Process / pipelineTarama ve gözlemsel desen
Hierarchical Quantitative Content Analysis
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.
Find Topic with PaperMindSoonVideoSoon
Read the full method
Members only
Sign inSign in with a free account to read this section.
Sources
- Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395678
- Neuendorf, K. A. (2016). The Content Analysis Guidebook (2nd ed.). Sage. ISBN: 978-1412979474