factor analysis, item response theory, latent variables, EM algorithm, marginal likelihood estimation, GLS estimation, adaptive quadrature, monte carlo integration,
The most likely coefficients extracted by the process of likelihood assignment and marginalization, ...
Description Analysis of dichotomous and polytomous response data using unidimensional and multidimen...
Marginal maximum-likelihood procedures for parameter estimation and testing the fit of a hierarchica...
A Metropolis–Hastings Robbins–Monro (MH-RM) algorithm for high-dimensional maximum marginal likeliho...
estimation of item parameters, EM algorithm, item analysis, latent trait, dichotomous factor analysi...
Although the Bock–Aitkin likelihood-based estimation method for factor analysis of dichotomous item ...
bi-factor model, marginal maximum likelihood, EM algorithm, item analysis, dichotomous factor analys...
A method of item factor analysis based on Thur-stone’s multiple-factor model and implemented by marg...
A full-information item factor analysis model for multidimensional polytomously scored item response...
item response theory, true score theory, latent ability estimates, maximum likelihood, weighted maxi...
This technical note proposes a novel profile likelihood method for estimating the covariance paramet...
Factor analysis, a statistical method for modeling the covariance structure of high dimensional data...
latent variables, thresholds, reparameterization, Fletcher-Powell algorithms, information matrix, pa...
Latent variable models have been widely applied in different fields of research in which the con- st...
Bayes estimates, full-information factor analysis, Gibbs sampler, item response theory, Markov chain...
The most likely coefficients extracted by the process of likelihood assignment and marginalization, ...
Description Analysis of dichotomous and polytomous response data using unidimensional and multidimen...
Marginal maximum-likelihood procedures for parameter estimation and testing the fit of a hierarchica...
A Metropolis–Hastings Robbins–Monro (MH-RM) algorithm for high-dimensional maximum marginal likeliho...
estimation of item parameters, EM algorithm, item analysis, latent trait, dichotomous factor analysi...
Although the Bock–Aitkin likelihood-based estimation method for factor analysis of dichotomous item ...
bi-factor model, marginal maximum likelihood, EM algorithm, item analysis, dichotomous factor analys...
A method of item factor analysis based on Thur-stone’s multiple-factor model and implemented by marg...
A full-information item factor analysis model for multidimensional polytomously scored item response...
item response theory, true score theory, latent ability estimates, maximum likelihood, weighted maxi...
This technical note proposes a novel profile likelihood method for estimating the covariance paramet...
Factor analysis, a statistical method for modeling the covariance structure of high dimensional data...
latent variables, thresholds, reparameterization, Fletcher-Powell algorithms, information matrix, pa...
Latent variable models have been widely applied in different fields of research in which the con- st...
Bayes estimates, full-information factor analysis, Gibbs sampler, item response theory, Markov chain...
The most likely coefficients extracted by the process of likelihood assignment and marginalization, ...
Description Analysis of dichotomous and polytomous response data using unidimensional and multidimen...
Marginal maximum-likelihood procedures for parameter estimation and testing the fit of a hierarchica...
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