Vertaile menetelmiä
Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.
| Qualitative-dominant exploratory sequential mixed methods× | Laatuun painottuva monimenetelmällinen suunnittelu× | |
|---|---|---|
| Tieteenala | Tutkimusasetelma | Tutkimusasetelma |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 2003–2007 | 1991–2003 (formalized in mixed methods typologies) |
| Kehittäjä≠ | Creswell & Plano Clark; Morse (priority notation) | Janice Morse; John W. Creswell & Vicki L. Plano Clark |
| Tyyppi | Mixed methods research design | Mixed methods research design |
| Alkuperäislähde | 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 |
| Rinnakkaisnimet | QUAL-dominant exploratory sequential design, qual-first exploratory mixed methods, qualitative-priority exploratory sequential MMR, QUAL → quan exploratory design | QUAL-dominant mixed methods, qualitative-dominant mixed design, qual-priority MMR, qualitative-weighted mixed methods |
| Liittyvät | 6 | 6 |
| Tiivistelmä≠ | This design begins with a substantive qualitative phase (QUAL) that drives the study, followed by a smaller quantitative phase (quan) used to test, refine, or extend qualitative findings to a broader sample. The qualitative strand holds priority in both scope and interpretation; the quantitative strand serves a confirmatory or generalisability function. It is particularly well suited when theory or instrument development must be grounded in participants' own frameworks before statistical testing. | 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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