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 | |
| 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 RoverKeywords
- data integration
- mixed methods research
- interdisciplinary research
- pillar integration process
- data synthesis
