Skip to Content

Phillip Vaughan, Research Scientist, Methodology, Measurement and Statistical Analysis (MMSA)

Phillip W. Vaughan , Ph.D

Phillip W. Vaughan received his Ph.D. in Educational Psychology with a specialization in Quantitative Methods/Statistics from the Department of Educational Psychology at the University of Texas at Austin. His dissertation research was a simulation study examining the performance of two mathematical estimation methods for situations in which confirmatory factor analytic models are applied to ordinal observed variables, including conditions where models are realistically misspecified. He additionally obtained an M.A. in Program Evaluation during his time at UT-Austin.

Dr. Vaughan has collaborated and consulted with investigators across many disciplines and is a coauthor on numerous papers and conference presentations spanning diverse content areas such as cognitive aging, the psychology of envy, minority educational outcomes, and health psychology. He is currently a research scientist with Methodology, Measurement and Statistical Analysis (MMSA) where he advises faculty on appropriate use of statistical techniques and helps faculty develop sound methods sections of grant applications, and where he teaches a graduate course in Psychometrics as an adjunct faculty member. He has years of experience advising faculty on matters of research methodology, statistics, and the reporting of results. He has also assisted faculty at Texas State in the procurement of significant grant funding by developing the methodology and statistical analyses proposed in grant applications. Dr. Vaughan’s areas of interest include but are not limited to structural equation modeling, confirmatory and exploratory factor analysis, hierarchical linear modeling, multiple regression and common variations thereof (e.g., logistic regression, Poisson regression, etc.), mixture modeling, and classical psychometrics.