Creating IRT-Based Parallel Test Forms Using the Genetic Algorithm Method

Autor/inn/en	Sun, Koun-Tem; Chen, Yu-Jen; Tsai, Shu-Yen; Cheng, Chien-Fen
Titel	Creating IRT-Based Parallel Test Forms Using the Genetic Algorithm Method
Quelle	In: Applied Measurement in Education, 21 (2008) 2, S.141-161 (21 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0895-7347
Schlagwörter	Test Format; Measurement Techniques; Equations (Mathematics); Item Response Theory; Educational Research; Evaluation Methods; Test Construction; Error of Measurement; Test Items + Suchen Sie Ihr Suchwort? Testentwicklung; Messtechnik; Equations; Mathematics; Gleichungslehre; Item-Response-Theorie; Bildungsforschung; Pädagogische Forschung; Testaufbau; Messfehler; Test content; Testaufgabe
Abstract	In educational measurement, the construction of parallel test forms is often a combinatorial optimization problem that involves the time-consuming selection of items to construct tests having approximately the same test information functions (TIFs) and constraints. This article proposes a novel method, genetic algorithm (GA), to construct parallel test forms effectively. The sum of squared errors of the generated TIFs produced by GA were compared with those of the Swanson and Stocking method, and the Wang and Ackerman method. Experimental results show that tests constructed using GA yielded lower error, and an average improvement ratio above 90%. (Contains 7 tables, 7 figures, and 2 footnotes.) (Author).
Anmerkungen	Lawrence Erlbaum. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals/default.html
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10