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Дизайн с равным весом в рамках трансформативного смешанного метода×Партисипативное мета-заключение смешанными методами×
ОбластьДизайн исследованияДизайн исследования
СемействоProcess / pipelineProcess / pipeline
Год появления2003–20111998–2010
Автор методаDonna M. Mertens; John W. Creswell & Vicki L. Plano ClarkAbbas Tashakkori & Charles Teddlie (meta-inference concept); extended to participatory contexts by Sweetman, Badiee & Creswell
ТипMixed methods research designIntegrative inference procedure within participatory mixed methods
Основополагающий источникCreswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). SAGE Publications. ISBN: 978-1412972666
Другие названияQUAN+QUAL transformative design, equal-priority transformative MMR, transformative equal-status mixed design, balanced transformative mixed methodsPMMMI, participatory meta-inference, community-based mixed methods inference, integrated meta-inference in participatory research
Связанные61
СводкаThe equal-weight transformative mixed methods design combines quantitative and qualitative strands at equal priority (QUAN + QUAL) within an overarching transformative theoretical framework — such as feminist, critical race, disability rights, or social justice theory. Both data types carry equivalent evidential weight, and the entire study is structured to challenge inequity, give voice to marginalized groups, and generate findings oriented toward advocacy and social change.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.
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
  1. v1
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ScholarGateСравнение методов: Equal-weight transformative mixed methods design · Participatory Mixed Methods Meta-Inference. Получено 2026-06-18 из https://scholargate.app/ru/compare