A new concurrent calibration method for nonequivalent group design under nonrandom assign\-ment

DOI10.1007/s11336-008-9076-xzbMath1263.62139OpenAlexW2042990896MaRDI QIDQ1013047

Shin-ichi Mayekawa, Kazuo Shigemasu, Takahiro Hoshino, Kei Miyazaki

Publication date: 16 April 2009

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-008-9076-x

zbMATH Keywords

item response theorynonignorable missingnesscommon-item designconcurrent calibrationIRT linkingMonte Carlo expectation maximization (MCEM) algorithmmultinomial logistic regression model

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Applications of statistics to psychology (62P15)

Related Items (1)

The missing data assumptions of the NEAT design and their implications for test equating

Cites Work

• A Bayesian propensity score adjustment for latent variable modeling and MCMC algorithm
• Estimation of latent ability and item parameters when there are omitted responses
• Observed-score equating as a test assembly problem
• A propensity score adjustment for multiple group structural equation modeling
• Doubly robust-type estimation for covariate adjustment in latent variable modeling
• Missing responses in generalised linear mixed models when the missing data mechanism is nonignorable
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