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Emilia Mikołajewska and Dariusz Mikołajewski

-18. [12] Mikołajewski D., Mikołajewska E. Nowoczesne rozwiązania informatyczne dla osób niepełnosprawnych. Niepełnosprawność i Rehabilitacja. 2011, 2, 93-113. [13] Chakravarty E. F., Bjorner J. B., Fries J. F. Improving patient reported outcomes using item response theory and computerized adaptive testing . J. Rheumatol., 2007, 34, 6, 1426-1431. [14] Walker J., Böhnke J. R., Cerny T. i wsp. Development of symptom assessments utilising item response theory and computer - adaptive testing - a practical method based on a systematic

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Tatiana Prextová

. TOLLINGEROVÁ, Dana. Teorie programového učení, Středisko pro výzkum učebních metod a prostředků, 1970. PREXTOVÁ, Tatiana. Adaptive Testing of Student’s Knowledge Level. In: Proceedings of the 6th International GUIDE Conference. Athens, 2013. ISBN 9788897772026. PREXTOVÁ, Tatiana. Evaluating student’s knowledge through the use adaptive testing. In: Information and Communication Technology in Education. Ostrava: Repronis Ostrava, 2014, 7 p. ISBN 978-80-7464-561-7. Available from: https://konference.osu.cz/icte/dokumenty/2014/proceedingsICTE2014

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Ryszard Gmoch

References [1] Sztejnberg A, Gmoch R. Z badań nad zastosowaniem teorii wyniku zadania testowego (Item Response Theory) w testowaniu osiągnięć studentów chemii z zakresu elektrochemii. Pregradualni priprava a postgradualni vzdelavani ucitelu chemie. Ostrawa: Sbornik Prednasek; 1999. [2] Weiss JD. Bibliography on Computerized Adaptive Testing (CAT), (Updated March 26, 2011). http://www.psych.umn.edu/psylabs/catcentral/bibliographycomplete.htm. [3] http://en.wikipedia.org/wiki/Computer-adaptive_testing

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Tatiana Prextová

Journal of Information and Communication Technologies in Education. Adaptive testing in practice. 2015, vol. 4, iss. 2, pp. 37-49. ISSN 1805-3726. PREXTOVÁ, Tatiana and Jana ŠARMANOVÁ. Computerized Adaptive Testing. In: Emerging eLearning Technologies and Applications. Starý Smokovec: Elfa, 2014, pp. 413-417. ISBN 978-1-4799-7739-0. RIDING, Richard J. and Eugen SADLES¨R -SMITH. International Journals of Training and Development 1:3. Cognitive style and learning strategies: some implication for training design. 1997, p. 10. ISSN 1360

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Kirstin Early, Jennifer Mankoff and Stephen E. Fienberg

8. References Achtyes, E.D., S. Halstead, L. Smart, T. Moore, E. Frank, D.J. Kupfer, and R. Gibbons. 2015. “Validation of Computerized Adaptive Testing in an Outpatient Nonacademic Setting: The VOCATIONS Trial.” Psychiatric Services 66(10): 1091–1096. Doi: http://dx.doi.org/10.1176/appi.ps.201400390 . Almirall, D., S.N. Compton, M. Gunlicks-Stoessel, N. Duan, and S.A. Murphy. 2012. “Designing a Pilot Sequential Multiple Assignment Randomized Trial for Developing an Adaptive Treatment Strategy.” Statistics in Medicine 31(17): 1887–1902. Doi: http

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Agnieszka Zdrodowska, Ida Wiszomirska and Andrzej Kosmol

hearing impairments. Phys Ther 2010; 90(12):1783-94. 33. Oh KY, Kim SA, Lee SY, Lee YS. Comparison of manual balance and balance board tests in healthy adults. Ann Rehabil Med 2011; 35(6):873-9. 34. Srivastava A, Taly AB, Gupta A, Kumar S, Murali T. Post- -stroke balance training: Role of force platform with visual feedback technique. J Neurol Sci 2009;287(1-2):89-93. 35. Faraldo-Garcia A, Santos-Pérez S, Crujeiras R, Labella- Caballero T, Soto-Varela A. Comparative study of computerized dynamic posturography and the Sway

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Paweł Czarnul, Tomasz Dziubich and Henryk Krawczyk

2006, Warsaw, Poland, in: Software Engineering Techniques: Design for Quality , ed. K. Sacha, Springer, International Federation for Information Processing, a Springer Series in Computer Science, 179-190. Krawczyk, H., Wiszniewski, B. (1998). Analysis and testing of distributed software applications. Baldock: Res. Stud. Press. Czarnul, P. (2010). Modeling, run-time optimization and execution of distributed workflow applications in the JEE-based BeesyCluster environment. Journal of Supercomputing. DOI: 10.1007/s

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Lalida Tuntipumiamorn, Porntip Iampongpaiboon, Nuanpen Damrongkijudom, Khummook Krongyuth, Vinai Polwatsatian and Satja Jaikreng

F. Cone-beam CT Hounsfield unit correction method and application on images of the pelvic region. Radiother Oncol 2006; 81(Suppl1):29. 23. Hatton J, McCurdy B, Greer B P. Cone beam computerized tomography: the effect of calibration of the Hounsfield unit number to electron density on dose calculation accuracy for adaptive radiation therapy. Phys Med Biol. 2009; 54:N329-46. 24. Seco J, Evans PM. Assessing the effect of electron density in photon dose calculations. Med Phys. 2006; 33:540-52. 25. Houser C, Nawaz AO

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Jakub Kortas, Katarzyna Prusik, Łukasz Bielawa, Monika Wiech, Zbigniew Ossowski, Seweryna Konieczna and Krzysztof Prusik

intellectual disabilities. Adapted Physical Activity Quarterly 26(1), 54-67. 31. Tsigilis N., Douda H., Tokmakidis S.P. (2002). Test-retest reliability of the Eurofit test battery administered to university students. Perceptual and Motor Skills 95(3 Suppl.), 1295-300. 32. Vancampfort D., Probst M., Sweers K., Maurissen K., Knapen J., Willems J.B. et al. (2012). Eurofit test battery in patients with schizophrenia or schizoaffective disorder: Reliability and clinical correlates. European Psychiatry 27(6), 416-21. 33. Vancampfort

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Julianne M. Edwards and W. Holmes Finch

unobservable, high dimensional data. The international Journal of Biostatistics, 3 (1). doi: 10.2202/1557-4679.1049 Nydick, S.W. (2014). catIrt: An R package for simulating IRT-based computerized adaptive tests. R package, version 0.5-0. Pantanowitz, A., & Marwala, T. (2009). Evaluating the impact of missing data imputation. In Advanced data mining and applications (pp. 577-586). Springer Berlin Heidelberg. Peng, C.-Y. J., & Zhu, J. (2005, April). Comparison of two methods for handling missing covariates in logistic regression. Paper presented at the