Robust Chi-Square in Extreme and Boundary Conditions: Comments on Jak et al. (2021)

Abstract

In this article we describe a modification of the robust chi-square test of fit that yields more accurate type I error rates when the estimated model is at the boundary of the admissible space.

Keywords

• robust chi-square
• Mplus
• boundary conditions