Mplus VERSION 8.6
MUTHEN & MUTHEN
07/20/2021 6:20 PM
OUTPUT SECTIONS
INPUT INSTRUCTIONS TITLE: 7.12 M4. Modèle linéaire covariables invariantes 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 SEXE TTT CREVEIL ; ANALYSIS: ESTIMATOR = MLR ; STARTS = 20 ; MODEL: i s | C1@0 C2@1 C3@4 C4@9 ; i s ON SEXE TTT CREVEIL ; C4@0 ; !fixer la variance résiduelle à zéro OUTPUT: SAMPSTAT STDYX TECH1 TECH4 ; PLOT: TYPE = PLOT3 ; SERIES = C1 (0) C2 (1) C3 (4) C4 (9) ; INPUT READING TERMINATED NORMALLY 7.12 M4. Modèle linéaire covariables invariantes SUMMARY OF ANALYSIS Number of groups 1 Number of observations 101 Number of dependent variables 4 Number of independent variables 3 Number of continuous latent variables 2 Observed dependent variables Continuous C1 C2 C3 C4 Observed independent variables SEXE TTT CREVEIL 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 Random Starts Specifications Number of random starts 20 Random starts scale 0.500D+01 Input data file(s) Cortisol.dat Input data format FREE SAMPLE STATISTICS SAMPLE STATISTICS Means C1 C2 C3 C4 SEXE ________ ________ ________ ________ ________ 10.412 10.189 6.393 3.706 0.327 Means TTT CREVEIL ________ ________ 0.574 0.505 Covariances C1 C2 C3 C4 SEXE ________ ________ ________ ________ ________ C1 45.592 C2 22.137 36.375 C3 0.437 3.455 22.701 C4 -1.599 0.641 3.507 5.026 SEXE 0.308 0.663 -0.418 -0.222 0.220 TTT -0.064 -0.359 0.044 0.088 -0.049 CREVEIL -0.936 -0.075 0.158 0.205 -0.007 Covariances TTT CREVEIL ________ ________ TTT 0.244 CREVEIL -0.003 0.250 Correlations C1 C2 C3 C4 SEXE ________ ________ ________ ________ ________ C1 1.000 C2 0.544 1.000 C3 0.014 0.120 1.000 C4 -0.106 0.047 0.328 1.000 SEXE 0.097 0.234 -0.187 -0.211 1.000 TTT -0.019 -0.120 0.019 0.080 -0.211 CREVEIL -0.277 -0.025 0.066 0.183 -0.028 Correlations TTT CREVEIL ________ ________ TTT 1.000 CREVEIL -0.011 1.000 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 SEXE 0.327 0.739 0.000 67.33% 0.000 0.000 0.000 101.000 0.220 -1.454 1.000 32.67% 0.000 1.000 TTT 0.574 -0.300 0.000 42.57% 0.000 0.000 1.000 101.000 0.244 -1.910 1.000 57.43% 1.000 1.000 CREVEIL 0.505 -0.020 0.000 49.50% 0.000 0.000 1.000 101.000 0.250 -2.000 1.000 50.50% 1.000 1.000 RANDOM STARTS RESULTS RANKED FROM THE BEST TO THE WORST FIT FUNCTION VALUES Fit function values at local maxima and random start numbers: 39.5078 4 39.5078 9 39.5078 6 39.5078 15 39.5078 13 39.5078 3 39.5078 10 39.5078 5 39.5078 unperturbed 39.5078 17 39.5078 2 39.5078 12 39.5078 11 39.5078 20 39.5078 7 39.5078 14 39.5078 8 39.5078 16 39.5078 18 39.5078 19 39.5078 1 MODEL FIT INFORMATION Number of Free Parameters 14 Loglikelihood H0 Value -1167.103 H0 Scaling Correction Factor 1.5972 for MLR H1 Value -1147.349 H1 Scaling Correction Factor 1.3795 for MLR Information Criteria Akaike (AIC) 2362.205 Bayesian (BIC) 2398.817 Sample-Size Adjusted BIC 2354.599 (n* = (n + 2) / 24) Chi-Square Test of Model Fit Value 35.098* Degrees of Freedom 12 P-Value 0.0005 Scaling Correction Factor 1.1256 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 0.138 90 Percent C.I. 0.086 0.192 Probability RMSEA <= .05 0.005 CFI/TLI CFI 0.623 TLI 0.434 Chi-Square Test of Model Fit for the Baseline Model Value 79.264 Degrees of Freedom 18 P-Value 0.0000 SRMR (Standardized Root Mean Square Residual) Value 0.116 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value I | 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 | C1 0.000 0.000 999.000 999.000 C2 1.000 0.000 999.000 999.000 C3 4.000 0.000 999.000 999.000 C4 9.000 0.000 999.000 999.000 I ON SEXE 1.542 1.070 1.441 0.150 TTT -0.539 0.952 -0.566 0.571 CREVEIL -1.685 1.118 -1.507 0.132 S ON SEXE -0.276 0.120 -2.299 0.021 TTT 0.080 0.115 0.698 0.485 CREVEIL 0.276 0.132 2.087 0.037 S WITH I -1.759 0.659 -2.669 0.008 Intercepts C1 0.000 0.000 999.000 999.000 C2 0.000 0.000 999.000 999.000 C3 0.000 0.000 999.000 999.000 C4 0.000 0.000 999.000 999.000 I 11.045 1.000 11.044 0.000 S -0.837 0.118 -7.116 0.000 Residual Variances C1 24.762 7.511 3.297 0.001 C2 19.694 6.421 3.067 0.002 C3 22.366 6.016 3.718 0.000 C4 0.000 0.000 999.000 999.000 I 16.255 5.962 2.726 0.006 S 0.247 0.075 3.296 0.001 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.398E-04 (ratio of smallest to largest eigenvalue) STANDARDIZED MODEL RESULTS STDYX Standardization Two-Tailed Estimate S.E. Est./S.E. P-Value I | C1 0.645 0.104 6.194 0.000 C2 0.725 0.124 5.831 0.000 C3 0.785 0.103 7.597 0.000 C4 1.875 0.495 3.789 0.000 S | C1 0.000 0.000 999.000 999.000 C2 0.092 0.014 6.661 0.000 C3 0.401 0.042 9.615 0.000 C4 2.154 0.436 4.936 0.000 I ON SEXE 0.172 0.110 1.558 0.119 TTT -0.063 0.111 -0.570 0.569 CREVEIL -0.200 0.115 -1.747 0.081 S ON SEXE -0.241 0.096 -2.519 0.012 TTT 0.074 0.106 0.695 0.487 CREVEIL 0.257 0.103 2.495 0.013 S WITH I -0.877 0.053 -16.632 0.000 Intercepts C1 0.000 0.000 999.000 999.000 C2 0.000 0.000 999.000 999.000 C3 0.000 0.000 999.000 999.000 C4 0.000 0.000 999.000 999.000 I 2.628 0.433 6.071 0.000 S -1.561 0.250 -6.244 0.000 Residual Variances C1 0.584 0.134 4.340 0.000 C2 0.585 0.141 4.137 0.000 C3 0.780 0.051 15.225 0.000 C4 0.000 999.000 999.000 999.000 I 0.920 0.068 13.562 0.000 S 0.860 0.082 10.525 0.000 R-SQUARE Observed Two-Tailed Variable Estimate S.E. Est./S.E. P-Value C1 0.416 0.134 3.097 0.002 C2 0.415 0.141 2.933 0.003 C3 0.220 0.051 4.284 0.000 C4 1.000 999.000 999.000 999.000 Latent Two-Tailed Variable Estimate S.E. Est./S.E. P-Value I 0.080 0.068 1.180 0.238 S 0.140 0.082 1.717 0.086 TECHNICAL 1 OUTPUT PARAMETER SPECIFICATION NU C1 C2 C3 C4 SEXE ________ ________ ________ ________ ________ 0 0 0 0 0 NU TTT CREVEIL ________ ________ 0 0 LAMBDA I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ C1 0 0 0 0 0 C2 0 0 0 0 0 C3 0 0 0 0 0 C4 0 0 0 0 0 SEXE 0 0 0 0 0 TTT 0 0 0 0 0 CREVEIL 0 0 0 0 0 THETA C1 C2 C3 C4 SEXE ________ ________ ________ ________ ________ C1 1 C2 0 2 C3 0 0 3 C4 0 0 0 0 SEXE 0 0 0 0 0 TTT 0 0 0 0 0 CREVEIL 0 0 0 0 0 THETA TTT CREVEIL ________ ________ TTT 0 CREVEIL 0 0 ALPHA I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ 4 5 0 0 0 BETA I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ I 0 0 6 7 8 S 0 0 9 10 11 SEXE 0 0 0 0 0 TTT 0 0 0 0 0 CREVEIL 0 0 0 0 0 PSI I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ I 12 S 13 14 SEXE 0 0 0 TTT 0 0 0 0 CREVEIL 0 0 0 0 0 STARTING VALUES NU C1 C2 C3 C4 SEXE ________ ________ ________ ________ ________ 0.000 0.000 0.000 0.000 0.000 NU TTT CREVEIL ________ ________ 0.000 0.000 LAMBDA I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ C1 1.000 0.000 0.000 0.000 0.000 C2 1.000 1.000 0.000 0.000 0.000 C3 1.000 4.000 0.000 0.000 0.000 C4 1.000 9.000 0.000 0.000 0.000 SEXE 0.000 0.000 1.000 0.000 0.000 TTT 0.000 0.000 0.000 1.000 0.000 CREVEIL 0.000 0.000 0.000 0.000 1.000 THETA C1 C2 C3 C4 SEXE ________ ________ ________ ________ ________ C1 22.796 C2 0.000 18.188 C3 0.000 0.000 11.350 C4 0.000 0.000 0.000 0.000 SEXE 0.000 0.000 0.000 0.000 0.000 TTT 0.000 0.000 0.000 0.000 0.000 CREVEIL 0.000 0.000 0.000 0.000 0.000 THETA TTT CREVEIL ________ ________ TTT 0.000 CREVEIL 0.000 0.000 ALPHA I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ 10.413 -0.782 0.327 0.574 0.505 BETA I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ I 