পদ্ধতির তুলনা করুন

	সিকোয়েন্সিয়াল ট্রান্সফরমেটিভ মিক্সড মেথডস ডিজাইন	বহুমাত্রিক মিশ্র পদ্ধতি নকশা
ক্ষেত্র	গবেষণা নকশা	গবেষণা নকশা
পরিবার	Process / pipeline	Process / pipeline
উদ্ভবের বছর	2003–2007 (Mertens 2003; Creswell & Plano Clark 2007)	Late 1990s–2000s
প্রবর্তক	Donna M. Mertens (transformative framework); John W. Creswell & Vicki L. Plano Clark (mixed methods typology)	Bonnie Nastasi, John Hitchcock, and collaborators; systematized by Creswell & Plano Clark
ধরন	Mixed methods research design	Mixed methods research design
মৌলিক উৎস	Mertens, D. M. (2009). Transformative Research and Evaluation. Guilford Press. ISBN: 978-1593856670	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage Publications. ISBN: 978-1483357829
অপর নাম	sequential transformative design, transformative sequential MMR, Seq-TRAN mixed methods, sequential transformative research	multilevel MMR, nested mixed methods, hierarchical mixed methods design, cross-level mixed methods
সম্পর্কিত	5	5
সারসংক্ষেপ	Sequential transformative mixed methods design combines the temporal structure of sequential mixed methods — collecting qualitative and quantitative data in two distinct, ordered phases — with a transformative theoretical framework that centres social justice, equity, and the perspectives of marginalized communities. Either the qualitative or the quantitative phase may come first; the sequence is determined by what the transformative research question demands. The design is guided by the work of Donna Mertens and is systematized in the Creswell and Plano Clark mixed methods typology.	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.