Patricia Martinkova

Selected publications and presentations

Google Scholar citations

Book

Martinková P, & Hladká A. (2023). Computational Aspects of Psychometric Methods: With R. Chapman and Hall/CRC. doi: 10.1201/9781003054313

Selected Papers and Book Chapters

Hladká A, Martinková P, & Brabec M (2024). New iterative algorithms for estimation of item functioning. Journal of Educational and Behavioral Statistics, Accepted. doi:arXiv.2302.12648. arXiv:2302.12648
Bartoš F, & Martinková P (2024). Assessing quality of selection procedures: Lower bound of false positive rate as a function of inter-rater reliability. British Journal of Mathematical and Statistical Psychology. doi:10.1111/bmsp.12343.
Hladká A, Martinková P, & Magis D (2024). Combining item purification and multiple comparison adjustment methods in detection of differential item functioning. Multivariate Behavioral Research, 59(1), 46-61. doi:10.1080/00273171.2023.2205393
Kolek L, Martinková P , Vařejková M, Šisler V, & Brom C (2024). 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. Journal of Computer Assisted Learning, 42(2), 667-684. doi:10.1111/jcal.12911
Řasová K, Martinková P, Vařejková M, et al. (2024). Improvements in upper extremity isometric muscle strength, dexterity, and self-care independence during the sub-acute phase of stroke recovery: an observational study on the effects of intensive comprehensive rehabilitation. Frontiers in Neurology, 15, 1442120. doi:10.3389/fneur.2024.1442120
Martinková P, Bartoš F, & Brabec M (2023). Assessing inter-rater reliability with heterogeneous variance components models: Flexible approach accounting for contextual variables. Journal of Educational and Behavioral Statistics, 48(3), 349–383. doi:10.3102/10769986221150517. arXiv:2207.02071
Štěpánek L, & Dlouhá J, & Martinková P (2023). Item Difficulty Prediction Using Item Text Features: Comparison of Predictive Performance across Machine-Learning Algorithms. Mathematics, 11(9) doi:10.3390/math11194104
Holub M & Martinková P (2023). Review of: Supervised Machine Learning for Text Analysis in R, Journal of the American Statistical Association, 118(543), 2207-2209. doi:10.1080/01621459.2023.2231224
Greger D, Straková J, & Martinková P (2022). Extending the ILSA Study Design to a Longitudinal Design. In: Nilsen, T., Stancel-Piątak, A., Gustafsson, JE. (eds) International Handbook of Comparative Large-Scale Studies in Education. Springer International Handbooks of Education. Springer, Cham.
Řasová K, Martinková P, Vařejková M, et al. (2022). COMIRESTROKE—A clinical study protocol for monitoring clinical effect and molecular biological readouts of COMprehensive Intensive REhabilitation program after STROKE: A four-arm parallel-group randomized double blinded controlled trial with a longitudinal design. Frontiers in Neurology, 13.
Erosheva E, Martinková P, & Lee CJ (2021). When zero may not be zero: A cautionary note on the use of inter-rater reliability in evaluating grant peer review. Journal of the Royal Statistical Society — Series A, 184(3), 904-919.
Kolek L, Šisler V, Martinková P, & Brom C (2021). Can video games change attitudes towards history? Results from a laboratory experiment measuring short- and long-term effects. Journal of Computer Assisted Learning. Author shareable link for full access.
Goldhaber D, Grout C, Wolff M, & Martinková P (2021). Evidence on the dimensionality and reliability of professional references' ratings of teacher applicants. Economics of Education Review, 83, 102130.
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.
Bartoš F, Martinková P, & Brabec M (2020). Testing heterogeneity in inter-rater reliability. In The Annual Meeting of the Psychometric Society (pp. 347-364). Springer, Cham.
Štěpánek L., & Martinková P. (2020). Feasibility of computerized adaptive testing evaluated by Monte-Carlo and post-hoc simulations. In Proceedings of the 2020 Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 359-367.
Řasová K, Freeman J, Cattaneo D, ..., & Martinková P (2020). Content and Delivery of Physical Therapy in Multiple Sclerosis across Europe: A Survey. International Journal of Environmental Research and Public Health, 17(3), 886.
Řasová K, Martinková P, Soler B, et al. (2020). Real-world goal setting and use of outcome measures according to the international classification of functioning, disability and health: A european survey of physical therapy practice in multiple sclerosis. International Journal of Environmental Research and Public Health, 17(13), 4774.
Martinková P, Goldhaber D, & Erosheva E (2018). Disparities in ratings of internal and external applicants: A case for model-based inter-rater reliability. PLOS ONE, 13(10), e0203002.
Martinková P, & Drabinová A (2018). ShinyItemAnalysis for Teaching Psychometrics and to Enforce Routine Analysis of Educational Tests. The R Journal, 10:2, pp. 503-515.
Martinková P, Freeman J, Drabinová A, Erosheva E, Cattaneo D, Jonsdottir J, Baert I, Smedal T, Romberg A, Feys P, Alves-Guerreiro J, Habek M, Henze T, Medina CS, Beiske A, Van Asch P, Bakalidou D, Salcı Y, Dimitrova EN, Pavlíková M, & Řasová K (2018). Physiotherapeutic interventions in multiple sclerosis across Europe: Regions and other factors that matter. Multiple Sclerosis and Related Disorders, 22, 59-67.
