Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Utafiti wa Kisomo cha Dijitali cha Nyingi× | Utafiti Linganishi wa Kesi× | |
|---|---|---|
| Nyanja | Mbinu za Kimaelezo | Mbinu za Kimaelezo |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1984 (Yin's case study framework); digital adaptation ~2000s–2010s | 1984 (Yin); 1995 (Stake) |
| Mwanzilishi≠ | Robert K. Yin (case study methodology); extended to digital contexts by various digital methods scholars | Robert K. Yin; Robert E. Stake |
| Aina≠ | Qualitative comparative research design | Qualitative / mixed research design |
| Chanzo asilia | Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169 | Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169 |
| Majina mbadala | online multiple case study, digital multi-site case study, virtual multiple case study, digital comparative case inquiry | cross-case study, multi-site case study, multiple case study design, comparative case analysis |
| Zinazohusiana≠ | 6 | 4 |
| Muhtasari≠ | Digital Multiple Case Study is a qualitative research design in which two or more bounded digital cases — such as online communities, social media platforms, virtual organizations, or digital ecosystems — are studied in depth and then compared systematically. Grounded in Yin's case study methodology and adapted for digital settings, the approach combines the contextual richness of single-case inquiry with the analytic leverage of cross-case comparison in online environments. | 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. |
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