Сравнение методов

	Опросные исследования	Количественный контент-анализ
Область	Дизайн исследования	Дизайн исследования
Семейство	Process / pipeline	Process / pipeline
Год появления	Late 19th century; methodologically systematised 1940s–1960s	1950s (Berelson 1952; Krippendorff 1980/2004)
Автор метода	Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s	Bernard Berelson; later systematised by Klaus Krippendorff
Тип	Quantitative (and mixed) non-experimental design	Quantitative observational research method
Основополагающий источник	Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000	Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology (2nd ed.). Sage. ISBN: 978-0761915454
Другие названия	survey methodology, questionnaire research, survey design, survey study	QCA, manifest content analysis, systematic content analysis, frequency-based content analysis
Связанные	4	4
Сводка	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.	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.