مقایسهٔ روشها
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| مرور پیمایشی میدانی× | مرور نظاممند ادبیات× | |
|---|---|---|
| حوزه | علمسنجی | علمسنجی |
| خانواده | Process / pipeline | Process / pipeline |
| سال پیدایش≠ | 2005 (foundational framework); field-mapping purpose formalised c. 2015–2018 | 1993 (Cochrane Collaboration); 2004 (Kitchenham SLR guidelines) |
| پدیدآور≠ | Arksey & O'Malley (scoping review framework); field-mapping purpose formalised by Munn et al. and Peters et al. | Archie Cochrane (conceptual foundation); formalized by the Cochrane Collaboration (1993) and Barbara Kitchenham in software engineering (2004) |
| نوع≠ | Evidence synthesis — systematic review variant | Evidence synthesis methodology |
| منبع بنیادین≠ | Munn, Z., Peters, M. D. J., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018). Systematic review or scoping review? Guidance for authors when choosing between a systematic review and scoping review approach. BMC Medical Research Methodology, 18, 143. DOI ↗ | Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele University Technical Report TR/SE-0401. link ↗ |
| نامهای دیگر | field-mapping scoping study, evidence-mapping scoping review, field map review, scoping review for field mapping | SLR, systematic review, evidence synthesis review, structured literature review |
| مرتبط≠ | 6 | 5 |
| خلاصه≠ | A field-mapping scoping review is a purposive variant of the scoping review in which the overarching goal is to chart the conceptual and empirical landscape of a research field — identifying what has been studied, by whom, using which methods, and where knowledge gaps remain. It follows the Arksey and O'Malley scoping framework but is explicitly oriented toward producing a structured map of a field rather than answering a focused clinical or policy question. | 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. |
| ScholarGateمجموعهداده ↗ |
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