#Parallel Process Model - IPF Total: Female INPUT INSTRUCTIONS DATA: FILE IS "XX"; VARIABLE: NAMES ARE ID Rom1 Rom2 Rom3 Rom4 Rom5 Fam1 Fam2 Fam3 Fam4 Fam5 Wrk1 Wrk2 Wrk3 Wrk4 Wrk5 Fnd1 Fnd2 Fnd3 Fnd4 Fnd5 Par1 Par2 Par3 Par4 Par5 Slf1 Slf2 Slf3 Slf4 Slf5 Edu1 Edu2 Edu3 Edu4 Edu5 Tot1 Tot2 Tot3 Tot4 Tot5 TSD1 TSD2 TSD3 TSD4 TSD5 PCL1 PCL2 PCL3 PCL4 PCL5 Sex; USEVARIABLES ARE PCL1 PCL2 PCL3 PCL4 PCL5 Tot1 Tot2 Tot3 Tot4 Tot5 TSD1 TSD2 TSD3 TSD4 TSD5; TSCORES = TSD1 TSD2 TSD3 TSD4 TSD5; Missing = ALL (999); ANALYSIS: ESTIMATOR = MLR; TYPE= RANDOM; MODEL: P PS | PCL1 PCL2 PCL3 PCL4 PCL5 at TSD1 TSD2 TSD3 TSD4 TSD5; F FS | Tot1 Tot2 Tot3 Tot4 Tot5 at TSD1 TSD2 TSD3 TSD4 TSD5; P with PS; F with FS; P with F; PS with FS; FS on P; PS on F; SUMMARY OF ANALYSIS Number of groups 1 Number of observations 721 Number of dependent variables 10 Number of independent variables 0 Number of continuous latent variables 4 Observed dependent variables Continuous PCL1 PCL2 PCL3 PCL4 PCL5 TOT1 TOT2 TOT3 TOT4 TOT5 Continuous latent variables P PS F FS Variables with special functions Time scores TSD1 TSD2 TSD3 TSD4 TSD5 Estimator MLR Information matrix OBSERVED Maximum number of iterations 100 Convergence criterion 0.100D-05 Maximum number of EM iterations 500 Convergence criteria for the EM algorithm Loglikelihood change 0.100D-02 Relative loglikelihood change 0.100D-05 Derivative 0.100D-03 Minimum variance 0.100D-03 Maximum number of steepest descent iterations 20 Maximum number of iterations for H1 2000 Convergence criterion for H1 0.100D-03 Optimization algorithm EMA Input data file(s) U:\Mplus\Mplus_Fem_missing_999_entered.csv Input data format FREE SUMMARY OF DATA Number of missing data patterns 80 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage PCL1 PCL2 PCL3 PCL4 PCL5 ________ ________ ________ ________ ________ PCL1 0.545 PCL2 0.423 0.810 PCL3 0.405 0.669 0.782 PCL4 0.372 0.619 0.620 0.717 PCL5 0.304 0.520 0.512 0.509 0.613 TOT1 0.545 0.810 0.779 0.714 0.610 TOT2 0.456 0.810 0.724 0.666 0.559 TOT3 0.449 0.745 0.782 0.685 0.573 TOT4 0.401 0.670 0.671 0.717 0.555 TOT5 0.333 0.562 0.560 0.548 0.613 Covariance Coverage TOT1 TOT2 TOT3 TOT4 TOT5 ________ ________ ________ ________ ________ TOT1 0.997 TOT2 0.874 0.875 TOT3 0.861 0.803 0.864 TOT4 0.778 0.720 0.745 0.781 TOT5 0.664 0.609 0.624 0.599 0.667 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 PCL1 39.649 -0.070 0.000 1.02% 19.000 35.000 40.000 393.000 405.113 -0.900 80.000 2.04% 47.000 58.000 PCL2 38.702 -0.022 0.000 1.54% 20.000 33.000 39.000 584.000 421.035 -0.921 80.000 1.88% 46.000 57.000 PCL3 39.452 -0.057 0.000 1.24% 19.000 34.000 40.000 564.000 440.769 -0.886 80.000 1.42% 47.000 59.000 PCL4 36.122 0.097 0.000 2.13% 16.000 31.000 36.000 517.000 412.266 -0.787 80.000 1.74% 42.000 55.000 PCL5 36.667 0.001 0.000 0.45% 17.000 31.000 36.500 442.000 381.996 -0.897 80.000 0.23% 43.000 56.000 TOT1 40.940 0.062 2.619 0.14% 26.821 37.449 41.362 719.000 239.067 -0.317 85.977 0.14% 45.355 54.018 TOT2 39.713 0.125 2.787 0.16% 25.871 35.168 39.060 631.000 240.114 -0.297 90.508 0.16% 44.048 53.274 TOT3 39.889 0.186 2.904 0.16% 25.216 35.179 39.281 623.000 253.765 -0.410 86.012 0.16% 43.767 54.066 TOT4 39.307 0.245 0.952 0.18% 25.665 34.589 38.467 563.000 248.698 -0.147 86.887 0.18% 41.851 52.282 TOT5 37.965 0.146 1.646 0.21% 24.314 33.380 37.386 481.000 235.152 -0.365 83.532 0.21% 41.657 50.991 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 24 Loglikelihood H0 Value -21486.544 H0 Scaling Correction Factor 1.0416 for MLR Information Criteria Akaike (AIC) 43021.087 Bayesian (BIC) 43131.023 Sample-Size Adjusted BIC 43054.816 (n* = (n + 2) / 24) MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value FS ON P -0.025 0.003 -9.762 0.000 PS ON F -0.078 0.005 -14.680 0.000 P WITH PS -6.948 1.368 -5.077 0.000 F 372.348 31.641 11.768 0.000 F WITH FS -1.279 0.463 -2.762 0.006 PS WITH FS 0.862 0.085 10.132 0.000 Means P 41.493 1.322 31.385 0.000 F 42.874 0.843 50.839 0.000 Intercepts PCL1 0.000 0.000 999.000 999.000 PCL2 0.000 0.000 999.000 999.000 PCL3 0.000 0.000 999.000 999.000 PCL4 0.000 0.000 999.000 999.000 PCL5 0.000 0.000 999.000 999.000 TOT1 0.000 0.000 999.000 999.000 TOT2 0.000 0.000 999.000 999.000 TOT3 0.000 0.000 999.000 999.000 TOT4 0.000 0.000 999.000 999.000 TOT5 0.000 0.000 999.000 999.000 PS 3.080 0.250 12.336 0.000 FS 0.718 0.118 6.077 0.000 Variances P 692.442 48.179 14.372 0.000 F 271.118 22.486 12.057 0.000 Residual Variances PCL1 86.089 13.036 6.604 0.000 PCL2 95.028 9.847 9.650 0.000 PCL3 81.018 8.063 10.048 0.000 PCL4 90.786 8.862 10.245 0.000 PCL5 73.189 10.577 6.920 0.000 TOT1 69.772 6.988 9.985 0.000 TOT2 64.420 4.881 13.199 0.000 TOT3 71.993 5.515 13.053 0.000 TOT4 61.682 6.280 9.822 0.000 TOT5 59.886 5.942 10.079 0.000 PS 1.683 0.141 11.920 0.000 FS 0.678 0.061 11.112 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.766E-07 (ratio of smallest to largest