השוואת שיטות

	גישת מחקר מעורבת פרגמטית	עיצוב מחקר מעורב שיטתי חלוצי
תחום	תכנון מחקר	תכנון מחקר
משפחה	Process / pipeline	Process / pipeline
שנת המקור	Early 2000s (formalised); pragmatism as philosophy late 19th–early 20th century	1990s–2000s (codified by ~2007)
הוגה השיטה	John W. Creswell & Vicki L. Plano Clark (formalised); philosophical grounding in William James, John Dewey, Richard Rorty	John W. Creswell & Vicki L. Plano Clark
סוג	Mixed methods research design	Mixed methods research design
מקור מכונן	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
כינויים	pragmatic MMR, pragmatism-guided mixed methods, pragmatic inquiry design, practical mixed methods	QUAL → QUAN design, exploratory sequential design, instrument-development design, theory-building mixed methods
קשורות	6	6
תקציר	Pragmatic mixed methods design is a research approach that selects and combines quantitative and qualitative methods based on what best answers the research question, rather than adhering to a single philosophical paradigm. Rooted in the philosophical tradition of pragmatism — associated with William James, John Dewey, and later Richard Rorty — it treats methodological fit and practical utility as the primary criteria for design decisions. The approach is endorsed by leading mixed methods scholars including Creswell and Plano Clark as the most common philosophical worldview underpinning mixed methods work.	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.