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

التفاصيل البيبلوغرافية
العنوان: The Extended Pillar Integration Process (ePIP): A Data Integration Method Allowing the Systematic Synthesis of Findings From Three Different Sources
المؤلفون: Julia Gauly, Arun Ulahannan, Amy L. Grove
المصدر: Journal of Mixed Methods Research. :155868982211354
بيانات النشر: SAGE Publications, 2022.
سنة النشر: 2022
مصطلحات موضوعية: Statistics, Probability and Uncertainty, Social Sciences (miscellaneous), Education
الوصف: 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.
تدمد: 1558-6901
1558-6898
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::bec09c614ce1c38323f16812c22f3f28
https://doi.org/10.1177/15586898221135409
حقوق: OPEN
رقم الأكسشن: edsair.doi...........bec09c614ce1c38323f16812c22f3f28
قاعدة البيانات: OpenAIRE