Important dates#
Important Dates and Course Schedule: psy126 Seminar#
Welcome to the psy126 Seminar! Hereβs a quick overview of all the key dates and course structure you need to know.
π Registration Period#
Start: 10 April 2025
End: 30 June 2025
β οΈ You will not be able to withdraw or register after 30 June 2025.
π€ Submission Deadline#
Final Project Submission:
ποΈ 30 September 2025
Only one
.ipynb
project must be submitted. -> more details on that in the following sessions.
π Course Structure & Schedule#
π Lecture Topics#
Date |
Topic |
---|---|
08.04.2025 |
Introduction to Psychometrics |
15.04.2025 |
Recap: Classical Test Theory |
22.04.2025 |
Generalizability Theory |
29.04.2025 |
Latent State and Trait Theory |
06.05.2025 |
Measurement Models for Dichotomous Scores |
13.05.2025 |
Measurement Models for Polytomous Scores |
20.05.2025 |
Measurement Models for Quantitative Scores |
27.05.2025 |
Measurement Invariance / Differential Item Functioning |
03.06.2025 |
Measurement Invariance Across Time |
10.06.2025 |
Multidimensional Models |
17.06.2025 |
Preference Modeling (e.g. Forced Choice) |
24.06.2025 |
Network Models for Clinical Symptom Measurements |
01.07.2025 |
Machine Learning in Psychometrics |
08.07.2025 |
Summary |
π» Seminar Workshops#
Date |
Activity Description |
---|---|
10.04.2025 |
Intro: Create your Jupyter Notebook Portfolio |
17.04.2025 |
β Public Holiday |
24.04.2025 |
Recap psy111 + Import/Export Data in Python |
01.05.2025 |
β Public Holiday |
08.05.2025 |
Task Distribution + Datasets for Examination |
15.05.2025 |
Descriptive Stats + Reliability Analysis |
23.05.2025 |
Dichotomous Score Measurement Models |
29.05.2025 |
β Public Holiday |
05.06.2025 |
Polytomous Score Measurement Models |
12.06.2025 |
Quantitative Score Measurement Models |
19.06.2025 |
Measurement Invariance (Group/Time) |
26.06.2025 |
Multidimensional Models |
03.07.2025 |
Own Data Analysis |
04.07.2025 |
Q&A + Portfolio Feedback |
For detailed course content, see the course slides.
Instructor: Leonardo Zaggia
Course: Test theory and test construction