#Parallel Process Model - IPF Total: Male 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 PQ | PCL1 PCL2 PCL3 PCL4 PCL5 at TSD1 TSD2 TSD3 TSD4 TSD5; F FS FQ | Tot1 Tot2 Tot3 Tot4 Tot5 at TSD1 TSD2 TSD3 TSD4 TSD5; P with PS PQ; F with FS FQ; P with F; PS with FS; PQ with FQ; FS FQ on P; PS PQ on F; FQ on PS; PQ on FS; SUMMARY OF ANALYSIS Number of groups 1 Number of observations 713 Number of dependent variables 10 Number of independent variables 0 Number of continuous latent variables 6 Observed dependent variables Continuous PCL1 PCL2 PCL3 PCL4 PCL5 TOT1 TOT2 TOT3 TOT4 TOT5 Continuous latent variables P PS PQ 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_Male_missing_999_entered.csv Input data format FREE SUMMARY OF DATA Number of missing data patterns 85 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage PCL1 PCL2 PCL3 PCL4 PCL5 ________ ________ ________ ________ ________ PCL1 0.613 PCL2 0.446 0.776 PCL3 0.463 0.658 0.780 PCL4 0.398 0.583 0.613 0.683 PCL5 0.323 0.466 0.475 0.445 0.543 TOT1 0.613 0.769 0.773 0.677 0.537 TOT2 0.484 0.774 0.715 0.631 0.495 TOT3 0.488 0.701 0.780 0.649 0.501 TOT4 0.438 0.637 0.670 0.682 0.488 TOT5 0.356 0.511 0.523 0.489 0.543 Covariance Coverage TOT1 TOT2 TOT3 TOT4 TOT5 ________ ________ ________ ________ ________ TOT1 0.990 TOT2 0.833 0.840 TOT3 0.823 0.764 0.830 TOT4 0.743 0.694 0.711 0.752 TOT5 0.595 0.547 0.551 0.540 0.600 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 42.465 -0.266 0.000 0.46% 24.000 40.000 43.000 437.000 366.528 -0.780 80.000 0.69% 50.000 61.000 PCL2 40.013 -0.163 0.000 1.08% 19.000 36.000 42.000 553.000 407.745 -0.933 80.000 1.27% 47.000 59.000 PCL3 40.027 -0.090 0.000 1.62% 20.000 35.000 41.000 556.000 417.310 -0.883 80.000 1.44% 47.000 58.000 PCL4 35.643 0.091 0.000 3.08% 15.000 28.000 36.000 487.000 449.720 -0.939 80.000 1.23% 43.000 56.000 PCL5 36.385 0.103 0.000 2.33% 18.000 30.000 36.000 387.000 382.366 -0.691 80.000 1.03% 42.000 54.000 TOT1 42.190 0.144 4.309 0.14% 27.477 37.136 41.572 706.000 259.849 -0.455 93.528 0.14% 45.784 56.944 TOT2 39.422 0.219 2.639 0.17% 25.680 35.024 39.108 599.000 240.497 -0.062 89.509 0.17% 42.714 52.041 TOT3 39.926 0.118 0.000 0.17% 24.619 35.714 39.893 592.000 273.639 -0.216 95.833 0.17% 43.902 54.266 TOT4 38.492 0.191 0.694 0.19% 23.645 34.011 38.499 536.000 264.218 -0.235 87.798 0.19% 43.262 51.792 TOT5 37.117 0.247 0.595 0.23% 21.923 31.879 37.699 428.000 259.337 -0.291 92.496 0.23% 41.543 50.135 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 35 Loglikelihood H0 Value -20550.527 H0 Scaling Correction Factor 0.8693 for MLR Information Criteria Akaike (AIC) 41171.055 Bayesian (BIC) 41330.986 Sample-Size Adjusted BIC 41219.853 (n* = (n + 2) / 24) MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value FS ON P -0.093 0.004 -25.728 0.000 FQ ON P -0.002 0.000 -5.740 0.000 PS -0.040 0.001 -30.832 0.000 PS ON F -0.220 0.008 -27.512 0.000 PQ ON F -0.002 0.001 -1.884 0.060 FS -0.074 0.003 -26.375 0.000 P WITH PS -13.558 3.742 -3.623 0.000 PQ -0.267 0.037 -7.141 0.000 F 573.523 100.456 5.709 0.000 F WITH FS -4.234 1.695 -2.498 0.012 FQ -0.063 0.010 -6.489 0.000 PS WITH FS 8.518 0.648 13.144 0.000 PQ WITH FQ 0.003 0.001 5.145 0.000 Means P 50.293 2.931 17.159 0.000 F 47.932 1.876 25.545 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 8.971 0.687 13.065 0.000 PQ 0.045 0.052 0.878 0.380 FS 3.565 0.394 9.038 0.000 FQ 0.075 0.027 2.810 0.005 Variances P 967.454 151.995 6.365 0.000 F 407.539 66.661 6.114 0.000 Residual Variances PCL1 86.782 13.363 6.494 0.000 PCL2 74.476 7.701 9.671 0.000 PCL3 69.716 6.885 10.125 0.000 PCL4 102.041 10.205 10.000 0.000 PCL5 56.292 10.586 5.317 0.000 TOT1 80.656 7.387 10.918 0.000 TOT2 56.226 4.985 11.278 0.000 TOT3 51.881 4.641 11.179 0.000 TOT4 62.564 6.057 10.330 0.000 TOT5 47.865 6.116 7.826 0.000 PS 13.616 1.042 13.074 0.000 PQ 0.009 0.001 7.794 0.000 FS 7.085 0.531 13.339 0.000 FQ 0.003 0.000 7.996 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.174E-08 (ratio of smallest to largest eigenvalue) #Parallel Process Model - IPF Family: Male 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 PQ | PCL1 PCL2 PCL3 PCL4 PCL5 at TSD1 TSD2 TSD3 TSD4 TSD5; F FS FQ | Fam1 Fam2 Fam3 Fam4 Fam5 at TSD1 TSD2 TSD3 TSD4 TSD5; P with PS PQ; F with FS FQ; P with F; PS with FS; PQ with FQ; FS FQ on P; PS PQ on F; FQ on PS; PQ on FS; SUMMARY OF ANALYSIS Number of groups 1 Number of observations 713 Number of dependent variables 10 Number of independent variables 0 Number of continuous latent variables 6 Observed dependent variables Continuous PCL1 PCL2 PCL3 PCL4 PCL5 FAM1 FAM2 FAM3 FAM4 FAM5 Continuous latent variables P PS PQ 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_Male_missing_999_entered.csv Input data format FREE SUMMARY OF DATA Number of missing data patterns 180 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage PCL1 PCL2 PCL3 PCL4 PCL5 ________ ________ ________ ________ ________ PCL1 0.613 PCL2 0.446 0.776 PCL3 0.463 0.658 0.780 PCL4 0.398 0.583 0.613 0.683 PCL5 0.323 0.466 0.475 0.445 0.543 FAM1 0.547 0.694 0.703 0.613 0.487 FAM2 0.440 0.696 0.645 0.574 0.449 FAM3 0.424 0.607 0.673 0.562 0.438 FAM4 0.377 0.561 0.588 0.607 0.431 FAM5 0.321 0.460 0.468 0.440 0.489 Covariance Coverage FAM1 FAM2 FAM3 FAM4 FAM5 ________ ________ ________ ________ ________ FAM1 0.893 FAM2 0.704 0.759 FAM3 0.661 0.619 0.718 FAM4 0.610 0.572 0.571 0.663 FAM5 0.495 0.454 0.445 0.449 0.541 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 42.465 -0.266 0.000 0.46% 24.000 40.000 43.000 437.000 366.528 -0.780 80.000 0.69% 50.000 61.000 PCL2 40.013 -0.163 0.000 1.08% 19.000 36.000 42.000 553.000 407.745 -0.933 80.000 1.27% 47.000 59.000 PCL3 40.027 -0.090 0.000 1.62% 20.000 35.000 41.000 556.000 417.310 -0.883 80.000 1.44% 47.000 58.000 PCL4 35.643 0.091 0.000 3.08% 15.000 28.000 36.000 487.000 449.720 -0.939 80.000 1.23% 43.000 56.000 PCL5 36.385 0.103 0.000 2.33% 18.000 30.000 36.000 387.000 382.366 -0.691 80.000 1.03% 42.000 54.000 FAM1 49.960 -0.065 0.000 0.78% 30.952 45.238 50.000 637.000 448.409 -0.521 100.000 0.16% 54.762 69.048 FAM2 47.824 -0.055 0.000 2.40% 28.571 41.667 47.619 541.000 493.899 -0.524 100.000 0.18% 52.778 66.667 FAM3 47.304 -0.024 0.000 1.95% 28.571 40.476 47.619 512.000 521.036 -0.649 100.000 0.20% 52.381 69.048 FAM4 44.745 0.053 0.000 1.90% 23.810 38.095 45.238 473.000 492.268 -0.644 97.619 0.21% 52.381 64.286 FAM5 44.539 0.076 0.000 2.33% 23.810 38.095 42.857 386.000 489.315 -0.591 100.000 0.26% 50.000 64.286 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 35 Loglikelihood H0 Value -20680.585 H0 Scaling Correction Factor 0.8125 for MLR Information Criteria Akaike (AIC) 41431.170 Bayesian (BIC) 41591.102 Sample-Size Adjusted BIC 41479.968 (n* = (n + 2) / 24) MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value FS ON P -0.094 0.010 -9.601 0.000 FQ ON P -0.002 0.001 -1.931 0.054 PS -0.053 0.003 -18.427 0.000 PS ON F -0.120 0.011 -11.245 0.000 PQ ON F -0.001 0.001 -1.056 0.291 FS -0.044 0.003 -17.470 0.000 P WITH PS -6.031 3.276 -1.841 0.066 PQ -0.692 0.146 -4.745 0.000 F 377.463 70.591 5.347 0.000 F WITH FS -6.555 3.114 -2.105 0.035 FQ -0.600 0.125 -4.809 0.000 PS WITH FS 8.319 0.827 10.063 0.000 PQ WITH FQ -0.001 0.001 -1.506 0.132 Means P 48.898 2.880 16.977 0.000 F 51.979 2.735 19.007 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 4.893 0.765 6.393 0.000 PQ 0.094 0.067 1.406 0.160 FS 4.446 0.723 6.149 0.000 FQ 0.015 0.062 0.247 0.805 Variances P 546.292 85.458 6.393 0.000 F 398.824 62.263 6.405 0.000 Residual Variances PCL1 104.123 15.418 6.753 0.000 PCL2 72.418 7.762 9.330 0.000 PCL3 69.812 6.816 10.242 0.000 PCL4 106.844 10.957 9.752 0.000 PCL5 69.897 10.872 6.429 0.000 FAM1 197.583 16.110 12.265 0.000 FAM2 174.180 13.878 12.551 0.000 FAM3 185.023 14.374 12.872 0.000 FAM4 212.037 18.124 11.699 0.000 FAM5 138.853 19.159 7.247 0.000 PS 8.604 0.865 9.951 0.000 PQ 0.008 0.002 4.793 0.000 FS 10.018 0.995 