Mplus VERSION 8.6
MUTHEN & MUTHEN
07/20/2021 4:48 PM
OUTPUT SECTIONS
INPUT INSTRUCTIONS TITLE: MESE EMIA DATA: FILE IS toutes_donnees_SM_1_interet.dat; LISTWISE=ON; VARIABLE: NAMES ARE fr1-fr5 G1-G5 M1-M5; MISSING = ALL (999); USEVARIABLES ARE fr1-fr5 G1-G5 M1-M5; ANALYSIS: ESTIMATOR=ML; MODEL: FR GEN MATH by fr1-fr5 G1-G5 M1-M5 (*1); OUTPUT: MODINDICES; STANDARDIZED; INPUT READING TERMINATED NORMALLY MESE EMIA SUMMARY OF ANALYSIS Number of groups 1 Number of observations 1192 Number of dependent variables 15 Number of independent variables 0 Number of continuous latent variables 3 Observed dependent variables Continuous FR1 FR2 FR3 FR4 FR5 G1 G2 G3 G4 G5 M1 M2 M3 M4 M5 Continuous latent variables EFA factors *1: FR GEN MATH Estimator ML Rotation GEOMIN Row standardization CORRELATION Type of rotation OBLIQUE Epsilon value Varies Information matrix OBSERVED Maximum number of iterations 1000 Convergence criterion 0.500D-04 Maximum number of steepest descent iterations 20 Optimization Specifications for the Exploratory Factor Analysis Rotation Algorithm Number of random starts 30 Maximum number of iterations 10000 Derivative convergence criterion 0.100D-04 Input data file(s) toutes_donnees_SM_1_interet.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 FR1 3.695 0.107 1.000 12.00% 2.000 3.000 4.000 1192.000 2.893 -0.848 7.000 6.04% 4.000 5.000 FR2 2.939 0.683 1.000 24.83% 1.000 2.000 3.000 1192.000 2.879 -0.343 7.000 4.78% 3.000 4.000 FR3 3.265 0.391 1.000 19.13% 2.000 3.000 3.000 1192.000 2.976 -0.750 7.000 4.87% 4.000 5.000 FR4 3.333 0.375 1.000 20.47% 1.000 3.000 3.000 1192.000 3.327 -0.886 7.486 0.08% 4.000 5.000 FR5 3.687 0.135 1.000 16.78% 2.000 3.000 4.000 1192.000 3.557 -1.072 7.000 9.23% 4.000 5.000 G1 4.123 -0.152 1.000 7.97% 2.000 4.000 4.000 1192.000 2.838 -0.776 7.000 8.81% 5.000 6.000 G2 3.557 0.271 1.000 15.35% 2.000 3.000 4.000 1192.000 3.234 -0.863 7.000 8.31% 4.000 5.000 G3 4.516 -0.395 1.000 7.05% 3.000 4.000 5.000 1192.000 2.990 -0.658 7.000 14.43% 5.000 6.000 G4 4.160 -0.141 1.000 7.47% 3.000 4.000 4.000 1192.000 2.829 -0.781 7.000 9.06% 5.000 6.000 G5 3.794 0.024 0.000 0.08% 2.000 3.000 4.000 1192.000 3.155 -0.902 7.000 7.80% 4.000 5.000 M1 4.060 -0.088 1.000 15.69% 2.000 3.000 4.000 1192.000 4.089 -1.242 7.000 15.02% 5.000 6.000 M2 3.657 0.191 1.000 16.02% 2.000 3.000 4.000 1192.000 3.572 -1.073 7.000 9.56% 4.000 5.000 M3 3.988 -0.037 1.000 15.18% 2.000 3.000 4.000 1192.000 3.932 -1.197 7.000 13.84% 5.000 6.000 M4 