Comparar métodos

	Meta-inferência de Métodos Mistos	Design Multifásico de Métodos Mistos
Área	Delineamento de pesquisa	Delineamento de pesquisa
Família	Process / pipeline	Process / pipeline
Ano de origem	1998–2003	2007 (first edition of Designing and Conducting Mixed Methods Research)
Autor original	Abbas Tashakkori & Charles Teddlie	John W. Creswell & Vicki L. Plano Clark
Tipo	Mixed methods integration procedure	Mixed methods research design
Fonte seminal	Teddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Sage. ISBN: 978-0761930129	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483substitute
Outros nomes	meta-inference, mixed methods overall inference, integrated inference, MMR meta-inference	multiphase design, multiproject mixed methods, programmatic mixed methods, multistage mixed methods
Relacionados	6	6
Resumo	Mixed methods meta-inference is the overarching conclusion drawn at the end of a mixed methods study by systematically combining and integrating the separate inferences produced by the quantitative and qualitative strands. It represents the highest-level interpretive act in mixed methods research: moving beyond strand-specific findings to produce a unified, coherent understanding of the research problem that neither strand could yield alone.	The multiphase mixed methods design is a sustained research program in which quantitative and qualitative strands are combined across three or more sequential phases — or across multiple related projects — to address a central program objective. Each phase builds on the prior phase's findings, making the design well-suited to long-term evaluation, intervention development, and large-scale program assessment where a single data-collection cycle cannot fully address the complexity of the research problem.