A full-information item factor analysis model for multidimensional polytomously scored item response data is developed as an extension of previous work by several authors. The model is expressed both in factor-analytic and item response theory parameters. Reckase’s multidimensional parameters for the model also are discussed as well as the related geometry. An EM algorithm for estimation of the model parameters is presented and results of the analysis of item response data by a computer program incorporating this algorithm are presented. Index terms: EM algorithm, full-information item factor analysis, multidimensional item response theory, polytomous response data
The full-information item factor analysis model proposed by Bock and Aitkin (1981) is described, an...
A method of item factor analysis based on Thur-stone’s multiple-factor model and implemented by marg...
bi-factor model, marginal maximum likelihood, EM algorithm, item analysis, dichotomous factor analys...
Many factor analysis and multidimensional item response models for dichotomous variables have been p...
Many multidimensional item response theory (IRT) models have been proposed. A comparison is made bet...
埼玉県越谷市Generally, item response models, including the two-parameter logistic model, can only deal wit...
A framework for modeling componential data using item response theory models for polytomous items is...
The estimation of polytomous item response models with many dimensions Follow this and additional wo...
Description Analysis of dichotomous and polytomous response data using unidimensional and multidimen...
Polytomous Item Response Theory Models provides a unified, comprehensive introduction to the range o...
Description Analysis of dichotomous and polytomous response data using unidimensional and multidimen...
This paper illustrates how graphical analyses can en-hance the interpretation and understanding of m...
Description Analysis of dichotomous and polytomous response data using unidimensional and multidimen...
The concept of information functions developed for dichotomous item response models is adapted for t...
This study examined the application of the MML-EM algorithm to the parameter estimation problems of...
The full-information item factor analysis model proposed by Bock and Aitkin (1981) is described, an...
A method of item factor analysis based on Thur-stone’s multiple-factor model and implemented by marg...
bi-factor model, marginal maximum likelihood, EM algorithm, item analysis, dichotomous factor analys...
Many factor analysis and multidimensional item response models for dichotomous variables have been p...
Many multidimensional item response theory (IRT) models have been proposed. A comparison is made bet...
埼玉県越谷市Generally, item response models, including the two-parameter logistic model, can only deal wit...
A framework for modeling componential data using item response theory models for polytomous items is...
The estimation of polytomous item response models with many dimensions Follow this and additional wo...
Description Analysis of dichotomous and polytomous response data using unidimensional and multidimen...
Polytomous Item Response Theory Models provides a unified, comprehensive introduction to the range o...
Description Analysis of dichotomous and polytomous response data using unidimensional and multidimen...
This paper illustrates how graphical analyses can en-hance the interpretation and understanding of m...
Description Analysis of dichotomous and polytomous response data using unidimensional and multidimen...
The concept of information functions developed for dichotomous item response models is adapted for t...
This study examined the application of the MML-EM algorithm to the parameter estimation problems of...
The full-information item factor analysis model proposed by Bock and Aitkin (1981) is described, an...
A method of item factor analysis based on Thur-stone’s multiple-factor model and implemented by marg...
bi-factor model, marginal maximum likelihood, EM algorithm, item analysis, dichotomous factor analys...