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Estimation (Mathematics)2
Maximum Likelihood Statistics2
Sample Size2
Statistical Bias2
Error of Measurement1
Goodness of Fit1
Least Squares Statistics1
Monte Carlo Methods1
Statistical Significance1
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Structural Equation Modeling2
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Finch, John F.1
Foss, Tron1
Howell, Roy D.1
Olsson, Ulf Henning1
Troye, Sigurd V.1
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The Performance of ML, GLS, and WLS Estimation in Structural Equation Modeling under Conditions of Misspecification and Nonnormality.
Peer reviewed Peer reviewed
Olsson, Ulf Henning; Foss, Tron; Troye, Sigurd V.; Howell, Roy D. – Structural Equation Modeling, 2000
Used simulation to demonstrate how the choice of estimation method affects indexes of fit and parameter bias for different sample sizes when nested models vary in terms of specification error and the data demonstrate different levels of kurtosis. Discusses results for maximum likelihood (ML), generalized least squares (GLS), and weighted least…
Descriptors: Estimation (Mathematics), Goodness of Fit, Least Squares Statistics, Maximum Likelihood Statistics
Effects of Sample Size and Nonnormality on the Estimation of Mediated Effects in Latent Variable Models.
Peer reviewed Peer reviewed
Finch, John F.; And Others – Structural Equation Modeling, 1997
A Monte Carlo approach was used to examine bias in the estimation of indirect effects and their associated standard errors. Results illustrate the adverse effects of nonnormality on the accuracy of significance tests in latent variable models estimated using normal theory maximum likelihood statistics. (SLD)
Descriptors: Error of Measurement, Estimation (Mathematics), Maximum Likelihood Statistics, Monte Carlo Methods