Efficient standard error formulas of ability estimators with dichotomous item response models

DOI10.1007/s11336-015-9443-3zbMath1342.62189OpenAlexW2086007547WikidataQ50957824 ScholiaQ50957824MaRDI QIDQ736438

David Magis

Publication date: 4 August 2016

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-015-9443-3

zbMATH Keywords

item response theorymaximum likelihoodBayesian estimationrobust estimationweighted likelihoodasymptotic standard errorability estimation

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Robustness and adaptive procedures (parametric inference) (62F35) Applications of statistics to psychology (62P15)

Related Items (1)

On the finiteness of the weighted likelihood estimator of ability

Uses Software

• R
• sandwich
• ConQuest
• catIrt
• catR
• irtoys
• PP

Cites Work

• Asymptotic cumulants of ability estimators using fallible item parameters
• Unbiased estimators of ability parameters, of their variance, and of their parallel-forms reliability
• Bayes modal estimation in item response models
• Robust estimation of ability in the Rasch model
• Asymptotics of estimating equations under natural conditions.
• Asymptotic properties of the Bayes and pseudo Bayes estimators of ability in item response theory
• Theory of probability and random processes.
• Statistical theory for logistic mental test models with a prior distribution of ability
• On the asymptotic standard error of a class of robust estimators of ability in dichotomous item response models
• Item Response Theory
• Robust Estimation of a Location Parameter
• Robust Statistics
• Unnamed Item
• Unnamed Item
• Unnamed Item

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