Multidimensional Measurement Models (Fall 2023)

This repo contains course materials for the Multidimensional Measurement Models course, given during the fall semester of 2023 at the University of Iowa (PSQF 7375) by Jonathan Templin.

Course Information

Instructor: Jonathan Templin
Syllabus: Syllabus Link
Course website: Course Website Link
Course repo: GitHub Repo
Lecture videos: YouTube Playlist
Office: S210B Lindquist Center
Office Phone: 319-335-6429
Classroom: S210A Lindquist Center
Course Meeting Time: W 12:30-15:20
Course Office Hours: F 09:00-11:00 or by appointment

Course Schedule

Week 1: August 23, 2023: Introduction; What is Dimensionality; Estimation Toolbox

Week 2, August 30, 2023: Argon

Week 3: September 6, 2023: Psychometric Prerequisites (Generalized Models, IRT, Structural vs. Measurement Models, Basic MIRT Models)

Week 4: September 13, 2023: Model Fit

Week 5: September 20, 2023: Multidimensional Difficulties (Identifiability, empirical identification, quantifying dimensionality)

Week 6: September 27, 2023: Estimation Methods (Marginal Maximum Likelihood; Limited Information; Bayesian Methods)

Week 7: October 4, 2023: Full and Limited Estimation Methods (Monte Carlo, EM, MHRM, QN)

Week 8: October 11, 2023: Bayesian Estimation Methods (MCMC)

October 18, 2023: No Class

Week 9: October 25, 2023: When Multidimensionality is Considered A Bad Thing

Week 10: November 1, 2023: Exploratory Mixture Models for Detecting Groups

Week 11: November 8, 2023: Diagnostic Classification Models/Bayesian Networks

Week 12: November 15, 2023: Confirmatory Models; Latent Variable Interactions; Models with Specific Purposes (Higher order, bifactor, method factors, extreme response models, scoring approaches)

November 22, 2023: No Class (Fall Break)

Week 13: November 29, 2023: On the Use of Test Scores

Week 14: December 06, 2023: Subscores and Other Models