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 has 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 has reviewed over 50 manuscripts submitted for publication in several journals.
PhD: University of Nebraska, Lincoln, NE.
Fellowship: Department of Psychology, University of Nebraska. Lincoln, NE.
Cross-sectional, longitudinal, and multilevel latent variable mixture modeling; missing data handling; pedagogical manuscripts
Clinical Psychology
The Answer is "No ": A Comment on Peugh and Feldon (2020). CBE-Life Sciences Education. 2024; 23:le1.
Reply to: Interindividual differences in pain can be explained by fMRI, sociodemographic, and psychological factors. Nature Communications. 2024; 15:7884.
Predicting Help-Seeking Behaviors in Caregivers of Children Newly Diagnosed with ADHD. Evidence-Based Practice in Child and Adolescent Mental Health. 2024; 9:512-527.
Weak Relationships Between Psychological Factors and Experimental Pain Outcomes in Pain-Free Individuals: An Aggregate Analysis of 8 Studies. Journal of Pain. 2024; 25:104444.
Clinic-Based Characterization of Adolescents and Young Adults With Migraine: Psychological Functioning, Headache Days, and Disability. Neurology: Clinical Practice. 2024; 14:e200294.
Early childhood sleep quantity, but not caregiver-reported sleep problems, predicts impulse control in children at age 8 years. Child Neuropsychology. 2024; 30:602-614.
Normalizing Error in Categorical Measurement. Mixed Methods for Psychological Measurement. : Taylor & Francis; Taylor & Francis; 2024.
Validation Of Interindividual Differences in Pain Sensitivity Through Noxious Stimulus Discrimination. Journal of Pain. 2024; 25:31.
Examining Memory for Pain Intensity: Potential Moderators of Discrepancy between Daily Diary and Retrospective Reports of Pain. Journal of Pain. 2024; 25:54.
Study protocol for a pilot clinical trial to understand neural mechanisms of response to a psychological treatment for pain and anxiety in pediatric functional abdominal pain disorders (FAPD). PloS one. 2024; 19:e0299170.