10.070 0.000 FQ 0.008 0.001 5.523 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.421E-08 (ratio of smallest to largest eigenvalue) #Parallel Process Model - IPF Friendship: Male 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 PQ | PCL1 PCL2 PCL3 PCL4 PCL5 at TSD1 TSD2 TSD3 TSD4 TSD5; F FS FQ | Fnd1 Fnd2 Fnd3 Fnd4 Fnd5 at TSD1 TSD2 TSD3 TSD4 TSD5; P with PS PQ; F with FS FQ; P with F; PS with FS; PQ with FQ; FS FQ on P; PS PQ on F; FQ on PS; PQ on FS; SUMMARY OF ANALYSIS Number of groups 1 Number of observations 713 Number of dependent variables 10 Number of independent variables 0 Number of continuous latent variables 6 Observed dependent variables Continuous PCL1 PCL2 PCL3 PCL4 PCL5 FND1 FND2 FND3 FND4 FND5 Continuous latent variables P PS PQ 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_Male_missing_999_entered.csv Input data format FREE SUMMARY OF DATA Number of missing data patterns 216 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage PCL1 PCL2 PCL3 PCL4 PCL5 ________ ________ ________ ________ ________ PCL1 0.613 PCL2 0.446 0.776 PCL3 0.463 0.658 0.780 PCL4 0.398 0.583 0.613 0.683 PCL5 0.323 0.466 0.475 0.445 0.543 FND1 0.489 0.630 0.642 0.560 0.447 FND2 0.396 0.630 0.581 0.515 0.412 FND3 0.369 0.546 0.602 0.515 0.388 FND4 0.324 0.480 0.504 0.519 0.373 FND5 0.276 0.412 0.421 0.386 0.432 Covariance Coverage FND1 FND2 FND3 FND4 FND5 ________ ________ ________ ________ ________ FND1 0.805 FND2 0.592 0.680 FND3 0.562 0.536 0.642 FND4 0.498 0.477 0.480 0.567 FND5 0.408 0.384 0.376 0.360 0.474 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 42.465 -0.266 0.000 0.46% 24.000 40.000 43.000 437.000 366.528 -0.780 80.000 0.69% 50.000 61.000 PCL2 40.013 -0.163 0.000 1.08% 19.000 36.000 42.000 553.000 407.745 -0.933 80.000 1.27% 47.000 59.000 PCL3 40.027 -0.090 0.000 1.62% 20.000 35.000 41.000 556.000 417.310 -0.883 80.000 1.44% 47.000 58.000 PCL4 35.643 0.091 0.000 3.08% 15.000 28.000 36.000 487.000 449.720 -0.939 80.000 1.23% 43.000 56.000 PCL5 36.385 0.103 0.000 2.33% 18.000 30.000 36.000 387.000 382.366 -0.691 80.000 1.03% 42.000 54.000 FND1 44.972 -0.079 0.000 0.87% 25.000 41.667 45.833 574.000 402.064 -0.478 95.833 0.17% 50.000 62.500 FND2 40.985 0.035 0.000 2.27% 22.917 35.417 41.667 485.000 382.215 -0.384 97.917 0.21% 47.917 58.333 FND3 41.179 0.052 0.000 2.40% 20.833 35.417 41.667 458.000 423.450 -0.506 100.000 0.22% 47.917 60.417 FND4 38.565 0.116 0.000 1.98% 20.833 33.333 39.583 404.000 374.501 -0.529 95.833 0.25% 43.750 56.250 FND5 37.341 0.092 0.000 3.85% 18.750 31.250 37.500 338.000 398.869 -0.461 97.917 0.30% 43.750 54.167 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 35 Loglikelihood H0 Value -19101.274 H0 Scaling Correction Factor 0.8283 for MLR Information Criteria Akaike (AIC) 38272.547 Bayesian (BIC) 38432.479 Sample-Size Adjusted BIC 38321.345 (n* = (n + 2) / 24) MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value FS ON P -0.118 0.006 -19.217 0.000 FQ ON P -0.001 0.001 -1.129 0.259 PS -0.040 0.002 -18.748 0.000 PS ON F -0.117 0.011 -11.133 0.000 PQ ON F -0.004 0.001 -3.826 0.000 FS -0.063 0.003 -21.586 0.000 P WITH PS -26.004 6.723 -3.868 0.000 PQ -0.565 0.118 -4.781 0.000 F 473.149 89.749 5.272 0.000 F WITH FS -0.807 3.015 -0.268 0.789 FQ -0.240 0.037 -6.561 0.000 PS WITH FS 8.338 0.759 10.987 0.000 PQ WITH FQ 0.000 0.001 0.421 0.674 Means P 49.022 2.884 16.998 0.000 F 55.258 2.701 20.456 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 5.154 0.786 6.553 0.000 PQ 0.140 0.063 2.215 0.027 FS 4.057 0.586 6.923 0.000 FQ 0.037 0.043 0.851 0.395 Variances P 678.649 97.488 6.961 0.000 F 471.185 88.707 5.312 0.000 Residual Variances PCL1 101.673 14.877 6.834 0.000 PCL2 75.061 8.078 9.292 0.000 PCL3 68.807 6.816 10.094 0.000 PCL4 104.696 10.480 9.990 0.000 PCL5 58.427 11.368 5.139 0.000 FND1 167.717 18.155 9.238 0.000 FND2 129.829 11.530 11.260 0.000 FND3 99.937 10.066 9.928 0.000 FND4 117.559 12.965 9.068 0.000 FND5 141.636 15.252 9.286 