Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Інтегративний огляд× | Систематичний огляд літератури× | |
|---|---|---|
| Галузь | Наукометрія | Наукометрія |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 2005 (updated methodology); roots in Cooper (1982) | 1993 (Cochrane Collaboration); 2004 (Kitchenham SLR guidelines) |
| Автор методу≠ | Robin Whittemore & Kathleen Knafl | Archie Cochrane (conceptual foundation); formalized by the Cochrane Collaboration (1993) and Barbara Kitchenham in software engineering (2004) |
| Тип≠ | Systematic review method | Evidence synthesis methodology |
| Основоположне джерело≠ | Whittemore, R., & Knafl, K. (2005). The integrative review: Updated methodology. Journal of Advanced Nursing, 52(5), 546–553. DOI ↗ | Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele University Technical Report TR/SE-0401. link ↗ |
| Інші назви | integrative literature review, integrative research review, ILR, integrative synthesis | SLR, systematic review, evidence synthesis review, structured literature review |
| Пов'язані≠ | 6 | 5 |
| Підсумок≠ | An integrative review is a systematic method for synthesising literature that allows the simultaneous inclusion of diverse study designs — experimental, quasi-experimental, and non-experimental — as well as theoretical papers. Unlike the conventional systematic review, which is restricted to controlled trials or a single methodology, the integrative review builds a comprehensive understanding of a phenomenon by drawing on the full breadth of the relevant evidence base. The method follows a rigorous, structured pipeline to ensure transparency and minimise bias. | 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. |
| ScholarGateНабір даних ↗ |
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