eigenvalue) #Parallel Process Model - IPF Family: Female INPUT INSTRUCTIONS DATA: FILE IS "XX"; VARIABLE: NAMES ARE ID Rom1 Rom2 Rom3 Rom4 Rom5 Fam1 Fam2 Fam3 Fam4 Fam5 Wrk1 Wrk2 Wrk3 Wrk4 Wrk5 Fnd1 Fnd2 Fnd3 Fnd4 Fnd5 Par1 Par2 Par3 Par4 Par5 Slf1 Slf2 Slf3 Slf4 Slf5 Edu1 Edu2 Edu3 Edu4 Edu5 Tot1 Tot2 Tot3 Tot4 Tot5 TSD1 TSD2 TSD3 TSD4 TSD5 PCL1 PCL2 PCL3 PCL4 PCL5 Sex; USEVARIABLES ARE PCL1 PCL2 PCL3 PCL4 PCL5 Fam1 Fam2 Fam3 Fam4 Fam5 TSD1 TSD2 TSD3 TSD4 TSD5; TSCORES = TSD1 TSD2 TSD3 TSD4 TSD5; Missing = ALL (999); ANALYSIS: ESTIMATOR = MLR; TYPE= RANDOM; MODEL: P PS | PCL1 PCL2 PCL3 PCL4 PCL5 at TSD1 TSD2 TSD3 TSD4 TSD5; F FS | Fam1 Fam2 Fam3 Fam4 Fam5 at TSD1 TSD2 TSD3 TSD4 TSD5; P with PS; F with FS; P with F; PS with FS; FS on P; PS on F; SUMMARY OF ANALYSIS Number of groups 1 Number of observations 721 Number of dependent variables 10 Number of independent variables 0 Number of continuous latent variables 4 Observed dependent variables Continuous PCL1 PCL2 PCL3 PCL4 PCL5 FAM1 FAM2 FAM3 FAM4 FAM5 Continuous latent variables P PS F FS Variables with special functions Time scores TSD1 TSD2 TSD3 TSD4 TSD5 Estimator MLR Information matrix OBSERVED Maximum number of iterations 100 Convergence criterion 0.100D-05 Maximum number of EM iterations 500 Convergence criteria for the EM algorithm Loglikelihood change 0.100D-02 Relative loglikelihood change 0.100D-05 Derivative 0.100D-03 Minimum variance 0.100D-03 Maximum number of steepest descent iterations 20 Maximum number of iterations for H1 2000 Convergence criterion for H1 0.100D-03 Optimization algorithm EMA Input data file(s) U:\Mplus\Mplus_Fem_missing_999_entered.csv Input data format FREE SUMMARY OF DATA Number of missing data patterns 161 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage PCL1 PCL2 PCL3 PCL4 PCL5 ________ ________ ________ ________ ________ PCL1 0.545 PCL2 0.423 0.810 PCL3 0.405 0.669 0.782 PCL4 0.372 0.619 0.620 0.717 PCL5 0.304 0.520 0.512 0.509 0.613 FAM1 0.517 0.774 0.739 0.677 0.581 FAM2 0.423 0.750 0.669 0.612 0.524 FAM3 0.408 0.680 0.712 0.616 0.527 FAM4 0.370 0.619 0.619 0.660 0.515 FAM5 0.313 0.521 0.521 0.508 0.574 Covariance Coverage FAM1 FAM2 FAM3 FAM4 FAM5 ________ ________ ________ ________ ________ FAM1 0.945 FAM2 0.781 0.806 FAM3 0.764 0.700 0.789 FAM4 0.702 0.631 0.646 0.723 FAM5 0.596 0.535 0.542 0.530 0.620 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 PCL1 39.649 -0.070 0.000 1.02% 19.000 35.000 40.000 393.000 405.113 -0.900 80.000 2.04% 47.000 58.000 PCL2 38.702 -0.022 0.000 1.54% 20.000 33.000 39.000 584.000 421.035 -0.921 80.000 1.88% 46.000 57.000 PCL3 39.452 -0.057 0.000 1.24% 19.000 34.000 40.000 564.000 440.769 -0.886 80.000 1.42% 47.000 59.000 PCL4 36.122 0.097 0.000 2.13% 16.000 31.000 36.000 517.000 412.266 -0.787 80.000 1.74% 42.000 55.000 PCL5 36.667 0.001 0.000 0.45% 17.000 31.000 36.500 442.000 381.996 -0.897 80.000 0.23% 43.000 56.000 FAM1 47.727 -0.049 0.000 1.03% 26.190 41.667 47.619 681.000 508.050 -0.708 100.000 0.29% 54.762 69.048 FAM2 45.687 -0.023 0.000 1.20% 26.190 40.476 47.619 581.000 469.698 -0.550 100.000 0.34% 52.381 64.286 FAM3 45.291 0.039 0.000 2.28% 23.810 38.095 45.238 569.000 536.747 -0.669 100.000 0.18% 50.000 64.286 FAM4 44.727 0.089 0.000 2.88% 26.190 38.095 42.857 521.000 526.093 -0.595 100.000 0.19% 50.000 64.286 FAM5 42.513 0.120 0.000 2.24% 21.429 35.714 42.857 447.000 481.545 -0.576 100.000 0.22% 47.619 61.905 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 24 Loglikelihood H0 Value -22119.316 H0 Scaling Correction Factor 1.0244 for MLR Information Criteria Akaike (AIC) 44286.633 Bayesian (BIC) 44396.568 Sample-Size Adjusted BIC 44320.361 (n* = (n + 2) / 24) MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value FS ON P -0.028 0.006 -4.899 0.000 PS ON F -0.044 0.007 -6.507 0.000 P WITH PS -10.136 3.338 -3.037 0.002 F 393.863 42.166 9.341 0.000 F WITH FS -1.552 1.866 -0.832 0.406 PS WITH FS 0.717 0.131 5.454 0.000 Means P 41.330 1.320 31.309 0.000 F 51.593 1.305 39.539 0.000 Intercepts PCL1 0.000 0.000 999.000 999.000 PCL2 0.000 0.000 999.000 999.000 PCL3 0.000 0.000 999.000 999.000 PCL4 0.000 0.000 999.000 999.000 PCL5 0.000 0.000 999.000 999.000 FAM1 0.000 0.000 999.000 999.000 FAM2 0.000 0.000 999.000 999.000 FAM3 0.000 0.000 999.000 999.000 FAM4 0.000 0.000 999.000 999.000 FAM5 0.000 0.000 999.000 999.000 PS 2.014 0.354 5.682 0.000 FS 0.574 0.238 2.410 0.016 Variances P 608.808 58.041 10.489 0.000 F 423.672 49.188 8.613 0.000 Residual Variances PCL1 93.959 14.443 6.505 0.000 PCL2 99.235 10.357 9.581 0.000 PCL3 79.738 7.964 10.013 0.000 PCL4 90.600 9.048 10.014 0.000 PCL5 85.895 11.637 7.381 0.000 FAM1 218.919 16.227 13.491 0.000 FAM2 173.759 14.810 11.732 0.000 FAM3 209.452 16.735 12.516 0.000 FAM4 187.417 15.213 12.319 0.000 FAM5 203.592 19.838 10.263 0.000 PS 1.640 0.331 4.952 0.000 FS 0.763 0.184 4.141 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.214E-07 (ratio