Associate Professor
East Carolina University
Department of Psychology
Faculty Profile
Personal website
Dr. Schoemann’s general interests in quantitative psychology lie in the areas of latent variable modeling (factor analysis and structural equation modeling (SEM)), multilevel modeling (MLM), and meta-analysis. Across these areas he has focused on issues related to multiple group models, missing data, longitudinal models, and Monte Carlo simulations. He is interested in encouraging access to advanced quantitative techniques through developing programs in the statistical language R.
Graduate Student
Occupational Health Psychology
East Carolina University
Lauren Scanlan, is currently pursuing her doctoral degree in Occupational Health Psychology at ECU. Her research interests include malicious compliance, teleworkers, vacation, and burnout.
Graduate Student
Industrial/Organizational Psychology
East Carolina University
Will Eddy studies Industrial and Organizational Psychology, emphasizing quantitative Human Resources Analytics for improving worker experience and organization ROI. Research interests include: depersonalizing employee selection to reinforce objectivity and reduce discrimination, exploring whether introversion is a predictor of desirable work outcomes in some contexts, and using natural language processing as a tool in the recruiting process. He loves his wife Justine, his dachshund Otis, and playing guitar casually while watching mind bending science fiction films.
Graduate Student
Occupational Health Psychology
East Carolina University
Anne Corinne Carroll, commonly known as ‘AC,’ is currently pursuing her doctoral degree in Occupational Health Psychology at ECU. Her research interests include the unique stresses faced by healthcare employees, recovery from error, and assessment centers.
Undergraduate Student
East Carolina University
Pursuing a double major in Psychology and Mathematics at East Carolina University, Ryan assists the Methodology and Analysis Research lab in various modeling endeavors. As a recent addition to the MAR lab, Ryan’s specific research interests are still unclear; however, he enjoys areas involving heteroskedasticity and classical test theory.