方法对比
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| 横断面定量内容分析× | 描述性研究× | |
|---|---|---|
| 领域 | 研究设计 | 研究设计 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | Mid-20th century (formalized 1952–2000s) | Late 19th century; formalized in social/behavioral sciences ~1960s–1980s |
| 提出者≠ | Berelson, B.; Krippendorff, K.; Neuendorf, K. A. | Francis Galton, Karl Pearson (early empirical tradition); formalized in social science by Fred Kerlinger |
| 类型≠ | Quantitative observational research design | Non-experimental quantitative research design |
| 开创性文献≠ | 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 |
| 别名 | CS-QCA, cross-sectional content analysis, single-timepoint content analysis, quantitative media content analysis | descriptive study, descriptive survey design, observational descriptive research, non-experimental descriptive research |
| 相关≠ | 4 | 3 |
| 摘要≠ | 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. | 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. |
| ScholarGate数据集 ↗ |
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