Selected publications

Martinková, P., & Hladká, A. (2023). Computational aspects of psychometric methods: With R. Chapman and Hall/CRC Press.

Hladká, A., Martinková, P., & Magis, D. (2023). Combining item purification and multiple comparison adjustment methods in detection of differential item functioning. Multivariate Behavioral Research. Published online.

Hladká, A., Martinková, P., & Brabec, M. (2023). Parameter estimation in generalised logistic model with application to DIF detection. Under review.

Bezdicek, O., Červenková, M., Georgi, H., Schmand, B., Hladká, A., Rulseh, A., & Kopecek, M. (2021) Long-term cognitive trajectory and activities of daily living in healthy aging. Clinical Neuropsychologist, 35(8), 1381–1397.

Hladká, A., & Martinková, P. (2020). difNLR: Generalized logistic regression models for DIF and DDF detection. The R Journal, 12(1), 300–323.

Martinková, P., Hladká, A., & Potužníková, E. (2020). 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. Learning and Instruction, 66, 101286.

Martinková, P., & Drabinová, A. (2018). ShinyItemAnalysis for teaching psychometrics and to enforce routine analysis of educational tests. The R Journal, 10(2), 503–515.

Martinková, P., Freeman, J., Drabinová, A., Erosheva, E., Cattaneo, D., Jonsdottir, J., ... & Alves-Guerreiro, J. (2018). Physiotherapeutic interventions in multiple sclerosis across Europe: regions and other factors that matter. Multiple Sclerosis and Related Disorders, 22, 59–67.

Drabinová, A., & Martinková, P. (2017). Detection of differential item functioning with nonlinear regression: Non-IRT approach accounting for guessing. Journal of Educational Measurement, 54(4), 498–517.

Martinková, P., Drabinová, A., Liaw, Y. L., Sanders, E. A., McFarland, J. L., & Price, R. M. (2017). Checking equity: Why differential item functioning analysis should be a routine part of developing conceptual assessments. CBE-Life Sciences Education, 16(2), rm2.

Martinková, P., Drabinová, A., & Houdek, J. (2017). ShinyItemAnalysis: Analýza přijímacích a jiných znalostních či psychologických testů. TESTFÓRUM, 6(9), 16–35.

Martinková, P., Štěpánek, L., Drabinová, A., Houdek, J., Vejražka, M., & Štuka, Č. (2017). Semi-real-time analyses of item characteristics for medical school admission tests. In Proceedings of the 2017 Federated Conference on Computer Science and Information Systems (FedCSIS) (pp. 189–194). New York.


Hladká, A., & Martinková, P. (2023). difNLR: DIF and DDF detection by non-linear regression models. R package version 1.4.2-1.,

Martinková, P., Hladká, A., & Netík, J. (2023). ShinyItemAnalysis: Test and item analysis via shiny. R package version 1.5.0.,

Selected presentations

Hladká, A. (2023). DIF detection by comparing item response curves. Invited talk in Seminar in Psychometrics, Charles University, Prague, Czech Republic.

Hladká, A., Martinková, P., & Brabec, M. (2021). Estimation in generalized logistic regression models for DIF detection. Presented at IMPS 2021.

Hladká, A., & Martinková, P. (2019). Nonparametric comparison of regression curves for DIF detection. Presented at IMPS 2019, Santiago de Chile, Chile.

Drabinová, A., & Martinková, P. (2018). Detection of differential item functioning with difNLR package. Presented at IMPS 2018, Columbia University, New York City, USA

Drabinová, A. (2017) difNLR: Detection of potentional gender/minority bias with extensions of logistic regression. Presented at useR!2017, Brussels, Belgium.

Drabinová, A., & Martinková, P. (2017). Item purification versus adjustements for multiple comparisons in DIF detection. Poster presented at IMPS 2017, Zurich, Switzerland.

Drabinová, A., & Martinková, P. (2016). Detection of differential item functioning based on non-linear regression. Presented at Robust conference, Sporthotel Kurzovní (Jeseníky). Received Second student prize.

Drabinová, A., & Martinková, P. (2016). Detection of differential item functioning based on non-linear regression. Poster presented at IMPS 2016, Asheville, North Carolina, USA. Received Travel award.