The asymptotic cumulants of the parameter estimators for the three-parameter logistic model in item response theory are derived up to the fourth order with the higher-order added asymptotic variances. The asymptotic cumulants of the corresponding Studentized estimators up to the third order are also given. The estimators are obtained by marginal maximum likelihood using the standard normal distribution for the latent variable with and without model misspecification. Numerical examples with fixed guessing parameters show advantages of the asymptotic expansions over the usual normal approximation
The large samples and item pools required for accurate parameter estimation under the three-paramete...
This paper surveys the techniques used in item response theory to estimate the parameters of the it...
AbstractGeneral formulas of the asymptotic cumulants of a studentized parameter estimator are given ...
Item response theory, Bias, Skewness, Marginal maximum likelihood, Model misspecification, Asymptoti...
Birnbaum's three-parameter logistic function has become a common basis for item response theory...
AbstractAsymptotic expansions of the distributions of the pivotal statistics involving log-likelihoo...
Asymptotic expansions of the distributions of the pivotal statistics involving log-likelihood deriva...
AbstractBounds for higher-order cumulants of statistics arising from a linear time series regression...
An upper-asymptcate parameter was added to the three-parameter logistic item response model. This fo...
Asymptotic standard errors (SEs) of item re-sponse theory equating coefficient estimates are derived...
Asymptotic standard errors (SEs) of item re-sponse theory equating coefficient estimates are derived...
74 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.In the logistic item response ...
74 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.In the logistic item response ...
The large samples and item pools required for accurate parameter estimation under the three-paramete...
The large samples and item pools required for accurate parameter estimation under the three-paramete...
The large samples and item pools required for accurate parameter estimation under the three-paramete...
This paper surveys the techniques used in item response theory to estimate the parameters of the it...
AbstractGeneral formulas of the asymptotic cumulants of a studentized parameter estimator are given ...
Item response theory, Bias, Skewness, Marginal maximum likelihood, Model misspecification, Asymptoti...
Birnbaum's three-parameter logistic function has become a common basis for item response theory...
AbstractAsymptotic expansions of the distributions of the pivotal statistics involving log-likelihoo...
Asymptotic expansions of the distributions of the pivotal statistics involving log-likelihood deriva...
AbstractBounds for higher-order cumulants of statistics arising from a linear time series regression...
An upper-asymptcate parameter was added to the three-parameter logistic item response model. This fo...
Asymptotic standard errors (SEs) of item re-sponse theory equating coefficient estimates are derived...
Asymptotic standard errors (SEs) of item re-sponse theory equating coefficient estimates are derived...
74 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.In the logistic item response ...
74 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.In the logistic item response ...
The large samples and item pools required for accurate parameter estimation under the three-paramete...
The large samples and item pools required for accurate parameter estimation under the three-paramete...
The large samples and item pools required for accurate parameter estimation under the three-paramete...
This paper surveys the techniques used in item response theory to estimate the parameters of the it...
AbstractGeneral formulas of the asymptotic cumulants of a studentized parameter estimator are given ...