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Rinnakkainen upotettu sekamenetelmämalli, jossa painoarvo on yhtä suuri×Monitason sekamenetelmäsuunnittelu×
TieteenalaTutkimusasetelmaTutkimusasetelma
MenetelmäperheProcess / pipelineProcess / pipeline
Syntyvuosi2007–2011Late 1990s–2000s
KehittäjäJohn W. Creswell & Vicki L. Plano ClarkBonnie Nastasi, John Hitchcock, and collaborators; systematized by Creswell & Plano Clark
TyyppiMixed methods research designMixed methods research design
AlkuperäislähdeCreswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage Publications. ISBN: 978-1483357829
Rinnakkaisnimetequal-status embedded design, equal-priority concurrent embedded design, balanced embedded mixed methods, QUAN+QUAL embedded designmultilevel MMR, nested mixed methods, hierarchical mixed methods design, cross-level mixed methods
Liittyvät65
TiivistelmäThe equal-weight concurrent embedded mixed methods design collects quantitative and qualitative data simultaneously, with one strand nested inside the other, while assigning both strands equivalent analytic priority. Unlike the standard embedded design where one dominant strand drives the study and the other plays a supporting role, the equal-weight variant treats both strands as co-equal contributors to understanding the research problem, demanding rigorous analysis of both before integration.Multilevel mixed methods design is a research approach that collects and integrates both quantitative and qualitative data at two or more distinct levels of a social or organizational hierarchy — for example, individuals nested within classrooms, classrooms within schools, or patients within healthcare teams. By pairing quantitative measurement of outcomes at one level with qualitative exploration of meaning at another, researchers gain a richer, more complete picture than either strand alone could provide.
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ScholarGateVertaile menetelmiä: Equal-weight concurrent embedded mixed methods design · Multilevel Mixed Methods Design. Haettu 2026-06-17 osoitteesta https://scholargate.app/fi/compare