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Thiết kế phương pháp hỗn hợp đa cấp trọng số ngang bằng×Thiết kế phương pháp hỗn hợp đa cấp×
Lĩnh vựcThiết kế nghiên cứuThiết kế nghiên cứu
HọProcess / pipelineProcess / pipeline
Năm ra đời2000s–2010sLate 1990s–2000s
Người khởi xướngTashakkori & Teddlie; Creswell & Plano ClarkBonnie Nastasi, John Hitchcock, and collaborators; systematized by Creswell & Plano Clark
LoạiMixed methods research designMixed methods research design
Công trình gốcCreswell, J. W., & Plano Clark, V. L. (2017). 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
Tên gọi khácQUAN+QUAL multilevel design, equal-status multilevel mixed methods, balanced multilevel mixed methods, equal-priority multilevel mixed methodsmultilevel MMR, nested mixed methods, hierarchical mixed methods design, cross-level mixed methods
Liên quan65
Tóm tắtEqual-weight multilevel mixed methods is a mixed methods design in which quantitative and qualitative data strands are collected at two or more distinct levels of a social system — such as students, classrooms, and schools — and both strands carry equal analytic priority. The QUAN+QUAL notation (where '+' signals equal weight) is applied across each level, and integration occurs both within and between levels to build a comprehensive, multi-perspectival understanding.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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ScholarGateSo sánh phương pháp: Equal-weight multilevel mixed methods · Multilevel Mixed Methods Design. Truy cập ngày 2026-06-17 từ https://scholargate.app/vi/compare