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PDF pending restorationMarsh, Herbert W.; Balla, John – 1992
The influence of sample size (N) and model parsimony on a set of 22 goodness of fit indices was investigated, including those typically used in confirmatory factor analysis and some recently developed indices. For sample data simulated from 2 known population data structures, values for 6 of 22 fit indices were reasonably independent of N and were…
Descriptors: Comparative Analysis, Computer Simulation, Estimation (Mathematics), Foreign Countries
Download full textMarsh, Herbert W.; And Others – 1989
The purpose of the present investigation is to examine the influence of sample size (N) and model complexity on a set of 23 goodness-of-fit (GOF) indices, including those typically used in confirmatory factor analysis. The focus was on two potential problems in assessing GOF: (1) some fit indices are substantially influenced by N so that tests of…
Descriptors: Computer Simulation, Difficulty Level, Factor Analysis, Goodness of Fit
Rule, David L. – 1993
Several regression methods were examined within the framework of weighted structural regression (WSR), comparing their regression weight stability and score estimation accuracy in the presence of outlier contamination. The methods compared are: (1) ordinary least squares; (2) WSR ridge regression; (3) minimum risk regression; (4) minimum risk 2;…
Descriptors: Analysis of Covariance, Bayesian Statistics, Comparative Analysis, Computer Simulation
