Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Jauktas metodes ar vienlaicīgu intervenci× | Eksploratīvā secīgā jauktās metodes dizains× | |
|---|---|---|
| Nozare | Pētījuma dizains | Pētījuma dizains |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2000s–2010s | 1990s–2000s (codified by ~2007) |
| Autors≠ | Creswell & Plano Clark; Tashakkori & Teddlie | John W. Creswell & Vicki L. Plano Clark |
| Tips | Mixed methods research design | Mixed methods research design |
| Pirmavots | 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 |
| Citi nosaukumi | concurrent mixed methods intervention design, simultaneous intervention mixed methods, CIMM design, parallel intervention mixed methods | QUAL → QUAN design, exploratory sequential design, instrument-development design, theory-building mixed methods |
| Saistītās | 6 | 6 |
| Kopsavilkums≠ | Concurrent intervention mixed methods is a research design that embeds qualitative data collection within an experimental or quasi-experimental intervention study, with both data strands gathered simultaneously during the intervention period. Quantitative data assess intervention outcomes while qualitative data illuminate participants' experiences, implementation processes, or contextual factors — each strand informing the other at the integration stage. | The exploratory sequential mixed methods design is a two-phase research framework in which a qualitative phase is conducted first to explore a poorly understood phenomenon, and the findings then inform a subsequent quantitative phase — typically to develop and test a survey instrument, measure a theory, or generalize qualitative insights to a larger population. The qualitative strand guides what is measured; the quantitative strand tests or extends those findings at scale. |
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