Paul Wesley Scott

Dr. Scott is a research methodologist specialized in psychometrics and statistical analyses in the behavioral, cognitive, and social sciences. His three primary methodological topics of interest are: (1) Causal Inference; (2) Dynamic Panel & Intensive Longitudinal Data; and, (3) Clustering & Categorical Latent Variables. In applied research, he has worked with a number of research teams across a variety of substantive areas. Within the school he works most closely with the Research HUBS for Sleep & Circadian Sciences, Health Services & Policy, and Nursing Education & Scholarship. He is affiliated with the T32 training faculty for excellence in digital health.

As a Faculty Statistician, Dr. Scott provides quantitative research support to faculty and doctoral students in a broad range of topics, thinking through strategies for data collection, management, analysis, and interpretation of results. These experiences have provided familiarity working with diverse data sources and structures across many modeling frameworks.