4.218 -0.142 1.000 11.33% 2.000 4.000 4.000 1192.000 3.839 -1.176 7.000 16.19% 5.000 6.000 M5 3.648 0.202 1.000 21.22% 1.000 3.000 4.000 1192.000 4.201 -1.236 7.000 12.58% 4.000 6.000 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 72 Loglikelihood H0 Value -28530.413 H1 Value -28351.695 Information Criteria Akaike (AIC) 57204.825 Bayesian (BIC) 57570.829 Sample-Size Adjusted BIC 57342.130 (n* = (n + 2) / 24) Chi-Square Test of Model Fit Value 357.434 Degrees of Freedom 63 P-Value 0.0000 RMSEA (Root Mean Square Error Of Approximation) Estimate 0.063 90 Percent C.I. 0.056 0.069 Probability RMSEA <= .05 0.001 CFI/TLI CFI 0.981 TLI 0.968 Chi-Square Test of Model Fit for the Baseline Model Value 15510.150 Degrees of Freedom 105 P-Value 0.0000 SRMR (Standardized Root Mean Square Residual) Value 0.014 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value FR BY FR1 1.480 0.043 34.270 0.000 FR2 1.489 0.047 31.549 0.000 FR3 1.504 0.046 32.591 0.000 FR4 1.697 0.044 38.587 0.000 FR5 1.379 0.055 25.248 0.000 G1 0.153 0.056 2.714 0.007 G2 0.111 0.064 1.727 0.084 G3 -0.057 0.056 -1.024 0.306 G4 0.029 0.049 0.590 0.555 G5 0.008 0.021 0.397 0.691 M1 0.037 0.034 1.088 0.276 M2 -0.016 0.032 -0.497 0.619 M3 -0.023 0.041 -0.557 0.578 M4 -0.012 0.038 -0.313 0.754 M5 0.014 0.035 0.396 0.692 GEN BY FR1 0.005 0.030 0.164 0.870 FR2 -0.066 0.042 -1.571 0.116 FR3 0.079 0.046 1.735 0.083 FR4 0.002 0.029 0.060 0.952 FR5 0.331 0.058 5.751 0.000 G1 1.228 0.059 20.714 0.000 G2 0.965 0.075 12.874 0.000 G3 1.470 0.063 23.395 0.000 G4 1.436 0.054 26.830 0.000 G5 1.218 0.058 21.024 0.000 M1 -0.199 0.059 -3.406 0.001 M2 0.300 0.061 4.878 0.000 M3 0.198 0.068 2.913 0.004 M4 0.212 0.068 3.123 0.002 M5 -0.005 0.013 -0.409 0.683 MATH BY FR1 -0.017 0.025 -0.682 0.495 FR2 0.132 0.033 3.969 0.000 FR3 0.045 0.029 1.556 0.120 FR4 0.002 0.020 0.085 0.932 FR5 -0.144 0.042 -3.443 0.001 G1 0.044 0.038 1.170 0.242 G2 0.200 0.058 3.438 0.001 G3 -0.114 0.052 -2.178 0.029 G4 -0.003 0.024 -0.132 0.895 G5 0.277 0.055 5.019 0.000 M1 1.935 0.056 34.382 0.000 M2 1.463 0.052 28.081 0.000 M3 1.540 0.057 26.962 0.000 M4 1.510 0.056 26.776 0.000 M5 1.930 0.046 42.038 0.000 GEN WITH FR 0.615 0.027 22.951 0.000 MATH WITH FR 0.181 0.034 5.399 0.000 GEN 0.519 0.032 16.266 0.000 Intercepts FR1 3.695 0.049 74.991 0.000 FR2 2.939 0.049 59.803 0.000 FR3 3.265 0.050 65.339 0.000 FR4 3.333 0.053 63.095 0.000 FR5 3.687 0.055 67.489 0.000 G1 4.123 0.049 84.487 0.000 G2 3.557 0.052 68.287 0.000 G3 4.516 