Process / pipelineMixed methods design
Quantitative-Priority Mixed Methods Design
Quantitative-priority mixed methods design is a research approach in which quantitative data and analysis carry the primary explanatory weight, while qualitative data play a supplementary or corroborating role. The researcher collects and analyzes quantitative data first (or concurrently with greater emphasis), then uses qualitative findings to elaborate, explain, or contextualize the statistical results. Priority and sequence together define where integration occurs and how each strand informs the other.
Find Topic with PaperMindSoonVideoSoon
Read the full method
Members only
Sign inSign in with a free account to read this section.
Sources
- Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
- Teddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Sage. ISBN: 978-0761930129
Related methods
Referenced by
Embedded Quantitative-Priority Mixed DesignEqual-weight case-focused mixed methodsEqual-weight concurrent triangulation mixed methods designEqual-weight explanatory sequential mixed methods designEqual-weight pragmatic mixed methodsEqual-weight transformative mixed methods designEvaluation-oriented quantitative-priority mixed methods designParticipatory Quantitative-Priority Mixed DesignQualitative-priority mixed methods designQuantitative-dominant concurrent embedded mixed methodsQuantitative-dominant concurrent triangulation mixed methodsQuantitative-dominant explanatory sequential mixed methodsQuantitative-dominant intervention mixed methodsQuantitative-dominant mixed methods meta-inferenceQuantitative-dominant multilevel mixed methodsQuantitative-dominant multiphase mixed methodsQuantitative-dominant pragmatic mixed methodsQuantitative-dominant transformative mixed methodsSequential Quantitative-Priority Mixed Design