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| Analisis Bibliometrik× | Sintesis Meta Kualitatif× | |
|---|---|---|
| Bidang≠ | Saintometrika | Sintesis Bukti |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 1969 (term coined); practice dates to 1920s–1930s | 2007 |
| Pencetus≠ | Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934) | Sandelowski & Barroso (2007), Popularized by Thomas & Harden (2008) |
| Tipe≠ | Quantitative literature analysis | Framework |
| Sumber perintis≠ | Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349. link ↗ | Thomas, J., & Harden, A. (2008). Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Medical Research Methodology, 8, 45. DOI ↗ |
| Alias | bibliometrics, bibliometric study, bibliometric mapping, publication analysis | Qualitative Evidence Synthesis, Thematic Synthesis, Metasynthesis, Qualitative Systematic Review |
| Terkait≠ | 6 | 2 |
| Ringkasan≠ | 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. | Qualitative meta-synthesis is a systematic method for synthesizing findings from multiple qualitative research studies (interviews, focus groups, ethnographies) to develop integrated interpretations and theoretical insights. Formalized by Sandelowski and Barroso (2007) and popularized by Thomas and Harden (2008), qualitative meta-synthesis preserves the rich, contextual, interpretive nature of qualitative evidence while enabling broader conclusions across multiple studies. Unlike quantitative meta-analysis, which pools numbers, qualitative meta-synthesis synthesizes themes, meanings, and conceptual insights—answering questions like 'How do cancer patients experience treatment side effects?' or 'What factors shape patient engagement with preventive health programs?' across multiple studies. |
| ScholarGateSet data ↗ |
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