So sánh phương pháp

	Phân tích đồng xuất hiện từ khóa dựa trên siêu hồi quy	Phân tích thư mục
Lĩnh vực	Trắc lượng khoa học	Trắc lượng khoa học
Họ	Process / pipeline	Process / pipeline
Năm ra đời	2000s–2010s (hybrid application period)	1969 (term coined); practice dates to 1920s–1930s
Người khởi xướng	Derived from Callon et al. (co-word analysis, 1983) and Glass (meta-regression lineage, 1976); hybrid application developed incrementally in scientometrics and evidence synthesis	Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934)
Loại	Hybrid scientometric-statistical method	Quantitative literature analysis
Công trình gốc	Callon, M., Courtial, J. P., Turner, W. A., & Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(2), 191–235.	Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349.
Tên gọi khác	MR-CWA, meta-regression co-word mapping, regression-weighted co-word analysis, co-word meta-regression	bibliometrics, bibliometric study, bibliometric mapping, publication analysis
Liên quan	4	6
Tóm tắt	Meta-regression-based co-word analysis is a hybrid scientometric technique that enriches traditional co-word mapping by weighting keyword co-occurrence networks with meta-regression-derived effect estimates. Instead of treating all documents as equally informative, the method uses statistical regression to incorporate study-level moderators — such as publication year, sample size, or methodological quality — into the co-occurrence structure, revealing how thematic clusters in a research field vary across moderator conditions.	Bibliometric analysis applies statistical and mathematical methods to bibliographic records — publications, citations, authors, journals, and keywords — to measure and map the structure, output, and intellectual evolution of a research field. It is widely used to identify influential works, prolific authors, productive journals, collaboration networks, and emerging research themes across any academic discipline.