เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| เมตา-ชาติพันธุ์วรรณนา× | การทบทวนวรรณกรรมอย่างเป็นระบบ (Systematic Literature Review× | |
|---|---|---|
| สาขาวิชา | วิทยาศาสตรมิติ | วิทยาศาสตรมิติ |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1988 | 1993 (Cochrane Collaboration); 2004 (Kitchenham SLR guidelines) |
| ผู้ริเริ่ม≠ | George W. Noblit and R. Dwight Hare | Archie Cochrane (conceptual foundation); formalized by the Cochrane Collaboration (1993) and Barbara Kitchenham in software engineering (2004) |
| ประเภท≠ | Qualitative evidence synthesis method | Evidence synthesis methodology |
| แหล่งต้นตำรับ≠ | Noblit, G. W., & Hare, R. D. (1988). Meta-ethnography: Synthesizing qualitative studies. Sage. ISBN: 978-0803930780 | Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele University Technical Report TR/SE-0401. link ↗ |
| ชื่อเรียกอื่น | qualitative meta-synthesis, interpretive synthesis, ethnographic synthesis, meta-ethnographic review | SLR, systematic review, evidence synthesis review, structured literature review |
| ที่เกี่ยวข้อง≠ | 4 | 5 |
| สรุป≠ | Meta-ethnography is a systematic method for synthesising findings across multiple qualitative studies by comparing and translating the conceptual frameworks and metaphors each study uses. Developed by Noblit and Hare in 1988, it produces a new interpretive account that goes beyond any single study, preserving the richness of qualitative data while generating broader theoretical insights. It is the most influential approach to qualitative evidence synthesis in health, social, and educational research. | 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. |
| ScholarGateชุดข้อมูล ↗ |
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