Statistical methods in psychometrics / Selected topics of psychometrics
Pages of a related course Seminar in Psychometrics.Pages of last years' course: Winter 2024
Course schedule
| Lecture and Lab session: | Thu, 3:00-4:30pm, 318, Pod vodárenskou věží 2, Praha 8. |
News
| (Oct 2, 2025) | First in-person meeting on October 9, 2025. |
Course description
Psychometrics uses statistical models for analysis of educational, psychological, or patient-reported measurements. This course covers computational aspects of main topics in psychometrics including reliability and validity of measurement, traditional item analysis, use of regression models for item description, item response theory (IRT) models, differential item functioning (DIF), computerized adaptive testing (CAT), and an overview of further topics. Methods are demonstrated using data of behavioral measurements from different areas. Exercises are prepared in freely available statistical software R, and in interactive ShinyItemAnalysis application and its modules.
Tentative course plan
| Welcome! (2.10.2025) | Welcome and initial course information |
| Book R code on GitHub | |
| Lesson 1 (9.10.2025) | Introduction to measurement data analysis |
| Slides | |
| Lesson 2 (16.10.2025) | Validity |
| Lesson 3 (23.10.2025) | Reliability |
| Lesson 4 (30.10.2025) | (No meeting) Project part I |
| Project | |
| Lesson 5 (6.11.2025) | Project presentations, Item Analysis |
| Lesson 6 (13.11.2025) | Item Analysis with Regression Models |
| Lesson 7 (20.11.2025) | Item Response Theory Models |
| Lesson 8 (27.11.2025) | More Complex IRT Models |
| Lesson 9 (4.12.2025) | Differential Item Functioning |
| Lesson 10 (11.12.2025) | Applications and more advanced topics |
| Lesson 11 (18.12.2025) | Project presentations |
| Lesson 12 (8.1.2026) | Project finalization |
Course texts
Martinková, P. & Hladká, A. (2023) Computational Aspects of Psychometric Methods: With R. Chapman and Hall/CRC. https://doi.org/10.1201/9781003054313