Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Оглядовий огляд (Scoping Review)× | Огляд картографування× | |
|---|---|---|
| Галузь | Наукометрія | Наукометрія |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 2005 | Late 1990s–2000s; major methodological formalization ~2010s |
| Автор методу≠ | Hilary Arksey & Lisa O'Malley | Buckland & Gann (1998); formalized by systematic review community (Campbell Collaboration, Collaboration for Environmental Evidence) |
| Тип≠ | Evidence synthesis review design | Systematic evidence mapping methodology |
| Основоположне джерело≠ | Arksey, H., & O'Malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19–32. DOI ↗ | James, K. L., Randall, N. P., & Haddaway, N. R. (2016). A methodology for systematic mapping in environmental sciences. Environmental Evidence, 5(1), 7. DOI ↗ |
| Інші назви | scoping study, literature scoping, evidence mapping review, rapid evidence map | evidence map, systematic map, research map, literature map |
| Пов'язані | 6 | 6 |
| Підсумок≠ | A scoping review is a systematic evidence-synthesis method that maps the breadth and nature of research on a topic — identifying key concepts, evidence types, and gaps — without necessarily appraising study quality or pooling effect sizes. Developed by Arksey and O'Malley (2005) and refined by Levac and colleagues (2010), it is particularly valuable for emerging or heterogeneous fields where a full systematic review would be premature or infeasible. | A mapping review (also called a systematic map or evidence map) is a form of systematic review that aims to chart the extent, range, and nature of evidence on a broad topic rather than synthesize findings into a single pooled answer. It categorizes studies by key dimensions — such as intervention type, population, outcome, and study design — and presents the resulting landscape visually and tabularly so that researchers and practitioners can identify clusters of evidence, knowledge gaps, and priorities for future primary research or deeper synthesis. |
| ScholarGateНабір даних ↗ |
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