Σύγκριση μεθόδων

	Ενσωματωμένη Μετα-Συμπερασματολογία Μικτών Μεθόδων	Σχεδιασμός Επεξηγηματικών Διαδοχικών Μεικτών Μεθόδων
Πεδίο	Ερευνητικός Σχεδιασμός	Ερευνητικός Σχεδιασμός
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	2003–2007	2007 (formalized in Creswell & Plano Clark's mixed methods typology)
Δημιουργός	Abbas Tashakkori & Charles Teddlie (meta-inference concept); John W. Creswell & Vicki L. Plano Clark (embedded design framework)	John W. Creswell & Vicki L. Plano Clark
Τύπος	Mixed methods inference procedure	Mixed methods research design
Θεμελιώδης πηγή	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
Εναλλακτικές ονομασίες	embedded MMR meta-inference, meta-inference in embedded design, integrated meta-inference (embedded), EMMD meta-inference	explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design
Συναφείς	6	6
Σύνοψη	Embedded mixed methods meta-inference is the process of drawing a single, overarching conclusion by integrating the inferences from a dominant (primary) strand and an embedded (secondary) strand within an embedded mixed methods design. The embedded strand — typically qualitative nested inside a quantitative study, or vice versa — answers a supplemental question, and meta-inference synthesises both strands into one coherent interpretive claim that neither strand could produce alone.	The explanatory sequential mixed methods design is a two-phase research approach in which a quantitative study is conducted first, and qualitative data are then collected specifically to help explain or elaborate the initial quantitative results. The quantitative phase carries greater priority; the qualitative phase is purposefully built around the findings — such as surprising results, outliers, or statistically significant relationships — that need deeper interpretation.