Módszerek összehasonlítása

	Konkurens eksplorációs szekvenciális vegyes módszertani dizájn	Multiphase Mixed Methods Design
Tudományterület	Kutatástervezés	Kutatástervezés
Módszercsalád	Process / pipeline	Process / pipeline
Keletkezés éve	2000s–2010s	2007 (first edition of Designing and Conducting Mixed Methods Research)
Megalkotó	Creswell & Plano Clark (expanded typology)	John W. Creswell & Vicki L. Plano Clark
Típus	Mixed methods research design	Mixed methods research design
Alapmű	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: 978-1483substitute
Alternatív nevek	concurrent-exploratory sequential design, QUAN+QUAL→QUAN design, concurrent exploratory mixed design, multiphase concurrent-exploratory design	multiphase design, multiproject mixed methods, programmatic mixed methods, multistage mixed methods
Kapcsolódó	6	6
Összefoglaló	Concurrent exploratory sequential mixed methods design is an advanced mixed methods configuration that combines two timing structures: a concurrent (simultaneous) data-collection phase alongside an exploratory sequential strand, in which early qualitative findings inform the development or refinement of a quantitative component. This hybrid is used when a study needs both real-time integration of qualitative and quantitative data and an instrument-building or theory-testing phase driven by initial qualitative exploration.	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.