Graduate Students
Stephen Tueller
Program: Quantitative
Research Interests:
Stephen's research interests include parametric (fixnite mixture modeling, latent variable mixture modeling) and nonparametric (taxometrics, COSA, heierarchical, k-means) clustering methods, mixed/multilevel/SEM approaches to longitudinal data, generalized (non)linear mixed model approacheds to factor analysis and item response theory analysis, rater agreement, and implementations of all of the above with categorical data. Substantive interests include motivation research, health/medical research (hearing, opioid use, Alzheimer's), program evaluation, and business dynamics modelling.
Recent publications:
Tueller, S. J., & Lubke, G. H. (submitted). Evaluation of structuarl equation mixture models in a
cross sectional setting: Parameter estimates and correct class assignment.
Tueller, S. J., & Lubke, G. H. (in preparation). Latent class detection and assignment: A comparison of factor mixture modeling and taxometric approaches.
Academic Institutions:
B.S. from University of Idaho
M.S. from Utah State University
Contact Information
Email: Tueller.1@nd.edu