Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Utafiti wa Kisomo cha Dijitali cha Nyingi× | Uchambuzi wa Kidijitali wa Kimaudhui× | |
|---|---|---|
| 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 | 2006 (base method); digital application 2010s |
| Mwanzilishi≠ | Robert K. Yin (case study methodology); extended to digital contexts by various digital methods scholars | Virginia Braun & Victoria Clarke (base method); extended to digital data contexts by qualitative digital researchers from the mid-2000s onward |
| Aina≠ | Qualitative comparative research design | Qualitative data analysis method |
| Chanzo asilia≠ | Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169 | Braun, V. & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Majina mbadala | online multiple case study, digital multi-site case study, virtual multiple case study, digital comparative case inquiry | online thematic analysis, social media thematic analysis, digital TA, web-based thematic analysis |
| Zinazohusiana≠ | 6 | 5 |
| 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. | Digital Thematic Analysis applies Braun and Clarke's six-phase thematic analysis framework to qualitative data generated in or harvested from digital environments — including social media platforms, online forums, blogs, digital interview transcripts, and user-generated web content. It retains the same systematic coding logic as standard thematic analysis while incorporating additional decisions about data demarcation, platform context, and the ethical handling of publicly available digital material. |
| ScholarGateSeti ya data ↗ |
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