0.000 PS 14.855 1.504 9.878 0.000 PQ 0.011 0.002 4.582 0.000 FS 6.922 0.687 10.076 0.000 FQ 0.004 0.000 8.384 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.412E-09 (ratio of smallest to largest eigenvalue) #Parallel Process Model - IPF Romantic Relationships: Male 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 PQ | PCL1 PCL2 PCL3 PCL4 PCL5 at TSD1 TSD2 TSD3 TSD4 TSD5; F FS FQ | Rom1 Rom2 Rom3 Rom4 Rom5 at TSD1 TSD2 TSD3 TSD4 TSD5; P with PS PQ; F with FS FQ; P with F; PS with FS; PQ with FQ; FS FQ on P; PS PQ on F; FQ on PS; PQ on FS; SUMMARY OF ANALYSIS Number of groups 1 Number of observations 713 Number of dependent variables 10 Number of independent variables 0 Number of continuous latent variables 6 Observed dependent variables Continuous PCL1 PCL2 PCL3 PCL4 PCL5 ROM1 ROM2 ROM3 ROM4 ROM5 Continuous latent variables P PS PQ 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_Male_missing_999_entered.csv Input data format FREE SUMMARY OF DATA Number of missing data patterns 232 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage PCL1 PCL2 PCL3 PCL4 PCL5 ________ ________ ________ ________ ________ PCL1 0.613 PCL2 0.446 0.776 PCL3 0.463 0.658 0.780 PCL4 0.398 0.583 0.613 0.683 PCL5 0.323 0.466 0.475 0.445 0.543 ROM1 0.415 0.518 0.523 0.467 0.381 ROM2 0.342 0.550 0.511 0.466 0.360 ROM3 0.348 0.515 0.579 0.495 0.384 ROM4 0.330 0.470 0.509 0.516 0.363 ROM5 0.275 0.398 0.408 0.391 0.419 Covariance Coverage ROM1 ROM2 ROM3 ROM4 ROM5 ________ ________ ________ ________ ________ ROM1 0.665 ROM2 0.478 0.600 ROM3 0.485 0.487 0.616 ROM4 0.438 0.440 0.480 0.567 ROM5 0.356 0.348 0.365 0.356 0.468 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 42.465 -0.266 0.000 0.46% 24.000 40.000 43.000 437.000 366.528 -0.780 80.000 0.69% 50.000 61.000 PCL2 40.013 -0.163 0.000 1.08% 19.000 36.000 42.000 553.000 407.745 -0.933 80.000 1.27% 47.000 59.000 PCL3 40.027 -0.090 0.000 1.62% 20.000 35.000 41.000 556.000 417.310 -0.883 80.000 1.44% 47.000 58.000 PCL4 35.643 0.091 0.000 3.08% 15.000 28.000 36.000 487.000 449.720 -0.939 80.000 1.23% 43.000 56.000 PCL5 36.385 0.103 0.000 2.33% 18.000 30.000 36.000 387.000 382.366 -0.691 80.000 1.03% 42.000 54.000 ROM1 39.961 0.200 0.000 1.05% 24.242 34.848 39.394 474.000 329.424 -0.145 100.000 0.21% 43.939 54.545 ROM2 35.783 0.300 0.000 2.57% 21.212 30.303 34.848 428.000 315.713 0.218 98.485 0.23% 40.909 50.000 ROM3 37.569 0.105 0.000 2.73% 19.697 33.333 37.879 439.000 346.778 -0.342 90.909 0.23% 42.424 53.030 ROM4 35.456 0.281 0.000 1.24% 18.182 28.333 34.848 404.000 342.699 -0.477 90.909 0.25% 40.909 51.515 ROM5 35.380 0.177 0.000 2.99% 18.182 30.303 34.848 334.000 341.404 -0.439 89.394 0.30% 39.394 51.515 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 35 Loglikelihood H0 Value -18282.802 H0 Scaling Correction Factor 0.8255 for MLR Information Criteria Akaike (AIC) 36635.604 Bayesian (BIC) 36795.536 Sample-Size Adjusted BIC 36684.403 (n* = (n + 2) / 24) MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value FS ON P -0.077 0.008 -9.665 0.000 FQ ON P -0.002 0.001 -2.285 0.022 PS -0.036 0.002 -18.097 0.000 PS ON F -0.107 0.013 -8.002 0.000 PQ ON F -0.004 0.001 -2.913 0.004 FS -0.059 0.003 -20.961 0.000 P WITH PS -16.699 4.290 -3.893 0.000 PQ -0.488 0.092 -5.326 0.000 F 306.270 64.159 4.774 0.000 F WITH FS 0.750 1.521 0.493 0.622 FQ -0.379 0.079 -4.773 0.000 PS WITH FS 6.803 0.706 9.631 0.000 PQ WITH FQ -0.001 0.000 -2.492 0.013 Means P 49.414 2.833 17.441 0.000 F 48.004 2.808 17.095 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 3.731 0.831 4.492 0.000 PQ 0.130 0.069 1.879 0.060 FS 2.183 0.704 3.099 0.002 FQ 0.095 0.049 1.952 0.051 Variances P 545.861 84.923 6.428 0.000 F 272.636 51.698 5.274 0.000 Residual Variances PCL1 102.950 15.609 6.595 0.000 PCL2 71.557 7.800 9.174 0.000 PCL3 69.968 6.905 10.133 0.000 PCL4 105.592 10.843 9.738 0.000 PCL5 74.705 11.707 6.381 0.000 ROM1 155.231 16.249 9.553 0.000 ROM2 117.895 14.973 7.874 0.000 ROM3 98.633 