MultidimensionalMeasurementModels2023

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
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

Course Schedule

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

• Read prior to class:
  • Course Syllabus
• Lecture slides:
  • https://github.com/jonathantemplin/MultidimensionalMeasurementModels2023/blob/main/materials/Week%2001/mmm2023_lecture01_intro.pdf
  • Lecture Videos:
    • Part 1: https://youtu.be/81B4bYhLi-o
    • Part 2: https://youtu.be/PuqfqScaFyo; Note, audio only after about 5 minutes.
• Coding activity: Introduction to High Performance Computing and Argon
  • HPC Argon Wiki
  • Slides:
    • https://github.com/jonathantemplin/MultidimensionalMeasurementModels2023/blob/main/materials/Week01/mmm2023_lecture01_hpc.pdf
  • Computing Setup:
    • Visual Studio Code (with Extensions)
    • R (via Rig)
    • Mounting Argon Drives Locally
  • Example Job Submissions
    • https://jonathantemplin.com/introduction-to-the-university-of-iowa-high-performance-computing-system-argon-and-iowa-interactive-data-analytics-service-idas/

Week 2, August 30, 2023: Argon

• Read prior to class: Nothing
• Lecture handout:
  • https://github.com/jonathantemplin/MultidimensionalMeasurementModels2023/blob/main/materials/Week02/mmm2023_argon.md
• Lecture Videos https://youtu.be/U9I2U9neYTE
• Useful Links
  • Argon Wiki: https://wiki.uiowa.edu/display/hpcdocs/HPC+Documentation+Home
  • Notebooks Site: https://notebooks.hpc.uiowa.edu/
  • Jonathan’s awesome Argon guide: https://jonathantemplin.com/introduction-to-the-university-of-iowa-high-performance-computing-system-argon-and-iowa-interactive-data-analytics-service-idas/
• Formative Assessment 1 Assigned (Due 09/05/2023)–on ICON

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:
  • Lecture Slides: https://jonathantemplin.github.io/MultidimensionalMeasurementModels2023/materials/Week03/03_Psychometric_Prerequisites.html#/title-slide
  • Lecture Video: https://youtu.be/ksK3-bvMKn4
  • Lecture Handout (Same content as slides, but in docx format): https://github.com/jonathantemplin/MultidimensionalMeasurementModels2023/raw/main/materials/Week03/03_Psychometric_Prerequisites_Handout.docx
  • Coding Activity: https://github.com/jonathantemplin/MultidimensionalMeasurementModels2023/blob/main/materials/Week03/03_Coding_Activity.md
    • My Coding Activity File: https://raw.githubusercontent.com/jonathantemplin/MultidimensionalMeasurementModels2023/main/materials/Week03/03_classSimulation.R
• 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:
  • Lecture Slides: https://jonathantemplin.github.io/MultidimensionalMeasurementModels2023/materials/Week04/04_Model_Fit.html#/title-slide
  • Lecture Handout (Same content as slides, but in docx format): https://github.com/jonathantemplin/MultidimensionalMeasurementModels2023/raw/main/materials/Week04/04_Model_Fit_Handout.docx
  • Lecture Videos:
    • Part 1: https://youtu.be/ojufSzYIBTA
    • Part 2: https://youtu.be/AwDcNQ31ca8
  • Coding Activity: None this week
• 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:
  • Lecture Slides: https://jonathantemplin.github.io/MultidimensionalMeasurementModels2023/materials/Week05/05_Difficulties.html
  • Lecture Handout (Same content as slides, but in docx format): https://github.com/jonathantemplin/MultidimensionalMeasurementModels2023/raw/main/materials/Week05/05_Difficulties_Handout.docx
  • Lecture Video: https://youtu.be/-05XICYqnlo
  • Coding Activity: https://github.com/jonathantemplin/MultidimensionalMeasurementModels2023/blob/main/materials/Week05/05_Coding_Activity.md

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

• Read Prior to Class: Kaplan (2009), Chapters 2 and 3 (Estimation in MVN models)

Tentative Remaining Course Schedule

Please see the main website for the most up-to-date schedule, required readings, and assignment information.

Date	Topic
Section 3	Multidimensionality is Bad
10/04/2023	Exploratory Models; Consequences of Multidimensionality; Unwanted Dimensionality
10/11/2023	Multidimensionality by Design (rater effects, testlets)
10/18/2023	Exploratory mixture models/Categorical Latent Variables (What is Dimensionality?)
Section 4	Multidimensionality is Good
10/25/2023	Confirmatory Models; Latent Variable Interactions
11/01/2023	Diagnostic Classification Models/Bayesian Networks
11/08/2023	Models with Specific Purposes (Higher order, bifactor, method factors, extreme response models, scoring approaches)
11/15/2023	Explanatory (Crossed Random Effect) models/G-Theory
11/22/2023	No Class (Thanksgiving Break)
11/29/2023	Multilevel Measurement Models
Section 5	Multidimensionality is Desired
12/06/2023	Construct Definitions and the Challenge of Subscores
12/13/2023	Final Exam

References

Bartholomew, D. J., Knott, M., & Moustaki, I. (2011). Latent variable models and factor analysis: A unified approach (3rd ed.). Wiley.

Reckase, M. D. (2009). Multidimensional item response theory. Springer.

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