Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Σχεδιασμός Μικτών Μεθόδων Παρέμβασης με Κυρίαρχη Ποιοτική Προσέγγιση× | Σχεδιασμός Μικτών Μεθόδων με Ποιοτική Προτεραιότητα× | |
|---|---|---|
| Πεδίο | Ερευνητικός Σχεδιασμός | Ερευνητικός Σχεδιασμός |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 2000s–2010s | 1991–2003 (formalized in mixed methods typologies) |
| Δημιουργός≠ | Creswell & Plano Clark; Teddlie & Tashakkori | Janice Morse; 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 Publications. 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 | qual-dominant intervention MMR, qualitatively driven intervention design, QUAL+quan intervention design, qualitative-priority intervention mixed methods | QUAL-dominant mixed methods, qualitative-dominant mixed design, qual-priority MMR, qualitative-weighted mixed methods |
| Συναφείς | 6 | 6 |
| Σύνοψη≠ | Qualitative-dominant intervention mixed methods is a research design in which qualitative inquiry carries primary theoretical and interpretive weight while quantitative data provide supplementary evidence, both strands applied within an intervention or program context. The design is used when understanding the lived experience of participants, the mechanisms of an intervention, and the meaning-making around change are more central to the research purpose than measuring effect sizes alone. | Qualitative-priority mixed methods design is a mixed methods approach in which qualitative inquiry carries the greater weight — in terms of volume, analytical depth, and interpretive authority — while a supplementary quantitative strand provides supporting evidence. The design acknowledges that the phenomenon under study is best understood through meaning-making, lived experience, or social processes, with numbers used to corroborate or contextualize, not to dominate, the research story. |
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