11.057 8.920 0.000 ROM4 108.307 11.845 9.144 0.000 ROM5 128.506 16.550 7.765 0.000 PS 10.812 1.120 9.651 0.000 PQ 0.005 0.001 5.928 0.000 FS 5.320 0.553 9.613 0.000 FQ 0.004 0.001 4.803 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.826E-09 (ratio of smallest to largest eigenvalue) #Parallel Process Model - IPF Work: Male 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 PQ | PCL1 PCL2 PCL3 PCL4 PCL5 at TSD1 TSD2 TSD3 TSD4 TSD5; F FS | Wrk1 Wrk2 Wrk3 Wrk4 Wrk5 at TSD1 TSD2 TSD3 TSD4 TSD5; F with FS; P with PS PQ; F with P; FS with PS; PS PQ on F; FS on P; PQ on FS; SUMMARY OF ANALYSIS Number of groups 1 Number of observations 713 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 WRK1 WRK2 WRK3 WRK4 WRK5 Continuous latent variables P PS PQ 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_Male_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 0.613 PCL2 0.446 0.776 PCL3 0.463 0.658 0.780 PCL4 0.398 0.583 0.613 0.683 PCL5 0.323 0.466 0.475 0.445 0.543 WRK1 0.417 0.522 0.522 0.463 0.384 WRK2 0.339 0.527 0.485 0.426 0.345 WRK3 0.316 0.459 0.509 0.425 0.325 WRK4 0.271 0.396 0.411 0.424 0.321 WRK5 0.217 0.330 0.337 0.316 0.351 Covariance Coverage WRK1 WRK2 WRK3 WRK4 WRK5 ________ ________ ________ ________ ________ WRK1 0.665 WRK2 0.460 0.568 WRK3 0.440 0.428 0.537 WRK4 0.386 0.369 0.380 0.467 WRK5 0.302 0.295 0.292 0.288 0.383 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 42.465 -0.266 0.000 0.46% 24.000 40.000 43.000 437.000 366.528 -0.780 80.000 0.69% 50.000 61.000 PCL2 40.013 -0.163 0.000 1.08% 19.000 36.000 42.000 553.000 407.745 -0.933 80.000 1.27% 47.000 59.000 PCL3 40.027 -0.090 0.000 1.62% 20.000 35.000 41.000 556.000 417.310 -0.883 80.000 1.44% 47.000 58.000 PCL4 35.643 0.091 0.000 3.08% 15.000 28.000 36.000 487.000 449.720 -0.939 80.000 1.23% 43.000 56.000 PCL5 36.385 0.103 0.000 2.33% 18.000 30.000 36.000 387.000 382.366 -0.691 80.000 1.03% 42.000 54.000 WRK1 28.277 0.771 0.000 1.27% 13.492 22.222 25.794 474.000 281.887 0.416 88.889 0.21% 29.365 41.270 WRK2 26.241 0.617 0.000 1.23% 13.492 20.635 24.603 405.000 202.478 0.525 83.333 0.25% 28.571 38.095 WRK3 25.395 0.448 0.000 3.66% 11.111 19.841 24.603 383.000 237.774 -0.206 77.500 0.26% 28.571 38.095 WRK4 24.745 0.631 0.000 2.10% 11.404 19.048 23.016 333.000 220.599 0.430 86.667 0.30% 27.778 37.302 WRK5 24.728 0.627 0.000 1.10% 11.111 18.254 22.807 273.000 230.250 0.111 85.088 0.37% 26.984 37.302 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 30 Loglikelihood H0 Value -17106.453 H0 Scaling Correction Factor 1.0070 for MLR Information Criteria Akaike (AIC) 34272.906 Bayesian (BIC) 34409.990 Sample-Size Adjusted BIC 34314.732 (n* = (n + 2) / 24) MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value PS ON F -0.029 0.028 -1.031 0.302 PQ ON F -0.005 0.002 -3.158 0.002 FS -0.072 0.007 -10.312 0.000 FS ON P -0.041 0.004 -11.000 0.000 F WITH FS -5.045 3.100 -1.628 0.104 P 230.741 47.411 4.867 0.000 P WITH PS -37.456 17.391 -2.154 0.031 PQ 0.030 0.471 0.063 0.949 FS WITH PS 0.975 0.323 3.021 0.003 PQ WITH PS -0.245 0.129 -1.896 0.058 Means P 48.887 2.842 17.199 0.000 F 31.109 1.244 25.011 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 -0.416 1.055 -0.394 0.694 PQ 0.180 0.059 3.073 0.002 FS 1.637 0.224 7.298 0.000 Variances P 536.724 86.740 6.188 0.000 F 277.051 43.234 6.408 0.000 Residual Variances PCL1 103.548 15.483 6.688 0.000 PCL2 72.323 8.115 8.912 0.000 PCL3 69.365 6.817 10.175 0.000 PCL4 105.089 10.962 9.587 0.000 PCL5 72.390 11.591 6.246 0.000 WRK1 134.661 14.373 9.369 0.000 WRK2 65.825 8.552 7.697 0.000 WRK3 78.219 9.723 8.045 0.000 WRK4 77.185 9.146 8.439 0.000 WRK5 64.117 13.047 4.914 0.000 PS 12.276 4.064 3.021 0.003 PQ 0.013 0.004 3.002 0.003 FS 0.729 0.223 3.263 0.001 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.317E-08 (ratio of smallest to largest eigenvalue) #Parallel Process Model - IPF Parenting: Male 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 PQ | PCL1 PCL2 PCL3 PCL4 