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doc. RNDr. Patrícia Martinková Ph.D.
Academic staff at Faculty of Mathematics and Physics, Faculty of Education
4 classes
47 publications
Classes
class
Statistical Methods in Psychometrics
NMST570 |
Faculty of Mathematics and Physics
class
Seminar in Psychometrics
NMST571 |
Faculty of Mathematics and Physics
class
Selected topics in psychometrics
OIDQ1P107 |
Faculty of Education
class
Seminar in psychometrics
OPDQ1P126B |
Faculty of Education
Publications
publication
Extending the ILSA Study Design to a Longitudinal Design. TIMSS and PIRLS Extension in the Czech Republic: CLoSE Study
2022 |
Faculty of Education
publication
When zero may not be zero: A cautionary note on the useof inter-rater reliability in evaluating grant peer review
2021 |
Faculty of Education
publication
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
2020 |
Faculty of Mathematics and Physics, Faculty of Education
publication
Deeper analysis of group disparities in ratings motivated by simulated and real data examples
2020 |
Faculty of Education
publication
Is Academ ic Tracking Related to Gains in Learning Competence? Combining Propensity Score Matching and Analysis of Differential Item Functioning
2019 |
Faculty of Education
publication
The Predictive Value of Final Middle-School Examinations and Entrance Tests at Universities
2018 |
Faculty of Education
publication
ShinyItemAnalysis for psychometric training and research
2018 |
Faculty of Education
publication
Disparities in ratings of internal and external applicants: A case for model-based inter-rater reliability
2018 |
Faculty of Education
publication
Is video games' effect on attitudes universal? Results from an empirical study comparing video games' impact on the attitude change of players with different backgrounds
2023 |
Faculty of Mathematics and Physics, Faculty of Education, Faculty of Arts, Faculty of Social Sciences
publication
Item Difficulty Prediction Using Item Text Features: Comparison of Predictive Performance across Machine-Learning Algorithms
2023 |
Faculty of Education, Faculty of Arts, Faculty of Physical Education and Sport
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