Mplus VERSION 8 (Mac) MUTHEN & MUTHEN 12/28/2018 1:43 PM INPUT INSTRUCTIONS Title: Supplemental material, results for Figure 1. Data: File is C:/Users/hsalch/MINDS_a1.dat ; Variable: Names are idnummer B59c B60c B61c B62c B63c B64c C52c C53c C54c C55c C56c C57c D59c D60c D61c D62c D63c D64c B66hc B66ic B66kc B66lc B66mc B66nc C59hc C59ic C59kc C59lc C59mc C59nc D73hc D73ic D73lc D73mc D73nc D73oc BSTB_CE CSTB_CE DSTB_CE ; Missing are . ; Usevariables = BSTB_CE M1 M2 M3 P1 P2 P3; Define: M1 = B66hc + B66ic + B66kc + B66lc + B66mc + B66nc; !Morality, Time 1 M2 = C59hc + C59ic + C59kc + C59lc + C59mc + C59nc; !Morality, Time 2 M3 = D73hc + D73ic + D73lc + D73mc + D73nc + D73oc; !Morality, Time 3 P1 = B59c + B60c + B61c + B62c + B63c + B64c; !Delinquent peer association (DPA), Time1 P2 = C52c + C53c + C54c + C55c + C56c + C57c; !DPA, Time 2 P3 = D59c + D60c + D61c + D62c + D63c + D64c; !DPA, Time 3 Analysis: Estimator = MLR; Model: ! LGM for Delinquent peer association and Morality IP SP | P1@0 P2@1 P3@3; ! Intercept (IP) and slope (SP) for Delinq. peer association IM SM | M1@0 M2@1 M3@3; ! Intercept (IM) and slope (SM) for Morality ! Path model SP ON IM; SM ON IP; SP ON IP; SM ON IM; SM ON SP; IM IP WITH BSTB_CE; Output: Stdyx Tech4 sampstat; INPUT READING TERMINATED NORMALLY Supplemental material, results for Figure 1. SUMMARY OF ANALYSIS Number of groups 1 Number of observations 386 Number of dependent variables 7 Number of independent variables 0 Number of continuous latent variables 4 Observed dependent variables Continuous BSTB_CE M1 M2 M3 P1 P2 P3 Continuous latent variables IP SP IM SM Estimator MLR Information matrix OBSERVED Maximum number of iterations 1000 Convergence criterion 0.500D-04 Maximum number of steepest descent iterations 20 Maximum number of iterations for H1 2000 Convergence criterion for H1 0.100D-03 Input data file(s) C:/Users/hsalch/MINDS_a1.dat Input data format FREE SUMMARY OF DATA Number of missing data patterns 10 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage BSTB_CE M1 M2 M3 P1 ________ ________ ________ ________ ________ BSTB_CE 0.997 M1 0.977 0.977 M2 0.977 0.956 0.979 M3 0.979 0.959 0.961 0.982 P1 0.966 0.951 0.946 0.948 0.966 P2 0.987 0.969 0.969 0.972 0.956 P3 0.992 0.972 0.974 0.977 0.961 Covariance Coverage P2 P3 ________ ________ P2 0.990 P3 0.984 0.995 SAMPLE STATISTICS ESTIMATED SAMPLE STATISTICS Means BSTB_CE M1 M2 M3 P1 ________ ________ ________ ________ ________ 0.628 12.107 11.548 10.341 3.166 Means P2 P3 ________ ________ 3.782 4.526 Covariances BSTB_CE M1 M2 M3 P1 ________ ________ ________ ________ ________ BSTB_CE 2.275 M1 -1.027 13.205 M2 -0.509 7.958 11.141 M3 -0.582 6.859 7.590 12.785 P1 0.991 -5.761 -4.245 -3.754 9.433 P2 0.668 -4.894 -4.587 -4.309 6.035 P3 0.636 -4.134 -3.679 -5.085 4.403 Covariances P2 P3 ________ ________ P2 9.022 P3 5.301 8.080 Correlations BSTB_CE M1 M2 M3 P1 ________ ________ ________ ________ ________ BSTB_CE 1.000 M1 -0.187 1.000 M2 -0.101 0.656 1.000 M3 -0.108 0.528 0.636 1.000 P1 0.214 -0.516 -0.414 -0.342 1.000 P2 0.147 -0.448 -0.458 -0.401 0.654 P3 0.148 -0.400 -0.388 -0.500 0.504 Correlations P2 P3 ________ ________ P2 1.000 P3 0.621 1.000 MAXIMUM LOG-LIKELIHOOD VALUE FOR THE UNRESTRICTED (H1) MODEL IS -6071.013 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 BSTB_CE 0.629 2.966 0.000 78.96% 0.000 0.000 0.000 385.000 2.275 10.107 11.000 0.26% 0.000 1.000 M1 12.138 -0.679 0.000 0.27% 9.000 12.000 13.000 377.000 13.281 0.047 18.000 3.71% 14.000 15.000 M2 11.545 -0.602 0.000 0.53% 9.000 11.000 12.000 378.000 11.110 0.296 18.000 1.32% 13.000 14.000 M3 10.332 -0.245 0.000 0.26% 7.000 10.000 11.000 379.000 12.829 -0.429 18.000 1.85% 12.000 13.000 P1 3.169 1.498 0.000 17.96% 1.000 2.000 2.000 373.000 9.454 2.604 16.000 0.54% 3.000 5.000 P2 3.777 1.196 0.000 7.07% 1.000 2.000 3.000 382.000 9.042 1.409 17.000 0.26% 4.000 6.000 P3 4.516 0.756 0.000 1.82% 2.000 3.000 4.000 384.000 8.078 0.043 15.000 0.26% 5.000 7.000 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 24 Loglikelihood H0 Value -6080.126 H0 Scaling Correction Factor 1.4696 for MLR H1 Value -6071.013 H1 Scaling Correction Factor 1.3956 for MLR Information Criteria Akaike (AIC) 12208.252 Bayesian (BIC) 12303.192 Sample-Size Adjusted BIC 12227.043 (n* = (n + 2) / 24) Chi-Square Test of Model Fit Value 14.768* Degrees of Freedom 11 P-Value 0.1934 Scaling Correction Factor 1.2342 for MLR * The chi-square value for MLM, MLMV, MLR, ULSMV, WLSM and WLSMV cannot be used for chi-square difference testing in the regular way. MLM, MLR and WLSM chi-square difference testing is described on the Mplus website. MLMV, WLSMV, and ULSMV difference testing is done using the DIFFTEST option. RMSEA (Root Mean Square Error Of Approximation) Estimate 0.030 90 Percent C.I. 0.000 0.065 Probability RMSEA <= .05 0.797 CFI/TLI CFI 0.995 TLI 0.991 Chi-Square Test of Model Fit for the Baseline Model Value 793.772 Degrees of Freedom 21 P-Value 0.0000 SRMR (Standardized Root Mean Square Residual) Value 0.029 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value IP | P1 1.000 0.000 999.000 999.000 P2 1.000 0.000 999.000 999.000 P3 1.000 0.000 999.000 999.000 SP | P1 0.000 0.000 999.000 999.000 P2 1.000 0.000 999.000 999.000 P3 3.000 0.000 999.000 999.000 IM | M1 1.000 0.000 999.000 999.000 M2 1.000 0.000 999.000 999.000 M3 1.000 0.000 999.000 999.000 SM | M1 0.000 0.000 999.000 999.000 M2 1.000 0.000 999.000 999.000 M3 3.000 0.000 999.000 999.000 SP ON IM -0.023 0.035 -0.673 0.501 IP -0.137 0.046 -2.990 0.003 SM ON IP -0.049 0.050 -0.982 0.326 IM -0.079 0.050 -1.598 0.110 SP -0.572 0.179 -3.193 0.001 IM WITH BSTB_CE -0.836 0.310 -2.695 0.007 IP -5.377 0.694 -7.746 0.000 IP WITH BSTB_CE 0.923 0.304 3.037 0.002 Means BSTB_CE 0.629 0.077 8.176 0.000 IP 3.231 0.153 21.088 0.000 IM 12.120 0.174 69.688 0.000 Intercepts M1 0.000 0.000 999.000 999.000 M2 0.000 0.000 999.000 999.000 M3 0.000 0.000 999.000 999.000 P1 0.000 0.000 999.000 999.000 P2 0.000 0.000 999.000 999.000 P3 0.000 0.000 999.000 999.000 SP 1.159 0.548 2.117 0.034 SM 0.778 0.757 1.028 0.304 Variances BSTB_CE 2.275 0.403 5.640 0.000 IP 6.840 0.965 7.089 0.000 IM 8.772 1.026 8.553 0.000 Residual Variances M1 4.014 0.716 5.607 0.000 M2 3.780 0.442 8.554 0.000 M3 2.237 1.150 1.946 0.052 P1 2.564 0.585 4.379 0.000 P2 3.257 0.469 6.950 0.000 P3 1.101 0.941 1.169 0.242 SP 0.458 0.129 3.552 0.000 SM 0.459 0.179 2.560 0.010 STANDARDIZED MODEL RESULTS STDYX Standardization Two-Tailed Estimate S.E. Est./S.E. P-Value IP | P1 0.853 0.034 25.394 0.000 P2 0.870 0.043 20.130 0.000 P3 0.919 0.068 13.612 0.000 SP | P1 0.000 0.000 999.000 999.000 P2 0.248 0.034 7.385 0.000 P3 0.787 0.120 6.570 0.000 IM | M1 0.828 0.033 24.767 0.000 M2 0.864 0.031 28.321 0.000 M3 0.833 0.046 18.017 0.000 SM | M1 0.000 0.000 999.000 999.000 M2 0.239 0.036 6.663 0.000 M3 0.692 0.108 6.381 0.000 SP ON IM -0.092 0.131 -0.705 0.481 IP -0.479 0.134 -3.563 0.000 SM ON IP -0.157 0.153 -1.028 0.304 IM -0.286 0.164 -1.741 0.082 SP -0.520 0.117 -4.449 0.000 IM WITH BSTB_CE -0.187 0.060 -3.113 0.002 IP -0.694 0.053 -13.192 0.000 IP WITH BSTB_CE 0.234 0.063 3.691 0.000 Means BSTB_CE 0.417 0.027 15.192 0.000 IP 1.236 0.073 16.968 0.000 IM 4.092 0.267 15.339 0.000 Intercepts M1 0.000 0.000 999.000 999.000 M2 0.000 0.000 999.000 999.000 M3 0.000 0.000 999.000 999.000 P1 0.000 0.000 999.000 999.000 P2 0.000 0.000 999.000 999.000 P3 0.000 0.000 999.000 999.000 SP 1.553 0.623 2.492 0.013 SM 0.949 0.841 1.128 0.259 Variances BSTB_CE 1.000 0.000 999.000 999.000 IP 1.000 0.000 999.000 999.000 IM 1.000 0.000 999.000 999.000 Residual Variances M1 0.314 0.055 5.667 0.000 M2 0.322 0.032 10.039 0.000 M3 0.177 0.092 1.922 0.055 P1 0.273 0.057 4.759 0.000 P2 0.361 0.041 8.860 0.000 P3 0.136 0.115 1.181 0.238 SP 0.823 0.079 10.373 0.000 SM 0.681 0.106 6.426 0.000 R-SQUARE Observed Two-Tailed Variable Estimate S.E. Est./S.E. P-Value M1 0.686 0.055 12.383 0.000 M2 0.678 0.032 21.181 0.000 M3 0.823 0.092 8.954 0.000 P1 0.727 0.057 12.697 0.000 P2 0.639 0.041 15.715 0.000 P3 0.864 0.115 7.500 0.000 Latent Two-Tailed Variable Estimate S.E. Est./S.E. P-Value SP 0.177 0.079 2.225 0.026 SM 0.319 0.106 3.004 0.003 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.770E-05 (ratio of smallest to largest