0.000 0.000 0.000 0.000 0.000 S 0.000 0.000 0.000 0.000 0.000 SEXE 0.000 0.000 0.000 0.000 0.000 TTT 0.000 0.000 0.000 0.000 0.000 CREVEIL 0.000 0.000 0.000 0.000 0.000 PSI I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ I 29.375 S 0.000 0.576 SEXE 0.000 0.000 0.220 TTT 0.000 0.000 -0.049 0.244 CREVEIL 0.000 0.000 -0.007 -0.003 0.250 TECHNICAL 4 OUTPUT ESTIMATES DERIVED FROM THE MODEL ESTIMATED MEANS FOR THE LATENT VARIABLES I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ 10.389 -0.743 0.327 0.574 0.505 S.E. FOR ESTIMATED MEANS FOR THE LATENT VARIABLES I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ 0.546 0.066 0.047 0.049 0.050 EST./S.E. FOR ESTIMATED MEANS FOR THE LATENT VARIABLES I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ 19.023 -11.203 7.001 11.672 10.150 TWO-TAILED P-VALUE FOR ESTIMATED MEANS FOR THE LATENT VARIABLES I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ 0.000 0.000 0.000 0.000 0.000 ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ I 17.668 S -1.998 0.288 SEXE 0.377 -0.066 0.220 TTT -0.203 0.032 -0.049 0.244 CREVEIL -0.430 0.070 -0.007 -0.003 0.250 S.E. FOR ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ I 6.788 S 0.768 0.090 SEXE 0.260 0.030 0.016 TTT 0.261 0.031 0.023 0.007 CREVEIL 0.284 0.034 0.023 0.025 0.000 EST./S.E. FOR ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ I 2.603 S -2.602 3.189 SEXE 1.446 -2.241 13.602 TTT -0.776 1.027 -2.122 33.459 CREVEIL -1.516 2.077 -0.282 -0.116 507.494 TWO-TAILED P-VALUE FOR ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ I 0.009 S 0.009 0.001 SEXE 0.148 0.025 0.000 TTT 0.438 0.304 0.034 0.000 CREVEIL 0.130 0.038 0.778 0.908 0.000 ESTIMATED CORRELATION MATRIX FOR THE LATENT VARIABLES I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ I 1.000 S -0.886 1.000 SEXE 0.191 -0.264 1.000 TTT -0.097 0.122 -0.211 1.000 CREVEIL -0.204 0.263 -0.028 -0.011 1.000 S.E. FOR ESTIMATED CORRELATION MATRIX FOR THE LATENT VARIABLES I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ I 0.000 S 0.049 0.000 SEXE 0.121 0.106 0.000 TTT 0.124 0.118 0.099 0.000 CREVEIL 0.116 0.106 0.099 0.099 0.000 EST./S.E. FOR ESTIMATED CORRELATION MATRIX FOR THE LATENT VARIABLES I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ I 999.000 S -17.972 999.000 SEXE 1.574 -2.481 999.000 TTT -0.788 1.031 -2.143 999.000 CREVEIL -1.761 2.484 -0.282 -0.116 999.000 TWO-TAILED P-VALUE FOR ESTIMATED CORRELATION MATRIX FOR THE LATENT VARIABLES I S SEXE TTT CREVEIL ________ ________ ________ ________ ________ I 0.000 S 0.000 0.000 SEXE 0.115 0.013 0.000 TTT 0.431 0.303 0.032 0.000 CREVEIL 0.078 0.013 0.778 0.908 0.000 SAMPLE STATISTICS FOR ESTIMATED FACTOR SCORES SAMPLE STATISTICS Means I I_SE S S_SE ________ ________ ________ ________ 10.389 2.532 -0.743 0.281 Covariances I I_SE S S_SE ________ ________ ________ ________ I 11.257 I_SE 0.000 0.000 S -1.285 0.000 0.209 S_SE 0.000 0.000 0.000 0.000 Correlations I I_SE S S_SE ________ ________ ________ ________ I 1.000 I_SE 999.000 1.000 S -0.839 999.000 1.000 S_SE 999.000 999.000 999.000 1.000 PLOT INFORMATION The following plots are available: Histograms (sample values, estimated factor scores, estimated values, residuals) Scatterplots (sample values, estimated factor scores, estimated values, residuals) Sample means Estimated means Sample and estimated means Adjusted estimated means Latent variable distribution plots Observed individual values Estimated individual values 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\script7.12.dgm Beginning Time: 18:20:02 Ending Time: 18:20:02 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