Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Συμμετοχικός Ταυτόχρονος Ενσωματωμένος Σχεδιασμός Μικτών Μεθόδων× | Σχεδιασμός Μικτών Μεθόδων με Ταυτόχρονη Τριγωνοποίηση× | |
|---|---|---|
| Πεδίο | Ερευνητικός Σχεδιασμός | Ερευνητικός Σχεδιασμός |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 2000s–2010s | 2007 (formally named in Creswell & Plano Clark, 1st ed.) |
| Δημιουργός≠ | Creswell & Plano Clark (embedded design); Mertens, Tashakkori & Teddlie (participatory frameworks) | 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. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179 |
| Εναλλακτικές ονομασίες | participatory embedded concurrent design, action-research embedded mixed methods, PAR concurrent embedded design, community-based embedded mixed methods | convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation |
| Συναφείς≠ | 4 | 5 |
| Σύνοψη≠ | Participatory concurrent embedded mixed methods is a research design that combines a participatory or community-based action research framework with an embedded concurrent data structure — simultaneously collecting dominant and supplementary data strands from community stakeholders who are active co-investigators rather than passive subjects. The embedded strand (typically qualitative) is nested within the dominant strand (typically quantitative) and both are gathered at the same time while community members guide priorities, instruments, and meaning-making throughout. | The concurrent triangulation mixed methods design collects quantitative and qualitative data simultaneously, analyzes each strand independently, and then merges the results to assess whether the two data sources corroborate one another. Often called the convergent parallel design, it is one of the foundational configurations in mixed methods research and is chosen specifically when the researcher wants to cross-validate or triangulate findings from two distinct methodological traditions. |
| ScholarGateΣύνολο δεδομένων ↗ |
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