of smallest to largest eigenvalue) #Parallel Process Model - IPF Friend: Female INPUT INSTRUCTIONS DATA: FILE IS "XX"; VARIABLE: NAMES ARE ID Rom1 Rom2 Rom3 Rom4 Rom5 Fam1 Fam2 Fam3 Fam4 Fam5 Wrk1 Wrk2 Wrk3 Wrk4 Wrk5 Fnd1 Fnd2 Fnd3 Fnd4 Fnd5 Par1 Par2 Par3 Par4 Par5 Slf1 Slf2 Slf3 Slf4 Slf5 Edu1 Edu2 Edu3 Edu4 Edu5 Tot1 Tot2 Tot3 Tot4 Tot5 TSD1 TSD2 TSD3 TSD4 TSD5 PCL1 PCL2 PCL3 PCL4 PCL5 Sex; USEVARIABLES ARE PCL1 PCL2 PCL3 PCL4 PCL5 Fnd1 Fnd2 Fnd3 Fnd4 Fnd5 TSD1 TSD2 TSD3 TSD4 TSD5; TSCORES = TSD1 TSD2 TSD3 TSD4 TSD5; Missing = ALL (999); ANALYSIS: ESTIMATOR = MLR; TYPE= RANDOM; MODEL: P PS | PCL1 PCL2 PCL3 PCL4 PCL5 at TSD1 TSD2 TSD3 TSD4 TSD5; F FS | Fnd1 Fnd2 Fnd3 Fnd4 Fnd5 at TSD1 TSD2 TSD3 TSD4 TSD5; P with PS; F with FS; P with F; PS with FS; FS on P; PS on F; SUMMARY OF ANALYSIS Number of groups 1 Number of observations 721 Number of dependent variables 10 Number of independent variables 0 Number of continuous latent variables 4 Observed dependent variables Continuous PCL1 PCL2 PCL3 PCL4 PCL5 FND1 FND2 FND3 FND4 FND5 Continuous latent variables P PS F FS Variables with special functions Time scores TSD1 TSD2 TSD3 TSD4 TSD5 Estimator MLR Information matrix OBSERVED Maximum number of iterations 100 Convergence criterion 0.100D-05 Maximum number of EM iterations 500 Convergence criteria for the EM algorithm Loglikelihood change 0.100D-02 Relative loglikelihood change 0.100D-05 Derivative 0.100D-03 Minimum variance 0.100D-03 Maximum number of steepest descent iterations 20 Maximum number of iterations for H1 2000 Convergence criterion for H1 0.100D-03 Optimization algorithm EMA Input data file(s) U:\Mplus\Mplus_Fem_missing_999_entered.csv Input data format FREE SUMMARY OF DATA Number of missing data patterns 221 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage PCL1 PCL2 PCL3 PCL4 PCL5 ________ ________ ________ ________ ________ PCL1 0.545 PCL2 0.423 0.810 PCL3 0.405 0.669 0.782 PCL4 0.372 0.619 0.620 0.717 PCL5 0.304 0.520 0.512 0.509 0.613 FND1 0.445 0.656 0.642 0.577 0.502 FND2 0.379 0.680 0.609 0.552 0.472 FND3 0.350 0.589 0.624 0.540 0.474 FND4 0.331 0.563 0.564 0.596 0.467 FND5 0.279 0.474 0.479 0.463 0.524 Covariance Coverage FND1 FND2 FND3 FND4 FND5 ________ ________ ________ ________ ________ FND1 0.798 FND2 0.637 0.732 FND3 0.616 0.589 0.692 FND4 0.564 0.538 0.546 0.650 FND5 0.483 0.460 0.458 0.454 0.569 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 PCL1 39.649 -0.070 0.000 1.02% 19.000 35.000 40.000 393.000 405.113 -0.900 80.000 2.04% 47.000 58.000 PCL2 38.702 -0.022 0.000 1.54% 20.000 33.000 39.000 584.000 421.035 -0.921 80.000 1.88% 46.000 57.000 PCL3 39.452 -0.057 0.000 1.24% 19.000 34.000 40.000 564.000 440.769 -0.886 80.000 1.42% 47.000 59.000 PCL4 36.122 0.097 0.000 2.13% 16.000 31.000 36.000 517.000 412.266 -0.787 80.000 1.74% 42.000 55.000 PCL5 36.667 0.001 0.000 0.45% 17.000 31.000 36.500 442.000 381.996 -0.897 80.000 0.23% 43.000 56.000 FND1 41.966 0.043 0.000 1.57% 22.917 37.500 43.750 575.000 412.257 -0.544 97.917 0.17% 47.917 58.333 FND2 39.770 0.154 0.000 1.14% 20.833 33.333 38.839 528.000 401.005 -0.545 100.000 0.19% 45.833 56.250 FND3 39.669 0.310 0.000 1.20% 20.833 35.417 39.583 499.000 425.935 -0.262 100.000 0.20% 43.750 56.250 FND4 40.631 0.116 0.000 2.13% 22.917 35.417 41.667 469.000 392.114 -0.307 100.000 0.21% 45.833 56.250 FND5 37.891 0.121 0.000 2.20% 20.833 31.250 37.500 410.000 371.561 -0.407 87.500 0.49% 43.750 52.083 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 24 Loglikelihood H0 Value -20427.514 H0 Scaling Correction Factor 1.0212 for MLR Information Criteria Akaike (AIC) 40903.028 Bayesian (BIC) 41012.964 Sample-Size Adjusted BIC 40936.757 (n* = (n + 2) / 24) MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value FS ON P -0.034 0.005 -6.848 0.000 PS ON F -0.061 0.006 -9.641 0.000 P WITH PS -4.979 2.142 -2.324 0.020 F 445.472 44.394 10.034 0.000 F WITH FS -2.583 1.567 -1.648 0.099 PS WITH FS 0.949 0.113 8.372 0.000 Means P 41.355 1.325 31.214 0.000 F 46.484 1.271 36.583 0.000 Intercepts PCL1 0.000 0.000 999.000 999.000 PCL2 0.000 0.000 999.000 999.000 PCL3 0.000 0.000 999.000 999.000 PCL4 0.000 0.000 999.000 999.000 PCL5 0.000 0.000 999.000 999.000 FND1 0.000 0.000 999.000 999.000 FND2 0.000 0.000 999.000 999.000 FND3 0.000 0.000 999.000 999.000 FND4 0.000 0.000 999.000 999.000 FND5 0.000 0.000 999.000 999.000 PS 2.586 0.308 8.400 0.000 FS 0.910 0.218 4.174 0.000 Variances P 650.564 56.558 11.503 0.000 F 406.181 46.743 8.690 0.000 Residual Variances PCL1 88.848 12.704 6.994 0.000 PCL2 99.219 10.109 9.815 0.000 PCL3 80.952 8.391 9.647 0.000 PCL4 90.584 8.992 10.074 0.000 PCL5 75.300 10.776 6.988 0.000 FND1 177.492 17.287 10.268 0.000 FND2 164.123 14.089 11.649 0.000 FND3 157.929 12.790 12.348 0.000 FND4 130.204 12.072 10.785 0.000 FND5 110.326 12.168 9.067 0.000 PS 1.486 0.220 6.755 0.000 FS 1.170 0.199 5.876 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.466E-07 (ratio of smallest to largest eigenvalue) #Parallel Process Model - IPF Romance: Female INPUT INSTRUCTIONS DATA: FILE IS "XX"; VARIABLE: NAMES ARE ID Rom1 Rom2 Rom3 Rom4 Rom5 Fam1 Fam2 Fam3 Fam4 Fam5 Wrk1 Wrk2 Wrk3 Wrk4 Wrk5 Fnd1 Fnd2 Fnd3 Fnd4 Fnd5 Par1 Par2 Par3 Par4 Par5 Slf1 Slf2 Slf3 Slf4 Slf5 Edu1 Edu2 Edu3 Edu4 Edu5 Tot1 Tot2 Tot3 Tot4 Tot5 TSD1 TSD2 TSD3 TSD4 TSD5 PCL1 PCL2 PCL3 PCL4 PCL5 Sex; USEVARIABLES ARE PCL1 PCL2 PCL3 PCL4 PCL5 Rom1 Rom2 Rom3 Rom4 Rom5 TSD1 TSD2 TSD3 TSD4 TSD5; TSCORES = TSD1 TSD2 TSD3 TSD4 TSD5; Missing = ALL (999); ANALYSIS: ESTIMATOR = MLR; TYPE= RANDOM; MODEL: P PS | PCL1 PCL2 PCL3 PCL4 PCL5 at TSD1 TSD2 TSD3 TSD4 TSD5; F FS | Rom1 Rom2 Rom3 Rom4 Rom5 at TSD1 TSD2 TSD3 TSD4 TSD5; P with PS; F with FS; P with F; PS with FS; FS on P; PS on F; SUMMARY OF ANALYSIS Number of groups 1 Number of observations 721 Number of dependent variables 10 Number of independent variables 0 Number of continuous latent variables 4 Observed dependent variables Continuous PCL1 PCL2 PCL3 PCL4 PCL5 ROM1 ROM2 ROM3 ROM4 ROM5 Continuous latent variables P PS F FS Variables with special functions Time scores TSD1 TSD2 TSD3 TSD4 TSD5 Estimator MLR Information matrix OBSERVED Maximum number of iterations 100 Convergence criterion 0.100D-05 Maximum number of EM iterations 500 Convergence criteria for the EM algorithm Loglikelihood change 0.100D-02 Relative loglikelihood change 0.100D-05 Derivative 0.100D-03 Minimum variance 0.100D-03 Maximum number of steepest descent iterations 20 Maximum number of iterations for H1 2000 Convergence criterion for H1 0.100D-03 Optimization algorithm EMA Input data file(s) U:\Mplus\Mplus_Fem_missing_999_entered.csv Input data format FREE SUMMARY OF DATA Number of missing data patterns 255 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage PCL1 PCL2 PCL3 PCL4 PCL5 ________ ________ ________ ________ ________ PCL1 0.545 PCL2 0.423 0.810 PCL3 0.405 0.669 0.782 PCL4 0.372 0.619 0.620 0.717 PCL5 0.304 0.520 0.512 0.509 0.613 ROM1 0.336 0.512 0.479 0.445 0.391 ROM2 0.288 0.515 0.459 0.416 0.344 ROM3 0.280 0.473 0.490 0.426 0.363 ROM4 0.248 0.419 0.413 0.444 0.351 ROM5 0.212 0.358 0.365 0.354 0.395 Covariance Coverage ROM1 ROM2 ROM3 ROM4 ROM5 ________ ________ ________ ________ ________ ROM1 0.612 ROM2 0.431 0.553 ROM3 0.415 0.423 0.541 ROM4 0.372 0.362 0.388 0.484 ROM5 0.341 0.302 0.326 0.312 0.431 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 PCL1 39.649 -0.070 0.000 1.02% 19.000 35.000 40.000 393.000 405.113 -0.900 80.000 2.04% 47.000 58.000 PCL2 38.702 -0.022 0.000 1.54% 20.000 33.000 39.000 584.000 421.035 -0.921 80.000 1.88% 46.000 57.000 PCL3 39.452 -0.057 0.000 1.24% 19.000 34.000 40.000 564.000 440.769 -0.886 80.000 1.42% 47.000 59.000 PCL4 36.122 0.097 0.000 2.13% 16.000 31.000 36.000 517.000 412.266 -0.787 80.000 1.74% 42.000 55.000 PCL5 36.667 0.001 0.000 0.45% 17.000 31.000 36.500 442.000 381.996 -0.897 80.000 0.23% 43.000 56.000 ROM1 39.131 0.121 0.000 1.13% 22.727 33.333 39.394 441.000 347.690 -0.417 92.424 0.23% 43.939 54.545 ROM2 38.069 0.241 0.000 0.50% 19.697 30.303 36.364 399.000 375.781 -0.566 95.455 0.25% 42.424 56.061 ROM3 37.035 0.276 0.000 0.77% 19.697 30.303 36.364 390.000 362.445 -0.406 96.970 0.26% 40.909 53.030 ROM4 37.054 0.125 0.000 1.43% 19.697 31.818 36.364 349.000 347.705 -0.540 96.970 0.29% 42.424 54.545 ROM5 36.124 0.390 0.000 0.64% 19.697 28.788 33.333 311.000 379.888 -0.341 95.455 0.64% 39.394 53.030 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 24 Loglikelihood H0 Value -18017.878 H0 Scaling Correction Factor 1.0261 for MLR Information Criteria Akaike (AIC) 36083.756 Bayesian (BIC) 36193.692 Sample-Size Adjusted BIC 36117.485 (n* = (n + 2) / 24) MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value FS ON P -0.026 0.006 -4.177 0.000 PS ON F -0.076 0.009 -8.806 0.000 P WITH PS -5.533 2.750 -2.012 0.044 F 350.807 49.922 7.027 0.000 F WITH FS -3.947 2.370 -1.665 0.096 PS WITH FS 0.682 0.106 6.454 0.000 Means P 41.208 1.347 30.597 0.000 F 41.887 1.386 30.219 0.000 Intercepts PCL1 0.000 0.000 999.000 999.000 PCL2 0.000 0.000 999.000 999.000 PCL3 0.000 0.000 999.000 999.000 PCL4 0.000 0.000 999.000 999.000 PCL5 0.000 0.000 999.000 999.000 ROM1 0.000 0.000 999.000 999.000 ROM2 0.000 0.000 999.000 999.000 ROM3 0.000 0.000 999.000 999.000 ROM4 0.000 0.000 999.000 999.000 ROM5 0.000 0.000 999.000 999.000 PS 2.934 0.370 7.924 0.000 FS 0.734 0.252 2.915 0.004 Variances P 658.976 63.850 10.321 0.000 F 296.879 50.752 5.850 0.000 Residual Variances PCL1 93.882 14.198 6.612 0.000 PCL2 99.010 10.383 9.536 0.000 PCL3 79.217 8.304 9.540 0.000 PCL4 91.741 9.109 10.071 0.000 PCL5 75.585 12.146 6.223 0.000 ROM1 180.422 17.497 10.312 0.000 ROM2 162.454 15.562 10.439 0.000 ROM3 145.509 13.955 10.427 0.000 ROM4 116.361 13.747 8.464 0.000 ROM5 130.315 17.293 7.536 0.000 PS 1.186 0.274 4.328 0.000 FS 1.253 0.298 4.204 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.728E-07 (ratio of smallest to largest eigenvalue) #Parallel Process Model - IPF Work: Female INPUT INSTRUCTIONS DATA: FILE IS "XX"; VARIABLE: NAMES ARE ID Rom1 Rom2 Rom3 Rom4 Rom5 Fam1 Fam2 Fam3 Fam4 Fam5 Wrk1 Wrk2 Wrk3 Wrk4 Wrk5 Fnd1 Fnd2 Fnd3 Fnd4 Fnd5 Par1 Par2 Par3 Par4 Par5 Slf1 Slf2 Slf3 Slf4 Slf5 Edu1 Edu2 Edu3 Edu4 Edu5 Tot1 Tot2 Tot3 Tot4 Tot5 TSD1 TSD2 TSD3 TSD4 TSD5 PCL1 PCL2 PCL3 PCL4 PCL5 Sex; USEVARIABLES ARE PCL1 PCL2 PCL3 PCL4 PCL5 Wrk1 Wrk2 Wrk3 Wrk4 Wrk5 TSD1 TSD2 TSD3 TSD4 TSD5; TSCORES = TSD1 TSD2 TSD3 TSD4 TSD5; Missing = ALL (999); ANALYSIS: ESTIMATOR = MLR; TYPE= RANDOM; MODEL: P PS | PCL1 PCL2 PCL3 PCL4 PCL5 at TSD1 TSD2 TSD3 TSD4 TSD5; F | Wrk1 Wrk2 Wrk3 Wrk4 Wrk5 at TSD1 TSD2 TSD3 TSD4 TSD5; P with PS; P with F; PS on F; SUMMARY OF ANALYSIS Number of groups 1 Number of observations 721 Number of dependent variables 10 Number of independent variables 0 Number of continuous latent variables 3 Observed dependent variables Continuous PCL1 PCL2 PCL3 PCL4 PCL5 WRK1 WRK2 WRK3 WRK4 WRK5 Continuous latent variables P PS F Variables with special functions Time scores TSD1 TSD2 TSD3 TSD4 TSD5 Estimator MLR Information matrix OBSERVED Maximum number of iterations 100 Convergence criterion 0.100D-05 Maximum number of EM iterations 500 Convergence criteria for the EM algorithm Loglikelihood change 0.100D-02 Relative loglikelihood change 0.100D-05 Derivative 0.100D-03 Minimum variance 0.100D-03 Maximum number of steepest descent iterations 20 Maximum number of iterations for H1 2000 Convergence criterion for H1 0.100D-03 Optimization algorithm EMA Input data file(s) U:\Mplus\Mplus_Fem_missing_999_entered.csv Input data format FREE SUMMARY OF DATA Number of missing data patterns 258 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage PCL1 PCL2 PCL3 PCL4 PCL5 ________ ________ ________ ________ ________ PCL1 0.545 PCL2 0.423 0.810 PCL3 0.405 0.669 0.782 PCL4 0.372 0.619 0.620 0.717 PCL5 0.304 0.520 0.512 0.509 0.613 WRK1 0.325 0.509 0.479 0.437 0.398 WRK2 0.275 0.520 0.473 0.427 0.387 WRK3 0.286 0.470 0.492 0.433 0.376 WRK4 0.261 0.426 0.422 0.455 0.370 WRK5 0.223 0.363 0.347 0.344 0.395 Covariance Coverage WRK1 WRK2 WRK3 WRK4 WRK5 ________ ________ ________ ________ ________ WRK1 0.605 WRK2 0.419 0.559 WRK3 0.411 0.436 0.544 WRK4 0.363 0.387 0.398 0.497 WRK5 0.318 0.313 0.325 0.313 0.426 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 PCL1 39.649 -0.070 0.000 1.02% 19.000 35.000 40.000 393.000 405.113 -0.900 80.000 2.04% 47.000 58.000 PCL2 38.702 -0.022 0.000 1.54% 20.000 33.000 39.000 584.000 421.035 -0.921 80.000 1.88% 46.000 57.000 PCL3 39.452 -0.057 0.000 1.24% 19.000 34.000 40.000 564.000 440.769 -0.886 80.000 1.42% 47.000 59.000 PCL4 36.122 0.097 0.000 2.13% 16.000 31.000 36.000 517.000 412.266 -0.787 80.000 1.74% 42.000 55.000 PCL5 36.667 0.001 0.000 0.45% 17.000 31.000 36.500 442.000 381.996 -0.897 80.000 0.23% 43.000 56.000 WRK1 27.256 0.682 0.000 2.29% 13.492 22.222 26.190 436.000 245.275 0.842 96.825 0.23% 30.000 39.683 WRK2 25.556 0.788 0.000 1.49% 11.905 19.841 23.810 403.000 238.823 0.700 88.095 0.25% 26.667 38.095 WRK3 25.669 0.809 0.000 1.28% 12.698 19.841 23.016 392.000 243.174 0.532 79.365 0.26% 27.778 37.500 WRK4 25.795 0.771 0.794 0.28% 13.492 21.429 24.603 358.000 220.859 0.806 84.127 0.28% 27.778 38.095 WRK5 24.860 0.885 0.000 1.30% 11.111 19.048 22.222 307.000 252.803 0.448 77.778 0.33% 25.397 38.095 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 19 Loglikelihood H0 Value -17615.851 H0 Scaling Correction Factor 1.2878 for MLR Information Criteria Akaike (AIC) 35269.702 Bayesian (BIC) 35356.734 Sample-Size Adjusted BIC 35296.403 (n* = (n + 2) / 24) MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value PS ON F -0.018 0.011 -1.655 0.098 P WITH PS -23.772 5.584 -4.257 0.000 F 157.842 20.979 7.524 0.000 Means P 41.293 1.338 30.868 0.000 F 27.770 0.582 47.707 0.000 Intercepts PCL1 0.000 0.000 999.000 999.000 PCL2 0.000 0.000 999.000 999.000 PCL3 0.000 0.000 999.000 999.000 PCL4 0.000 0.000 999.000 999.000 PCL5 0.000 0.000 999.000 999.000 WRK1 0.000 0.000 999.000 999.000 WRK2 0.000 0.000 999.000 999.000 WRK3 0.000 0.000 999.000 999.000 WRK4 0.000 0.000 999.000 999.000 WRK5 0.000 0.000 999.000 999.000 PS 0.265 0.330 0.803 0.422 Variances P 606.386 65.542 9.252 0.000 F 151.996 12.557 12.105 0.000 Residual Variances PCL1 100.492 14.661 6.854 0.000 PCL2 99.222 10.446 9.499 0.000 PCL3 77.889 8.311 9.372 0.000 PCL4 92.922 8.993 10.333 0.000 PCL5 82.978 13.077 6.345 0.000 WRK1 102.855 12.046 8.539 0.000 WRK2 104.496 12.572 8.312 0.000 WRK3 82.339 10.495 7.846 0.000 WRK4 85.735 9.968 8.601 0.000 WRK5 106.318 13.519 7.865 0.000 PS 2.296 0.541 4.242 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.531E-05 (ratio of smallest to largest eigenvalue) #Parallel Process Model - IPF Parent: Female INPUT INSTRUCTIONS DATA: FILE IS "XX"; VARIABLE: NAMES ARE ID Rom1 Rom2 Rom3 