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Digital Resources

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Data Transformation in Mixed Methods Systematic Reviews 

When and how to use data transformation in reviews
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Data Transformation in Mixed Methods Systematic Reviews 

When and how to use data transformation in mixed methods systematic reviews

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Data Extraction in Mixed method Systematic Reviews

The second part in a 3-part mixed methods systematic review series

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Data integration in mixed methods systematic reviews

The third part of a 3-part mixed methods systematic

review series

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Which approach? Convergent integrated or convergent segregated?

An excerpt from the JBI LIVE webinar, ‘The JBI Approach to Mixed Methods Systematic Reviews’

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A worked example of a mixed methods systematic review

An excerpt from the JBI LIVE webinar, ‘The JBI Approach to Mixed Methods Systematic Reviews’

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Common pitfalls in mixed methods systematic reviews - What can we learn?

An excerpt from the JBI LIVE webinar, ‘The JBI Approach to Mixed Methods Systematic Reviews’

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‘The JBI Approach to Mixed Methods Systematic Reviews’

An overview of the JBI approach to mixed methods systematic reviews, with practical considerations for people conducting their own mixed methods systematic reviews, or for those who use them.

 

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Importance of mixed methods systematic reviews

A short podcast

Publications

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Five common pitfalls in mixed methods systematic reviews: lessons learned

Lizarondo, L et al 2022

Common pitfalls in conducting a mixed methods systematic review relate to the justification for undertaking a mixed methods approach to the systematic review, mismatch between the review questions and the synthesis/integration approach used, inadvertent or deliberate exclusion of mixed methods primary research in the review, lack of clarity about data transformation, and the lack of integration of the quantitative and qualitative components of the review.

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Methodological guidance for the conduct of mixed methods systematic reviews

Stern, C et al 2020

This paper outlines the updated methodological approach for conducting a JBI mixed methods systematic review with a focus on data synthesis; specifically, methods related to how data are combined and the overall integration of the quantitative and qualitative evidence.