Comparer des méthodes

	Analyse de contenu quantitative comparative	Analyse quantitative de contenu transversale
Domaine	Conception de la recherche	Conception de la recherche
Famille	Process / pipeline	Process / pipeline
Année d'origine	1952 (Berelson); comparative extensions prominent from 1980s onward	Mid-20th century (formalized 1952–2000s)
Auteur d'origine	Bernard Berelson (quantitative content analysis); Kimberly Neuendorf (codebook systematization); Hallin & Mancini (comparative media application)	Berelson, B.; Krippendorff, K.; Neuendorf, K. A.
Type	Quantitative observational research design	Quantitative observational research design
Source fondatrice	Berelson, B. (1952). Content Analysis in Communication Research. Free Press.	Neuendorf, K. A. (2002). The Content Analysis Guidebook. Sage Publications. ISBN: 978-0761919773
Alias	CQCA, cross-national content analysis, comparative media content analysis, systematic comparative content analysis	CS-QCA, cross-sectional content analysis, single-timepoint content analysis, quantitative media content analysis
Apparentées	5	4
Résumé	Comparative quantitative content analysis is a systematic, replicable method for counting and categorizing features of communication content — such as news coverage, social media posts, or policy documents — across two or more groups, time periods, outlets, or countries. By applying a standardized codebook to each comparison context, it reveals patterns of similarity and difference in how topics, frames, actors, or sentiments are represented, and allows statistical testing of those differences.	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.