James Peugh, PhD, focuses his research on missing data handling and multilevel modeling techniques. He has published five manuscripts in those areas. As a post-doctoral fellow, Dr. Peugh received advanced training in dyadic data analysis, which resulted in three additional publications. As an assistant professor at the University of Virginia, his research focused on Monte Carlo testing of longitudinal and cross-sectional finite mixture modeling techniques.
Dr. Peugh's co-authored several publications with numerous colleagues that used a wide variety of categorical and continuous latent variable modeling techniques involving cross-sectional or longitudinally-sampled data. He also serves on the editorial board of the Journal of School Psychology and have reviewed over fifty manuscripts submitted for publication in several journals.
Cross-sectional, longitudinal, and multilevel latent variable mixture modeling; missing data handling; pedagogical manuscripts
Associate Professor, UC Department of Pediatrics