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Direct linkHerzog, Walter; Boomsma, Anne – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Traditional estimators of fit measures based on the noncentral chi-square distribution (root mean square error of approximation [RMSEA], Steiger's [gamma], etc.) tend to overreject acceptable models when the sample size is small. To handle this problem, it is proposed to employ Bartlett's (1950), Yuan's (2005), or Swain's (1975) correction of the…
Descriptors: Intervals, Sample Size, Monte Carlo Methods, Computation
