Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Meervoudige visueel-gebaseerde casestudies× | Vergelijkende casestudy× | |
|---|---|---|
| Vakgebied | Kwalitatief | Kwalitatief |
| Familie | Process / pipeline | Process / pipeline |
| Jaar van ontstaan≠ | 2000s–2010s (convergence of case study and visual research traditions) | 1984 (Yin); 1995 (Stake) |
| Grondlegger≠ | Synthesised from Robert E. Stake (multiple case design) and Gillian Rose / visual methodologies scholars | Robert K. Yin; Robert E. Stake |
| Type≠ | Qualitative comparative research design | Qualitative / mixed research design |
| Oorspronkelijke bron≠ | Stake, R. E. (2006). Multiple Case Study Analysis. Guilford Press. ISBN: 978-1593852481 | Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169 |
| Aliassen | multi-case visual analysis, comparative visual case study, cross-case image analysis, MCVA | cross-case study, multi-site case study, multiple case study design, comparative case analysis |
| Verwant≠ | 5 | 4 |
| Samenvatting≠ | Multiple case-based visual analysis is a qualitative design that systematically examines visual materials — photographs, drawings, maps, video stills, or image-rich documents — across two or more purposefully selected cases. By combining Robert Stake's multiple case study logic with visual analysis frameworks, it enables researchers to identify both case-specific visual meanings and cross-case patterns, producing richer comparative insights than either method yields alone. | Comparative case study is a qualitative research design in which two or more bounded cases are studied in depth and then systematically compared to identify similarities, differences, and patterns across contexts. Rooted in Yin's replication logic and Stake's multiple case framework, it is particularly suited to questions that ask how or why a phenomenon unfolds differently — or similarly — across distinct settings, populations, or time periods. |
| ScholarGateGegevensset ↗ |
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