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Diseño Mixto Participativo de Prioridad Cuantitativa×Meta-inferencia de métodos mixtos participativos×
CampoDiseño de investigaciónDiseño de investigación
FamiliaProcess / pipelineProcess / pipeline
Año de origen2000s–2010s1998–2010
Autor originalCreswell & Plano Clark (core typology); Mertens (participatory-transformative lens)Abbas Tashakkori & Charles Teddlie (meta-inference concept); extended to participatory contexts by Sweetman, Badiee & Creswell
TipoMixed methods research designIntegrative inference procedure within participatory mixed methods
Fuente seminalCreswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). SAGE Publications. ISBN: 978-1483358468Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). SAGE Publications. ISBN: 978-1412972666
AliasQUAN-priority participatory mixed methods, community-based quantitative-priority mixed design, participatory QUAN-dominant mixed methods, PAR quantitative-priority mixed designPMMMI, participatory meta-inference, community-based mixed methods inference, integrated meta-inference in participatory research
Relacionados51
ResumenParticipatory quantitative-priority mixed design combines a community-engaged, participatory research framework with a mixed methods structure in which the quantitative strand carries primary weight. Stakeholders and community members co-shape research questions, instruments, and interpretation, while quantitative data provide the dominant evidence base and qualitative data serve a complementary, explanatory, or contextualizing role. This design is particularly suited to applied, evaluative, and social-justice-oriented inquiry where both statistical rigor and community voice are required.Participatory mixed methods meta-inference is the process by which researchers and community co-investigators draw a unified, integrated conclusion — the meta-inference — from separately analysed qualitative and quantitative strands within a participatory mixed methods study. Grounded in the meta-inference framework of Tashakkori and Teddlie and extended into participatory and transformative research contexts, it treats the final synthesis of evidence not merely as a methodological step but as a collaborative, community-accountable act of knowledge production.
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ScholarGateComparar métodos: Participatory Quantitative-Priority Mixed Design · Participatory Mixed Methods Meta-Inference. Recuperado el 2026-06-18 de https://scholargate.app/es/compare