Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Дългосрочен количествено-съдържателен анализ× | Панелни изследвания× | |
|---|---|---|
| Област | Дизайн на изследването | Дизайн на изследването |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1950s onward; longitudinal application widely adopted in media research by the 1970s–1980s | 1970s-1980s (econometric formalization); earlier social survey use from 1940s |
| Създател≠ | Developed within communication and media studies; codified by Berelson (1952) and extended by Riffe, Lacy, Fico | Social science and econometric traditions; systematized by Cheng Hsiao and others from the 1970s-1980s |
| Тип≠ | Quantitative observational research design | Quantitative longitudinal observational design |
| Основополагащ източник≠ | Riffe, D., Lacy, S., Watson, B., & Fico, F. (2019). Analyzing Media Messages: Using Quantitative Content Analysis in Research (4th ed.). Routledge. ISBN: 9781138490536 | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 |
| Други названия | longitudinal content analysis, repeated-measure content analysis, time-series content analysis, longitudinal QCA | panel study, panel survey, longitudinal panel, repeated-measures panel |
| Свързани≠ | 5 | 3 |
| Резюме≠ | Longitudinal quantitative content analysis systematically codes and counts features of texts, images, or media messages gathered at two or more points in time, enabling researchers to track how content changes, how themes rise or fall in prevalence, and how media or institutional messaging responds to external events. The design merges the structured measurement logic of quantitative content analysis with the temporal tracking power of longitudinal observation. | Panel research is a quantitative longitudinal design in which the same individuals, organizations, or other units are measured repeatedly across two or more time points. Unlike cross-sectional surveys that capture a single snapshot, a panel tracks change within units, enabling researchers to separate genuine within-unit change from between-unit differences and to model causal dynamics over time. |
| ScholarGateНабор от данни ↗ |
|
|