Patricia Martinkova

I am the vice-head of the Department of Statistical Modelling at the Institute of Computer Science of the Czech Academy of Sciences, where I lead the Computational Psychometrics Group. I am also a researcher at Faculty of Education Charles University, where I initiated the Center for Educational Measurement and Psychometrics with 2018–2020 PRIMUS project. I am Fulbright alumna and 2013-2015 visiting research scholar with the University of Washington, and an affiliate at UW Center for Statistics and the Social Sciences and at UW Department of Statistics.

My research focuses on developing models and estimators to improve the quality of ratings and measurement in various fields, including education, psychology, and health. I use simulation studies to demonstrate better properties and advantages of newly developed methods and estimators over those traditionally used in daily praxis.

I am big fan of reproducible research and freely available software. Part of my research is exploited in interactive online application ShinyItemAnalysis, which is now being used in many research fields all around the world.

My teaching interests cover various topics of applied statistics and psychometrics. I teach course NMST570 Selected topics in psychometrics and Seminar in Psychometrics NMST571. I am interested in incorporating active learning techniques into teaching.

Recent news


Job openings in Computational Psychometrics group and Department of Statistical Modelling.

Jun 23 2022

I will give a spotlight talk on Computational aspects of reliability estimation at the IMPS conference in Bologna.

Feb 14 2022

The Seminar in Psychometrics takes place Tuesdays at 3:40 PM.

Sep 17 2021

I presented at Metascience 2021 conference. See the slides of my talk on range-retstricted IRR in grant proposal peer review. Here is the accompanying ShinyItemAnalysis module.

Aug 4 2021

New article Can video games change attitudes towards history? Results from a laboratory experiment measuring short- and long-term effects published in J Comput Assist Learn.

July 20 2021

I will be presenting at IMPS 2021. Talks on reliability and on DIF detection are available for registered participants.

July 8 2021

I will be presenting at useR!2021 on Teaching computational aspects of psychometrics with R and Shiny. See the slides.

Apr 20 2021

Article When zero may not be zero: A cautionary note on the use of inter-rater reliability in evaluating grant peer review published in the Journal of the Royal Statistical Society Series A.

Oct 7 2020

An article on the difNLR package was published in The R Journal.

Dec 3, 2019

Article Is academic tracking related to gains in learning competence? Using propensity score matching and differential item change functioning analysis for better understanding of tracking implications is available in Learning and Instruction.

Jul 24 2019

Full-day workshop Introduction to Differential Item Functioning (DIF) analysis with R and ShinyItemAnalysis will be held at AEA-Europe conference in Lisabon on Nov 13, 2019. Registrations are open!

Feb 23 2019

Article ShinyItemAnalysis for Teaching Psychometrics and to Enforce Routine Analysis of Educational Tests has been published in The R Journal.

Dec 21 2018

International workshop on Psychometric Computing Psychoco 2019 will take place on February 21 - 22 in Prague, Czech Republic.

Oct 5 2018

Article Disparities in ratings of internal and external applicants: A case for model-based inter-rater reliability has been published in PLOS ONE.

June 1, 2017

Article Checking equity: Why DIF analysis should be a routine part of developing conceptual assessments by Martinkova et. al, has been published in CBE - Lifesciences Education.

© 2022 Patricia Martinkova / Template design adapted from Andreas Viklund