I am an Associate Professor of Quantitative Methods and Director of Research Methods in The Graduate School of Education and Human Development (GSEHD) at the George Washington University. I have a Ph.D. in Measurement, Statistics, and Evaluation from the University of Maryland, College Park, and a master's degree in Assessment, Measurement, and Statistics in Psychological Sciences from James Madison University.
My research focuses on methodological issues in latent variable modeling with a specific focus on: data-model fit, measures of fit and misfit, structural equation modeling (SEM), and nonlinear modeling. My research has appeared in journals such as Psychological Methods, Educational and Psychological Measurement, Structural Equation Modeling: A Multidisciplinary Journal, the Journal of Experimental Education: Measurement, Statistics, and Research Design, the Journal of Applied Statistical Methods, and Applied Psychological Measurement.
I have twenty years of experience working as a statistical and psychometric consultant collaborating with clients across a wide array of disciplines including: audiology, business marketing, education, exercise science, human development, marine biology, medical sciences, neuropsychology, psychology, social work, and student affairs. These clients have ranged from those conducting personal research projects, to corporations wishing to improve their marketing strategies, to Universities investigating the effectiveness of their general education courses. I was the methodologist of Fairfax Neonatal Associate’s PETIT (Prematurity’s Effects on Toddlers, Infants and Teens) study for four years examining longitudinal neuropsychological, cognitive, and behavioral outcomes of prematurely born children until the study concluded in 2016. I have experience with a broad variety of assessment types including: large-scale University-wide assessments, item banking for computer-adaptive tests, instrument and survey design, and small-scale program evaluations.
I teach doctoral courses in quantitative methods including: EDUC 8120 (group comparisons and designs), EDUC 8171 (predictive analyses), EDUC 8173 (structural equation modeling), and a series of experimental courses including: Data Management #1, Data Management #2, and Factor Analysis. My courses range in format from traditional face-to-face, to hybrid, and online. Prior to working at GW, I taught courses in Classroom Assessment and Introductory Statistics at The University of Maryland. For more information about my courses, teaching endeavors, and resources for students please view my teaching page.