Uporedite metode
Pregledajte izabrane metode jednu pored druge; redovi koji se razlikuju su istaknuti.
| Pregled mapiranja po vremenskim isečcima× | Sistematski pregled literature× | |
|---|---|---|
| Oblast | Naukometrija | Naukometrija |
| Porodica | Process / pipeline | Process / pipeline |
| Godina nastanka≠ | 2000s–2010s | 1993 (Cochrane Collaboration); 2004 (Kitchenham SLR guidelines) |
| Tvorac≠ | Campbell Collaboration / Gough, Oliver & Thomas | Archie Cochrane (conceptual foundation); formalized by the Cochrane Collaboration (1993) and Barbara Kitchenham in software engineering (2004) |
| Tip≠ | Evidence synthesis with temporal segmentation | Evidence synthesis methodology |
| Temeljni izvor≠ | Gough, D., Oliver, S., & Thomas, J. (2012). An Introduction to Systematic Reviews. Sage Publications. ISBN: 978-1849204842 | Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele University Technical Report TR/SE-0401. link ↗ |
| Drugi nazivi | temporal mapping review, time-period mapping review, longitudinal evidence map, chronological mapping review | SLR, systematic review, evidence synthesis review, structured literature review |
| Srodne≠ | 6 | 5 |
| Sažetak≠ | A time-sliced mapping review is a systematic evidence synthesis that partitions the search period into discrete temporal segments — such as five-year intervals — and constructs a separate evidence map for each slice. By comparing maps across periods, researchers can chart how topics emerge, peak, decline, or transform within a research field, producing a longitudinal picture of knowledge structure that a single-point mapping review cannot provide. | 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. |
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