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DATE: 5/ 2/2008 TIME: 2:47 L I S R E L 8.72 BY Karl G. J�reskog & Dag S�rbom This program is published exclusively by Scientific Software International, Inc. 7383 N. Lincoln Avenue, Suite 100 Lincolnwood, IL 60712, U.S.A. Phone: (800)247-6113, (847)675-0720, Fax: (847)675-2140 Copyright by Scientific Software International, Inc., 1981-2005 Use of this program is subject to the terms specified in the Universal Copyright Convention. Website: www.ssicentral.com The following lines were read from file C:\Numchai\�ç���ͺ���ż�\ͺ�� LISREL\Syntax Files\Model 1\Model 1.spl: Model 1 : Regression Observed Variables x1 x2 y Correlation Matrix 1 .65 1 .7 .5 1 Sample Size: 50 Relationships y = x1 x2 LISREL OUTPUT: ME=ML IT=250 EF SC Path Diagram End of Problem Model 1 : Regression Correlation Matrix y x1 x2 -------- -------- -------- y 1.00 x1 0.70 1.00 x2 0.50 0.65 1.00 Model 1 : Regression Parameter Specifications GAMMA x1 x2 -------- -------- y 1 2 PHI x1 x2 -------- -------- x1 3 x2 4 5 PSI y -------- 6 Model 1 : Regression Number of Iterations = 0 LISREL Estimates (Maximum Likelihood) GAMMA x1 x2 -------- -------- y 0.65 0.08 (0.14) (0.14) 4.75 0.57 Covariance Matrix of Y and X y x1 x2 -------- -------- -------- y 1.00 x1 0.70 1.00 x2 0.50 0.65 1.00 PHI x1 x2 -------- -------- x1 1.00 (0.21) 4.85 x2 0.65 1.00 (0.17) (0.21) 3.74 4.85 PSI y -------- 0.51 (0.10) 4.85 Squared Multiple Correlations for Structural Equations y -------- 0.49 Squared Multiple Correlations for Reduced Form y -------- 0.49 Goodness of Fit Statistics Degrees of Freedom = 0 Minimum Fit Function Chi-Square = 0.0 (P = 1.00) Normal Theory Weighted Least Squares Chi-Square = 0.00 (P = 1.00) The Model is Saturated, the Fit is Perfect ! Model 1 : Regression Standardized Solution GAMMA x1 x2 -------- -------- y 0.65 0.08 Correlation Matrix of Y and X y x1 x2 -------- -------- -------- y 1.00 x1 0.70 1.00 x2 0.50 0.65 1.00 PSI y -------- 0.51 Regression Matrix Y on X (Standardized) x1 x2 -------- -------- y 0.65 0.08 Model 1 : Regression Total and Indirect Effects Total Effects of X on Y x1 x2 -------- -------- y 0.65 0.08 (0.14) (0.14) 4.75 0.57 Model 1 : Regression Standardized Total and Indirect Effects Standardized Total Effects of X on Y x1 x2 -------- -------- y 0.65 0.08 Time used: 0.030 Seconds