Free shipping - safe payment - money back guarantee

Do you like the product? If so, just tell it to your friends!


The study presented the formulation of an IRT model for polytomously scored Likert-type data under the framework of the nonlinear mixed model. The formulated polytomous nonlinear mixed model (PNLMM) was demonstrated to be equivalent to Muraki s rating scale model (1990). Due to the flexibility of the framework, the PNLMM was easily extended into a model for differential item functioning analysis and a regression-type model with a person-level covariate. Using simulations, the accuracy of SAS PROC NLMIXED in estimating the latent trait and the item parameters for the PNLMM was examined through eight common indicators. The correlations between PROC NLMIXED and PARSCALE estimates for model parameters were also evaluated. The results and their educational importance were discussed.


Author Seon-Hi Shin

Product Details


GTIN 9783639184310

Language English

Pages 112

Product type Paperback

Product Weight 5.71 ounces

A Polytomous Nonlinear Mixed Model for Item Analysis

Item Calibration Using SAS PROC NLMIXED and PARSCALE

Seon-Hi Shin


Seller: Dodax EU

Delivery date: between Tuesday, August 18 and Thursday, August 20

Condition: New

Check other buying options

VAT included - FREE Shipping
Add to cart Add to cart
Check other buying options VAT included - FREE Shipping