Vertaile menetelmiä

	Yhdenvertaisen painotuksen interventiotutkimuksen yhdistelmätutkimus	Samanaikainen triangulaatiomenetelmien yhdistelmätutkimusasetelma
Tieteenala	Tutkimusasetelma	Tutkimusasetelma
Menetelmäperhe	Process / pipeline	Process / pipeline
Syntyvuosi	2000s–2010s	2007 (formally named in Creswell & Plano Clark, 1st ed.)
Kehittäjä	Creswell & Plano Clark (weighting framework); intervention design tradition in mixed methods	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 Publications. ISBN: 978-1483344379	Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179
Rinnakkaisnimet	equal-priority intervention MMR, balanced intervention mixed methods, QUAL=QUAN intervention design, equal-status intervention mixed design	convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation
Liittyvät	6	5
Tiivistelmä	Equal-weight intervention mixed methods is a research design in which both quantitative and qualitative strands are assigned equal priority and are embedded within or alongside an intervention, program, or experiment. The design evaluates not only whether an intervention works (QUAN outcomes) but also how and why it works or fails (QUAL processes), with neither strand treated as secondary. It is particularly suited to program evaluation, clinical trials with process components, and educational or social interventions.	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.