Thank you for visiting my web site. I am a professor in the Quantitative Psychology Program of the L.L. Thurstone Psychometric Laboratory in the Department of Psychology at the University of North Carolina at Chapel Hill. On my web site, I keep copies of many of my publications and conference presentations, as well as related supplementary material like computer code and technical appendices.
The overarching goals of my program of research are to propose, evaluate, and apply quantitative modeling techniques to improve research on the development of negative social and health behaviors and psychopathology. I have focused particularly on generalized and nonlinear latent variable models, a broad class of models which includes multilevel models, factor analysis, structural equation models, latent curve models, item response theory models, latent class models, and mixture models.
A current emphasis of my research is integrative data analysis, or the simultaneous analysis of data that is pooled across multiple, independently conducted studies. Similar in spirit to meta-analysis, integrative data analysis is conducted at the level of the raw data to permit not only replication but also the assessment of new scientific questions that, for instance, might concern low base-rate behaviors, population subgroups, or long spans of development, that would be difficult to evaluate in any single study.