Experimental Psychology (Russia)
2012. Vol. 5, no. 1, 119–131
ISSN: 2072-7593 / 2311-7036 (online)
Probabilistic method of filtering artifacts in adaptive testing
Abstract
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Keywords: adaptive testing, Markov models, Kalman filter
Journal rubric: Mathematical Psychology
Article type: scientific article
For citation: Kuravsky L.S., Yuryev G.A. Probabilistic method of filtering artifacts in adaptive testing. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2012. Vol. 5, no. 1, pp. 119–131. (In Russ., аbstr. in Engl.)
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References
- Avanesov V. S. Pedagogicheskoe izmerenie latentnyh kachestv // Pedagogicheskaja diagnostika. 2003. № 4. S. 69–78.
- Kardanova E. Ju. Modelirovanie i parametrizacija testov: osnovy teorii i prilozhenija. M.: FGU «Federal'nyj centr testirovanija», 2008.
- Kramer G. Matematicheskie metody statistiki. M.: Mir, 1976.
- Kuravskij L. S., Baranov S. N. Sintez setej Markova dlja prognozirovanija ustalostnogo razrushenija // Nejrokomp'jutery: razrabotka i primenenie. 2002. № 11. S. 29–40.
- Kuravskij L. S., Baranov S. N. Primenenie nejronnyh setej dlja diagnostiki i prognozirovanija ustalostnogo razrushenija tonkostennyh konstrukcij // Nejrokomp'jutery: razrabotka i primenenie. 2001. № 12. S. 47–63.
- Kuravskij L. S., Baranov S. N., Kornienko P. A. Obuchaemye mnogofaktornye seti Markova i ih primenenie dlja issledovanija psihologicheskih harakteristik // Nejrokomp'jutery: razrabotka i primenenie. 2005. № 12. S. 65–76.
- Kuravskij L. S., Baranov S. N., Malyh S. B. Nejronnye seti v zadachah prognozirovanija, diagnostiki i analiza dannyh: Ucheb. posobie. M.: RUSAVIA, 2003.
- Kuravskij L. S., Baranov S. N., Jur'ev G. A. Sintez i identifikacija skrytyh markovskih modelej dlja diagnostiki ustalostnogo razrushenija // Nejrokomp'jutery: razrabotka i primenenie. 2010. № 12. S. 20–36.
- Kuravskij L. S., Ushakov D. V., Marmaljuk P. A., Panfilova A. S. Issledovanie faktornyh vlijanij na razvitie psihologicheskih harakteristik s primeneniem novogo podhoda k ocenke adekvatnosti modelej nabljudenijam // Informacionnye tehnologii. 2011. № 11 (v pechati).
- Kuravskij L. S., Jur'ev G. A. Adaptivnoe testirovanie kak markovskij process: modeli i ih identifikacija // Nejrokomp'jutery: razrabotka i primenenie. 2011 а. № 2. S. 21–29.
- Kuravskij L. S., Jur'ev G. A. Ispol'zovanie markovskih modelej pri obrabotke rezul'tatov testirovanija // Voprosy psihologii. 2011 b. № 2. S. 98–107.
- Ovcharov L. A. Prikladnye zadachi teorii massovogo obsluzhivanija. M.: Mashinostroenie. 1969.
- Saati T. L. Jelementy teorii massovogo obsluzhivanija i ee prilozhenija. M.: LIBROKOM, 2010.
- Tihonov V. I., Shahtarin B. I., Sizyh V. V. Sluchajnye processy. Primery i zadachi. T. 5.
- Ocenka signalov, ih parametrov i spektrov. Osnovy teorii informacii. M.: Gorjachaja linija–Telekom, 2009.
- Tjumeneva Ju. A. Psihologicheskoe izmerenie. M.: Aspekt-Press, 2007.
- Shahtarin B. I. Sluchajnye processy v radiotehnike. T. 1. Linejnye preobrazovanija. M.: Gorjachaja linija– Telekom, 2010.
- Baker F. B. The Basics of Item Response Theory. ERIC Clearinghouse on Assessment and Evaluation, University of Maryland, College Park, MD, 2001.
- Gregory R. J. Psychological testing: History, principles, and applications (5th edition). N.Y.: Pearson, 2007.
- Gulliksen H. Theory of Mental Tests. John Wiley & Sons Inc, 1950.
- Kuravsky L. S., Malykh S. B. Application of Markov models for analysis of development of psychological characteristics // Australian Journal of Educational & Developmental Psychology. 2004. V. 2. P. 29–40.
- Kuravsky L. S., Baranov S. N. Condition monitoring of the structures suffered acoustic fatigue failure and forecasting their service life // Proc. Condition Monitoring 2003, Oxford, United Kingdom. P. 256–279, July 2003.
- Kuravsky L. S., Baranov S. N. Neural networks in fatigue damage recognition: diagnostics and statistical analysis // Proc. 11th International Congress on Sound and Vibration, St.-Petersburg, Russia. P. 2929– 2944, July 2004.
- Kuravsky L. S., Baranov S. N. The concept of multifactor Markov networks and its application to forecasting and diagnostics of technical systems // Proc. Condition Monitoring 2005, Cambridge, United Kingdom. P. 111–117, July 2005.
- Kuravsky L. S., Baranov S. N., Yuryev G. A. Synthesis and identification of hidden Markov models based on a novel statistical technique in condition monitoring // Proc. 7th International Conference on Condition Monitoring & Machinery Failure Prevention Technologies, Stratford-upon-Avon, England, June 2010.
- Kuravsky L. S., Marmalyuk P .A., Panfilova A. S. Estimation of goodness-of-fit measures for identification of unrestricted factor models employing arbitrarily distributed observed data // Proc. 8th International Conference on Condition Monitoring & Machinery Failure Prevention Technologies, Cardiff, UK, June 2011.
- Rasch G. Probabilistic models for some intelligence and attainment tests // Copenhagen, Danish Institute for Educational Research / Expanded edition with foreword and afterword by B. D. Wright. Chicago: The University of Chicago Press. 1980.
- Roweis S., Ghahramani Z. A unifying review of linear Gaussian models // Neural Computation. V. 11. № 2. 1999. P. 305–345.
- Wright B. D., Masters G. N. Rating scale analysis. Rasch measurements. Chicago: MESA Press, 1982.
- Wright B. D., Stone M. N. Best Test Design. Chicago: MESA Press, 1979.
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