Statistical Inference Based on Latent Ability Estimates

The quality of approximations to first- and second-order moments based on latent ability estimates is discussed. The ability estimates are based on the Rasch or the two-parameter logistic model, and true score theory is used to account for the fact that the basic quantities are estimates. (SLD)

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Bibliographic Details
Published inPsychometrika Vol. 61; no. 2; p. 313
Main Authors Hoijtink, Herbert, Boomsma, Anne
Format Journal Article
LanguageEnglish
Published 01.06.1996
Subjects
Ability
Bayesian Statistics
Estimation (Mathematics)
Item Response Theory
Latent Ability Distributions
Maximum Likelihood Statistics
Rasch Model
Regression (Statistics)
Statistical Inference
True Scores
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Summary:The quality of approximations to first- and second-order moments based on latent ability estimates is discussed. The ability estimates are based on the Rasch or the two-parameter logistic model, and true score theory is used to account for the fact that the basic quantities are estimates. (SLD)
ISSN:0033-3123
DOI:10.1007/bf02294342