Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Analyse quantitative de contenu× | Analyse de contenu quantitative comparative× | |
|---|---|---|
| Domaine | Conception de la recherche | Conception de la recherche |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1950s (Berelson 1952; Krippendorff 1980/2004) | 1952 (Berelson); comparative extensions prominent from 1980s onward |
| Auteur d'origine≠ | Bernard Berelson; later systematised by Klaus Krippendorff | Bernard Berelson (quantitative content analysis); Kimberly Neuendorf (codebook systematization); Hallin & Mancini (comparative media application) |
| Type≠ | Quantitative observational research method | Quantitative observational research design |
| Source fondatrice≠ | Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology (2nd ed.). Sage. ISBN: 978-0761915454 | Berelson, B. (1952). Content Analysis in Communication Research. Free Press. link ↗ |
| Alias | QCA, manifest content analysis, systematic content analysis, frequency-based content analysis | CQCA, cross-national content analysis, comparative media content analysis, systematic comparative content analysis |
| Apparentées≠ | 4 | 5 |
| Résumé≠ | 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. | 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. |
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