Minneapolis, MN
August 23, 2022
June 26, 2022
June 29, 2022
9
10.18260/1-2--40829
https://peer.asee.org/40829
332
Dr. David Reeping is an Assistant Professor in the Department of Engineering Education at the University of Cincinnati. He earned his Ph.D. in Engineering Education from Virginia Tech and was a National Science Foundation Graduate Research Fellow. He received his B.S. in Engineering Education with a Mathematics minor from Ohio Northern University. His main research interests include curricular complexity, transfer student pathways, threshold concepts, and advancing quantitative and fully integrated mixed methods.
This work-in-progress paper introduces an emerging method for conducting a systematic methodological review of mixed methods publications, which we apply to engineering education research. Although a smattering of methodological reviews exists, studies to understand how researchers approach integration, the central feature of mixed methods designs, in engineering education are scarce. By applying a network-analytic model to visualize design procedures, specifically ego network analysis, and typologies of integration strategies, we can map the mechanisms by which engineering education researchers perform integration in their studies. From these networks, ego networks of integration strategies can be generated that can inform scholars inside and outside the field how previous studies have combined different methods. The direct impact on the field is a comprehensive examination of integrative procedures in engineering education research adaptable to various mixed methods designs.
Keywords: Mixed methods research; content analysis; network analysis; methodological review
Reeping, D. (2022, August), Work in Progress: Using Ego Network Analysis to Analyze How Engineering Education Researchers Construct Mixed Methods Designs Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--40829
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