The logistic versions of Samejima’s (1969) graded response model and Muraki’s (1992) gen-eralized partial-credit model are parameterized differently by MULTILOG (Thissen, 1991) and PARSCALE (Muraki & Bock, 1996). Procedures for obtaining comparable item parameter estimates from MULTILOG and PARSCALE are described and example command files are provided. Index terms: generalized partial-credit model, graded response model, item parameter estimation, item re-sponse theory (parameter estimation), MULTILOG, PARSCALE, polytomous models. MULTILOG (Thissen, 1991) and PARSCALE (Muraki & Bock, 1996) item parameter estimates for the logistic versions of Samejima’s (1969) graded response model (GRM) and Muraki’s (1992) generalized partial-credi...
Item response theory models are measurement models for categorical responses. Traditionally, the mod...
This study examined the application of the MML-EM algorithm to the parameter estimation problems of...
Item response theory models are measurement models for categorical responses. Traditionally, the mod...
Using simulated data, MUL TILOG and P ARSCALE were compared on their recovery of item and trait para...
Abstract: Generalised Partial Credit Model (GPCM) is used in the case of a test with graded response...
Computerized adaptive testing prrcedures (CATPs) based on the graded response method (GRM) of F. Sam...
Several item response models have been proposed for fitting Likert-type data. Thissen & Steinberg (...
Several item response models have been proposed for fitting Likert-type data. Thissen & Steinber...
Orlando and Thissen (2000, 2003) proposed an item-fit index, S-X2, for dichotomous item response the...
埼玉県越谷市Generally, item response models, including the two-parameter logistic model, can only deal wit...
Investigating the fit of a parametric model is an important part of the measurement process when imp...
Investigating the fit of a parametric model is an important part of the measurement process when imp...
Polytomous Item Response Theory Models provides a unified, comprehensive introduction to the range o...
The partial credit model (PCM) (G. N. Masters, 1982) can be viewed as a generalization of the Rasch ...
The partial credit model (PCM) (G.N. Masters, 1982) can be viewed as a generalization of the Rasch m...
Item response theory models are measurement models for categorical responses. Traditionally, the mod...
This study examined the application of the MML-EM algorithm to the parameter estimation problems of...
Item response theory models are measurement models for categorical responses. Traditionally, the mod...
Using simulated data, MUL TILOG and P ARSCALE were compared on their recovery of item and trait para...
Abstract: Generalised Partial Credit Model (GPCM) is used in the case of a test with graded response...
Computerized adaptive testing prrcedures (CATPs) based on the graded response method (GRM) of F. Sam...
Several item response models have been proposed for fitting Likert-type data. Thissen & Steinberg (...
Several item response models have been proposed for fitting Likert-type data. Thissen & Steinber...
Orlando and Thissen (2000, 2003) proposed an item-fit index, S-X2, for dichotomous item response the...
埼玉県越谷市Generally, item response models, including the two-parameter logistic model, can only deal wit...
Investigating the fit of a parametric model is an important part of the measurement process when imp...
Investigating the fit of a parametric model is an important part of the measurement process when imp...
Polytomous Item Response Theory Models provides a unified, comprehensive introduction to the range o...
The partial credit model (PCM) (G. N. Masters, 1982) can be viewed as a generalization of the Rasch ...
The partial credit model (PCM) (G.N. Masters, 1982) can be viewed as a generalization of the Rasch m...
Item response theory models are measurement models for categorical responses. Traditionally, the mod...
This study examined the application of the MML-EM algorithm to the parameter estimation problems of...
Item response theory models are measurement models for categorical responses. Traditionally, the mod...