0.050 90.183 0.000 G4 4.160 0.049 85.397 0.000 G5 3.794 0.051 73.752 0.000 M1 4.060 0.059 69.328 0.000 M2 3.657 0.055 66.808 0.000 M3 3.988 0.057 69.438 0.000 M4 4.218 0.057 74.318 0.000 M5 3.648 0.059 61.456 0.000 Variances FR 1.000 0.000 999.000 999.000 GEN 1.000 0.000 999.000 999.000 MATH 1.000 0.000 999.000 999.000 Residual Variances FR1 0.702 0.035 20.021 0.000 FR2 0.699 0.035 19.881 0.000 FR3 0.531 0.028 18.633 0.000 FR4 0.443 0.029 15.517 0.000 FR5 1.085 0.050 21.837 0.000 G1 1.014 0.051 19.696 0.000 G2 1.911 0.083 22.934 0.000 G3 1.089 0.060 18.065 0.000 G4 0.719 0.046 15.537 0.000 G5 1.232 0.060 20.672 0.000 M1 0.688 0.041 16.845 0.000 M2 0.902 0.043 21.008 0.000 M3 1.223 0.056 21.831 0.000 M4 1.191 0.054 21.859 0.000 M5 0.477 0.034 14.115 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.884E-02 (ratio of smallest to largest eigenvalue) STANDARDIZED MODEL RESULTS STDYX Standardization Two-Tailed Estimate S.E. Est./S.E. P-Value FR BY FR1 0.870 0.013 66.013 0.000 FR2 0.877 0.017 50.780 0.000 FR3 0.872 0.017 51.611 0.000 FR4 0.930 0.011 84.073 0.000 FR5 0.731 0.022 33.244 0.000 G1 0.091 0.033 2.718 0.007 G2 0.062 0.036 1.729 0.084 G3 -0.033 0.032 -1.024 0.306 G4 0.017 0.029 0.590 0.555 G5 0.005 0.012 0.397 0.691 M1 0.018 0.017 1.088 0.276 M2 -0.009 0.017 -0.497 0.619 M3 -0.011 0.021 -0.557 0.578 M4 -0.006 0.020 -0.313 0.754 M5 0.007 0.017 0.396 0.692 GEN BY FR1 0.003 0.018 0.164 0.870 FR2 -0.039 0.025 -1.571 0.116 FR3 0.046 0.027 1.735 0.083 FR4 0.001 0.016 0.060 0.952 FR5 0.176 0.030 5.788 0.000 G1 0.729 0.029 24.894 0.000 G2 0.536 0.038 13.976 0.000 G3 0.850 0.028 29.981 0.000 G4 0.854 0.024 36.288 0.000 G5 0.686 0.027 25.579 0.000 M1 -0.099 0.029 -3.406 0.001 M2 0.159 0.032 4.895 0.000 M3 0.100 0.034 2.917 0.004 M4 0.108 0.035 3.129 0.002 M5 -0.003 0.006 -0.409 0.683 MATH BY FR1 -0.010 0.014 -0.682 0.495 FR2 0.078 0.020 3.972 0.000 FR3 0.026 0.017 1.556 0.120 FR4 0.001 0.011 0.085 0.932 FR5 -0.076 0.022 -3.444 0.001 G1 0.026 0.022 1.171 0.242 G2 0.111 0.032 3.452 0.001 G3 -0.066 0.030 -2.179 0.029 G4 -0.002 0.015 -0.132 0.895 G5 0.156 0.031 5.050 0.000 M1 0.957 0.016 58.672 0.000 M2 0.774 0.020 39.146 0.000 M3 0.777 0.021 37.765 0.000 M4 0.771 0.021 37.203 0.000 M5 0.942 0.007 137.665 0.000 GEN WITH FR 0.615 0.027 22.951 0.000 MATH WITH FR 0.181 0.034 5.399 0.000 GEN 0.519 0.032 16.266 0.000 Intercepts FR1 2.172 0.053 40.918 0.000 FR2 1.732 0.046 37.821 0.000 FR3 1.893 0.048 39.112 0.000 FR4 1.827 0.047 38.614 0.000 FR5 