Power, Benefits, and Visibility in Qualitatively Driven Mixed Methods Research

This article demonstrates the importance of power, benefits, and visibility in understanding the past, present, and future of qualitatively driven mixed methods research. For power, I examine the past roles played by both quantitative and qualitative methods, and the greater influence of quantitative methods in the development of mixed methods. For benefits, I discuss the need for value added in our current studies, and sequential designs that give equal attention to both qualitatively driven and quantitatively driven approaches. For visibility, I emphasize the future importance of promoting qualitatively driven designs, such as sequential sampling and sequential transferability. The article contributes to mixed methods by calling for both more attention to large QUAL and small quan components in mixed methods designs.

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Publication Details

Journal
Journal of Mixed Methods Research
Published
2025-11-06
DOI
https://doi.org/10.1177/15586898251396763
Primary Topic
Health Policy Implementation Science
Type
article
Field-Weighted Citation Impact
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article

Power, Benefits, and Visibility in Qualitatively Driven Mixed Methods Research

David L. Morgan
Journal of Mixed Methods Research
Health Policy Implementation Science
article

Power, Benefits, and Visibility in Qualitatively Driven Mixed Methods Research

David L. Morgan
article en

Abstract

This article demonstrates the importance of power, benefits, and visibility in understanding the past, present, and future of qualitatively driven mixed methods research. For power, I examine the past roles played by both quantitative and qualitative methods, and the greater influence of quantitative methods in the development of mixed methods. For benefits, I discuss the need for value added in our current studies, and sequential designs that give equal attention to both qualitatively driven and quantitatively driven approaches. For visibility, I emphasize the future importance of promoting qualitatively driven designs, such as sequential sampling and sequential transferability. The article contributes to mixed methods by calling for both more attention to large QUAL and small quan components in mixed methods designs.

Journal of Mixed Methods Research
Portland State University (US)
Openalex Percentile: Top 50%
Health Policy Implementation Science
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