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طرح روش‌های آمیخته تعبیه‌شده همزمان با وزن برابر×طراحی روش‌های ترکیبی چندسطحی×
حوزهطراحی پژوهشطراحی پژوهش
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش2007–2011Late 1990s–2000s
پدیدآورJohn W. Creswell & Vicki L. Plano ClarkBonnie Nastasi, John Hitchcock, and collaborators; systematized by Creswell & Plano Clark
نوعMixed methods research designMixed methods research design
منبع بنیادینCreswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage Publications. ISBN: 978-1483357829
نام‌های دیگرequal-status embedded design, equal-priority concurrent embedded design, balanced embedded mixed methods, QUAN+QUAL embedded designmultilevel MMR, nested mixed methods, hierarchical mixed methods design, cross-level mixed methods
مرتبط65
خلاصهThe equal-weight concurrent embedded mixed methods design collects quantitative and qualitative data simultaneously, with one strand nested inside the other, while assigning both strands equivalent analytic priority. Unlike the standard embedded design where one dominant strand drives the study and the other plays a supporting role, the equal-weight variant treats both strands as co-equal contributors to understanding the research problem, demanding rigorous analysis of both before integration.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.
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ScholarGateمقایسهٔ روش‌ها: Equal-weight concurrent embedded mixed methods design · Multilevel Mixed Methods Design. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare