השוואת שיטות

	תכנון שיטות מעורבות טרנספורמטיבי דומיננטי איכותנית	הסקה מטא-משתתפת בשיטות מעורבות
תחום	תכנון מחקר	תכנון מחקר
משפחה	Process / pipeline	Process / pipeline
שנת המקור	2003–2010	1998–2010
הוגה השיטה	Donna M. Mertens (transformative framework); John W. Creswell & Vicki L. Plano Clark (weighting typology)	Abbas Tashakkori & Charles Teddlie (meta-inference concept); extended to participatory contexts by Sweetman, Badiee & Creswell
סוג	Mixed methods research design	Integrative inference procedure within participatory mixed methods
מקור מכונן	Mertens, D. M. (2009). Transformative Research and Evaluation. Guilford Press. ISBN: 978-1593856267	Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). SAGE Publications. ISBN: 978-1412972666
כינויים	QUAL-dominant transformative MMR, qualitative-priority transformative design, QUAL+ transformative mixed methods, transformative mixed methods with qualitative priority	PMMMI, participatory meta-inference, community-based mixed methods inference, integrated meta-inference in participatory research
קשורות	6	1
תקציר	Qualitative-dominant transformative mixed methods is a mixed methods research design in which qualitative data carry the primary evidential weight while quantitative data serve a supplementary role, and the entire inquiry is governed by a transformative theoretical framework — one committed to social justice, equity, and the amplification of marginalized voices. The design produces rich contextual understanding alongside statistical corroboration to advance emancipatory or advocacy-oriented goals.	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.