Patricia Martinkova
I am a researcher at the Institute of Computer Science of the Czech Academy of Sciences. I am also Fulbright alumna and 2013-2015 visiting research scholar with the Center for Statistics and the Social Sciences, and Department of Statistics, University of Washington.
My research focuses on developing models and estimators for measuring the quality of educational tests and psychological assessments with focus on admission and selection process. I am interested in estimation of the reliability and validity of measurements, scale development, estimation of item properties, and the wide topic of latent variable models. My apllied research uses these methodologies to analyze data, mainly from educational testing and health measurements.
My teaching interests cover various topics of applied statistics and psychometrics. In the last academic year, I taught course on Item Response Theory and a course of Statistical Concepts and Methods for the Social Sciences. I am interested in incorporating active learning techniques into teaching.
Recent news
Article "Checking equity: Why DIF analysis should be a routine part of developing conceptual assessments" by Martinkova et. al, has been accepted for publication in CBE Lifesciences, shortly after acceptance of two related articles. See Publications.
New version of ShinyItemAnalysis app and difNLR R package will be presented at Psychoco 2017 in Vienna, Austria.
© 2016 Patricia Martinkova / Template design adapted from Andreas Viklund