия	QCA, manifest content analysis, systematic content analysis, frequency-based content analysis	survey methodology, questionnaire research, survey design, survey study
Связанные	4	4
Сводка	Quantitative content analysis is a systematic, replicable method for converting the manifest content of text, images, or other recorded communication into numerical data. By applying a pre-specified codebook to a defined corpus and counting or scaling the resulting categories, researchers obtain frequency distributions, proportions, and relationships that can be subjected to standard statistical tests. It is the dominant method for large-scale, objective analysis of media, documents, social media posts, policy texts, and similar materials.	Survey research is a quantitative (and sometimes mixed-methods) design in which a researcher collects standardised self-report data from a sample drawn from a defined population, using a questionnaire or structured interview. It is the dominant non-experimental strategy for describing population characteristics, estimating prevalence, mapping attitude distributions, and testing bivariate or multivariate associations across social, behavioural, and health sciences.