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Variational Estimation for Multidimensional Generalized Partial Credit Model

Authors :
Chengyu Cui
Chun Wang
Gongjun Xu
Source :
Grantee Submission. 2024.
Publication Year :
2024

Abstract

Multidimensional item response theory (MIRT) models have generated increasing interest in the psychometrics literature. Efficient approaches for estimating MIRT models with dichotomous responses have been developed, but constructing an equally efficient and robust algorithm for polytomous models has received limited attention. To address this gap, this paper presents a novel Gaussian variational estimation algorithm for the multidimensional generalized partial credit model (MGPCM). The proposed algorithm demonstrates both fast and accurate performance, as illustrated through a series of simulation studies and two real data analyses. [This is the online version of an article published in "Psychometrika."]

Details

Language :
English
Database :
ERIC
Journal :
Grantee Submission
Publication Type :
Report
Accession number :
ED652690
Document Type :
Reports - Research
Full Text :
https://doi.org/10.1007/s11336-024-09955-8