James Wagner

James Wagner, Ph.D. is a Research Professor at the University of Michigan’s Survey Research Center (UM-SRC). His research is in the area of nonresponse and methods for addressing it during data collection. In particular, he has focused on the use of responsive and adaptive designs for controlling nonresponse. He has also worked on statistical decision rules for supporting these types of designs. He has published articles in a variety of journals including Public Opinion Quarterly, Statistics in Medicine, Journal of the Royal Statistical Society, Journal of Official Statistics, and others. He is co-author of a book (2017) entitled Adaptive Survey Design. In addition to research in the area of survey nonresponse, Dr. Wagner has more than 20 years of experience in the area of sample design and has worked on a large variety of samples. He teaches courses on statistics, sampling, and methods for dealing with nonresponse during data collection through the Michigan Program in Survey and Data Science and the Joint Program in Survey Methodology. He has served as a consultant to several federal statistical agencies on methods for improving data quality.

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The Total Data Quality Framework (Coursera) Coursera
University of Michigan

The Total Data Quality Framework (Coursera)

Discover the essential principles of the Total Data Quality Framework in this specialized online course. Designed for data enthusiasts and professionals alike, this course will guide you through understanding the differences between designed and gathered data, exploring the key dimensions of TDQ, and learning how to mitigate potential threats to data quality. Whether you're new to data management or looking to refine your expertise, this course offers valuable insights into ensuring high-quality data analysis.

Jun 8th 2026
4 Weeks
Design Strategies for Maximizing Total Data Quality (Coursera) Coursera
University of Michigan

Design Strategies for Maximizing Total Data Quality (Coursera)

Maximize your data's potential with our 'Design Strategies for Maximizing Total Data Quality' course. This expert-led program will equip you with essential skills in designing effective data collection methods and techniques to enhance the quality of your data at every stage. Whether you're dealing with designed or found/organic data, this course provides actionable strategies to improve TDQ and make informed decisions based on reliable data.

Jun 8th 2026
4 Weeks
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