Comparer des méthodes

	Analyse quantitative de contenu transversale	Recherche Descriptive
Domaine	Conception de la recherche	Conception de la recherche
Famille	Process / pipeline	Process / pipeline
Année d'origine	Mid-20th century (formalized 1952–2000s)	Late 19th century; formalized in social/behavioral sciences ~1960s–1980s
Auteur d'origine	Berelson, B.; Krippendorff, K.; Neuendorf, K. A.	Francis Galton, Karl Pearson (early empirical tradition); formalized in social science by Fred Kerlinger
Type	Quantitative observational research design	Non-experimental quantitative research design
Source fondatrice	Neuendorf, K. A. (2002). The Content Analysis Guidebook. Sage Publications. ISBN: 978-0761919773	Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101
Alias	CS-QCA, cross-sectional content analysis, single-timepoint content analysis, quantitative media content analysis	descriptive study, descriptive survey design, observational descriptive research, non-experimental descriptive research
Apparentées	4	3
Résumé	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.	Descriptive research is a non-experimental quantitative design that systematically documents the characteristics, frequencies, or distributions of variables in a defined population at a given point in time. It answers 'what is' questions — who, what, when, where, and how much — without manipulating variables or drawing causal conclusions. It is one of the most widely used research designs across the social, behavioral, health, and education sciences.