DocumentCode :
3142645
Title :
The Analysis of Response Patterns on IRT Ability Estimation Methods in Computerized Adaptive Test
Author :
Chen, Deng-Jyi ; Lai, Ah-Fur ; Mao, Chia-Chi
Author_Institution :
Nat. Chiao Tung Univ., Hsinchu
fYear :
2007
fDate :
18-20 July 2007
Firstpage :
721
Lastpage :
722
Abstract :
The main purpose of the study was to compare four ability estimation engines (which are OWEN, EAP, MLE, and WLE) regarding the convergent state and divergent state, and dynamic behaviors under different types of test-taker´s response pattern in CAT.
Keywords :
estimation theory; statistical testing; CAT; EAP; IRT ability estimation methods; MLE; OWEN; WLE; computerized adaptive test; item response theory; response patterns analysis; Bayesian methods; Computer science; Convergence; Engines; Length measurement; Maximum likelihood estimation; Pattern analysis; State estimation; Switches; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on
Conference_Location :
Niigata
Print_ISBN :
0-7695-2916-X
Type :
conf
DOI :
10.1109/ICALT.2007.237
Filename :
4281138
Link To Document :
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