Information matrices and standard errors for MLEs of item parameters in IRT

DOI10.1007/s11336-013-9334-4zbMath1288.62192OpenAlexW2054460799WikidataQ87499094 ScholiaQ87499094MaRDI QIDQ2452300

Jeff Patton, Ying Cheng, Ke-Hai Yuan

Publication date: 2 June 2014

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-013-9334-4

zbMATH Keywords

Monte Carloobserved information matrixstandard errorsmodel misspecificationsandwich-type covariance matrix

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (7)

Generalized fiducial inference for binary logistic item response models ⋮ A generalized speed-accuracy response model for dichotomous items ⋮ Reliability coefficients for multiple group item response theory models ⋮ Generalized fiducial inference for logistic graded response models ⋮ Power analysis for the Wald, LR, score, and gradient tests in a marginal maximum likelihood framework: applications in IRT ⋮ Information matrix estimation procedures for cognitive diagnostic models ⋮ Item response theory observed-score kernel equating

Uses Software

• Mplus
• robustbase
• EQS
• BILOG
• TESTFACT
• bootstrap

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Longitudinal data analysis using generalized linear models
• Asymptotic expansions for the pivots using log-likelihood derivatives with an application in item response theory
• Bayes modal estimation in item response models
• Some standard errors in item response theory
• The theoretical detect index of dimensionality and its application to approximate simple structure
• Item response theory with estimation of the latent population distribution using spline-based densities
• A nonparametric approach for assessing latent trait unidimensionality
• Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information
• Bias reduction of maximum likelihood estimates
• Item Response Theory
• Robust Statistics
• Maximum Likelihood Estimation of Misspecified Models

This page was built for publication: Information matrices and standard errors for MLEs of item parameters in IRT