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The Extended Pillar Integration Process (ePIP) : a data integration method allowing the systematic synthesis of findings from three different sources

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Gauly, Julia, Ulahannan, Arun and Grove, Amy L. (2022) The Extended Pillar Integration Process (ePIP) : a data integration method allowing the systematic synthesis of findings from three different sources. Journal of Mixed Methods Research . 155868982211354. doi:10.1177/15586898221135409 ISSN 1558-6901. (In Press)

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Official URL: https://doi.org/10.1177/15586898221135409

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Abstract

Mixed methods research requires data integration from multiple sources. Existing techniques are restricted to integrating a maximum of two data sources, do not provide step-by-step guidance or can be cumbersome where many data need to be integrated. We have solved these limitations through the development of the extended Pillar Integration Process (ePIP), a method which contributes to the field of mixed methods by being the first data integration method providing explicit steps on how to integrate data from three data sources. The ePIP provides greater transparency, validity and consistency compared to existing methods. We provide two worked examples from health sciences and automotive human factors, highlighting its value as a mixed methods integration tool.

Item Type: Journal Article
Divisions: Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School
SWORD Depositor: Library Publications Router
Journal or Publication Title: Journal of Mixed Methods Research
Publisher: SAGE Publications
ISSN: 1558-6901
Official Date: 22 October 2022
Dates:
DateEvent
22 October 2022Published
Article Number: 155868982211354
DOI: 10.1177/15586898221135409
Status: Peer Reviewed
Publication Status: In Press
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 25 November 2022
Date of first compliant Open Access: 25 November 2022

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