Use of Robust z in Detecting Unstable Items in Item Response Theory Models
DOI
https://doi.org/10.7275/ycx6-e864
Abstract
The first part of this paper describes the use of the robust zR statistic to link test forms using the Rasch (or one-parameter logistic) model. The procedure is then extended to the two-parameter and three-parameter logistic and two-parameter partial credit (2PPC) models. A real set of data was used to illustrate the extension. The linking results illustrate the efficacy of the robust zR vis-Ã -vis some of the most commonly used processes such as the Stocking and Lord (1983) linking process. Accessed 12,248 times on https://pareonline.net from January 19, 2010 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Huynh, Huynh and Meyer, Patrick
(2019)
"Use of Robust z in Detecting Unstable Items in Item Response Theory Models,"
Practical Assessment, Research, and Evaluation: Vol. 15, Article 2.
DOI: https://doi.org/10.7275/ycx6-e864
Available at:
https://scholarworks.umass.edu/pare/vol15/iss1/2