1.955 0.049 39.559 0.000 G1 2.447 0.058 42.274 0.000 G2 1.978 0.050 39.718 0.000 G3 2.612 0.061 42.937 0.000 G4 2.473 0.058 42.387 0.000 G5 2.136 0.052 40.712 0.000 M1 2.008 0.050 39.919 0.000 M2 1.935 0.049 39.420 0.000 M3 2.011 0.050 39.940 0.000 M4 2.153 0.053 40.807 0.000 M5 1.780 0.047 38.229 0.000 Variances FR 1.000 0.000 999.000 999.000 GEN 1.000 0.000 999.000 999.000 MATH 1.000 0.000 999.000 999.000 Residual Variances FR1 0.243 0.014 17.255 0.000 FR2 0.243 0.014 17.168 0.000 FR3 0.178 0.011 15.891 0.000 FR4 0.133 0.010 13.629 0.000 FR5 0.305 0.016 19.065 0.000 G1 0.357 0.020 18.087 0.000 G2 0.591 0.024 25.026 0.000 G3 0.364 0.022 16.854 0.000 G4 0.254 0.018 14.188 0.000 G5 0.390 0.020 19.216 0.000 M1 0.168 0.011 14.685 0.000 M2 0.253 0.014 17.971 0.000 M3 0.311 0.016 19.130 0.000 M4 0.310 0.016 19.139 0.000 M5 0.113 0.009 12.582 0.000 STDY Standardization Two-Tailed Estimate S.E. Est./S.E. P-Value FR BY FR1 0.870 0.013 66.013 0.000 FR2 0.877 0.017 50.780 0.000 FR3 0.872 0.017 51.611 0.000 FR4 0.930 0.011 84.073 0.000 FR5 0.731 0.022 33.244 0.000 G1 0.091 0.033 2.718 0.007 G2 0.062 0.036 1.729 0.084 G3 -0.033 0.032 -1.024 0.306 G4 0.017 0.029 0.590 0.555 G5 0.005 0.012 0.397 0.691 M1 0.018 0.017 1.088 0.276 M2 -0.009 0.017 -0.497 0.619 M3 -0.011 0.021 -0.557 0.578 M4 -0.006 0.020 -0.313 0.754 M5 0.007 0.017 0.396 0.692 GEN BY FR1 0.003 0.018 0.164 0.870 FR2 -0.039 0.025 -1.571 0.116 FR3 0.046 0.027 1.735 0.083 FR4 0.001 0.016 0.060 0.952 FR5 0.176 0.030 5.788 0.000 G1 0.729 0.029 24.894 0.000 G2 0.536 0.038 13.976 0.000 G3 0.850 0.028 29.981 0.000 G4 0.854 0.024 36.288 0.000 G5 0.686 0.027 25.579 0.000 M1 -0.099 0.029 -3.406 0.001 M2 0.159 0.032 4.895 0.000 M3 0.100 0.034 2.917 0.004 M4 0.108 0.035 3.129 0.002 M5 -0.003 0.006 -0.409 0.683 MATH BY FR1 -0.010 0.014 -0.682 0.495 FR2 0.078 0.020 3.972 0.000 FR3 0.026 0.017 1.556 0.120 FR4 0.001 0.011 0.085 0.932 FR5 -0.076 0.022 -3.444 0.001 G1 0.026 0.022 1.171 0.242 G2 0.111 0.032 3.452 0.001 G3 -0.066 0.030 -2.179 0.029 G4 -0.002 0.015 -0.132 0.895 G5 0.156 0.031 5.050 0.000 M1 0.957 0.016 58.672 0.000 M2 0.774 0.020 39.146 0.000 M3 0.777 0.021 37.765 0.000 M4 0.771 0.021 37.203 0.000 M5 0.942 0.007 137.665 0.000 GEN WITH FR 0.615 0.027 22.951 0.000 MATH WITH FR 0.181 0.034 5.399 0.000 GEN 0.519 0.032 16.266 0.000 Intercepts FR1 2.172 0.053 40.918 0.000 FR2 1.732 0.046 37.821 0.000 FR3 1.893 0.048 39.112 0.000 FR4 1.827 0.047 38.614 0.000 FR5 1.955 0.049 39.559 0.000 G1 2.447 0.058 