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Komparativ Kvantitativ Indholds-analyse×Kvantitativ tværsnitsindholdsanalyse×
FagområdeForskningsdesignForskningsdesign
FamilieProcess / pipelineProcess / pipeline
Oprindelsesår1952 (Berelson); comparative extensions prominent from 1980s onwardMid-20th century (formalized 1952–2000s)
OphavspersonBernard Berelson (quantitative content analysis); Kimberly Neuendorf (codebook systematization); Hallin & Mancini (comparative media application)Berelson, B.; Krippendorff, K.; Neuendorf, K. A.
TypeQuantitative observational research designQuantitative observational research design
Oprindelig kildeBerelson, B. (1952). Content Analysis in Communication Research. Free Press. link ↗Neuendorf, K. A. (2002). The Content Analysis Guidebook. Sage Publications. ISBN: 978-0761919773
AliasserCQCA, cross-national content analysis, comparative media content analysis, systematic comparative content analysisCS-QCA, cross-sectional content analysis, single-timepoint content analysis, quantitative media content analysis
Relaterede54
ResuméComparative 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.
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ScholarGateSammenlign metoder: Comparative Quantitative Content Analysis · Cross-sectional Quantitative Content Analysis. Hentet 2026-06-17 fra https://scholargate.app/da/compare