Comparar métodos

	Métodos Mistos Sequenciais Exploratórios Participativos	Design de Métodos Mistos de Triangulação Concorrente
Área	Delineamento de pesquisa	Delineamento de pesquisa
Família	Process / pipeline	Process / pipeline
Ano de origem	2007–2011 (participatory variant codified in Creswell & Plano Clark's typology expansions)	2007 (formally named in Creswell & Plano Clark, 1st ed.)
Autor original	John W. Creswell & Vicki L. Plano Clark (exploratory sequential base); Donna M. Mertens (participatory/transformative lens)	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. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179
Outros nomes	participatory QUAN→QUAL design, community-based exploratory sequential design, participatory two-phase mixed methods, QUAL→QUAN participatory design	convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation
Relacionados	5	5
Resumo	Participatory exploratory sequential mixed methods is a two-phase design in which an initial qualitative phase — conducted with and by community members — generates findings that are used to build or refine a quantitative instrument or intervention, which is then tested in a second phase. The participatory lens ensures that affected communities co-own the research agenda, the data, and the interpretation throughout both phases.	The concurrent triangulation mixed methods design collects quantitative and qualitative data simultaneously, analyzes each strand independently, and then merges the results to assess whether the two data sources corroborate one another. Often called the convergent parallel design, it is one of the foundational configurations in mixed methods research and is chosen specifically when the researcher wants to cross-validate or triangulate findings from two distinct methodological traditions.