42.274 0.000 G2 1.978 0.050 39.718 0.000 G3 2.612 0.061 42.937 0.000 G4 2.473 0.058 42.387 0.000 G5 2.136 0.052 40.712 0.000 M1 2.008 0.050 39.919 0.000 M2 1.935 0.049 39.420 0.000 M3 2.011 0.050 39.940 0.000 M4 2.153 0.053 40.807 0.000 M5 1.780 0.047 38.229 0.000 Variances FR 1.000 0.000 999.000 999.000 GEN 1.000 0.000 999.000 999.000 MATH 1.000 0.000 999.000 999.000 Residual Variances FR1 0.243 0.014 17.255 0.000 FR2 0.243 0.014 17.168 0.000 FR3 0.178 0.011 15.891 0.000 FR4 0.133 0.010 13.629 0.000 FR5 0.305 0.016 19.065 0.000 G1 0.357 0.020 18.087 0.000 G2 0.591 0.024 25.026 0.000 G3 0.364 0.022 16.854 0.000 G4 0.254 0.018 14.188 0.000 G5 0.390 0.020 19.216 0.000 M1 0.168 0.011 14.685 0.000 M2 0.253 0.014 17.971 0.000 M3 0.311 0.016 19.130 0.000 M4 0.310 0.016 19.139 0.000 M5 0.113 0.009 12.582 0.000 STD Standardization Two-Tailed Estimate S.E. Est./S.E. P-Value FR BY FR1 1.480 0.043 34.270 0.000 FR2 1.489 0.047 31.549 0.000 FR3 1.504 0.046 32.591 0.000 FR4 1.697 0.044 38.587 0.000 FR5 1.379 0.055 25.248 0.000 G1 0.153 0.056 2.714 0.007 G2 0.111 0.064 1.727 0.084 G3 -0.057 0.056 -1.024 0.306 G4 0.029 0.049 0.590 0.555 G5 0.008 0.021 0.397 0.691 M1 0.037 0.034 1.088 0.276 M2 -0.016 0.032 -0.497 0.619 M3 -0.023 0.041 -0.557 0.578 M4 -0.012 0.038 -0.313 0.754 M5 0.014 0.035 0.396 0.692 GEN BY FR1 0.005 0.030 0.164 0.870 FR2 -0.066 0.042 -1.571 0.116 FR3 0.079 0.046 1.735 0.083 FR4 0.002 0.029 0.060 0.952 FR5 0.331 0.058 5.751 0.000 G1 1.228 0.059 20.714 0.000 G2 0.965 0.075 12.874 0.000 G3 1.470 0.063 23.395 0.000 G4 1.436 0.054 26.830 0.000 G5 1.218 0.058 21.024 0.000 M1 -0.199 0.059 -3.406 0.001 M2 0.300 0.061 4.878 0.000 M3 0.198 0.068 2.913 0.004 M4 0.212 0.068 3.123 0.002 M5 -0.005 0.013 -0.409 0.683 MATH BY FR1 -0.017 0.025 -0.682 0.495 FR2 0.132 0.033 3.969 0.000 FR3 0.045 0.029 1.556 0.120 FR4 0.002 0.020 0.085 0.932 FR5 -0.144 0.042 -3.443 0.001 G1 0.044 0.038 1.170 0.242 G2 0.200 0.058 3.438 0.001 G3 -0.114 0.052 -2.178 0.029 G4 -0.003 0.024 -0.132 0.895 G5 0.277 0.055 5.019 0.000 M1 1.935 0.056 34.382 0.000 M2 1.463 0.052 28.081 0.000 M3 1.540 0.057 26.962 0.000 M4 1.510 0.056 26.776 0.000 M5 1.930 0.046 42.038 0.000 GEN WITH FR 0.615 0.027 22.951 0.000 MATH WITH FR 0.181 0.034 5.399 0.000 GEN 0.519 0.032 16.266 0.000 Intercepts FR1 3.695 0.049 74.991 0.000 FR2 2.939 0.049 59.803 0.000 FR3 3.265 0.050 65.339 0.000 FR4 3.333 0.053 63.095 0.000 FR5 3.687 0.055 67.489 0.000 G1 4.123 0.049 84.487 0.000 G2 3.557 0.052 68.287 0.000 G3 