Methoden vergelijken

	Kwantitatief-Dominante Mixed Methods Meta-Inferentie	Concurrente triangulatie mixed methods design
Vakgebied	Onderzoeksontwerp	Onderzoeksontwerp
Familie	Process / pipeline	Process / pipeline
Jaar van ontstaan	2003–2007	2007 (formally named in Creswell & Plano Clark, 1st ed.)
Grondlegger	Tashakkori & Teddlie (meta-inference concept); Creswell & Plano Clark (dominance weighting framework)	John W. Creswell & Vicki L. Plano Clark
Type	Mixed methods integration procedure	Mixed methods research design
Oorspronkelijke bron	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. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179
Aliassen	QUAN-dominant meta-inference, quantitatively weighted meta-inference, QUAN-priority integration inference, quantitative-weighted mixed inference	convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation
Verwant	6	5
Samenvatting	Quantitative-dominant mixed methods meta-inference is an integration procedure in which the researcher draws an overarching conclusion by combining inferences from both quantitative and qualitative strands, while explicitly assigning greater evidential weight to the quantitative results. The qualitative strand serves a supporting, elaborating, or contextualizing role rather than an equal voice in the final interpretation.	The concurrent triangulation mixed methods design collects quantitative and qualitative data simultaneously, analyzes each strand independently, and then merges the results to assess whether the two data sources corroborate one another. Often called the convergent parallel design, it is one of the foundational configurations in mixed methods research and is chosen specifically when the researcher wants to cross-validate or triangulate findings from two distinct methodological traditions.