Rom4 Rom5 Fam1 Fam2 Fam3 Fam4 Fam5 Wrk1 Wrk2 Wrk3 Wrk4 Wrk5 Fnd1 Fnd2 Fnd3 Fnd4 Fnd5 Par1 Par2 Par3 Par4 Par5 Slf1 Slf2 Slf3 Slf4 Slf5 Edu1 Edu2 Edu3 Edu4 Edu5 Tot1 Tot2 Tot3 Tot4 Tot5 TSD1 TSD2 TSD3 TSD4 TSD5 PCL1 PCL2 PCL3 PCL4 PCL5 Sex; USEVARIABLES ARE PCL1 PCL2 PCL3 PCL4 PCL5 Par1 Par2 Par3 Par4 Par5 TSD1 TSD2 TSD3 TSD4 TSD5; TSCORES = TSD1 TSD2 TSD3 TSD4 TSD5; Missing = ALL (999); ANALYSIS: ESTIMATOR = MLR; TYPE= RANDOM; MODEL: P PS | PCL1 PCL2 PCL3 PCL4 PCL5 at TSD1 TSD2 TSD3 TSD4 TSD5; F FS | Par1 Par2 Par3 Par4 Par5 at TSD1 TSD2 TSD3 TSD4 TSD5; P with PS; F with FS; P with F; PS with FS; FS on P; PS on F; SUMMARY OF ANALYSIS Number of groups 1 Number of observations 721 Number of dependent variables 10 Number of independent variables 0 Number of continuous latent variables 4 Observed dependent variables Continuous PCL1 PCL2 PCL3 PCL4 PCL5 PAR1 PAR2 PAR3 PAR4 PAR5 Continuous latent variables P PS F FS Variables with special functions Time scores TSD1 TSD2 TSD3 TSD4 TSD5 Estimator MLR Information matrix OBSERVED Maximum number of iterations 100 Convergence criterion 0.100D-05 Maximum number of EM iterations 500 Convergence criteria for the EM algorithm Loglikelihood change 0.100D-02 Relative loglikelihood change 0.100D-05 Derivative 0.100D-03 Minimum variance 0.100D-03 Maximum number of steepest descent iterations 20 Maximum number of iterations for H1 2000 Convergence criterion for H1 0.100D-03 Optimization algorithm EMA Input data file(s) U:\Mplus\Mplus_Fem_missing_999_entered.csv Input data format FREE SUMMARY OF DATA Number of missing data patterns 219 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage PCL1 PCL2 PCL3 PCL4 PCL5 ________ ________ ________ ________ ________ PCL1 0.545 PCL2 0.423 0.810 PCL3 0.405 0.669 0.782 PCL4 0.372 0.619 0.620 0.717 PCL5 0.304 0.520 0.512 0.509 0.613 PAR1 0.319 0.458 0.424 0.413 0.352 PAR2 0.268 0.479 0.415 0.394 0.326 PAR3 0.294 0.462 0.473 0.419 0.350 PAR4 0.251 0.401 0.399 0.436 0.338 PAR5 0.219 0.355 0.345 0.336 0.388 Covariance Coverage PAR1 PAR2 PAR3 PAR4 PAR5 ________ ________ ________ ________ ________ PAR1 0.564 PAR2 0.423 0.515 PAR3 0.422 0.427 0.528 PAR4 0.383 0.369 0.398 0.476 PAR5 0.319 0.312 0.330 0.319 0.419 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 PCL1 39.649 -0.070 0.000 1.02% 19.000 35.000 40.000 393.000 405.113 -0.900 80.000 2.04% 47.000 58.000 PCL2 38.702 -0.022 0.000 1.54% 20.000 33.000 39.000 584.000 421.035 -0.921 80.000 1.88% 46.000 57.000 PCL3 39.452 -0.057 0.000 1.24% 19.000 34.000 40.000 564.000 440.769 -0.886 80.000 1.42% 47.000 59.000 PCL4 36.122 0.097 0.000 2.13% 16.000 31.000 36.000 517.000 412.266 -0.787 80.000 1.74% 42.000 55.000 PCL5 36.667 0.001 0.000 0.45% 17.000 31.000 36.500 442.000 381.996 -0.897 80.000 0.23% 43.000 56.000 PAR1 28.384 0.472 0.000 7.13% 10.000 20.000 26.667 407.000 390.939 -0.526 85.000 0.25% 31.667 46.667 PAR2 27.277 0.595 0.000 6.20% 8.333 18.333 25.000 371.000 388.583 -0.360 85.000 0.27% 30.000 45.000 PAR3 27.764 0.628 0.000 6.30% 10.000 20.000 25.000 381.000 381.750 -0.120 95.000 0.26% 30.000 45.000 PAR4 25.474 0.705 0.000 8.16% 8.333 18.333 23.333 343.000 348.665 0.142 91.667 0.29% 28.333 40.000 PAR5 25.115 0.578 0.000 6.62% 6.667 18.333 25.000 302.000 318.418 0.183 100.000 0.33% 30.000 41.667 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 24 Loglikelihood H0 Value -17605.358 H0 Scaling Correction Factor 1.0646 for MLR Information Criteria Akaike (AIC) 35258.716 Bayesian (BIC) 35368.651 Sample-Size Adjusted BIC 35292.444 (n* = (n + 2) / 24) MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value FS ON P -0.036 0.005 -7.157 0.000 PS ON F -0.049 0.006 -8.448 0.000 P WITH PS -12.637 3.075 -4.109 0.000 F 417.253 50.817 8.211 0.000 F WITH FS -10.837 2.267 -4.780 0.000 PS WITH FS 0.598 0.107 5.595 0.000 Means P 41.203 1.350 30.514 0.000 F 29.579 1.493 19.806 0.000 Intercepts PCL1 0.000 0.000 999.000 999.000 PCL2 0.000 0.000 999.000 999.000 PCL3 0.000 0.000 999.000 999.000 PCL4 0.000 0.000 999.000 999.000 PCL5 0.000 0.000 999.000 999.000 PAR1 0.000 0.000 999.000 999.000 PAR2 0.000 0.000 999.000 999.000 PAR3 0.000 0.000 999.000 999.000 PAR4 0.000 0.000 999.000 999.000 PAR5 0.000 0.000 999.000 999.000 PS 1.205 0.206 5.865 0.000 FS 1.237 0.238 5.195 0.000 Variances P 667.454 55.933 11.933 0.000 F 536.278 49.095 10.923 0.000 Residual Variances PCL1 94.991 14.351 6.619 0.000 PCL2 98.682 10.499 9.399 0.000 PCL3 77.142 8.055 9.577 0.000 PCL4 91.236 8.783 10.388 0.000 PCL5 76.367 11.343 6.733 0.000 PAR1 133.563 19.422 6.877 0.000 PAR2 131.696 14.224 9.259 0.000 PAR3 124.759 16.539 7.543 0.000 PAR4 127.606 15.951 8.000 0.000 PAR5 139.980 18.833 7.433 0.000 PS 1.710 0.244 7.008 0.000 FS 1.223 0.155 7.887 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.443E-06 (ratio of smallest to largest eigenvalue) #Parallel Process Model - IPF Education: Female INPUT INSTRUCTIONS DATA: FILE IS "XX"; VARIABLE: NAMES ARE ID