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Maximum Likelihood Statistics2
Algorithms1
Estimation (Mathematics)1
Goodness of Fit1
Least Squares Statistics1
Sample Size1
Statistical Bias1
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Structural Equation Modeling2
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Enders, Craig K.1
Foss, Tron1
Howell, Roy D.1
Olsson, Ulf Henning1
Troye, Sigurd V.1
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A Primer on Maximum Likelihood Algorithms Available for Use with Missing Data. Teacher's Corner.
Peer reviewed Peer reviewed
Enders, Craig K. – Structural Equation Modeling, 2001
Provides a comprehensive, nontechnical overview of the three maximum likelihood algorithms available for use with missing data and discusses multiple imputation, frequently used in conjunction with the EM algorithm. (SLD)
Descriptors: Algorithms, Maximum Likelihood Statistics
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