Martinková P, Drabinová A, Liaw Y-L, Sanders EA, McFarland JL, & Price RM (2017). Checking equity: Why DIF analysis should be a routine part of developing conceptual assessments. CBE Life Sciences Education, vol. 16 no. 2 rm2.
Martinková P, Drabinová A, & Houdek J (2017). ShinyItemAnalysis: Analýza přijímacích a jiných znalostních či psychologických testů (ShinyItemAnalysis: Analyzing admission and other educational and psychological tests. In Czech.) Testfórum, no. 9, pp.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. Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 11, pages 189–194.
Drabinová A, & Martinková P (2017). Detection of Differential Item Functioning with Non-Linear Regression: Non-IRT Approach Accounting for Guessing. Journal of Educational Measurement, 54(4), pp. 498-517.
McFarland JL, Price RM, Wenderoth MP, Martinková P, Cliff W, Michael J, Modell H & Wright A (2017). Development and Validation of the Homeostasis Concept Inventory. CBE Life Sciences Education, vol. 16 no. 2 ar35.
Michael J, Martinková P, McFarland JL, Wright A, Cliff W, Modell H, & Wenderoth MP (2017). Validating a conceptual framework for the core concept of “cell-cell communications”. Advances in Physiology Education, Vol. 41 no. 2, pp. 260-265.
Řasová K, Freeman J, Martinková P, et al. (2016). The organisation of physiotherapy for people with multiple sclerosis across Europe: a multicentre questionnaire survey. BMC Health Services Research, 16:552.
Martinková P, & Goldhaber D (2015). Improving Teacher Selection: The Effect of Inter-Rater Reliability in the Screening Process. CEDR Working Paper 2015-7. University of Washington, Seattle, WA.
Řasová K, et al. (2015). Physical therapy provision in multiple sclerosis across Europe: a regional lottery? European Journal of Physical and Rehabilitation Medicine, 51(6), pp 850-2.
Martinková P, & Vlčková K (2014). Hodnocení reliability znalostních a psychologických testů. (Estimation of Reliability of Educational and Psychological Measurements. In Czech.) Informační bulletin České statistické společnosti, 4, pp. 1-15.
Řasová K, Martinková P,et al. (2014). Physical therapy in multiple sclerosis differs across Europe: Information regarding an ongoing study. The Journal of International Medical Research.
Řasová K, Martinková P, Vyskotová J, & Šedová M (2012). Assessment set for evaluation of clinical outcomes in multiple sclerosis - psychometric properties. Patient Related Outcome Measures, 3, pp. 59-70.
Řasová K, Kalistová H, Kučera P, Juzová O, Zimová D, Medová E, Doležil D, Jandová D, Tintěra J, Ibrahim I, Zvára K, Bičíková M, & Martinková P (2012). Physiotherapy as an immunoactive therapy? A pilot study. Neuroendocrinology Letters, 33(1), pp. 67-75.
Štuka Č, Martinková P, Zvára K, & Zvárová J (2012). The prediction and probability for successful completion in medical study based on tests and pre-admission grades. The New Educational Review, 28, pp. 138 -152.
Ibrahim I, Tintěra J, Škoch A, Jírů F, Hluštík P, Martinková P, Zvára K, & Řasová K (2011). Fractional anisotropy and mean diffusivity in the corpus callosum of patients with multiple sclerosis: the effect of physiotherapy. Neuroradiology, 53(11), pp. 917-26.
Martinková P, & Zvára K (2010). Reliability of Composite Dichotomous Measurements. European Journal for Biomedical Informatics, 6(2), pp. 14-23.
Řasová K, Brandejský P, Tintěra J, Krásenský J, Zimová D, Medová E, Herbenová A, Kalistová H, Jech R, Řasová M, Zemanová P, Zeman J, Ibrahim I, Martinková P, Doležil D, & Jandová D (2009). Bimanual Tandem Motor Task with Multiple Sclerosis in Functional Magnetic Resonance Imaging: Effect of Physiotherapeutic Techniques - a Pilot Study. Česká a Slovenská neurologie a neurochirurgie, 72(4), pp. 350-358.
Martinková P, & Zvára K (2007). Reliability in the Rasch Model. Kybernetika, 43(3), pp. 315-26. Selected R code.
Řasová K, Havrdová E, Brandejský P, Zálišová M, Foubíková B, & Martinková P (2006). Comparison of the Influence of Different Rehabilitation Programmes on Clinical, Spirometric and Spiroergometric Parameters in Patients with Multiple Sclerosis. Multiple Sclerosis, 12(2), pp. 227-234.
Vášková M, Mejstříková E, Kalina T, Martinková P, Omelka M, Trka J, Starý J, & Hrušák O (2005). Transfer of Genomics Information to Flow Cytometry: Expression of CD27 and CD44 Discriminates Subtypes of Acute Lymphoblastic Leukemia. Leukemia, 19(5), pp. 876-878.
Řasová K, Krásenský J, Havrdová E, Obenberger J, Seidel Z, Doležal O, Rexová P, & Zálišová M (2005). Is it Possible to Actively and Purposely make use of Plasticity and Adaptibility in the Neurorehabilitation Treatment of Multiple Sclerosis Patients? A Pilot Project. Clinical Rehabilitation, 19(2), pp. 170-181.
Martinková P, Zvára jr. K, Zvárová J, & Zvára K (2006). The New Features of the Exame Evaluation System and Reliability of Its Fixed Tests. Methods of Information in Medicine, 45(3), pp. 310-315.