Rom1 Rom2 Rom3 Rom4 Rom5 Fam1 Fam2 Fam3 Fam4 Fam5 Wrk1 Wrk2 Wrk3 Wrk4 Wrk5 Fnd1 Fnd2 Fnd3 Fnd4 Fnd5 Par1 Par2 Par3 Par4 Par5 Slf1 Slf2 Slf3 Slf4 Slf5 Edu1 Edu2 Edu3 Edu4 Edu5 Tot1 Tot2 Tot3 Tot4 Tot5 TSD1 TSD2 TSD3 TSD4 TSD5 PCL1 PCL2 PCL3 PCL4 PCL5 Sex; USEVARIABLES ARE PCL1 PCL2 PCL3 PCL4 PCL5 Edu1 Edu2 Edu3 Edu4 Edu5 TSD1 TSD2 TSD3 TSD4 TSD5; TSCORES = TSD1 TSD2 TSD3 TSD4 TSD5; Missing = ALL (999); ANALYSIS: ESTIMATOR = MLR; TYPE= RANDOM; MODEL: P PS | PCL1 PCL2 PCL3 PCL4 PCL5 at TSD1 TSD2 TSD3 TSD4 TSD5; F | Edu1 Edu2 Edu3 Edu4 Edu5 at TSD1 TSD2 TSD3 TSD4 TSD5; P with PS; P with F; PS on F; SUMMARY OF ANALYSIS Number of groups 1 Number of observations 721 Number of dependent variables 10 Number of independent variables 0 Number of continuous latent variables 3 Observed dependent variables Continuous PCL1 PCL2 PCL3 PCL4 PCL5 EDU1 EDU2 EDU3 EDU4 EDU5 Continuous latent variables P PS F Variables with special functions Time scores TSD1 TSD2 TSD3 TSD4 TSD5 Estimator MLR Information matrix OBSERVED Maximum number of iterations 100 Convergence criterion 0.100D-05 Maximum number of EM iterations 500 Convergence criteria for the EM algorithm Loglikelihood change 0.100D-02 Relative loglikelihood change 0.100D-05 Derivative 0.100D-03 Minimum variance 0.100D-03 Maximum number of steepest descent iterations 20 Maximum number of iterations for H1 2000 Convergence criterion for H1 0.100D-03 Optimization algorithm EMA Input data file(s) U:\Mplus\Mplus_Fem_missing_999_entered.csv Input data format FREE SUMMARY OF DATA Number of missing data patterns 234 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage PCL1 PCL2 PCL3 PCL4 PCL5 ________ ________ ________ ________ ________ PCL1 0.545 PCL2 0.423 0.810 PCL3 0.405 0.669 0.782 PCL4 0.372 0.619 0.620 0.717 PCL5 0.304 0.520 0.512 0.509 0.613 EDU1 0.233 0.333 0.337 0.288 0.269 EDU2 0.144 0.265 0.251 0.209 0.183 EDU3 0.115 0.196 0.209 0.175 0.148 EDU4 0.086 0.150 0.143 0.155 0.132 EDU5 0.049 0.092 0.087 0.089 0.100 Covariance Coverage EDU1 EDU2 EDU3 EDU4 EDU5 ________ ________ ________ ________ ________ EDU1 0.416 EDU2 0.166 0.291 EDU3 0.119 0.139 0.229 EDU4 0.085 0.092 0.085 0.173 EDU5 0.053 0.040 0.039 0.033 0.107 WARNING: THE COVARIANCE COVERAGE FALLS BELOW THE SPECIFIED LIMIT. 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 PCL1 39.649 -0.070 0.000 1.02% 19.000 35.000 40.000 393.000 405.113 -0.900 80.000 2.04% 47.000 58.000 PCL2 38.702 -0.022 0.000 1.54% 20.000 33.000 39.000 584.000 421.035 -0.921 80.000 1.88% 46.000 57.000 PCL3 39.452 -0.057 0.000 1.24% 19.000 34.000 40.000 564.000 440.769 -0.886 80.000 1.42% 47.000 59.000 PCL4 36.122 0.097 0.000 2.13% 16.000 31.000 36.000 517.000 412.266 -0.787 80.000 1.74% 42.000 55.000 PCL5 36.667 0.001 0.000 0.45% 17.000 31.000 36.500 442.000 381.996 -0.897 80.000 0.23% 43.000 56.000 EDU1 30.452 0.420 0.000 0.33% 14.444 24.444 29.881 300.000 297.496 -0.475 73.333 1.00% 34.444 45.556 EDU2 30.539 0.514 0.000 1.43% 15.556 23.333 28.333 210.000 279.674 -0.148 73.333 1.90% 33.333 44.444 EDU3 31.351 0.418 0.000 1.21% 15.556 23.333 31.111 165.000 295.178 -0.438 80.000 0.61% 35.556 47.778 EDU4 29.142 0.698 0.000 2.40% 14.444 22.222 27.778 125.000 329.242 0.116 78.571 0.80% 30.000 41.111 EDU5 30.091 0.789 1.111 1.30% 11.111 21.111 26.667 77.000 417.660 -0.281 78.571 1.30% 30.000 47.778 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 19 Loglikelihood H0 Value -13797.001 H0 Scaling Correction Factor 1.3161 for MLR Information Criteria Akaike (AIC) 27632.003 Bayesian (BIC) 27719.035 Sample-Size Adjusted BIC 27658.705 (n* = (n + 2) / 24) MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value PS ON F -0.030 0.013 -2.280 0.023 P WITH PS -23.175 5.855 -3.958 0.000 F 193.919 27.271 7.111 0.000 Means P 41.238 1.354 30.458 0.000 F 31.668 0.722 43.856 0.000 Intercepts PCL1 0.000 0.000 999.000 999.000 PCL2 0.000 0.000 999.000 999.000 PCL3 0.000 0.000 999.000 999.000 PCL4 0.000 0.000 999.000 999.000 PCL5 0.000 0.000 999.000 999.000 EDU1 0.000 0.000 999.000 999.000 EDU2 0.000 0.000 999.000 999.000 EDU3 0.000 0.000 999.000 999.000 EDU4 0.000 0.000 999.000 999.000 EDU5 0.000 0.000 999.000 999.000 PS 0.708 0.436 1.624 0.104 Variances P 632.951 66.535 9.513 0.000 F 176.158 16.707 10.544 0.000 Residual Variances PCL1 99.179 14.547 6.818 0.000 PCL2 98.767 10.239 9.646 0.000 PCL3 77.365 8.217 9.415 0.000 PCL4 92.642 9.105 10.174 0.000 PCL5 81.050 12.983 6.243 0.000 EDU1 124.054 17.169 7.225 0.000 EDU2 91.410 17.618 5.189 0.000 EDU3 149.860 35.721 4.195 0.000 EDU4 186.439 48.014 3.883 0.000 EDU5 291.302 71.403 4.080 0.000 PS 2.389 0.548 4.362 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.473E-05 (ratio of smallest to largest eigenvalue) #Parallel Process Model - IPF Self Care: Female INPUT INSTRUCTIONS DATA: FILE IS "XX"; VARIABLE: NAMES ARE ID Rom1 Rom2 Rom3 Rom4 Rom5 Fam1 Fam2 Fam3 Fam4 Fam5 Wrk1 Wrk2 Wrk3 Wrk4 Wrk5 Fnd1 Fnd2 Fnd3 Fnd4 Fnd5 Par1 Par2 Par3 Par4 