Article

Use of Robust z in Detecting Unstable Items in Item Response Theory Models

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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.

Keywords: Test Construction

How to Cite:

Huynh, H. & Meyer, P., (2010) “Use of Robust z in Detecting Unstable Items in Item Response Theory Models”, Practical Assessment, Research, and Evaluation 15(1): 2. doi: https://doi.org/10.7275/ycx6-e864