Сравнение на методи

	Последователни прагматични смесени методи	Експлораторно-последователен дизайн с комбинирани методи
Област	Дизайн на изследването	Дизайн на изследването
Семейство	Process / pipeline	Process / pipeline
Година на възникване	2003–2010	1990s–2000s (codified by ~2007)
Създател	Creswell & Plano Clark; Tashakkori & Teddlie (pragmatic worldview formalization)	John W. Creswell & Vicki L. Plano Clark
Тип	Mixed methods research design	Mixed methods research design
Основополагащ източник	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
Други названия	sequential pragmatic MMR, pragmatic sequential mixed design, sequential pragma-driven mixed methods, pragmatism-guided sequential mixed methods	QUAL → QUAN design, exploratory sequential design, instrument-development design, theory-building mixed methods
Свързани	5	6
Резюме	Sequential pragmatic mixed methods is a mixed-methods research design in which quantitative and qualitative data strands are collected and analyzed in a defined sequence — one strand following and building on the other — with the entire design anchored in a pragmatic philosophical worldview. Pragmatism foregrounds research usefulness and problem-solving, treating method choice as a practical decision rather than an ideological commitment, and it provides the integrative logic for combining the two strands into actionable insights.	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.