Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Meta-etnografi× | Systematisk litteraturgjennomgang× | |
|---|---|---|
| Fagfelt | Scientometri | Scientometri |
| Familie | Process / pipeline | Process / pipeline |
| Opprinnelsesår≠ | 1988 | 1993 (Cochrane Collaboration); 2004 (Kitchenham SLR guidelines) |
| Opphavsperson≠ | George W. Noblit and R. Dwight Hare | Archie Cochrane (conceptual foundation); formalized by the Cochrane Collaboration (1993) and Barbara Kitchenham in software engineering (2004) |
| Type≠ | Qualitative evidence synthesis method | Evidence synthesis methodology |
| Opprinnelig kilde≠ | 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 ↗ |
| Alias | qualitative meta-synthesis, interpretive synthesis, ethnographic synthesis, meta-ethnographic review | SLR, systematic review, evidence synthesis review, structured literature review |
| Relaterte≠ | 4 | 5 |
| Sammendrag≠ | 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. |
| ScholarGateDatasett ↗ |
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