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A Polytomous Nonlinear Mixed Model for Item Analysis

Item Calibration Using SAS PROC NLMIXED and PARSCALE
by Seon-Hi Shin - Sold by Dodax EU
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$66.12
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Seon-Hi Shin A Polytomous Nonlinear Mixed Model for Item Analysis
Seon-Hi Shin - A Polytomous Nonlinear Mixed Model for Item Analysis

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Delivery: between 2021-01-29 and 2021-02-02
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$66.12 incl. VAT
State: New
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Delivery: between 2021-01-29 and 2021-02-02
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Description

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.

Contributors

Author Seon-Hi Shin

Product Details

DUIN 70G8HRCTMHT

GTIN 9783639184310

Language English

Pages 112

Product type Paperback

Product Weight 5.71 ounces

$66.12
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