activity
20222026
most citedNew iterative algorithms for estimation of item functioning

3 citations · 5 across the 5 of their papers we have counts for

collaborators

6 papers

stat.ME2026

Dynamic Extended Generalized Many-Facet Rasch Model: A Unified Approach to Rater-Mediated Assessment

Giuseppe Mignemi, Patrícia Martinková, Sally Paganin

Rating procedures are crucial in psychological and medical diagnosis, educational assessment, peer review, and grant evaluation. A major methodological challenge is disentangling m…

stat.ME2026

Refining Effect-Size Measures and Classification for Differential Item Functioning: Toward Unified Guidelines Across Methods

Michaela Cichrová, Adéla Hladká, Patrícia Martinková

Differential Item Functioning (DIF) analysis is used to identify potentially biased items in multi-item measurements. In addition to testing the statistical significance, it is ess…

stat.ME2026

Sequential generalized kernel equating: Providing comparable scores across multiple test forms with nonequivalent groups and differently measured covariates

Michaela Vařejková, Patrícia Martinková, Eva Potužníková

Test equating using covariates may be applied to provide comparable scores from multiple test forms when no anchor items are available. However, its performance may be compromised…

cs.CL2026

Response-free item difficulty modelling for multiple-choice items with fine-tuned transformers: Component-wise representation and multi-task learning

Jan Netík, Patrícia Martinková

Item difficulty must often be estimated before test administration, when no responses are yet available for calibration. While most response-free difficulty modelling approaches de…

stat.ME2023★ 3 cited

New iterative algorithms for estimation of item functioning

Adéla Hladká, Patrícia Martinková, Marek Brabec

This paper explores innovations to parameter estimation in generalized linear and nonlinear models, which may be used in item response modeling to account for guessing/pretending o…

stat.ME2022★ 2 cited

Assessing quality of selection procedures: Lower bound of false positive rate as a function of inter-rater reliability

František Bartoš, Patrícia Martinková

Inter-rater reliability (IRR) is one of the commonly used tools for assessing the quality of ratings from multiple raters. However, applicant selection procedures based on ratings…