Methoden vergleichen

	Querschnittliche quantitative Inhaltsanalyse	Quantitative Inhaltsanalyse
Fachgebiet	Forschungsdesign	Forschungsdesign
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	Mid-20th century (formalized 1952–2000s)	1950s (Berelson 1952; Krippendorff 1980/2004)
Urheber	Berelson, B.; Krippendorff, K.; Neuendorf, K. A.	Bernard Berelson; later systematised by Klaus Krippendorff
Typ	Quantitative observational research design	Quantitative observational research method
Wegweisende Quelle	Neuendorf, K. A. (2002). The Content Analysis Guidebook. Sage Publications. ISBN: 978-0761919773	Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology (2nd ed.). Sage. ISBN: 978-0761915454
Aliasnamen	CS-QCA, cross-sectional content analysis, single-timepoint content analysis, quantitative media content analysis	QCA, manifest content analysis, systematic content analysis, frequency-based content analysis
Verwandt	4	4
Zusammenfassung	Cross-sectional quantitative content analysis is an observational research design in which a systematically drawn sample of communicative content — news articles, social media posts, advertisements, or other symbolic material — is collected at a single point in time and coded using pre-defined numerical categories to describe or test hypotheses about patterns, frequencies, or associations within that content.	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.