Recommended Practices for Managing Large, Multi-Site Engineering Education Research Data Collection Projects
Author(s) -
Maura Borrego,
Mary BesterfieldSacre,
Cynthia Finelli,
Lisa R. Lattuca,
Prateek Shekhar
Publication year - 2016
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/p.26047
Subject(s) - data collection , dissemination , best practice , knowledge management , computer science , engineering education , selection (genetic algorithm) , engineering management , data science , engineering , political science , sociology , telecommunications , social science , law , artificial intelligence
This is an evidence-based practice paper, intended to share a range of experiences managing data collection across multiple sites and offer recommendations for success. To address some of the broadest and most critical research questions, engineering education researchers are proposing more and more studies of engineering students, faculty, and/or administrators at multiple higher education institutions. Although some information about how to solicit participation from these institutions is shared through papers and presentations disseminating the activities, most of the best practices and accumulated wisdom about how to manage data collection across multiple sites is not widely shared. To remedy this, the authors synthesize their many years' experience coordinating data collection for engineering education research projects and address site selection, local contacts, recruiting, collaboration agreements, and IRB coordination.
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