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Framework for types of metainferences in mixed methods research.
Ahtisham Younas1, Sergi Fàbregues2, Sarah Munce3
1Memorial University of Newfoundland & Labrador, 300 Prince Philip Drive, St. John's, Newfoundland and Labrador, A1B 3V6, Canada. ay6133@mun.ca.
BMC Medical Research Methodology
|January 25, 2025
Summary
This study introduces a framework for metainferences in mixed methods research (MMR). It identifies two broad types and five subtypes of metainferences to guide future research and enhance understanding of MMR insights.
Area of Science:
- Social Sciences
- Research Methodology
Background:
- Metainferences are crucial in mixed methods research (MMR).
- Existing literature discusses metainference quality and generation but lacks clarity on emergent insights.
- This study addresses the gap in understanding the types of insights derived from metainferences in MMR.
Purpose of the Study:
- To conceptualize and present the types and forms of metainferences in MMR studies.
- To provide a practical framework for identifying and recognizing metainferences.
- To guide future MMR projects and discussions on metainference characteristics.
Main Methods:
- A critical review of relevant literature was conducted.
- Searches included peer-reviewed articles, book chapters, and research reports.
- Databases and journals focused on mixed methods research were utilized.
Main Results:
- Two broad types of metainferences were proposed: global and specific.
- Five subtypes were identified: relational, predictive, causal, comparative, and elaborative.
- Examples from empirical MMR studies illustrate each metainference type.
Conclusions:
- This paper offers a novel framework for metainferences in MMR.
- The framework aids researchers and educators in identifying and utilizing metainferences.
- It advances the understanding and application of metainferences in mixed methods research.
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