Comparar métodos

	Embedded Intervention Mixed Methods	Desenho Explicativo Sequencial de Métodos Mistos
Área	Delineamento de pesquisa	Delineamento de pesquisa
Família	Process / pipeline	Process / pipeline
Ano de origem	2000s–2010s	2007 (formalized in Creswell & Plano Clark's mixed methods typology)
Autor original	Creswell & Plano Clark (embedded design framework); intervention application developed in health, education, and program evaluation research	John W. Creswell & Vicki L. Plano Clark
Tipo	Mixed methods research design	Mixed methods research design
Fonte seminal	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). SAGE Publications. ISBN: 978-1483344379	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
Outros nomes	nested intervention mixed methods, embedded experimental mixed methods, mixed methods intervention design with embedded strand, EIMM	explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design
Relacionados	4	6
Resumo	Embedded intervention mixed methods is a research design in which a qualitative strand is nested within a primary quantitative intervention (experimental or quasi-experimental) study. The quantitative component tests whether an intervention works; the embedded qualitative component illuminates how and why it works — or does not work — for participants. The two strands run concurrently or sequentially within a single overarching study framework, with integration occurring during interpretation.	The explanatory sequential mixed methods design is a two-phase research approach in which a quantitative study is conducted first, and qualitative data are then collected specifically to help explain or elaborate the initial quantitative results. The quantitative phase carries greater priority; the qualitative phase is purposefully built around the findings — such as surprising results, outliers, or statistically significant relationships — that need deeper interpretation.