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Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Ψηφιακή Μελέτη Πολλαπλών Περιπτώσεων× | Συγκριτική Μελέτη Περίπτωσης× | |
|---|---|---|
| Πεδίο | Ποιοτικές Μέθοδοι | Ποιοτικές Μέθοδοι |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 1984 (Yin's case study framework); digital adaptation ~2000s–2010s | 1984 (Yin); 1995 (Stake) |
| Δημιουργός≠ | Robert K. Yin (case study methodology); extended to digital contexts by various digital methods scholars | Robert K. Yin; Robert E. Stake |
| Τύπος≠ | Qualitative comparative research design | Qualitative / mixed research design |
| Θεμελιώδης πηγή | 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 |
| Εναλλακτικές ονομασίες | 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 |
| Συναφείς≠ | 6 | 4 |
| Σύνοψη≠ | 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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