Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Ενσωματωμένος Διερευνητικός Διαδοχικός Μικτός Σχεδιασμός× | Σχεδιασμός Επεξηγηματικών Διαδοχικών Μεικτών Μεθόδων× | |
|---|---|---|
| Πεδίο | Ερευνητικός Σχεδιασμός | Ερευνητικός Σχεδιασμός |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 2000s–2010s | 2007 (formalized in Creswell & Plano Clark's mixed methods typology) |
| Δημιουργός≠ | Creswell & Plano Clark (embedded and exploratory sequential variants codified) | John W. Creswell & Vicki L. Plano Clark |
| Τύπος | Mixed methods research design | Mixed methods research design |
| Θεμελιώδης πηγή | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| Εναλλακτικές ονομασίες | embedded-exploratory design, nested exploratory sequential design, qual-first embedded design, QUAN(qual) exploratory sequential | explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design |
| Συναφείς | 6 | 6 |
| Σύνοψη≠ | An embedded exploratory sequential mixed methods design opens with a qualitative phase that explores an understudied phenomenon, then embeds a secondary quantitative strand within or alongside that primary qualitative work. The qualitative findings guide what is measured quantitatively, while the embedded quantitative data provide additional scope or precision without displacing the qualitative logic driving the study. | The explanatory sequential mixed methods design is a two-phase research approach in which a quantitative study is conducted first, and qualitative data are then collected specifically to help explain or elaborate the initial quantitative results. The quantitative phase carries greater priority; the qualitative phase is purposefully built around the findings — such as surprising results, outliers, or statistically significant relationships — that need deeper interpretation. |
| ScholarGateΣύνολο δεδομένων ↗ |
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