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To propose the collaging integration procedure for linking literature and theory to research data in mixed methods research (MMR) and illustrate its application in two mixed methods studies.
Discussion paper/research methodology.
The collaging technique was used and developed based on two exploratory sequential nurse-led mixed-methods studies.
The collaging technique entails using multiple artefacts (data fragments, figures and textual information) within one figure. Collaging can generate relevant pre-post linkages, create meaning and refine inferences and meta-inferences.
This paper offers a novel integration technique for meaningful integration of the literature review and theoretical dimensions in the integration trilogy.
Nurse researchers can use the collaging integration procedure for effective integration for conducting rigorous mixed-methods research. Collaging is a straightforward yet effective technique for enhancing integration in the literature review and theoretical dimensions in MMR.
Linking literature review, theory and research data facilitates a more meaningful interpretation of research findings. While researchers may be able to create a more fully integrated MMR design by integrating multiple dimensions of the study, to date, most of the empirical and methodological literature on MMR has focused on integration at the design, fieldwork, analysis and interpretation dimensions, ignoring others, such as the literature review and theoretical dimensions. Collaging enables intensive analysis of the raw data and embeds the insights gained from literature and theory throughout the data analysis and presentation, thereby avoiding neglecting insights which could have been gained by back-and-forth comparison and integration of literature review and theoretical underpinnings.
No direct patient or public contribution.
Implementation science helps generate approaches to expedite the uptake of evidence in practice. Mixed methods are commonly used in implementation research because they allow researchers to integrate distinct qualitative and quantitative methods and data sets to unravel the implementation process and context and design contextual tools for optimizing the implementation. To date, there has been limited discussion on how to ensure rigor in mixed methods implementation research.
To present Particularity, Engagement, Actionable Inferences, Reflexivity, and Legitimation (PEARL) as a practical tool for understanding various components of rigor in mixed methods implementation research.
This methodological discussion is based on a nurse-led mixed methods implementation study. The PEARL tool was developed based on an interpretive, critical reflection, and purposive reading of selected literature sources drawn from the researchers' knowledge, experiences of designing and conducting mixed methods implementation research, and published methodological papers about mixed methods, implementation science, and research rigor.
An exemplar exploratory sequential mixed methods study in nursing is provided to illustrate the application of the PEARL tool. The proposed tool can be a useful and innovative tool for researchers and students intending to use mixed methods in implementation research. The tool offers a straightforward approach to learning the key rigor components of mixed methods implementation research for application in designing and conducting implementation research using mixed methods.
Rigorous implementation research is critical for effective uptake of innovations and evidence-based knowledge into practice and policymaking. The proposed tool can be used as the means to establish rigor in mixed methods implementation research in nursing and health sciences.
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