What is it about?
In mixed methods research, results are generated sometimes through merging qualitative and quantitative data in a mixed analysis. This can be done through a joint display or series of joint display. The language of equal priority isn't quite accurate to describe analysis like this because it it is generally applied to complementarity logic: QUAL + QUANT.
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Why is it important?
Expanding the language about priority in mixed methods research to include mixed priority can help researchers with terminology that communicates as clearly as possible their intent and research design.
Perspectives
In all my writing, my attention has always been about how to integrate the different perspectives often offered by qualitative and quantitative analyses of the same constructs. This often occurs in tables and figures.
Professor Emerita Elizabeth Greene Creamer
Virginia Polytechnic Institute and State University
Read the Original
This page is a summary of: Weighing Mixing in a Decision About Priority in Mixed Methods Research, Journal of Mixed Methods Research, June 2024, SAGE Publications,
DOI: 10.1177/15586898241256692.
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