Mplus VERSION 8.6
MUTHEN & MUTHEN
07/20/2021 6:52 PM
OUTPUT SECTIONS
INPUT INSTRUCTIONS DATA: FILE IS full_sem.txt; VARIABLE: NAMES ARE ESS6_id cntry ESS6_reg lois genre age ipcrtiv imprich ipeqopt ipshabt impsafe impdiff ipfrule ipudrst ipmodst ipgdtim impfree iphlppl ipsuces ipstrgv ipadvnt ipbhprp iprspot iplylfr impenv imptrad impfun reg6_gdp_eurhab_2011 reg6_lounra_2011 HOMICIDES_2010 REGULATIONS_2010 BURGLARIES_2010 THEFTS_2010 region ID; USEVARIABLES ARE lois ipsuces ipshabt imprich ipstrgv ipfrule imptrad age PIB; CLUSTER = region; MISSING ARE ALL (7-9 77-99 999); BETWEEN = PIB; WITHIN = age; DEFINE: PIB = reg6_gdp_eurhab_2011/1000; CENTER Lois ipsuces ipshabt imprich ipstrgv ipfrule imptrad (GRANDMEAN); ANALYSIS: type = twolevel ; MODEL: %WITHIN% Societe BY ipstrgv ipfrule imptrad; Individu BY ipsuces ipshabt imprich; Societe WITH Individu ; Individu Societe on age; Lois on Individu Societe ; Lois ON age; %BETWEEN% Valeurs BY ipsuces-imptrad; Lois ON Valeurs; Valeurs on PIB ; Lois ON PIB; MODEL indirect: Lois ind age; Lois ind PIB; OUTPUT: cinterval sampstat modindices(0); *** WARNING One or more individual-level variables have no variation within a cluster for the following clusters. Variable Cluster IDs with no within-cluster variation LOIS 74 21 25 38 23 69 14 17 *** WARNING Data set contains unknown or missing values for GROUPING, PATTERN, COHORT, CLUSTER and/or STRATIFICATION variables. Number of cases with unknown or missing values: 2798 *** WARNING Data set contains cases with missing on x-variables. These cases were not included in the analysis. Number of cases with missing on x-variables: 2519 *** WARNING Data set contains cases with missing on all variables except x-variables. These cases were not included in the analysis. Number of cases with missing on all variables except x-variables: 29 4 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS SUMMARY OF ANALYSIS Number of groups 1 Number of observations 15234 Number of dependent variables 7 Number of independent variables 2 Number of continuous latent variables 3 Observed dependent variables Continuous LOIS IPSUCES IPSHABT IMPRICH IPSTRGV IPFRULE IMPTRAD Observed independent variables AGE PIB Continuous latent variables SOCIETE INDIVIDU VALEURS Variables with special functions Cluster variable REGION Within variables AGE Between variables PIB Centering (GRANDMEAN) LOIS IPSUCES IPSHABT IMPRICH IPSTRGV IPFRULE IMPTRAD 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) full_sem.txt Input data format FREE SUMMARY OF DATA Number of missing data patterns 62 Number of clusters 118 Average cluster size 129.102 Estimated Intraclass Correlations for the Y Variables Intraclass Intraclass Intraclass Variable Correlation Variable Correlation Variable Correlation LOIS 0.095 IPSUCES 0.119 IPSHABT 0.181 IMPRICH 0.159 IPSTRGV 0.112 IPFRULE 0.091 IMPTRAD 0.085 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage LOIS IPSUCES IPSHABT IMPRICH IPSTRGV ________ ________ ________ ________ ________ LOIS 0.667 IPSUCES 0.660 0.990 IPSHABT 0.661 0.987 0.992 IMPRICH 0.662 0.989 0.991 0.994 IPSTRGV 0.658 0.983 0.984 0.986 0.987 IPFRULE 0.660 0.985 0.987 0.988 0.982 IMPTRAD 0.661 0.988 0.989 0.990 0.985 AGE 0.667 0.990 0.992 0.994 0.987 PIB 0.667 0.990 0.992 0.994 0.987 Covariance Coverage IPFRULE IMPTRAD AGE PIB ________ ________ ________ ________ IPFRULE 0.990 IMPTRAD 0.987 0.992 AGE 0.990 0.992 1.000 PIB 0.990 0.992 1.000 1.000 SAMPLE STATISTICS NOTE: The sample statistics for within and between refer to the maximum-likelihood estimated within and between covariance matrices, respectively. ESTIMATED SAMPLE STATISTICS FOR WITHIN Means LOIS IPSUCES IPSHABT IMPRICH IPSTRGV ________ ________ ________ ________ ________ 0.000 0.000 0.000 0.000 0.000 Means IPFRULE IMPTRAD AGE PIB ________ ________ ________ ________ 0.000 0.000 46.873 0.000 Covariances LOIS IPSUCES IPSHABT IMPRICH IPSTRGV ________ ________ ________ ________ ________ LOIS 3.025 IPSUCES -0.046 1.486 IPSHABT -0.030 0.846 1.601 IMPRICH 0.068 0.592 0.571 1.572 IPSTRGV -0.160 0.309 0.213 0.122 1.138 IPFRULE -0.012 0.246 0.200 0.111 0.329 IMPTRAD -0.072 0.162 0.112 -0.012 0.351 AGE 0.679 5.093 5.515 5.989 -0.868 PIB 0.000 0.000 0.000 0.000 0.000 Covariances IPFRULE IMPTRAD AGE PIB ________ ________ ________ ________ IPFRULE 1.753 IMPTRAD 0.414 1.652 AGE -2.089 -3.948 283.175 PIB 0.000 0.000 0.000 0.000 Correlations LOIS IPSUCES IPSHABT IMPRICH IPSTRGV ________ ________ ________ ________ ________ LOIS 1.000 IPSUCES -0.022 1.000 IPSHABT -0.013 0.548 1.000 IMPRICH 0.031 0.388 0.360 1.000 IPSTRGV -0.086 0.237 0.158 0.091 1.000 IPFRULE -0.005 0.152 0.119 0.067 0.233 IMPTRAD -0.032 0.103 0.069 -0.007 0.256 AGE 0.023 0.248 0.259 0.284 -0.048 PIB 0.000 0.000 0.000 0.000 0.000 Correlations IPFRULE IMPTRAD AGE PIB ________ ________ ________ ________ IPFRULE 1.000 IMPTRAD 0.243 1.000 AGE -0.094 -0.183 1.000 PIB 0.000 0.000 0.000 0.000 ESTIMATED SAMPLE STATISTICS FOR BETWEEN Means LOIS IPSUCES IPSHABT IMPRICH IPSTRGV ________ ________ ________ ________ ________ -0.048 -0.061 -0.121 -0.066 -0.079 Means IPFRULE IMPTRAD AGE PIB ________ ________ ________ ________ -0.089 -0.096 0.000 20.461 Covariances LOIS IPSUCES IPSHABT IMPRICH IPSTRGV ________ ________ ________ ________ ________ LOIS 0.317 IPSUCES -0.023 0.201 IPSHABT -0.044 0.222 0.353 IMPRICH 0.067 0.159 0.209 0.298 IPSTRGV -0.054 0.124 0.185 0.099 0.144 IPFRULE -0.080 0.075 0.103 0.036 0.078 IMPTRAD -0.034 0.148 0.202 0.147 0.123 AGE 0.000 0.000 0.000 0.000 0.000 PIB 0.960 4.695 6.495 5.492 3.995 Covariances IPFRULE IMPTRAD AGE PIB ________ ________ ________ ________ IPFRULE 0.175 IMPTRAD 0.102 0.153 AGE 0.000 0.000 0.000 PIB 1.570 4.425 0.000 251.720 Correlations LOIS IPSUCES IPSHABT IMPRICH IPSTRGV ________ ________ ________ ________ ________ LOIS 1.000 IPSUCES -0.091 1.000 IPSHABT -0.132 0.833 1.000 IMPRICH 0.217 0.651 0.643 1.000 IPSTRGV -0.252 0.732 0.821 0.480 1.000 IPFRULE -0.338 0.398 0.414 