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× | Recherche de tendance× | |
|---|---|---|
| Domaine | Conception de la recherche | Conception de la recherche |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1950s–1980s (formalized in communication research) | Mid-20th century (formalised in social science methodology ~1950s–1960s) |
| Auteur d'origine≠ | Synthesized from Berelson's content analysis tradition and panel study methodology | Earl Babbie and survey research tradition |
| Type≠ | Longitudinal observational design | Quantitative longitudinal 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 | longitudinal content analysis, repeated-measures content analysis, panel content analysis, tracking content analysis | trend study, trend survey, longitudinal trend study, time-series survey |
| 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. | Trend research is a longitudinal quantitative design that tracks changes in a characteristic of a general population over time by surveying different, independently drawn samples at two or more time points. Unlike panel studies, the same individuals are not followed; rather, each wave draws a fresh sample from the same population, allowing researchers to detect population-level shifts in attitudes, behaviours, or conditions while avoiding the attrition and panel conditioning problems of repeated-measures designs. |
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