The Extended Pillar Integration Process (ePIP): A Data Integration Method Allowing the Systematic Synthesis of Findings From Three Different Sources

Julia Gauly; Arun Ulahannan; Amy L. Grove

doi:10.1177/15586898221135409

The Extended Pillar Integration Process (ePIP): A Data Integration Method Allowing the Systematic Synthesis of Findings From Three Different Sources

Julia Gauly
, Arun Ulahannan
, Amy L. Grove

Centre for Future Transport and Cities

University of Warwick

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

190 Downloads (Pure)

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.

Original language	English
Pages (from-to)	31-47
Number of pages	17
Journal	Journal of Mixed Methods Research
Volume	18
Issue number	1
Early online date	22 Oct 2022
DOIs	https://doi.org/10.1177/15586898221135409
Publication status	E-pub ahead of print - 22 Oct 2022

Bibliographical note

This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).

Funder

This paper and the studies that comprise the worked examples would not have been possible without the first and second authors’ doctoral supervisors, Dr Helen Atherton, Prof Jonathan Ross, Dr Stewart Birrell and Dr Rebecca Cain, as well as funding from the University Hospitals Birmingham NHS Foundation Trust and Jaguar Land Rover

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

data integration
mixed methods research
interdisciplinary research
pillar integration process
data synthesis

Access to Document

10.1177/15586898221135409Licence: CC BY-NC

PublishedFinal published version, 809 KBLicence: CC BY-NC

Cite this

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The Extended Pillar Integration Process (ePIP): A Data Integration Method Allowing the Systematic Synthesis of Findings From Three Different Sources

Abstract

Bibliographical note

Funder

UN SDGs

Keywords

Access to Document

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Cite this