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The General LISREL Model. Ulf H. Olsson Professor of statistics. ESTIMATORS. If the data are continuous and approximately follow a multivariate Normal distribution, then the Method of Maximum Likelihood is recommended.
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The General LISREL Model Ulf H. Olsson Professor of statistics
ESTIMATORS • If the data are continuous and approximately follow a multivariate Normal distribution, then the Method of Maximum Likelihood is recommended. • If the data are continuous and approximately do not follow a multivariate Normal distribution and the sample size is not large, then the Robust Maximum Likelihood Method is recommended. This method will require an estimate of the asymptotic covariance matrix of the sample variances and covariances. • If the data are ordinal, categorical or mixed, then the Diagonally Weighted Least Squares (DWLS) method for Polychoric correlation matrices is recommended. This method will require an estimate of the asymptotic covariance matrix of the sample correlations. Ulf H. Olsson
Ordinal Variables • In practice, observed or measured variables are often ordinal • However, ordinality is often ignored and numbers such as 1,2,3, etc. representing ordered categories, are treated as continuous variables. But, this is incorrect! Ulf H. Olsson
Branch Loan Satisfaction Loyalty Savings Making Numbers Ulf H. Olsson
Making Numbers-Econometric Model Ulf H. Olsson
Making Numbers-Psychometric Model Ulf H. Olsson
Making Numbers-Psychometric Model Ulf H. Olsson
Parameter Function Ulf H. Olsson
The Maximum Likelihood Estimator Ulf H. Olsson
ML and RLS(NWLS) k is the number of manifest variables. D is the duplication matrix (Magnus and Neudecker 1988) and is the ML estimate. Ulf H. Olsson
Drink and Drive case See word file: Drinkdrivecaseuke38.doc Ulf H. Olsson
0.33 0.33 0.46 0.29 0.17 0.35 Branch 0.40 0.39 0.33 0.44 0.37 0.37 0.80 0.80 0.83 0.86 0.83 0.84 Loan Satisfaction Loyalty 0.26 0.23 0.21 0.28 0.23 0.23 Savings Making Numbers Chi-sq. 1769.36 925.78 1731.09 839.83 518.94 582.91 df=182 Ulf H. Olsson