পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| সময়-বিভক্ত মেটা-বিশ্লেষণ× | Systematic Literature Review× | |
|---|---|---|
| ক্ষেত্র | বিজ্ঞানমিতি | বিজ্ঞানমিতি |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1992 (cumulative form); refined through 2000s | 1993 (Cochrane Collaboration); 2004 (Kitchenham SLR guidelines) |
| প্রবর্তক≠ | Lau et al. (cumulative variant); Borenstein et al. (general meta-analytic framework) | Archie Cochrane (conceptual foundation); formalized by the Cochrane Collaboration (1993) and Barbara Kitchenham in software engineering (2004) |
| ধরন≠ | Quantitative evidence synthesis variant | Evidence synthesis methodology |
| মৌলিক উৎস≠ | Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to Meta-Analysis. Wiley. ISBN: 978-0470057247 | Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele University Technical Report TR/SE-0401. link ↗ |
| অপর নাম | temporal meta-analysis, period-stratified meta-analysis, time-segmented meta-analysis, chronological meta-analysis | SLR, systematic review, evidence synthesis review, structured literature review |
| সম্পর্কিত | 5 | 5 |
| সারসংক্ষেপ≠ | Time-sliced meta-analysis is a variant of standard meta-analysis in which the primary studies are partitioned into successive time periods (slices) and a separate pooled effect estimate is computed for each period. By comparing pooled effects across periods, researchers can detect whether an intervention's effectiveness, a relationship's magnitude, or a methodological consensus has shifted over time. This temporal lens transforms a static evidence summary into a longitudinal narrative of how scientific knowledge on a topic has evolved. | 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. |
| ScholarGateডেটাসেট ↗ |
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