James Wagner

James Wagner, Ph.D., is a Research Professor at the University of Michigan's Survey Research Center (UM-SRC). His expertise centers on survey methodology, particularly addressing nonresponse issues during data collection. Dr. Wagner has advanced the field with his work on responsive and adaptive survey designs, which aim to enhance data quality by mitigating nonresponse biases. He has also contributed to statistical decision rules that guide these methodologies.His scholarly work spans a range of prestigious journals, such as Public Opinion Quarterly, Statistics in Medicine, and Journal of the Royal Statistical Society. Dr. Wagner co-authored the book Adaptive Survey Design (2017), which provides an in-depth exploration of innovative survey methodologies.In addition to his research, Dr. Wagner has over 20 years of practical experience in sample design, having worked on diverse and complex sampling projects. He teaches courses in statistics, sampling, and methods to address nonresponse as part of the Michigan Program in Survey and Data Science and the Joint Program in Survey Methodology. His expertise has been sought after by several federal statistical agencies, where he has served as a consultant on strategies to improve data quality.