Faculty and Staff
M. Lee Van Horn
College of Arts and Sciences
|Resources:||Department of Psychology|
Dr. Van Horn obtained his Ph.D. from the University of Alabama at Birmingham in Developmental Psychology and came to the University of South Carolina in 2004 from a research scientist postion at the University of Washington. He is a quantitative psychologist whose primary interests focus on assessing individual differences. He also works with multilevel designs and group randomized trials of programs to study the prevention of substance use, delinquency, and obesity.
Dr. Van Horn's methodological research is supported by a grant from the National Institute of Child Health and Human Development, 'Risk in Context: New Methodology for modeling Risk by Context Interactions.' This grant, renewed for 5 additional years of funding in 2011, focuses on evaluating the use of regression mixture models for identifying heterogeneity in contextual effects. A second grant done in collaboration with Thomas Jaki and Lancaster University, ‘Heterogeneity in Treatment Effects: Can Modeling Techniques Provide Personalized Prediction of Treatment Response and Uncover Groups of Respondents?’ was recently funded by the Medical Research Council in the UK. The team of investigators participating in this research includes statisticians, methodologists, criminologists and psychologists. Dr. Van Horn currently works with 2 Postdoctoral Researchers, Minjung Kim and Andrea Lamont who are participating on the evaluation of methods for studying differential effects.
In addition to his own methodological work, Dr. Van Horn serves as a methodologist for several other funded research studies. This includes work with Dawn Wilson on clinical trials of programs to increase physical activity and prevent obesity; collaboration with Kate Flory on a study of the mediators of social impairment among children with ADHD; and working with Shauna Cooper on a study of fathering practices among African American adolescents.
Lawman*, H. G., Van Horn, M. L., Wilson, D. K. & Pate, R. R. (In Press). A multilevel approach to examining time-specific effects in accelerometer-assessed physical activity. Journal of Science and Medicine in Sport.
Van Horn, M. L., Jaki, T., Masyn, K., Howe, G., Feaster, D. J., Lamont, A. E., Minjung, K., & George, M. R. W.** (In Press). Evaluating differential effects using regression interactions and regression mixture models. Educational and Psychological Measurement.
Van Horn, M. L., Fagan, A. A., Hawkins, J. D. & Oesterle, S. (2014). Effects of Communities That Care system on cross-sectional profiles of adolescent substance use and delinquency. American Journal of Preventive Medicine. 47, 188-197.
George, M. R. W., Yang, N., Van Horn, M. L., Smith, J., Jaki, T., Feaster, D., Maysn, K, Howe, G. (2013). Using regression mixture models with non-normal data: Examining an ordered polytomous approach. Journal of Statistical Computation and Simulation, 83, 757-770.
Fagan, A. A., Van Horn, M. L., Hawkins, J. D., & Jaki, T. . (2012, Sept). Differential effects of parental controls on adolescent substance use: For whom is the family most important?. Quantitative Criminology,
Van Horn, M. L., Smith, J., Fagan, A. A., Jaki, T., Feaster, D. J, Masyn, K., Hawkins, J. D. & Howe, G. (2012). Not quite normal: Consequences of violating the assumption of normality with regression mixture models. Structural Equation Modeling, , 19, 227–249.
Van Horn, M. L., Jaki, T., Masyn, K., Ramey, S. L., Smith, J., & Antaramian, S. (2009). Assessing differential effects: Applying regression mixture models to identify variations in the influence of family resources on academic achievement. Developmental Psychology, , 45, 1298-1313.
Van Horn, M. L., Fagan, A. A., Jaki, T., Brown, E., Hawkins, J. D., Arthur, M. W., Abbott, R. D., Catalano, R. F. . (2008). Using multilevel mixture models to evaluate intervention effects in group randomized trials. Multivariate Behavioral Research, , 43(2), 289-326.
Murray, D. M., Van Horn, M. L., Hawkins, J. D., Arthur, M. W. (2006). Analysis strategies for a community trial to reduce adolescent ATOD use: A comparison of random coefficient and ANOVA/ANCOVA models. Contemporary Clinical Trials, , 27, 188-206.