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.
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| Instructor: |
Jonathan Templin |
| email: |
jonathan-templin@uiowa.edu |
| 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 |
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Course Schedule
- Read prior to class:
- Lecture slides:
- Coding activity: Introduction to High Performance Computing and Argon
- HPC Argon Wiki
- Slides:
- Computing Setup:
- Visual Studio Code (with Extensions)
- R (via Rig)
- Mounting Argon Drives Locally
- Example Job Submissions
Week 2, August 30, 2023: Argon
Week 3: September 6, 2023: Psychometric Prerequisites (Generalized Models, IRT, Structural vs. Measurement Models, Basic MIRT Models)
- Read prior to class (note: readings are on ICON):
- For discussion: Chapter 1: Bartholomew, Knott, and Moustaki (2011)
- For reference: Chapter 2: Reckase (2009)
- Links to Lecture Materials:
- Formative Assessment 2 Assigned (Due 09/12/2023)–on ICON
Week 4: September 13, 2023: Model Fit
- Homework 1 Due 09/12/2023 ICON:
- Note: Your personal data set is on Argon (see ICON for details)
- Read prior to class (note: readings are on ICON):
- Cai, L., Maydeu-Olivares, A., Coffman, D.L. and Thissen, D. (2006), Limited-information goodness-of-fit testing of item response theory models for sparse 2P tables. British Journal of Mathematical and Statistical Psychology, 59: 173-194. https://doi-org.proxy.lib.uiowa.edu/10.1348/000711005X66419
- Links to Lecture Materials:
- Homework 2 Due 09/27/2023 ICON
Week 5: September 20, 2023: Multidimensional Difficulties (Identifiability, empirical identification, quantifying dimensionality)
- Read Prior to Class: Torres Irribarra & Arneson (2023) on ICON
- Formative Assessment 4 Assigned (Due 09/26/2023)–on ICON
- Links to Lecture Materials:
- Read Prior to Class: Kaplan (2009), Chapters 2 and 3 (Estimation in MVN models)
- Formative Assessment 5 Assigned (Due 10/03/2023)–on ICON
- Links to Lecture Materials:
- Homework 3 Due 10/11/2023 via ICON
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
- Read prior to class:
- Bartholomew, Knott, and Moustaki (2011), Chapter 6 (via ICON)
- Formative Assessment 9 Assigned (Due 11/07/2023)–on ICON
- Links to Lecture Materials:
- Homework 5 Assigned: Due 11/14/2023 via ICON
Week 11: November 8, 2023: Diagnostic Classification Models/Bayesian Networks
- Read prior to class:
- Rupp, Templin, and Henson (2009): Chapter 3 (via ICON)
- Formative Assessment 10 Assigned (Due 11/14/2023)–on ICON
- Links to Lecture Materials:
Week 12: November 15, 2023: Confirmatory Models; Latent Variable Interactions; Models with Specific Purposes (Higher order, bifactor, method factors, extreme response models, scoring approaches)
- Read prior to class:
- Rupp, Templin, and Henson (2009): Chapters 7 and 8 (via ICON)
- Formative Assessment 11 Assigned (Due 11/28/2023) on ICON
- Links to Lecture Materials:
- Homework 6 Assigned: Due 11/28/2023 via ICON
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
- Links to Lecture Materials:
- Lecture Video: Unavailable due to technical difficulties.