方法对比
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| 比较定量内容分析× | 横断面定量内容分析× | |
|---|---|---|
| 领域 | 研究设计 | 研究设计 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1952 (Berelson); comparative extensions prominent from 1980s onward | Mid-20th century (formalized 1952–2000s) |
| 提出者≠ | Bernard Berelson (quantitative content analysis); Kimberly Neuendorf (codebook systematization); Hallin & Mancini (comparative media application) | Berelson, B.; Krippendorff, K.; Neuendorf, K. A. |
| 类型 | Quantitative observational research design | Quantitative observational research design |
| 开创性文献≠ | Berelson, B. (1952). Content Analysis in Communication Research. Free Press. link ↗ | Neuendorf, K. A. (2002). The Content Analysis Guidebook. Sage Publications. ISBN: 978-0761919773 |
| 别名 | CQCA, cross-national content analysis, comparative media content analysis, systematic comparative content analysis | CS-QCA, cross-sectional content analysis, single-timepoint content analysis, quantitative media content analysis |
| 相关≠ | 5 | 4 |
| 摘要≠ | 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. | Cross-sectional quantitative content analysis is an observational research design in which a systematically drawn sample of communicative content — news articles, social media posts, advertisements, or other symbolic material — is collected at a single point in time and coded using pre-defined numerical categories to describe or test hypotheses about patterns, frequencies, or associations within that content. |
| ScholarGate数据集 ↗ |
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