The Utah State University Quantitative Psychology specialization offers students the opportunity to gain an education with a specialization in the development, application, and evaluation of quantitative methods, statistics, and data analysis techniques. USU is home to experienced faculty with varied interests including statistical mediation analysis, longitudinal data analysis, multitrait-multimethod analysis, and exploratory data mining. Students receive extensive training in structural equation modeling, psychometric methods, and longitudinal statistical methods.
The Quantitative Psychology Program at USU is housed in the Education Building at the university. Students accepted into the program receive tuition awards and assistantship stipends. Learn more about applying to the USU psychology department, how students are funded and our faculty.
Advanced Measurement Theories and Practice (Measurement & Psychometrics) - Topics: Classical test theory, reliability estimation, latent state-trait theory, item response theory, validity theory, multitrait-multimethod analysis, latent class analysis
Structural Equation Modeling - Topics: Matrix algebra, path analysis, mediation analysis, exploratory and confirmatory factor analysis, multiple-group analysis, latent variable structural equation modeling, power analysis
Longitudinal Data Analysis - Topics: Single-factor longitudinal models, simplex model, latent state models, latent change score models, autoregressive/cross-lagged models, latent state-trait models, growth curve models, dynamic (multilevel) SEM models, missing data
Quantitative Psychology Faculty and Lab Pages
The LAVA Lab follows Rolf Steyer's approach of defining latent variables "constructively” to ensure that all latent variables have an unambiguous meaning and interpretation. Our substantive research interests concern individual differences in spatial abilities and how they can be explained.
The Statistical Learning and Longitudinal Modeling Lab studies quantitative methods for social and behavioral sciences.