An approximation for the bias function of the maximum likelihood estimate of a latent variable for the general case where the item responses are discrete

DOI10.1007/BF02294476zbMath0775.62318OpenAlexW2059451935MaRDI QIDQ2367537

Fumiko Samejima

Publication date: 12 September 1993

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02294476

Mathematics Subject Classification ID

Approximations to statistical distributions (nonasymptotic) (62E17) Applications of statistics to psychology (62P15)

Related Items (5)

Some critical observations of the test information function as a measure of local accuracy in ability estimation ⋮ Departure from normal assumptions: A promise for future psychometrics with substantive mathematical modeling ⋮ Graded response model based on the logistic positive exponent family of models for dichotomous responses ⋮ On latent trait estimation in multidimensional compensatory item response models ⋮ Efficient nonparametric approaches for estimating the operating characteristics of discrete item responses

Cites Work

• Homogeneous case of the continuous response model
• Unbiased estimators of ability parameters, of their variance, and of their parallel-forms reliability
• A method of estimating item characteristic functions using the maximum likelihood estimate of ability
• Unnamed Item

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