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Diseño de métodos mixtos multinivel de peso igual×Diseño de Métodos Mixtos de Triangulación Concurrente×
CampoDiseño de investigaciónDiseño de investigación
FamiliaProcess / pipelineProcess / pipeline
Año de origen2000s–2010s2007 (formally named in Creswell & Plano Clark, 1st ed.)
Autor originalTashakkori & Teddlie; Creswell & Plano ClarkJohn W. Creswell & Vicki L. Plano Clark
TipoMixed methods research designMixed methods research design
Fuente seminalCreswell, J. W., & Plano Clark, V. L. (2017). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179
AliasQUAN+QUAL multilevel design, equal-status multilevel mixed methods, balanced multilevel mixed methods, equal-priority multilevel mixed methodsconvergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation
Relacionados65
ResumenEqual-weight multilevel mixed methods is a mixed methods design in which quantitative and qualitative data strands are collected at two or more distinct levels of a social system — such as students, classrooms, and schools — and both strands carry equal analytic priority. The QUAN+QUAL notation (where '+' signals equal weight) is applied across each level, and integration occurs both within and between levels to build a comprehensive, multi-perspectival understanding.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.
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ScholarGateComparar métodos: Equal-weight multilevel mixed methods · Concurrent Triangulation Mixed Methods Design. Recuperado el 2026-06-17 de https://scholargate.app/es/compare