The Extended Pillar Integration Process (ePIP)
A Data Integration Method Allowing the Systematic Synthesis of Findings From Three Different Sources
Bibliographic Data
| ID | 12811562 |
|---|---|
| Authors | Julia Gauly (0000-0002-7835-0882, University of Warwick, corresponding author), Arun Ulahannan (0000-0001-7057-8041, Coventry University), Amy Grove (0000-0002-8027-7274, University of Warwick) |
| Year | 2022 |
| Volume | 18 |
| Issue | 1 |
| Pages | 31-47 |
| Publication date | 2022-10-22 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Mixed Methods Research (JOURNAL) |
| Journal identifiers | ISSN: 1558-6898 • E-ISSN: 1558-6901 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/15586898221135409 |
| OpenAlex | W4307135835 |
| Language | EN |
| Citations received | 5 |
| References cited | 34 |
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
Consistency (knowledge bases · Data integration · Data mining · Data science · Field (mathematics · Industrial engineering · Management science · Process (computing · Systems engineering · Transparency (behavior · Computer Science · Engineering · Health Policy Implementation Science · Health Systems, Economic Evaluations, Quality of Life · Mathematics · Urban Transport and Accessibility · Artificial Intelligence
Evidencing the relational and situated aspects of complex social systems affecting health
The Benefits and Complexities of Integrating Mixed Method Findings Using the Pillar Integration Process
Top Down and Bottom Up
In This Issue
Unlocking the Potential of an Adapted Extended Pillar Integration Process
The Mixed Methods Research Workbook
Three techniques for integrating data in mixed methods studies
Integrating Quantitative and Qualitative Results in Health Science Mixed Methods Research Through Joint Displays
Case Study Research
Achieving Integration in Mixed Methods Designs—Principles and Practices
The Oxford Handbook of Multimethod and Mixed Methods Research Inquiry
Debrief Reports to Expedite the Impact of Qualitative Research
Virtual Special Issue on “Integration in Mixed Methods Research”
Barriers to Integrating Quantitative and Qualitative Research
Toward a Definition of Mixed Methods Research
The 1 + 1 = 3 Integration Challenge
Pillar Integration Process
Mixed Methods Research in Developing Country Contexts
Mixed Methods Research
Developing and Implementing a Triangulation Protocol for Qualitative Health Research
Using Joint Display as an Analytic Process
Integrating quantitative and qualitative research
Triangulation and integration
Peer Debriefing in Qualitative Research
| Unique citing works | 5 |
|---|---|
| Citations per year | 1,67 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 5 |