Process / pipelineMixed methods design

Quantitative-Dominant Concurrent Triangulation Mixed Methods Design

The quantitative-dominant concurrent triangulation mixed methods design collects quantitative (QUAN) and qualitative (qual) data simultaneously, with quantitative data carrying the primary weight. The two strands are analyzed independently and then compared or merged to triangulate findings, with the smaller qualitative strand serving to corroborate, elaborate, or nuance the quantitative results. The explicit QUAN priority means that the research questions, sampling logic, and conclusions are primarily anchored in the quantitative component.

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Sources

  1. Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179
  2. Morgan, D. L. (1998). Practical strategies for combining qualitative and quantitative methods: Applications to health research. Qualitative Health Research, 8(3), 362–376. DOI: 10.1177/104973239800800307

Related methods

ScholarGateQuantitative-dominant concurrent triangulation mixed methods (Quantitative-Dominant Concurrent Triangulation Mixed Methods Design). Retrieved 2026-06-04 from https://scholargate.app/en/research-design/quantitative-dominant-concurrent-triangulation-mixed-methods