PCL5 at TSD1 TSD2 TSD3 TSD4 TSD5; F FS FQ | Par1 Par2 Par3 Par4 Par5 at TSD1 TSD2 TSD3 TSD4 TSD5; P with PS PQ; F with FS FQ; P with F; PS with FS; PQ with FQ; FS FQ on P; PS PQ on F; FQ on PS; PQ on FS; SUMMARY OF ANALYSIS Number of groups 1 Number of observations 713 Number of dependent variables 10 Number of independent variables 0 Number of continuous latent variables 6 Observed dependent variables Continuous PCL1 PCL2 PCL3 PCL4 PCL5 PAR1 PAR2 PAR3 PAR4 PAR5 Continuous latent variables P PS PQ 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_Male_missing_999_entered.csv Input data format FREE SUMMARY OF DATA Number of missing data patterns 206 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage PCL1 PCL2 PCL3 PCL4 PCL5 ________ ________ ________ ________ ________ PCL1 0.613 PCL2 0.446 0.776 PCL3 0.463 0.658 0.780 PCL4 0.398 0.583 0.613 0.683 PCL5 0.323 0.466 0.475 0.445 0.543 PAR1 0.387 0.498 0.519 0.452 0.362 PAR2 0.316 0.540 0.508 0.446 0.346 PAR3 0.334 0.488 0.553 0.459 0.349 PAR4 0.297 0.447 0.491 0.487 0.339 PAR5 0.257 0.380 0.390 0.366 0.411 Covariance Coverage PAR1 PAR2 PAR3 PAR4 PAR5 ________ ________ ________ ________ ________ PAR1 0.649 PAR2 0.496 0.586 PAR3 0.481 0.495 0.579 PAR4 0.438 0.442 0.459 0.533 PAR5 0.355 0.344 0.346 0.348 0.446 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 42.465 -0.266 0.000 0.46% 24.000 40.000 43.000 437.000 366.528 -0.780 80.000 0.69% 50.000 61.000 PCL2 40.013 -0.163 0.000 1.08% 19.000 36.000 42.000 553.000 407.745 -0.933 80.000 1.27% 47.000 59.000 PCL3 40.027 -0.090 0.000 1.62% 20.000 35.000 41.000 556.000 417.310 -0.883 80.000 1.44% 47.000 58.000 PCL4 35.643 0.091 0.000 3.08% 15.000 28.000 36.000 487.000 449.720 -0.939 80.000 1.23% 43.000 56.000 PCL5 36.385 0.103 0.000 2.33% 18.000 30.000 36.000 387.000 382.366 -0.691 80.000 1.03% 42.000 54.000 PAR1 30.602 0.408 0.000 6.05% 13.333 21.667 28.333 463.000 401.222 -0.607 93.333 0.22% 35.000 48.333 PAR2 28.059 0.487 0.000 7.66% 10.000 21.667 26.667 418.000 375.392 -0.382 85.000 0.48% 31.667 46.667 PAR3 28.384 0.514 0.000 6.54% 9.259 20.000 26.667 413.000 395.886 -0.333 95.000 0.24% 31.667 46.667 PAR4 28.186 0.645 0.000 8.68% 10.000 20.000 25.833 380.000 405.526 0.081 93.333 0.26% 31.667 45.000 PAR5 26.411 0.732 0.000 7.23% 8.333 18.333 25.000 318.000 372.160 0.361 98.333 0.31% 30.000 41.667 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 35 Loglikelihood H0 Value -18026.950 H0 Scaling Correction Factor 0.7928 for MLR Information Criteria Akaike (AIC) 36123.899 Bayesian (BIC) 36283.831 Sample-Size Adjusted BIC 36172.697 (n* = (n + 2) / 24) MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value FS ON P -0.032 0.010 -3.224 0.001 FQ ON P -0.004 0.001 -3.959 0.000 PS -0.043 0.003 -14.491 0.000 PS ON F -0.081 0.014 -5.729 0.000 PQ ON F -0.001 0.001 -0.974 0.330 FS -0.047 0.003 -18.593 0.000 P WITH PS -14.855 3.336 -4.452 0.000 PQ -0.475 0.072 -6.556 0.000 F 172.656 34.941 4.941 0.000 F WITH FS 0.683 1.092 0.625 0.532 FQ -0.738 0.138 -5.331 0.000 PS WITH FS 7.166 0.900 7.964 0.000 PQ WITH FQ -0.001 0.000 -4.189 0.000 Means P 47.879 2.791 17.156 0.000 F 34.971 2.596 13.469 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 1.696 0.700 2.421 0.015 PQ 0.032 0.054 0.592 0.554 FS 0.558 0.671 0.831 0.406 FQ 0.155 0.049 3.163 0.002 Variances P 436.461 60.948 7.161 0.000 F 206.937 28.896 7.162 0.000 Residual Variances PCL1 104.110 15.189 6.854 0.000 PCL2 71.630 7.794 9.190 0.000 PCL3 71.517 7.043 10.154 0.000 PCL4 107.760 10.931 9.859 0.000 PCL5 70.985 11.198 6.339 0.000 PAR1 164.601 16.103 10.222 0.000 PAR2 122.308 12.961 9.437 0.000 PAR3 108.887 12.941 8.414 0.000 PAR4 105.526 11.781 8.957 0.000 PAR5 95.914 16.116 5.952 0.000 PS 8.895 0.936 9.508 0.000 PQ 0.003 0.000 7.948 0.000 FS 6.977 0.933 7.482 0.000 FQ 0.006 0.001 5.534 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.101E-08 (ratio of smallest to largest eigenvalue) #Parallel Process Model - IPF Education: Male 