Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Analyse de contenu comparative× | Analyse de contenu longitudinale× | |
|---|---|---|
| Domaine | Qualitatif | Qualitatif |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1952 (Berelson); comparative application developed through 1970s–2000s | Mid-20th century onward; systematized alongside content analysis (Berelson, 1952; Krippendorff, 1980) |
| Auteur d'origine≠ | Bernard Berelson (foundational content analysis); Klaus Krippendorff (systematic methodology) | Developed within the content analysis tradition; longitudinal extensions widely applied since the mid-20th century in communication and political science research |
| Type≠ | Qualitative and/or quantitative comparative research design | Qualitative and mixed-methods research design |
| Source fondatrice | Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661 | Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661 |
| Alias | cross-case content analysis, comparative textual analysis, CCA, comparative message analysis | LCA, repeated content analysis, diachronic content analysis, trend content analysis |
| Apparentées | 5 | 5 |
| Résumé≠ | Comparative Content Analysis applies a shared coding framework to texts, documents, or media artifacts drawn from two or more groups, contexts, time points, or nations in order to identify similarities, differences, and patterns across those units of comparison. By holding the analytical lens constant while varying the comparison unit, it reveals how meaning, framing, or discourse differs across the cases under study. | Longitudinal Content Analysis (LCA) applies systematic content analysis to documents, media, or texts sampled at two or more time points in order to detect how themes, frames, language, or discourse patterns change or persist over time. Drawing on the established logic of content analysis, it adds a temporal dimension that allows researchers to chart trends, trace the evolution of representations, and test hypotheses about historical or social change. It is widely used in communication research, political science, media studies, and the health sciences. |
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