Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Analyse quantitative de contenu basée sur un panel× | Analyse quantitative de contenu× | |
|---|---|---|
| Domaine | Conception de la recherche | Conception de la recherche |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1950s–1980s (formalized in communication research) | 1950s (Berelson 1952; Krippendorff 1980/2004) |
| Auteur d'origine≠ | Synthesized from Berelson's content analysis tradition and panel study methodology | Bernard Berelson; later systematised by Klaus Krippendorff |
| Type≠ | Longitudinal observational design | Quantitative observational research method |
| Source fondatrice≠ | 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 |
| Alias | longitudinal content analysis, repeated-measures content analysis, panel content analysis, tracking content analysis | QCA, manifest content analysis, systematic content analysis, frequency-based content analysis |
| Apparentées≠ | 5 | 4 |
| Résumé≠ | Panel-based quantitative content analysis applies systematic, numeric coding of media or textual content to the same fixed panel of sources at multiple time points. By holding the source panel constant while measurements repeat over time, researchers can track genuine change in content patterns rather than confounding source variation with temporal change. It is widely used in communication, media studies, and political science to monitor how coverage, framing, or topic salience evolves. | 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. |
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