Módszerek összehasonlítása
Tekintse át a kiválasztott módszereket egymás mellett; az eltérő sorok kiemelve jelennek meg.
| Témaváltozási analízis – Kutatási témák időbeli változásainak nyomon követése× | Szisztematikus irodalomkutatás – SLR× | |
|---|---|---|
| Tudományterület | Tudománymetria | Tudománymetria |
| Módszercsalád | Process / pipeline | Process / pipeline |
| Keletkezés éve≠ | 2011 | 1993 (Cochrane Collaboration); 2004 (Kitchenham SLR guidelines) |
| Megalkotó≠ | Manuel J. Cobo and colleagues (University of Granada) | Archie Cochrane (conceptual foundation); formalized by the Cochrane Collaboration (1993) and Barbara Kitchenham in software engineering (2004) |
| Típus≠ | Quantitative bibliometric technique | Evidence synthesis methodology |
| Alapmű≠ | Cobo, M. J., Lopez-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402. DOI ↗ | Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele University Technical Report TR/SE-0401. link ↗ |
| Alternatív nevek | TEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysis | SLR, systematic review, evidence synthesis review, structured literature review |
| Kapcsolódó≠ | 6 | 5 |
| Összefoglaló≠ | Thematic evolution analysis is a bibliometric technique that divides a body of literature into consecutive time periods and tracks how research themes emerge, consolidate, split, merge, or disappear across those periods. By combining co-word analysis, clustering, and strategic diagrams for each time slice, it produces a dynamic picture of a field's intellectual development rather than a static snapshot. | A systematic literature review (SLR) is a structured, reproducible method for identifying, appraising, and synthesizing all relevant studies on a research question. Unlike a narrative review, it follows an explicit, pre-specified protocol — from database search strings through inclusion criteria to data extraction — so that the process is transparent, auditable, and replicable by other researchers. It is widely used in medicine, education, software engineering, and the social sciences to produce the most comprehensive possible evidence base on a topic. |
| ScholarGateAdatkészlet ↗ |
|
|