Mplus VERSION 8.6
MUTHEN & MUTHEN
07/20/2021 5:59 PM
OUTPUT SECTIONS
INPUT INSTRUCTIONS TITLE: 7.1 LGM Modèle linéaire (Notation classique) DATA: FILE = Cortisol.dat ; LISTWISE = ON ; VARIABLE: NAMES = SID C1 C2 C3 C4 SEXE TTT CREVEIL T1 T2 T3 T4 TC1 TC2 TC3 TC4 FCT ; USEVARIABLES = C1 C2 C3 C4 ; ANALYSIS: ESTIMATOR = MLR ; MODEL: i BY C1-C4@1 ; s BY C1@0 C2@1 C3@2 C4@3 ; i WITH s ; INPUT READING TERMINATED NORMALLY 7.1 LGM Modèle linéaire (Notation classique) SUMMARY OF ANALYSIS Number of groups 1 Number of observations 101 Number of dependent variables 4 Number of independent variables 0 Number of continuous latent variables 2 Observed dependent variables Continuous C1 C2 C3 C4 Continuous latent variables I S Estimator MLR Information matrix OBSERVED Maximum number of iterations 1000 Convergence criterion 0.500D-04 Maximum number of steepest descent iterations 20 Input data file(s) Cortisol.dat Input data format FREE UNIVARIATE SAMPLE STATISTICS UNIVARIATE HIGHER-ORDER MOMENT DESCRIPTIVE STATISTICS Variable/ Mean/ Skewness/ Minimum/ % with Percentiles Sample Size Variance Kurtosis Maximum Min/Max 20%/60% 40%/80% Median C1 10.412 1.383 1.205 0.99% 4.540 7.500 9.168 101.000 45.592 2.806 36.490 0.99% 10.490 15.275 C2 10.189 1.502 1.380 0.99% 5.190 6.885 8.637 101.000 36.375 2.786 33.265 0.99% 10.520 14.420 C3 6.393 2.088 1.825 0.99% 3.225 4.150 4.635 101.000 22.701 4.553 27.110 0.99% 5.155 8.620 C4 3.706 2.704 1.370 0.99% 2.170 2.880 3.123 101.000 5.026 9.698 15.955 0.99% 3.335 4.630 THIS ANALYSIS MAY HAVE MULTIPLE SOLUTIONS. EXPLORE THIS USING RANDOM STARTS, FOR EXAMPLE, STARTS = 20. USE A LARGE ENOUGH NUMBER OF STARTS SO THAT THE BEST FIT FUNCTION VALUE IS REPLICATED SEVERAL TIMES. THE MODEL ESTIMATION TERMINATED NORMALLY WARNING: THE RESIDUAL COVARIANCE MATRIX (THETA) IS NOT POSITIVE DEFINITE. THIS COULD INDICATE A NEGATIVE VARIANCE/RESIDUAL VARIANCE FOR AN OBSERVED VARIABLE, A CORRELATION GREATER OR EQUAL TO ONE BETWEEN TWO OBSERVED VARIABLES, OR A LINEAR DEPENDENCY AMONG MORE THAN TWO OBSERVED VARIABLES. CHECK THE RESULTS SECTION FOR MORE INFORMATION. PROBLEM INVOLVING VARIABLE C4. MODEL FIT INFORMATION Number of Free Parameters 11 Loglikelihood H0 Value -1165.692 H0 Scaling Correction Factor 1.9556 for MLR H1 Value -1161.416 H1 Scaling Correction Factor 1.7889 for MLR Information Criteria Akaike (AIC) 2353.385 Bayesian (BIC) 2382.151 Sample-Size Adjusted BIC 2347.408 (n* = (n + 2) / 24) Chi-Square Test of Model Fit Value 7.261* Degrees of Freedom 3 P-Value 0.0640 Scaling Correction Factor 1.1779 for MLR * The chi-square value for MLM, MLMV, MLR, ULSMV, WLSM and WLSMV cannot be used for chi-square difference testing in the regular way. MLM, MLR and WLSM chi-square difference testing is described on the Mplus website. MLMV, WLSMV, and ULSMV difference testing is done using the DIFFTEST option. RMSEA (Root Mean Square Error Of Approximation) Estimate 0.119 90 Percent C.I. 0.000 0.232 Probability RMSEA <= .05 0.120 CFI/TLI CFI 0.884 TLI 0.769 Chi-Square Test of Model Fit for the Baseline Model Value 42.868 Degrees of Freedom 6 P-Value 0.0000 SRMR (Standardized Root Mean Square Residual) Value 0.088 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value I BY C1 1.000 0.000 999.000 999.000 C2 1.000 0.000 999.000 999.000 C3 1.000 0.000 999.000 999.000 C4 1.000 0.000 999.000 999.000 S BY C1 0.000 0.000 999.000 999.000 C2 1.000 0.000 999.000 999.000 C3 2.000 0.000 999.000 999.000 C4 3.000 0.000 999.000 999.000 I WITH S -9.804 3.124 -3.139 0.002 Intercepts C1 10.412 0.672 15.497 0.000 C2 10.189 0.600 16.979 0.000 C3 6.393 0.474 13.486 0.000 C4 3.706 0.223 16.611 0.000 Variances I 27.910 9.393 2.971 0.003 S 4.065 1.099 3.699 0.000 Residual Variances C1 17.438 6.926 2.518 0.012 C2 21.018 5.238 4.012 0.000 C3 20.779 5.915 3.513 0.000 C4 -0.650 1.551 -0.419 0.675 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.143E-03 (ratio of smallest to largest eigenvalue) DIAGRAM INFORMATION Use View Diagram under the Diagram menu in the Mplus Editor to view the diagram. If running Mplus from the Mplus Diagrammer, the diagram opens automatically. Diagram output c:\project\mpluslivre\stx\chapitres\chapitre_07\script7.1.dgm Beginning Time: 17:59:31 Ending Time: 17:59:31 Elapsed Time: 00:00:00 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) 1998-2021 Muthen & Muthen