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Partially Observed Mixtures of IRT Models: An Extension of the Generalized Partial Credit Model IRT

Author(s):
von Davier, Matthias; Yamamoto, Kentaro
Publication Year:
2003
Report Number:
RR-03-22
Source:
ETS Research Report
Document Type:
Report
Page Count:
27
Subject/Key Words:
Item Response Theory (IRT), Partial Credit Model

Abstract

a large-scale mathematics assessment into three school types and estimates a mixture IRT model for the whole sample in which the grouping information is unknown for 20% of the sample. The aim of the method is twofold: first, to estimate the latent distributions by school type and, second, to unmix the data with missing school types into the groups established by the portion of the sample with known school-type information.

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