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| Phân tích gộp theo lát cắt thời gian× | Phân tích thư mục× | |
|---|---|---|
| Lĩnh vực | Trắc lượng khoa học | Trắc lượng khoa học |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 1992 (cumulative form); refined through 2000s | 1969 (term coined); practice dates to 1920s–1930s |
| Người khởi xướng≠ | Lau et al. (cumulative variant); Borenstein et al. (general meta-analytic framework) | Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934) |
| Loại≠ | Quantitative evidence synthesis variant | Quantitative literature analysis |
| Công trình gốc≠ | Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to Meta-Analysis. Wiley. ISBN: 978-0470057247 | Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349. link ↗ |
| Tên gọi khác | temporal meta-analysis, period-stratified meta-analysis, time-segmented meta-analysis, chronological meta-analysis | bibliometrics, bibliometric study, bibliometric mapping, publication analysis |
| Liên quan≠ | 5 | 6 |
| Tóm tắt≠ | Time-sliced meta-analysis is a variant of standard meta-analysis in which the primary studies are partitioned into successive time periods (slices) and a separate pooled effect estimate is computed for each period. By comparing pooled effects across periods, researchers can detect whether an intervention's effectiveness, a relationship's magnitude, or a methodological consensus has shifted over time. This temporal lens transforms a static evidence summary into a longitudinal narrative of how scientific knowledge on a topic has evolved. | 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. |
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