Software

Martinková P, Hladká A, & Netík J (2024) ShinyItemAnalysis: Test and Item Analysis via Shiny (online application). ShinyItemAnalysis R package version 1.5.1. For more information see http://www.ShinyItemAnalysis.org
Martinková P, & Netík J (2024) SIAmodules: Modules for 'ShinyItemAnalysis'. SIAmodules R package version 0.1.1.
Netík J., & Martinková P (2024) SIAtools: 'ShinyItemAnalysis' Modules Development Toolkit. SIAtools R package version 0.1.0.
Hladká A, & Martinková P (2023) difNLR: DIF and DDF Detection by Non-Linear Regression Models. R package version 1.4.2-1

Selected Presentations

Martinková P, & Hladká A (2023). Computational aspects of modelling item responses, IMPS 2023, July 25-28, 2023, College Park, Maryland, USA.
Martinková P, & Hladká A (2023). Modeling item responses under different frameworks, EAM 2023, July 11-13, Ghent, Belgium.
Martinková P (2023). Generalized linear and nonlinear regression models for DIF detection in longitudinal designs with binary and polytomous responses. International Meeting on Detecting Differential Item Functioning in Polytomous IRT Models and/or Multiple Groups, June 12-13, 2023, Zurich, Switzerland. Invited talk.
Martinková P, & Netík J (2023). SIAmodules: Modules for ShinyItemAnalysis, Psychoco 2023, June 8-9, 2023, Zurich, Switzerland.
Martinková P (2022). Computational aspects of reliability estimation, IMPS 2022, July 11-15, 2022, Bologna, Italy. Spotlight talk
Štěpánek L, Dlouhá J, & Martinková P (2022). Machine-learning methods for item difficulty prediction using item text features, IMPS 2022, , July 11-15, 2022, Bologna, Italy.
Dlouhá J, Štěpánek L, & Martinková P (2022). Item difficulty prediction using computational psychometrics and linguistic algorithms, IMPS 2022, July 11-15, 2022, Bologna, Italy.
Netík J, & Martinková P (2022). Revisiting parametrizations for the nominal response model, IMPS 2022, July 11-15, 2022, Bologna, Italy.
Martinková P (2021). Computational aspects of psychometrics taught with R and Shiny, useR!2021
Martinková P, Bartoš F, & Brabec M (2021). Inter-rater reliability in complex situations, IMPS 2021
Hladká A. Martinková P, & Brabec M (2021). Estimation in generalized logistic regression models for DIF detection, IMPS 2021
Martinková P (2021). Does a zero inter-rater reliability mean grant peer review is arbitrary? Metascience 2021
Martinková P (2017). Teaching psychometrics and analysing educational tests with ShinyItemAnalysis Presented at useR!2017, Brussels, Belgium.
Martinková P (2014). Researching Reliability Estimates in the Context of Czech Admission Tests. Presented (with modifications) as a part of OLF travel award at:

BEAR Seminar, UC Berkeley,

UC Merced

Martinková P, & Turčičová M (2013). Generalized Reliability Used for the Comparison of Reliability Estimates in Tests with Binary Items. Poster presented at IMPS 2013, Arnhem, Netherlands. Best poster award. Selected R code.