Seminar in psychometrics

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.
Taught as a course NMST571 at Charles University, see Syllabus.
See webpage of the most current year of the seminar
Previous years: 2019, 2020
Webpage of a related course Selected topics in psychometrics

News

Feb 3, 2021 Seminar starts on March 9, 2021. Zoom platform is expected. Link for the ZOOM sessions will be sent to registered students via e-mail. If you want to participate as a guest, please send an e-mail.
March 15, 2021 Google form for questions is available at this link.

Course schedule 2021

Seminar takes place on Tuesdays, 3:40-5:10pm on ZOOM. Talks are approximatelly 60 minutes long, followed by a discussion.

March 2 Welcome message by e-mail
March 9 Introduction Slides
March 16 Computational aspects of reliability estimation Slides Code
March 23 Hynek Cígler (Masaryk University): Reliability models in classical test and latent trait theories Slides Code
March 30 František Bartoš (Univeristy of Amsterdam): Robust Bayesian meta-analysis: A framework for addressing publication bias with model-averaging Abstract Slides Code Video
April 6 Non-IRT and IRT models for description of item functioning Slides Code Data 1, 2
April 13 Michela Battauz (University of Udine): Item response theory equating methods for multiple forms Abstract Slides Code Data Video
April 20 Marie Wiberg (University of Umea): How to evaluate different equating methods Abstract Slides Book Code
April 27 Gabriel Wallin (Universite Cote d'Azur & Inria): Equating nonequivalent test groups using propensity scores Abstract Slides Code
May 4 Jiří Lukavský (Institue of psychology CAS & Charles University): Bayesian psychometrics Slides Code
May 11 Ed Merkle (University of Missouri): Recent progress on Bayesian structural equation models Abstract Article Code Video
May 18 No Zoom meeting
May 25 No Zoom meeting
June 1 Seminar closing







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