Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Порівняльний кількісний контент-аналіз× | Описове дослідження× | |
|---|---|---|
| Галузь | Дизайн дослідження | Дизайн дослідження |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1952 (Berelson); comparative extensions prominent from 1980s onward | Late 19th century; formalized in social/behavioral sciences ~1960s–1980s |
| Автор методу≠ | Bernard Berelson (quantitative content analysis); Kimberly Neuendorf (codebook systematization); Hallin & Mancini (comparative media application) | Francis Galton, Karl Pearson (early empirical tradition); formalized in social science by Fred Kerlinger |
| Тип≠ | Quantitative observational research design | Non-experimental quantitative research design |
| Основоположне джерело≠ | Berelson, B. (1952). Content Analysis in Communication Research. Free Press. link ↗ | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101 |
| Інші назви | CQCA, cross-national content analysis, comparative media content analysis, systematic comparative content analysis | descriptive study, descriptive survey design, observational descriptive research, non-experimental descriptive research |
| Пов'язані≠ | 5 | 3 |
| Підсумок≠ | Comparative quantitative content analysis is a systematic, replicable method for counting and categorizing features of communication content — such as news coverage, social media posts, or policy documents — across two or more groups, time periods, outlets, or countries. By applying a standardized codebook to each comparison context, it reveals patterns of similarity and difference in how topics, frames, actors, or sentiments are represented, and allows statistical testing of those differences. | Descriptive research is a non-experimental quantitative design that systematically documents the characteristics, frequencies, or distributions of variables in a defined population at a given point in time. It answers 'what is' questions — who, what, when, where, and how much — without manipulating variables or drawing causal conclusions. It is one of the most widely used research designs across the social, behavioral, health, and education sciences. |
| ScholarGateНабір даних ↗ |
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