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Quantitative-dominant concurrent triangulation mixed methods

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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Quantitative-Dominant Concurrent Triangulation Mixed Methods Design

Taksonoomiline meetodikirje · process-pipeline / research-design

Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. · ISBN 978-1412975179
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

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Taxonomic bucketConcurrent Mixed Methods Meta-Inferencemachine-suggested · Relational suggestion, not evidence.Taxonomic bucketConcurrent Triangulation Mixed Methods Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketExplanatory Sequential Mixed Methods Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketQuantitative-dominant concurrent embedded mixed methodsmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketQuantitative-priority mixed methods designmachine-suggested · Relational suggestion, not evidence.