Data Integration: A Real-Time, Participant-Driven, and Visually Supported Method. (January 2021)

• Record Type: Journal Article
• Authors: Alexander, Elitsa; Eppler, Martin J.; Comi, Alice
• Is Part Of: Journal of mixed methods research. Volume 15:Number 1(2021)
• Page Start: 87
• Page End: 113
• Publication Date: 2021-01
• Subjects: real-time integration -- collaborative interpretation -- visual representation; Mixed methods research -- Periodicals; Social sciences -- Research -- Methodology -- Periodicals; Research -- Evaluation -- Periodicals; 507.21
• DOI: 10.1177/1558689820902294
• Languages: English
• ISSNs: 1558-6898

Abstract

We introduce a method in which instant data visualization facilitates real-time data integration and involves participants in data interpretation. The results of quantitative research (e.g., electronic card sorting) are represented visually (e.g., in a dendrogram) and fed back to research participants in follow-up focus group conversations. The visualized quantitative results are reviewed and discussed by participants. The visual display of the quantitative results is annotated with qualitative feedback generated by participants that explains, enriches, or challenges the quantitative results. We apply our method in a card sorting study of Fédération Internationale de Football Association's (FIFA) stakeholders. An approach that facilitates real-time data integration that is participant driven and visually supported is the unique contribution of this article to mixed methods research.