A Polytomous Nonlinear Mixed Model for Item Analysis: Item Calibration Using SAS PROC NLMIXED and PARSCALE - Softcover

Shin, Seon-Hi

Softcover

ISBN 10: 3639184319 ISBN 13: 9783639184310

Publisher: VDM Verlag, 2009

Synopsis

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.

About this title

About the Author

Seon-Hi Shin is an assistant professor in the Department of Advanced Studies in Education and Counseling at California State University, Long Beach. She teaches courses in statistics, psychometrics, and research methodology and conducts research activities related to her field. She received a Ph.D. from the University of Texas at Austin in 2003.

Edition details

• Publisher: VDM Verlag
• Publication date: 2009
• Language: English
• ISBN 10: 3639184319
• ISBN 13: 9783639184310
• Binding: Paperback
• Number of pages: 112