4.516 0.050 90.183 0.000 G4 4.160 0.049 85.397 0.000 G5 3.794 0.051 73.752 0.000 M1 4.060 0.059 69.328 0.000 M2 3.657 0.055 66.808 0.000 M3 3.988 0.057 69.438 0.000 M4 4.218 0.057 74.318 0.000 M5 3.648 0.059 61.456 0.000 Variances FR 1.000 0.000 999.000 999.000 GEN 1.000 0.000 999.000 999.000 MATH 1.000 0.000 999.000 999.000 Residual Variances FR1 0.702 0.035 20.021 0.000 FR2 0.699 0.035 19.881 0.000 FR3 0.531 0.028 18.633 0.000 FR4 0.443 0.029 15.517 0.000 FR5 1.085 0.050 21.837 0.000 G1 1.014 0.051 19.696 0.000 G2 1.911 0.083 22.934 0.000 G3 1.089 0.060 18.065 0.000 G4 0.719 0.046 15.537 0.000 G5 1.232 0.060 20.672 0.000 M1 0.688 0.041 16.845 0.000 M2 0.902 0.043 21.008 0.000 M3 1.223 0.056 21.831 0.000 M4 1.191 0.054 21.859 0.000 M5 0.477 0.034 14.115 0.000 R-SQUARE Observed Two-Tailed Variable Estimate S.E. Est./S.E. P-Value FR1 0.757 0.014 53.868 0.000 FR2 0.757 0.014 53.517 0.000 FR3 0.822 0.011 73.254 0.000 FR4 0.867 0.010 88.639 0.000 FR5 0.695 0.016 43.433 0.000 G1 0.643 0.020 32.528 0.000 G2 0.409 0.024 17.334 0.000 G3 0.636 0.022 29.433 0.000 G4 0.746 0.018 41.638 0.000 G5 0.610 0.020 30.013 0.000 M1 0.832 0.011 72.546 0.000 M2 0.747 0.014 53.201 0.000 M3 0.689 0.016 42.383 0.000 M4 0.690 0.016 42.563 0.000 M5 0.887 0.009 98.323 0.000 MODEL MODIFICATION INDICES NOTE: Modification indices for direct effects of observed dependent variables regressed on covariates may not be included. To include these, request MODINDICES (ALL). Minimum M.I. value for printing the modification index 10.000 M.I. E.P.C. Std E.P.C. StdYX E.P.C. WITH Statements FR2 WITH FR1 27.244 0.140 0.140 0.200 FR3 WITH FR1 11.164 -0.084 -0.084 -0.138 FR5 WITH FR2 20.840 -0.139 -0.139 -0.160 FR5 WITH FR4 10.527 0.095 0.095 0.136 G1 WITH FR1 26.194 0.151 0.151 0.179 G2 WITH FR1 14.097 -0.142 -0.142 -0.123 G3 WITH G1 17.801 0.191 0.191 0.182 G5 WITH FR5 12.285 0.134 0.134 0.116 M1 WITH FR1 24.226 0.129 0.129 0.185 M1 WITH FR3 12.027 -0.082 -0.082 -0.136 M1 WITH G1 44.919 0.214 0.214 0.256 M2 WITH G2 27.866 0.222 0.222 0.169 M3 WITH G2 15.830 -0.192 -0.192 -0.125 M4 WITH FR2 10.435 -0.099 -0.099 -0.108 M4 WITH FR5 42.063 0.238 0.238 0.209 M4 WITH G1 15.989 -0.148 -0.148 -0.135 M4 WITH M1 12.938 -0.132 -0.132 -0.146 M5 WITH M1 12.624 0.150 0.150 0.262 M5 WITH M2 15.015 -0.125 -0.125 -0.190 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_04\script4.2_analyse_esem.dgm Beginning Time: 16:48:59 Ending Time: 16:48:59 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