Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Сравнителен анализ на съдържанието× | Лонгитюдъвен анализ на съдържанието× | |
|---|---|---|
| Област | Качествени методи | Качествени методи |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1952 (Berelson); comparative application developed through 1970s–2000s | Mid-20th century onward; systematized alongside content analysis (Berelson, 1952; Krippendorff, 1980) |
| Създател≠ | 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 |
| Тип≠ | Qualitative and/or quantitative comparative research design | Qualitative and mixed-methods research design |
| Основополагащ източник | 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 |
| Други названия | cross-case content analysis, comparative textual analysis, CCA, comparative message analysis | LCA, repeated content analysis, diachronic content analysis, trend content analysis |
| Свързани | 5 | 5 |
| Резюме≠ | 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. |
| ScholarGateНабор от данни ↗ |
|
|