Par5 Slf1 Slf2 Slf3 Slf4 Slf5 Edu1 Edu2 Edu3 Edu4 Edu5 Tot1 Tot2 Tot3 Tot4 Tot5 TSD1 TSD2 TSD3 TSD4 TSD5 PCL1 PCL2 PCL3 PCL4 PCL5 Sex; USEVARIABLES ARE PCL1 PCL2 PCL3 PCL4 PCL5 Slf1 Slf2 Slf3 Slf4 Slf5 TSD1 TSD2 TSD3 TSD4 TSD5; TSCORES = TSD1 TSD2 TSD3 TSD4 TSD5; Missing = ALL (999); ANALYSIS: ESTIMATOR = MLR; TYPE= RANDOM; MODEL: P PS | PCL1 PCL2 PCL3 PCL4 PCL5 at TSD1 TSD2 TSD3 TSD4 TSD5; F FS FQ | Slf1 Slf2 Slf3 Slf4 Slf5 at TSD1 TSD2 TSD3 TSD4 TSD5; P with PS; F with FS FQ; P with F; PS with FS; FS FQ on P; PS on F; FQ on PS; SUMMARY OF ANALYSIS Number of groups 1 Number of observations 721 Number of dependent variables 10 Number of independent variables 0 Number of continuous latent variables 5 Observed dependent variables Continuous PCL1 PCL2 PCL3 PCL4 PCL5 SLF1 SLF2 SLF3 SLF4 SLF5 Continuous latent variables P PS F FS FQ Variables with special functions Time scores TSD1 TSD2 TSD3 TSD4 TSD5 Estimator MLR Information matrix OBSERVED Maximum number of iterations 100 Convergence criterion 0.100D-05 Maximum number of EM iterations 500 Convergence criteria for the EM algorithm Loglikelihood change 0.100D-02 Relative loglikelihood change 0.100D-05 Derivative 0.100D-03 Minimum variance 0.100D-03 Maximum number of steepest descent iterations 20 Maximum number of iterations for H1 2000 Convergence criterion for H1 0.100D-03 Optimization algorithm EMA Input data file(s) U:\Mplus\Mplus_Fem_missing_999_entered.csv Input data format FREE SUMMARY OF DATA Number of missing data patterns 105 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage PCL1 PCL2 PCL3 PCL4 PCL5 ________ ________ ________ ________ ________ PCL1 0.545 PCL2 0.423 0.810 PCL3 0.405 0.669 0.782 PCL4 0.372 0.619 0.620 0.717 PCL5 0.304 0.520 0.512 0.509 0.613 SLF1 0.541 0.798 0.768 0.706 0.602 SLF2 0.448 0.800 0.716 0.656 0.552 SLF3 0.448 0.743 0.779 0.682 0.571 SLF4 0.395 0.659 0.659 0.703 0.545 SLF5 0.327 0.556 0.551 0.538 0.605 Covariance Coverage SLF1 SLF2 SLF3 SLF4 SLF5 ________ ________ ________ ________ ________ SLF1 0.982 SLF2 0.850 0.864 SLF3 0.847 0.789 0.861 SLF4 0.755 0.695 0.727 0.766 SLF5 0.646 0.596 0.613 0.578 0.657 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 PCL1 39.649 -0.070 0.000 1.02% 19.000 35.000 40.000 393.000 405.113 -0.900 80.000 2.04% 47.000 58.000 PCL2 38.702 -0.022 0.000 1.54% 20.000 33.000 39.000 584.000 421.035 -0.921 80.000 1.88% 46.000 57.000 PCL3 39.452 -0.057 0.000 1.24% 19.000 34.000 40.000 564.000 440.769 -0.886 80.000 1.42% 47.000 59.000 PCL4 36.122 0.097 0.000 2.13% 16.000 31.000 36.000 517.000 412.266 -0.787 80.000 1.74% 42.000 55.000 PCL5 36.667 0.001 0.000 0.45% 17.000 31.000 36.500 442.000 381.996 -0.897 80.000 0.23% 43.000 56.000 SLF1 48.490 -0.193 0.000 0.14% 31.250 43.750 50.000 708.000 363.338 -0.525 91.667 0.14% 54.167 64.583 SLF2 48.006 -0.121 0.000 0.48% 31.250 43.750 47.917 623.000 348.685 -0.454 100.000 0.16% 54.167 64.583 SLF3 48.497 -0.192 0.000 0.16% 31.250 45.833 50.000 621.000 341.734 -0.516 93.750 0.48% 54.167 64.583 SLF4 47.107 -0.189 0.000 0.36% 31.250 43.750 47.917 552.000 335.026 -0.452 91.667 0.18% 52.083 62.500 SLF5 46.912 -0.126 0.000 0.21% 29.167 43.750 50.000 474.000 369.716 -0.598 95.833 0.42% 54.167 64.286 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 30 Loglikelihood H0 Value -22193.784 H0 Scaling Correction Factor 0.9511 for MLR Information Criteria Akaike (AIC) 44447.568 Bayesian (BIC) 44584.987 Sample-Size Adjusted BIC 44489.729 (n* = (n + 2) / 24) MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value FS ON P 0.013 0.015 0.866 0.386 FQ ON P 0.000 0.001 0.250 0.803 PS 0.049 0.004 13.263 0.000 PS ON F -0.040 0.009 -4.453 0.000 P WITH PS -25.146 3.625 -6.936 0.000 F 256.480 47.932 5.351 0.000 F WITH FS -4.849 5.679 -0.854 0.393 FQ 0.155 0.284 0.547 0.584 PS WITH FS -0.412 0.051 -8.127 0.000 FQ WITH FS -0.118 0.076 -1.558 0.119 Means P 41.789 1.338 31.231 0.000 F 44.979 1.816 24.767 0.000 Intercepts PCL1 0.000 0.000 999.000 999.000 PCL2 0.000 0.000 999.000 999.000 PCL3 0.000 0.000 999.000 999.000 PCL4 0.000 0.000 999.000 999.000 PCL5 0.000 0.000 999.000 999.000 SLF1 0.000 0.000 999.000 999.000 SLF2 0.000 0.000 999.000 999.000 SLF3 0.000 0.000 999.000 999.000 SLF4 0.000 0.000 999.000 999.000 SLF5 0.000 0.000 999.000 999.000 PS 1.531 0.424 3.611 0.000 FS 0.305 0.661 0.461 0.645 FQ -0.042 0.035 -1.198 0.231 Variances P 692.933 59.922 11.564 0.000 F 218.066 56.693 3.846 0.000 Residual Variances PCL1 94.541 13.806 6.848 0.000 PCL2 95.197 10.206 9.327 0.000 PCL3 79.440 8.159 9.737 0.000 PCL4 93.985 9.300 10.106 0.000 PCL5 67.541 10.644 6.345 0.000 SLF1 143.385 12.206 11.747 0.000 SLF2 120.929 9.491 12.741 0.000 SLF3 114.704 9.440 12.151 0.000 SLF4 111.196 8.603 12.926 0.000 SLF5 109.579 11.620 9.430 0.000 PS 2.881 0.341 8.441 0.000 FS 2.439 1.502 1.624 0.104 FQ 0.006 0.004 1.605 0.109 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.535E-08 (ratio of smallest to largest eigenvalue)