Salīdzināt metodes

	Kvalitatīvi dominējoša jauktu metožu meta-inferenču	Konurentā triangulācijas jauktās metodes dizains
Nozare	Pētījuma dizains	Pētījuma dizains
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	2003–2010	2007 (formally named in Creswell & Plano Clark, 1st ed.)
Autors	Abbas Tashakkori & Charles Teddlie	John W. Creswell & Vicki L. Plano Clark
Tips	Mixed methods integration strategy	Mixed methods research design
Pirmavots	Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). SAGE Publications. ISBN: 978-1412972666	Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179
Citi nosaukumi	QUAL-dominant meta-inference, qualitative-priority meta-inference, qual-dominant MMR meta-inference, qualitative-weighted mixed methods integration	convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation
Saistītās	6	5
Kopsavilkums	Qualitative-dominant mixed methods meta-inference is the overarching inference-drawing process in a mixed methods study where qualitative findings carry primary explanatory weight. Meta-inference — the integrated conclusion drawn by combining qualitative and quantitative strands — is anchored to and interpreted through the richer, theoretically foregrounded qualitative findings, with quantitative results serving a supplementary, corroborating, or contextualizing function.	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.