Mplus VERSION 3.0 MUTHEN & MUTHEN 04/22/2004 1:15 PM INPUT INSTRUCTIONS title: Data from table 4.1, page 54. Input adapted from Appendix 4.1 page 152. Figure 4.1 page 55. Output 4.1 page 57, tests just parameter 1 compare chi square for table 4.2 which is 9.489 to this chi square of this model of 7.806 9.489 - 7.806 = 1.683 (compared to 1.631 in book). You would repeat this process for other parameters. data: file is ch4.dat; format is free; type is means covariance; ngroups = 2; nobservations = 196 95; variable: names are v1 v2 v3; analysis: type = general meanstructure ; model: inter slope | v1@0 v2@1 v3@2; [inter] ; ! took out (1) [slope] (2); inter (3); slope (4); v1 (5); v2 (6); v3 (7); inter with slope (8); INPUT READING TERMINATED NORMALLY Data from table 4.1, page 54. Input adapted from Appendix 4.1 page 152. Figure 4.1 page 55. Output 4.1 page 57, tests just parameter 1 compare chi square for table 4.2 which is 9.489 to this chi square of this model of 7.806 9.489 - 7.806 = 1.683 (compared to 1.631 in book). You would repeat this process for other parameters. SUMMARY OF ANALYSIS Number of groups 2 Number of observations Group G1 196 Group G2 95 Number of dependent variables 3 Number of independent variables 0 Number of continuous latent variables 2 Observed dependent variables Continuous V1 V2 V3 Continuous latent variables INTER SLOPE 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) ch4.dat Input data format FREE THE MODEL ESTIMATION TERMINATED NORMALLY TESTS OF MODEL FIT Chi-Square Test of Model Fit Value 7.806 Degrees of Freedom 9 P-Value 0.5537 Chi-Square Test of Model Fit for the Baseline Model Value 269.474 Degrees of Freedom 6 P-Value 0.0000 CFI/TLI CFI 1.000 TLI 1.003 Loglikelihood H0 Value -1442.828 H1 Value -1438.925 Information Criteria Number of Free Parameters 9 Akaike (AIC) 2903.656 Bayesian (BIC) 2936.716 Sample-Size Adjusted BIC 2908.175 (n* = (n + 2) / 24) RMSEA (Root Mean Square Error Of Approximation) Estimate 0.000 90 Percent C.I. 0.000 0.084 SRMR (Standardized Root Mean Square Residual) Value 0.039 MODEL RESULTS Estimates S.E. Est./S.E. Group G1 INTER | V1 1.000 0.000 0.000 V2 1.000 0.000 0.000 V3 1.000 0.000 0.000 SLOPE | V1 0.000 0.000 0.000 V2 1.000 0.000 0.000 V3 2.000 0.000 0.000 INTER WITH SLOPE -0.082 0.096 -0.852 Means INTER 1.430 0.090 15.889 SLOPE 0.243 0.046 5.287 Intercepts V1 0.000 0.000 0.000 V2 0.000 0.000 0.000 V3 0.000 0.000 0.000 Variances INTER 1.023 0.186 5.506 SLOPE 0.426 0.097 4.373 Residual Variances V1 0.788 0.178 4.431 V2 0.969 0.111 8.700 V3 0.073 0.201 0.361 Group G2 INTER | V1 1.000 0.000 0.000 V2 1.000 0.000 0.000 V3 1.000 0.000 0.000 SLOPE | V1 0.000 0.000 0.000 V2 1.000 0.000 0.000 V3 2.000 0.000 0.000 INTER WITH SLOPE -0.082 0.096 -0.852 Means INTER 1.624 0.125 12.965 SLOPE 0.243 0.046 5.287 Intercepts V1 0.000 0.000 0.000 V2 0.000 0.000 0.000 V3 0.000 0.000 0.000 Variances INTER 1.023 0.186 5.506 SLOPE 0.426 0.097 4.373 Residual Variances V1 0.788 0.178 4.431 V2 0.969 0.111 8.700 V3 0.073 0.201 0.361 Beginning Time: 13:15:17 Ending Time: 13:15:18 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