eigenvalue) TECHNICAL 4 OUTPUT ESTIMATES DERIVED FROM THE MODEL ESTIMATED MEANS FOR THE LATENT VARIABLES IP SP IM SM BSTB_CE ________ ________ ________ ________ ________ 3.231 0.436 12.120 -0.592 0.629 S.E. FOR ESTIMATED MEANS FOR THE LATENT VARIABLES IP SP IM SM BSTB_CE ________ ________ ________ ________ ________ 0.153 0.050 0.174 0.059 0.077 EST./S.E. FOR ESTIMATED MEANS FOR THE LATENT VARIABLES IP SP IM SM BSTB_CE ________ ________ ________ ________ ________ 21.088 8.723 69.688 -10.109 8.176 TWO-TAILED P-VALUE FOR ESTIMATED MEANS FOR THE LATENT VARIABLES IP SP IM SM BSTB_CE ________ ________ ________ ________ ________ 0.000 0.000 0.000 0.000 0.000 ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES IP SP IM SM BSTB_CE ________ ________ ________ ________ ________ IP 6.840 SP -0.810 0.557 IM -5.377 0.531 8.772 SM 0.553 -0.321 -0.735 0.673 BSTB_CE 0.923 -0.107 -0.836 0.082 2.275 S.E. FOR ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES IP SP IM SM BSTB_CE ________ ________ ________ ________ ________ IP 0.965 SP 0.281 0.163 IM 0.694 0.226 1.026 SM 0.189 0.066 0.290 0.216 BSTB_CE 0.304 0.047 0.310 0.036 0.403 EST./S.E. FOR ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES IP SP IM SM BSTB_CE ________ ________ ________ ________ ________ IP 7.089 SP -2.882 3.425 IM -7.746 2.349 8.553 SM 2.923 -4.857 -2.532 3.122 BSTB_CE 3.037 -2.283 -2.695 2.303 5.640 TWO-TAILED P-VALUE FOR ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES IP SP IM SM BSTB_CE ________ ________ ________ ________ ________ IP 0.000 SP 0.004 0.001 IM 0.000 0.019 0.000 SM 0.003 0.000 0.011 0.002 BSTB_CE 0.002 0.022 0.007 0.021 0.000 ESTIMATED CORRELATION MATRIX FOR THE LATENT VARIABLES IP SP IM SM BSTB_CE ________ ________ ________ ________ ________ IP 1.000 SP -0.415 1.000 IM -0.694 0.240 1.000 SM 0.258 -0.524 -0.303 1.000 BSTB_CE 0.234 -0.095 -0.187 0.066 1.000 S.E. FOR ESTIMATED CORRELATION MATRIX FOR THE LATENT VARIABLES IP SP IM SM BSTB_CE ________ ________ ________ ________ ________ IP 0.000 SP 0.093 0.000 IM 0.053 0.100 0.000 SM 0.080 0.119 0.080 0.000 BSTB_CE 0.063 0.033 0.060 0.023 0.000 EST./S.E. FOR ESTIMATED CORRELATION MATRIX FOR THE LATENT VARIABLES IP SP IM SM BSTB_CE ________ ________ ________ ________ ________ IP 999.000 SP -4.449 999.000 IM -13.192 2.392 999.000 SM 3.206 -4.405 -3.778 999.000 BSTB_CE 3.691 -2.842 -3.113 2.828 999.000 TWO-TAILED P-VALUE FOR ESTIMATED CORRELATION MATRIX FOR THE LATENT VARIABLES IP SP IM SM BSTB_CE ________ ________ ________ ________ ________ IP 0.000 SP 0.000 0.000 IM 0.000 0.017 0.000 SM 0.001 0.000 0.000 0.000 BSTB_CE 0.000 0.004 0.002 0.005 0.000 Beginning Time: 13:43:05 Ending Time: 13:43:05 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) 1998-2017 Muthen & Muthen