Сравнение методов

	Параллельный мета-анализ смешанных методов	Исследовательский последовательный дизайн со смешанными методами
Область	Дизайн исследования	Дизайн исследования
Семейство	Process / pipeline	Process / pipeline
Год появления	2003	1990s–2000s (codified by ~2007)
Автор метода	Abbas Tashakkori & Charles Teddlie	John W. Creswell & Vicki L. Plano Clark
Тип	Mixed methods research design	Mixed methods research design
Основополагающий источник	Tashakkori, A., & Teddlie, C. (Eds.). (2003). Handbook of Mixed Methods in Social and Behavioral Research. Sage. ISBN: 978-0761920731	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
Другие названия	concurrent meta-inference, simultaneous mixed methods meta-inference, parallel strand meta-inference, QUAN+QUAL meta-inference	QUAL → QUAN design, exploratory sequential design, instrument-development design, theory-building mixed methods
Связанные	6	6
Сводка	Concurrent mixed methods meta-inference is a research design in which quantitative and qualitative data strands are collected simultaneously and then subjected to a formal meta-inferential process — drawing a unified, overarching conclusion that transcends what either strand alone could produce. The concurrent timing means neither strand informs the collection of the other; instead, both strands converge at the analysis-integration stage where meta-inferences are constructed.	The exploratory sequential mixed methods design is a two-phase research framework in which a qualitative phase is conducted first to explore a poorly understood phenomenon, and the findings then inform a subsequent quantitative phase — typically to develop and test a survey instrument, measure a theory, or generalize qualitative insights to a larger population. The qualitative strand guides what is measured; the quantitative strand tests or extends those findings at scale.