Small-Sample Robust Estimators of Noncentrality-Based and Incremental Model Fit

• Published in: Structural equation modeling Vol. 16; no. 1; pp. 1 - 27
• Main Authors: Herzog, Walter, Boomsma, Anne
• Format: Journal Article
• Language: English
• Published: Hove Taylor & Francis Group 01.01.2009; Psychology Press
• Subjects: Computation; Computer Software; Estimating techniques; Goodness of Fit; Intervals; Maximum likelihood method; Monte Carlo Methods; Monte Carlo simulation; Sample Size; Statistical Analysis; Structural Equation Models

Traditional estimators of fit measures based on the noncentral chi-square distribution (root mean square error of approximation [RMSEA], Steiger's γ, etc.) tend to overreject acceptable models when the sample size is small. To handle this problem, it is proposed to employ Bartlett's (1950)...