Seminar in psychometrics

This seminar covers computational aspects of psychometrics. It features local and visiting scholars who are invited to present current psychometric research. Talks are complemented by practical demonstrations in R, using educational, psychological and other behavioral data. Seminar can be taken repeatedly.

Taught as a course NMST571 and as a course OPDQ1P126B at Charles University. Enroll in SIS and Moodle.
Jointly held as the seminar of the COMputational PSychometrics group at the Institute of Computer Science of the Czech Academy of Sciences and of CEMP. Seminar is co-hosted by Jiří Lukavský.
Webpage of a related course Selected topics in psychometrics
Previous seminar years: 2019, 2020, 2021, 2022, 2023, 2024.

News

Nov 25, 2024 If you want to participate as a guest, please send me an e-mail. Hybrid form is expected, link for the ZOOM sessions will be sent to enrolled students and registered participants via e-mail.
Nov 25, 2024 Google form for questions is available at this link.
Nov 28, 2024 Join us for COMPS Group Seminar on Thursday, November 28 at 1pm
Jun Wu: Identifiability in graphical models with algebraic methods.
Dec 5, 2024 Join us for COMPS Group Seminar on Thursday, December 5 at 4pm
Giuseppe Mignemi: Bayesian Nonparametric Models for Multiple Raters Data.

Tentative course schedule 2025

In-person meetings are planned cca every 2 weeks in plenary room 318, ICS CAS, Pod Vodárenskou věží 2, Praha 8. Invited talks are approximatelly 60 minutes long, followed by a discussion.

Course credit requirements

The credit will be awarded to the student who is actively present and who hands in feedback by the prescribed deadline. For exam under the course OPDQ1P126B, students are required to hand in and/or present project/topic of their preference.

Course texts

Martinková P, & Hladká A. (2023). Computational Aspects of Psychometric Methods: With R. Chapman and Hall/CRC. doi: 10.1201/9781003054313
Manuscripts related to invited talks.






© 2024 Patrícia Martinková / Template design adapted from Andreas Viklund