The Application of Item Response Theory (IRT) for AUDEE Scale Psychometric Assessment
Abstract
General Information
Keywords: digital educational environment (DEE), AUDEE scale, Item Response Theory (IRT), item difficulty, item discrimination, test information function
Publication rubric: Modeling and Data Analysis for Digital Education
Article type: scientific article
Funding. The reported study was funded by the Moscow State Univer¬sity of Psychology and Education (MSUPE) in the framework of the re¬search project “Digital Technologies in Higher Education: Development of Technology for Individualizing Education Using E-Courses
For citation: Radchikova N.P., Sorokova M.G., Odintsova M.A., Gusarova E. The Application of Item Response Theory (IRT) for AUDEE Scale Psychometric Assessment . Digital Humanities and Technology in Education (DHTE 2021): Collection of Articles of the II All-Russian Scientific and Practical Conference with International Participation. November 11-12, 2021 / V.V. Rubtsov, M.G. Sorokova, N.P. Radchikova (Eds). Moscow: Publishing house MSUPE, 2021., pp. 557–570.
References
- Avanesov V.S. Istoki i osnovnye ponyatiya matematicheskoi teorii pedagogicheskikh izmerenii (Item Response Theory) [The Origins and Basic Concepts of Item Response Theory] // Pedagogicheskie Izmereniya = Pedagogical measurements, 2007, no. 3, pp. 3–36. (In Russ.)
- Kroker L., Algina D. Vvedenie v klassicheskuyu i sovremennuyu teoriyu testov [Introduction to classical and modern test theory]. Moscow: Logos, 2010. 668 p. (In Russ.)
- Neiman Yu.M., Khlebnikov V.A. Vvedenie v teoriyu modelirovaniya i parametrizatsii pedagogicheskikh testov [Introduction to the Theory of Modeling and Parametrization of Educational Tests]. Moscow: Prometei, 2000. 168 p. (In Russ.)
- Sorokova M.G., Odintsova M.A., Radchikova N.P. Shkala otsenki tsifrovoi obrazovatel’noi sredy (TsOS) universiteta [Scale for Assessing University Digital Educational Environment (AUDEE Scale)] // Psikhologicheskaya nauka i obrazovanie = Psychological Science and Education, 2021, Vol. 26, no. 2, pp. 52–65. DOI: https://doi.org/10.17759/pse.2021260205 (In Russ., Abstr. in Engl.).
- Baker F.B. The Basis of Item Response Theory, 2nd ed. ERIC Clearinghouse on Assessment and Evaluation, College Park, 2001. 186 p.
- Burnham K.P., Anderson D.R. Model selection and multimodel inference: A practical information-theoretic approach (2nd ed.). New York: Springer-Verlag, 2002. 488 p.
- Kang T., Chen T.T. Performance of the generalized S-X2 item fit index for polytomous IRT models // Journal of Educational Measurement, 2008, no. 45 (4), pp. 391–406.
- Muraki E. A generalized partial credit model: Application of an EM algorithm. ETS Research Report Series, 1992. pp. 159–176.
- Orlando M., Thissen D. Likelihood-based item-fit indices for dichotomous item response theory models // Applied Psychological Measurement, 2000, no. 24 (1), pp. 50–64.
- Samejima F. Graded Response Model. In W.J. van der Linden, & R.K. Hambleton (Eds.). Handbook of Modern Item Response Theory. New York, NY: Springer, 1997. pp. 85–100.
- Sorokova, Marina; Odintsova, Maria; Radchikova, Nataly (2021): Scale for Assessing University Digital Educational Environment (AUDEE Scale): validation database. Psychological Research Data & Tools Repository. Dataset. https://doi.org/10.25449/ruspsydata.14742816
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