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 PQ | PCL1 PCL2 PCL3 PCL4 PCL5 at TSD1 TSD2 TSD3 TSD4 TSD5; F FS FQ | Edu1 Edu2 Edu3 Edu4 Edu5 at TSD1 TSD2 TSD3 TSD4 TSD5; P with PS PQ; F with FS FQ; P with F; PS with FS; PQ with FQ; FS FQ on P; PS PQ on F; FQ on PS; PQ on FS; SUMMARY OF ANALYSIS Number of groups 1 Number of observations 713 Number of dependent variables 10 Number of independent variables 0 Number of continuous latent variables 6 Observed dependent variables Continuous PCL1 PCL2 PCL3 PCL4 PCL5 EDU1 EDU2 EDU3 EDU4 EDU5 Continuous latent variables P PS PQ 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_Male_missing_999_entered.csv Input data format FREE SUMMARY OF DATA Number of missing data patterns 208 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage PCL1 PCL2 PCL3 PCL4 PCL5 ________ ________ ________ ________ ________ PCL1 0.613 PCL2 0.446 0.776 PCL3 0.463 0.658 0.780 PCL4 0.398 0.583 0.613 0.683 PCL5 0.323 0.466 0.475 0.445 0.543 EDU1 0.189 0.231 0.244 0.222 0.175 EDU2 0.135 0.208 0.201 0.178 0.142 EDU3 0.108 0.165 0.177 0.150 0.128 EDU4 0.065 0.119 0.116 0.118 0.101 EDU5 0.052 0.086 0.079 0.081 0.088 Covariance Coverage EDU1 EDU2 EDU3 EDU4 EDU5 ________ ________ ________ ________ ________ EDU1 0.310 EDU2 0.105 0.231 EDU3 0.093 0.111 0.194 EDU4 0.058 0.062 0.069 0.133 EDU5 0.038 0.039 0.038 0.042 0.097 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 42.465 -0.266 0.000 0.46% 24.000 40.000 43.000 437.000 366.528 -0.780 80.000 0.69% 50.000 61.000 PCL2 40.013 -0.163 0.000 1.08% 19.000 36.000 42.000 553.000 407.745 -0.933 80.000 1.27% 47.000 59.000 PCL3 40.027 -0.090 0.000 1.62% 20.000 35.000 41.000 556.000 417.310 -0.883 80.000 1.44% 47.000 58.000 PCL4 35.643 0.091 0.000 3.08% 15.000 28.000 36.000 487.000 449.720 -0.939 80.000 1.23% 43.000 56.000 PCL5 36.385 0.103 0.000 2.33% 18.000 30.000 36.000 387.000 382.366 -0.691 80.000 1.03% 42.000 54.000 EDU1 32.322 0.460 0.000 0.45% 15.556 24.444 30.000 221.000 323.245 -0.523 76.667 0.45% 35.556 48.889 EDU2 29.208 0.779 0.000 1.21% 13.333 20.000 24.444 165.000 364.380 -0.111 74.444 0.61% 30.000 43.333 EDU3 29.936 0.575 0.000 2.90% 11.111 22.222 24.444 138.000 384.188 -0.508 78.889 0.72% 31.111 47.436 EDU4 33.187 0.517 0.000 3.16% 13.333 25.556 31.111 95.000 417.993 -0.480 80.000 1.05% 35.556 50.000 EDU5 27.396 0.857 0.000 5.80% 11.111 22.222 25.556 69.000 333.313 0.557 74.444 1.45% 28.889 38.889 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 35 Loglikelihood H0 Value -12727.730 H0 Scaling Correction Factor 0.8293 for MLR Information Criteria Akaike (AIC) 25525.460 Bayesian (BIC) 25685.392 Sample-Size Adjusted BIC 25574.258 (n* = (n + 2) / 24) MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value FS ON P -0.194 0.018 -11.015 0.000 FQ ON P 0.003 0.002 1.733 0.083 PS -0.092 0.004 -24.823 0.000 PS ON F -0.079 0.008 -9.431 0.000 PQ ON F -0.005 0.001 -5.867 0.000 FS -0.034 0.003 -13.072 0.000 P WITH PS 11.241 1.050 10.708 0.000 PQ -0.454 0.062 -7.335 0.000 F 483.436 37.318 12.954 0.000 F WITH FS -37.820 2.911 -12.990 0.000 FQ -1.351 0.211 -6.418 0.000 PS WITH FS 8.221 0.798 10.307 0.000 PQ WITH FQ -0.007 0.001 -6.889 0.000 Means P 46.186 2.744 16.831 0.000 F 38.664 4.465 8.659 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 2.275 0.588 3.870 0.000 PQ 0.168 0.044 3.819 0.000 FS 7.797 1.487 5.244 0.000 FQ -0.150 0.099 -1.517 0.129 Variances P 452.501 36.655 12.345 0.000 F 682.486 44.209 15.438 0.000 Residual Variances PCL1 107.900 15.930 6.774 0.000 PCL2 72.080 8.006 9.003 0.000 PCL3 69.944 6.950 10.064 0.000 PCL4 111.065 11.447 9.703 0.000 PCL5 74.772 12.024 6.219 0.000 EDU1 119.263 23.954 4.979 0.000 EDU2 159.470 30.432 5.240 0.000 EDU3 162.182 46.054 3.522 0.000 EDU4 213.386 61.267 3.483 0.000 EDU5 64.650 65.733 0.984 0.325 PS 4.042 0.405 9.991 0.000 PQ 0.004 0.001 8.199 0.000 FS 21.059 1.819 11.577 0.000 FQ 0.023 0.003 6.677 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.107E-07 (ratio of smallest to largest