Selected publications and presentations

Google Scholar citations

Selected Papers:
[1] Martinková P, Goldhaber D, Erosheva E. Disparities in ratings of internal and external applicants: A case for model-based inter-rater reliability. PLOS ONE, 13(10), e0203002, 2018.
[2] Martinková P, Drabinová A. ShinyItemAnalysis for Teaching Psychometrics and to Enforce Routine Analysis of Educational Tests. The R Journal, 10:2, pp. 503-515, 2018.
[3] 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. Physiotherapeutic interventions in multiple sclerosis across Europe: Regions and other factors that matter. Multiple Sclerosis and Related Disorders, 22, 59-67, 2018.
[4] Martinková P, Drabinová A, Liaw Y-L, Sanders EA, McFarland JL, Price RM. Checking equity: Why DIF analysis should be a routine part of developing conceptual assessments. CBE Life Sciences Education, vol. 16 no. 2 rm2, 2017.
[5] Martinková P, Drabinová A, Houdek J. 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, 2017.
[6] Martinková P, Štěpánek L, Drabinová A, Houdek J, Vejražka M, Štuka Č. 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, 2017.
[7] Drabinová A, Martinková P. Detection of Differential Item Functioning with Non-Linear Regression: Non-IRT Approach Accounting for Guessing. Journal of Educational Measurement, 54(4), pp. 498-517, 2017.
[8] McFarland JL, Price RM, Wenderoth MP, Martinková P, Cliff W, Michael J, Modell H and Wright A. Development and Validation of the Homeostasis Concept Inventory. CBE Life Sciences Education, vol. 16 no. 2 ar35, 2017.
[9] Michael J, Martinková P, McFarland JL, Wright A, Cliff W, Modell H, Wenderoth MP. Validating a conceptual framework for the core concept of “cell-cell communications”. Advances in Physiology Education, Vol. 41 no. 2, pp. 260-265, 2017.
[10] Řasová K, Freeman J, Martinková P, et al. The organisation of physiotherapy for people with multiple sclerosis across Europe: a multicentre questionnaire survey. BMC Health Services Research, 16:552, 2016.
[11] Martinková P, Goldhaber D. Improving Teacher Selection: The Effect of Inter-Rater Reliability in the Screening Process. CEDR Working Paper 2015-7. University of Washington, Seattle, WA.
[12] Řasová K, et al. Physical therapy provision in multiple sclerosis across Europe: a regional lottery? European Journal of Physical and Rehabilitation Medicine, 51(6), pp 850-2, 2015.
[13] Martinková P, Vlčková K. 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, 2014.
[14] Řasová K, Martinková P,et al. Physical therapy in multiple sclerosis differs across Europe: Information regarding an ongoing study. The Journal of International Medical Research, 2014.
[15] Řasová K, Martinková P, Vyskotová J, Šedová M. Assessment set for evaluation of clinical outcomes in multiple sclerosis - psychometric properties. Patient Related Outcome Measures, 3, pp. 59-70, 2012.
[16] 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. Physiotherapy as an immunoactive therapy? A pilot study. Neuroendocrinology Letters, 33(1), pp. 67-75, 2012.
[17] Štuka Č, Martinková P, Zvára K, Zvárová J. 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, 2012
[18] Ibrahim I, Tintěra J, Škoch A, Jírů F, Hluštík P, Martinková P, Zvára K, Řasová K. Fractional anisotropy and mean diffusivity in the corpus callosum of patients with multiple sclerosis: the effect of physiotherapy. Neuroradiology, 53(11), pp. 917-26, 2011.
[19] Martinková P, Zvára K. Reliability of Composite Dichotomous Measurements. European Journal for Biomedical Informatics, 6(2), pp. 14-23, 2010. In english, in czech.
[20] 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. 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, 2009.
[21] Martinková P, Zvára K. Reliability in the Rasch Model. Kybernetika, 43(3), pp. 315-26, 2007. Selected R code.
[22] Řasová K, Havrdová E, Brandejský P, Zálišová M, Foubíková B, Martinková P. 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, 2006.
[23] Vášková M, Mejstříková E, Kalina T, Martinková P, Omelka M, Trka J, Starý J, Hrušák O. Transfer of Genomics Information to Flow Cytometry: Expression of CD27 and CD44 Discriminates Subtypes of Acute Lymphoblastic Leukemia. Leukemia, 19(5), pp. 876-878, 2005.
[24] Řasová K, Krásenský J, Havrdová E, Obenberger J, Seidel Z, Doležal O, Rexová P, Zálišová M. 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, 2005.
[25] Martinková P, Zvára jr. K, Zvárová J, Zvára K. The New Features of the Exame Evaluation System and Reliability of Its Fixed Tests. Methods of Information in Medicine, 45(3), pp. 310-315, 2006.

[1] Martinková P, Drabinová A, Leder O., Houdek J. (2019) ShinyItemAnalysis: Test and Item Analysis via Shiny (online application). ShinyItemAnalysis R package version 1.3.0. For more information see
[2] Drabinová A, Martinková P, Zvára K. (2018) difNLR: Detection of differential item functioning (DIF) and differential distractor functioning (DDF) by non-linear regression models. R package version 1.2.2.

[1] Štuka Č, Martinková P, Vejražka M, Trnka J, Komenda M. Testování při výuce medicíny. Konstrukce a analýza testů na lékařských fakultách. (Student Assessment in Medical Education: Construction and Analysis of Tests at Medical Schools. In Czech.) 156 pp. Praha: Karolinum, 2013. ISBN 9788024623696. Online version.

Selected Presentations:
[1] Teaching psychometrics and analysing educational tests with ShinyItemAnalysis Presented at useR!2017, Brussels, Belgium.
[2] Aktivní zapojování studentů do výuky statistiky a psychometrie.[in Czech] Presented at STAKAN, 2015, Solan, Czech Republic.
[3] 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, Feb 11, 2014 (host Karen Draney),
UC Merced, Feb 12, 2014 (host William Shadish),
CRESST UCLA, Feb 19, 2014 (host Li Cai).
[4] Martinková P, Turčičová M. 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.
[5] Martinková P, Šedová M, Řasová K. Reliability of clinical functioning measures in patients with multiple sclerosis. Presented at ISCB 2009, Prague, Czech Republic.

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