Mplus VERSION 3.01 MUTHEN & MUTHEN 06/07/2004 6:07 PM INPUT INSTRUCTIONS title: Data from page 162 in EQS program. Input based on Appendix 6.1 page 162. Figure 6.1 page 77, first 3 groups only. Output. Table 6.2 (true longitudinal), page 79. NOTE. Correlation is standardized value of int with slope. Also Table 6.3 (true longitudinal column), computed based on intercept and slope values, e.g. age 12: .286 + 0*.414 = .286 age 13: .286 + 1*.414 = .700 age 14: .286 + 2*.414 = 1.114 age 15: .286 + 3*.414 = 1.528 age 16: .286 + 4*.414 = 1.942 data: file = ch6tl.dat; format = free; type = means covariance; nobservations = 215; variable: names = y1 y2 y3 y4 y5; analysis: type = general meanstructure; model: ! below could be ! int by y1@1 y2@1 y3@1 y4@1 y5@1; int by y1@1; int by y2@1; int by y3@1; int by y4@1; int by y5@1; ! below could be ! slp by y1@0 y2@1 y3@2 y4@3 y5@4; slp by y1@0; slp by y2@1; slp by y3@2; slp by y4@3; slp by y5@4; [y1@0 y2@0 y3@0 y4@0 y5@0]; [int]; [slp]; output: standardized; INPUT READING TERMINATED NORMALLY Data from page 162 in EQS program. Input based on Appendix 6.1 page 162. Figure 6.1 page 77, first 3 groups only. Output. Table 6.2 (true longitudinal), page 79. NOTE. Correlation is standardized value of int with slope. Also Table 6.3 (true longitudinal column), computed based on intercept and slope values, e.g. age 12: .286 + 0*.414 = .286 age 13: .286 + 1*.414 = .700 age 14: .286 + 2*.414 = 1.114 age 15: .286 + 3*.414 = 1.528 age 16: .286 + 4*.414 = 1.942 SUMMARY OF ANALYSIS Number of groups 1 Number of observations 215 Number of dependent variables 5 Number of independent variables 0 Number of continuous latent variables 2 Observed dependent variables Continuous Y1 Y2 Y3 Y4 Y5 Continuous latent variables INT SLP Estimator ML Information matrix EXPECTED Maximum number of iterations 1000 Convergence criterion 0.500D-04 Maximum number of steepest descent iterations 20 Input data file(s) ch6tl.dat Input data format FREE THE MODEL ESTIMATION TERMINATED NORMALLY TESTS OF MODEL FIT Chi-Square Test of Model Fit Value 60.631 Degrees of Freedom 10 P-Value 0.0000 Chi-Square Test of Model Fit for the Baseline Model Value 338.235 Degrees of Freedom 10 P-Value 0.0000 CFI/TLI CFI 0.846 TLI 0.846 Loglikelihood H0 Value -1390.911 H1 Value -1360.595 Information Criteria Number of Free Parameters 10 Akaike (AIC) 2801.821 Bayesian (BIC) 2835.527 Sample-Size Adjusted BIC 2803.839 (n* = (n + 2) / 24) RMSEA (Root Mean Square Error Of Approximation) Estimate 0.153 90 Percent C.I. 0.118 0.192 Probability RMSEA <= .05 0.000 SRMR (Standardized Root Mean Square Residual) Value 0.106 MODEL RESULTS Estimates S.E. Est./S.E. Std StdYX INT BY Y1 1.000 0.000 0.000 0.527 0.759 Y2 1.000 0.000 0.000 0.527 0.627 Y3 1.000 0.000 0.000 0.527 0.486 Y4 1.000 0.000 0.000 0.527 0.453 Y5 1.000 0.000 0.000 0.527 0.361 SLP BY Y1 0.000 0.000 0.000 0.000 0.000 Y2 1.000 0.000 0.000 0.208 0.248 Y3 2.000 0.000 0.000 0.417 0.384 Y4 3.000 0.000 0.000 0.625 0.537 Y5 4.000 0.000 0.000 0.834 0.570 SLP WITH INT 0.014 0.017 0.855 0.131 0.131 Means INT 0.286 0.045 6.354 0.543 0.543 SLP 0.414 0.021 20.087 1.985 1.985 Intercepts Y1 0.000 0.000 0.000 0.000 0.000 Y2 0.000 0.000 0.000 0.000 0.000 Y3 0.000 0.000 0.000 0.000 0.000 Y4 0.000 0.000 0.000 0.000 0.000 Y5 0.000 0.000 0.000 0.000 0.000 Variances INT 0.278 0.049 5.695 1.000 1.000 SLP 0.043 0.010 4.385 1.000 1.000 Residual Variances Y1 0.205 0.042 4.901 0.205 0.424 Y2 0.356 0.042 8.405 0.356 0.504 Y3 0.666 0.075 8.939 0.666 0.567 Y4 0.600 0.079 7.548 0.600 0.442 Y5 1.050 0.140 7.526 1.050 0.491 R-SQUARE Observed Variable R-Square Y1 0.576 Y2 0.496 Y3 0.433 Y4 0.558 Y5 0.509 Beginning Time: 18:07:13 Ending Time: 18:07:14 Elapsed Time: 00:00:01 MUTHEN & MUTHEN 3463 Stoner Ave. Los Angeles, CA 90066 Tel: (310) 391-9971 Fax: (310) 391-8971 Web: www.StatModel.com Support: Support@StatModel.com Copyright (c) 1998-2004 Muthen & Muthen