eigenvalue) #Parallel Process Model - IPF Self Care: Male 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 PQ | 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 PQ; F with FS FQ; P with F; PS with FS; PQ with FQ; FS FQ on P; PS PQ on F; FQ on PS; PQ on FS; SUMMARY OF ANALYSIS Number of groups 1 Number of observations 713 Number of dependent variables 10 Number of independent variables 0 Number of continuous latent variables 6 Observed dependent variables Continuous PCL1 PCL2 PCL3 PCL4 PCL5 SLF1 SLF2 SLF3 SLF4 SLF5 Continuous latent variables P PS PQ 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_Male_missing_999_entered.csv Input data format FREE SUMMARY OF DATA Number of missing data patterns 100 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage PCL1 PCL2 PCL3 PCL4 PCL5 ________ ________ ________ ________ ________ PCL1 0.613 PCL2 0.446 0.776 PCL3 0.463 0.658 0.780 PCL4 0.398 0.583 0.613 0.683 PCL5 0.323 0.466 0.475 0.445 0.543 SLF1 0.607 0.752 0.759 0.665 0.527 SLF2 0.477 0.767 0.705 0.621 0.485 SLF3 0.484 0.696 0.774 0.644 0.496 SLF4 0.433 0.630 0.665 0.676 0.485 SLF5 0.353 0.508 0.519 0.487 0.540 Covariance Coverage SLF1 SLF2 SLF3 SLF4 SLF5 ________ ________ ________ ________ ________ SLF1 0.972 SLF2 0.805 0.829 SLF3 0.802 0.749 0.825 SLF4 0.719 0.677 0.700 0.745 SLF5 0.576 0.533 0.543 0.534 0.596 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 42.465 -0.266 0.000 0.46% 24.000 40.000 43.000 437.000 366.528 -0.780 80.000 0.69% 50.000 61.000 PCL2 40.013 -0.163 0.000 1.08% 19.000 36.000 42.000 553.000 407.745 -0.933 80.000 1.27% 47.000 59.000 PCL3 40.027 -0.090 0.000 1.62% 20.000 35.000 41.000 556.000 417.310 -0.883 80.000 1.44% 47.000 58.000 PCL4 35.643 0.091 0.000 3.08% 15.000 28.000 36.000 487.000 449.720 -0.939 80.000 1.23% 43.000 56.000 PCL5 36.385 0.103 0.000 2.33% 18.000 30.000 36.000 387.000 382.366 -0.691 80.000 1.03% 42.000 54.000 SLF1 47.496 -0.047 0.000 0.14% 29.167 41.667 47.917 693.000 398.387 -0.650 97.619 0.14% 54.167 64.583 SLF2 45.600 -0.066 0.000 0.34% 29.167 41.667 45.833 591.000 343.025 -0.296 97.917 0.17% 50.000 60.417 SLF3 46.538 -0.068 0.000 0.51% 29.167 41.667 47.917 588.000 378.921 -0.464 95.833 0.17% 52.083 62.500 SLF4 44.302 0.035 0.000 0.56% 25.000 39.583 45.833 531.000 389.523 -0.459 95.833 0.19% 50.000 60.417 SLF5 43.076 0.014 2.083 0.24% 25.000 37.500 43.750 425.000 368.089 -0.588 93.750 0.24% 50.000 58.333 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 35 Loglikelihood H0 Value -21218.708 H0 Scaling Correction Factor 0.8321 for MLR Information Criteria Akaike (AIC) 42507.415 Bayesian (BIC) 42667.347 Sample-Size Adjusted BIC 42556.213 (n* = (n + 2) / 24) MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value FS ON P -0.062 0.007 -9.163 0.000 FQ ON P -0.003 0.001 -3.578 0.000 PS -0.041 0.002 -17.506 0.000 PS ON F -0.107 0.009 -11.390 0.000 PQ ON F -0.002 0.001 -2.093 0.036 FS -0.059 0.004 -16.617 0.000 P WITH PS -10.647 4.746 -2.243 0.025 PQ -0.445 0.086 -5.157 0.000 F 297.737 57.314 5.195 0.000 F WITH FS -5.107 2.932 -1.742 0.082 FQ -0.241 0.052 -4.685 0.000 PS WITH FS 7.710 0.865 8.915 0.000 PQ WITH FQ 0.001 0.001 1.862 0.063 Means P 48.130 2.801 17.183 0.000 F 50.711 2.309 21.958 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 4.246 0.736 5.770 0.000 PQ 0.111 0.061 1.826 0.068 FS 2.490 0.532 4.679 0.000 FQ 0.078 0.041 1.903 0.057 Variances P 491.737 74.286 6.620 0.000 F 305.973 53.518 5.717 0.000 Residual Variances PCL1 100.772 14.931 6.749 0.000 PCL2 73.341 7.884 9.303 0.000 PCL3 70.590 6.948 10.160 0.000 PCL4 106.241 10.689 9.939 0.000 PCL5 59.377 11.400 5.209 0.000 SLF1 154.606 12.482 12.386 0.000 SLF2 100.535 8.272 12.153 0.000 SLF3 104.425 8.477 12.319 0.000 SLF4 112.070 9.098 12.318 0.000 SLF5 101.249 12.377 8.181 0.000 PS 10.332 1.160 8.907 0.000 PQ 0.007 0.001 4.997 0.000 FS 7.192 0.789 9.114 0.000 FQ 0.004 0.001 5.241 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.460E-08 (ratio of smallest to largest eigenvalue)