The Analysis of Response Patterns on IRT Ability Estimation Methods in Computerized Adaptive Test

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.

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Bibliographic Details
Published inSeventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007) pp. 721 - 722
Main Authors Deng-Jyi Chen, Ah-Fur Lai, Chia-Chi Mao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2007
Subjects
Bayesian methods
Computer science
Convergence
Engines
Length measurement
Maximum likelihood estimation
Pattern analysis
State estimation
Switches
System testing
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Summary: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.
ISBN:9780769529165
076952916X
ISSN:2161-3761
2161-377X
DOI:10.1109/ICALT.2007.237