方法对比

	分层定量内容分析	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	1980s–1990s (formalized in Krippendorff 1980; elaborated through subsequent editions)	1950s (Berelson 1952; Krippendorff 1980/2004)
提出者	Klaus Krippendorff (hierarchical category systems formalized in content analysis methodology)	Bernard Berelson; later systematised by Klaus Krippendorff
类型	Quantitative research design	Quantitative observational research method
开创性文献	Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395678	Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology (2nd ed.). Sage. ISBN: 978-0761915454
别名	hierarchical coding content analysis, nested category content analysis, tree-structured content analysis, HQCA	QCA, manifest content analysis, systematic content analysis, frequency-based content analysis
相关	2	4
摘要	Hierarchical quantitative content analysis is a systematic method for coding and counting text or media content using nested, tree-structured category schemes. Rather than a flat list of mutually exclusive codes, categories are organized into parent-child levels — broad themes subdivide into specific sub-themes — enabling researchers to aggregate or disaggregate frequencies at any level of the hierarchy and to produce richly structured numerical summaries of large corpora.	Quantitative content analysis is a systematic, replicable method for converting the manifest content of text, images, or other recorded communication into numerical data. By applying a pre-specified codebook to a defined corpus and counting or scaling the resulting categories, researchers obtain frequency distributions, proportions, and relationships that can be subjected to standard statistical tests. It is the dominant method for large-scale, objective analysis of media, documents, social media posts, policy texts, and similar materials.