Title

Type I Error Rates for Generalized Graded Unfolding Model Fit Indices

Publication Date

2004

Document Type

Article

Abstract

Type I error rates were examined for several fit indices available in GGUM2000: extensions of Infit, Outfit, Andrich’s χ2, and the log-likelihood ratio χ2. Infit and Outfit had Type I error rates much lower than nominal α. Andrich’s χ2 had Type I error rates much higher than nominal α, particularly for shorter tests or larger sample sizes. The log-likelihood χ2 had Type I error rates near or below nominal α for small samples or longer tests but had inflated error rates with large samples and shorter tests. For conditions in which the log-likelihood ratio χ2 did not perform well, alternative fit indices or modifications to these procedures should be considered in future studies.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Share

COinS