Dr. Brandi Weiss
Dr. Brandi Weiss
Associate Professor, Educational Research
School: Graduate School of Education and Human Development
Please visit Dr. Weiss’ academic website: http://blogs.gwu.edu/weissba for more information about her research and teaching.
Dr. Brandi A. Weiss is an Associate Professor and Director of Research Methods. She received her Ph.D. in Measurement, Statistics, and Evaluation from the University of Maryland at College Park, and holds an M.A. in Assessment, Measurement, and Statistics with a focus in psychological sciences from James Madison University. Her research interests include methodological issues in latent variable modeling, data-model fit, person-fit, structural equation modeling, scale development, and nonlinear modeling. Her research has appeared in such journals as Structural Equation Modeling: A Multidisciplinary Journal, Psychological Methods, Educational and Psychological Measurement, Research and Practice in Assessment, and Applied Psychological Measurement.
Dr. Weiss has over a fifteen years of experience working as a statistical and psychometric consultant. She has worked with clients across a wide array of disciplines such as: audiology, business marketing, education, exercise science, human development, marine biology, medical sciences, neuropsychology, psychology, social work, and student affairs. She has also worked 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. She served as the methodologist of the 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.
Dr. Weiss has taught numerous graduate-level courses in quantitative methods at GW including: Foundations of Assessment, Testing, and Measurement; Introduction to Educational Statistics; Group Comparison and Design Analyses; Predictive Analyses; Structural Equation Modeling; Data Management; and Factor Analysis. Prior to working at GW, she taught courses in Classroom Assessment and Introductory Statistics at The University of Maryland.