Eric R. Schuler
Quantitative/Computational Research Methodologist
CTRL
Additional Positions at AU
Quantitative/Computational Research Methodologist
Degrees
PhD, Experimental Psychology, University of North Texas
MS, Psychology, University of North Texas BA, English Literature (Concentration in Irish Literature) and Psychology, University of Connecticut
Bio
Eric R. Schuler is a research methodologist specializing in quantitative and computational methods at the Center for Teaching, Research and Learning. In this role, he provides methodological consultations to American University faculty. Eric has a background in Bayesian inference, general linear mixed models, Monte Carlo statistical simulations, structural equation modeling, and a broad range of psychometric analytic methods. Additionally, he is interested in how Monte Carlo statistical simulations can be leveraged for applied data situations and for teaching data analytical techniques.
