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A Bayesian Random Effects Model for Testlets SAT

Author(s):
Bradlow, Eric T.; Wainer, Howard; Wang, Xiaohui
Publication Year:
1998
Report Number:
RR-98-03
Source:
ETS Research Report
Document Type:
Report
Page Count:
31
Subject/Key Words:
Bayesian Statistics, Data Augmented Gibbs Sampler, Item Response Models, Models, Testlets, SAT

Abstract

The modified and standard IRT models are both applied to a data set from a disclosed form of the SAT. We also provide simulation results that indicate that the degree of precision bias is a function of the variability of the testlet effects, as well as the testlet design.

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