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Quantitative-dominant explanatory sequential mixed methods

The quantitative-dominant explanatory sequential mixed methods design is a two-phase mixed methods approach in which a larger, primary quantitative study is conducted first, followed by a smaller, secondary qualitative phase that explains, elaborates, or contextualises the quantitative results. Quantitative evidence carries the greater weight in answering the research questions, while qualitative data provide interpretive depth for puzzling or unexpected statistical findings.

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Quantitative-Dominant Explanatory Sequential Mixed Methods Design

Taxonomisk metodpost · process-pipeline / research-design

Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. · ISBN 978-1483344379
Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. · ISBN 978-1452274614

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Taxonomic bucketConcurrent Triangulation Mixed Methods Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketExplanatory Sequential Mixed Methods Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketExploratory Sequential Mixed Methods Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultilevel Mixed Methods Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketQuantitative-priority mixed methods designmachine-suggested · Relational suggestion, not evidence.