0.156 0.489 IMPTRAD -0.153 0.842 0.869 0.688 0.826 AGE 0.000 0.000 0.000 0.000 0.000 PIB 0.107 0.660 0.689 0.635 0.664 Correlations IPFRULE IMPTRAD AGE PIB ________ ________ ________ ________ IPFRULE 1.000 IMPTRAD 0.621 1.000 AGE 0.000 0.000 0.000 PIB 0.237 0.712 0.000 1.000 MAXIMUM LOG-LIKELIHOOD VALUE FOR THE UNRESTRICTED (H1) MODEL IS -160891.013 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 LOIS 0.000 -2.694 -9.344 0.36% 0.656 0.656 0.656 10158.000 3.265 6.446 0.656 87.50% 0.656 0.656 IPSUCES 0.000 0.341 -1.964 11.81% -0.964 -0.964 0.036 15081.000 1.630 -0.642 3.036 2.35% 0.036 1.036 IPSHABT 0.000 0.279 -2.066 12.14% -1.066 -0.066 -0.066 15112.000 1.834 -0.824 2.934 3.39% -0.066 0.934 IMPRICH 0.000 -0.458 -3.027 4.54% -1.027 -0.027 -0.027 15143.000 1.824 -0.609 1.973 12.14% 0.973 0.973 IPSTRGV 0.000 0.857 -1.261 27.48% -1.261 -0.261 -0.261 15040.000 1.256 0.306 3.739 0.66% -0.261 0.739 IPFRULE 0.000 0.220 -2.187 10.39% -1.187 -0.187 -0.187 15080.000 1.915 -0.921 2.813 4.44% -0.187 1.813 IMPTRAD 0.000 0.607 -1.713 18.73% -0.713 -0.713 -0.713 15117.000 1.779 -0.407 3.287 3.06% 0.287 1.287 AGE 46.873 -0.131 15.000 0.76% 30.000 42.000 48.000 15234.000 283.175 -1.054 101.000 0.01% 53.000 64.000 PIB 20.461 0.694 2.600 3.39% 4.400 7.900 22.150 118.000 251.720 -0.103 72.600 0.85% 25.600 32.100 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 42 Loglikelihood H0 Value -161283.822 H0 Scaling Correction Factor 2.5662 for MLR H1 Value -160891.013 H1 Scaling Correction Factor 2.0931 for MLR Information Criteria Akaike (AIC) 322651.645 Bayesian (BIC) 322972.159 Sample-Size Adjusted BIC 322838.686 (n* = (n + 2) / 24) Chi-Square Test of Model Fit Value 515.072* Degrees of Freedom 35 P-Value 0.0000 Scaling Correction Factor 1.5253 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 CFI/TLI CFI 0.945 TLI 0.912 Chi-Square Test of Model Fit for the Baseline Model Value 8813.973 Degrees of Freedom 56 P-Value 0.0000 SRMR (Standardized Root Mean Square Residual) Value for Within 0.038 Value for Between 0.086 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value Within Level SOCIETE BY IPSTRGV 1.000 0.000 999.000 999.000 IPFRULE 1.109 0.057 19.435 0.000 IMPTRAD 1.151 0.057 20.048 0.000 INDIVIDU BY IPSUCES 1.000 0.000 999.000 999.000 IPSHABT 0.955 0.026 37.045 0.000 IMPRICH 0.692 0.025 28.013 0.000 INDIVIDU ON AGE 0.021 0.001 28.497 0.000 SOCIETE ON AGE -0.007 0.001 -12.423 0.000 LOIS ON INDIVIDU 0.049 0.043 1.149 0.251 SOCIETE -0.312 0.081 -3.843 0.000 LOIS ON AGE -0.001 0.002 -0.419 0.675 SOCIETE WITH INDIVIDU 0.233 0.014 16.825 0.000 Residual Variances LOIS 3.000 0.218 13.748 0.000 IPSUCES 0.611 0.023 26.561 0.000 IPSHABT 0.802 0.028 28.933 0.000 IMPRICH 1.151 0.028 40.667 0.000 IPSTRGV 0.830 0.029 29.007 0.000 IPFRULE 1.374 0.038 36.621 0.000 IMPTRAD 1.243 0.045 27.514 0.000 SOCIETE 0.294 0.020 14.840 0.000 INDIVIDU 0.757 0.030 24.953 0.000 Between Level VALEURS BY IPSUCES 1.000 0.000 999.000 999.000 IPSHABT 1.369 0.093 14.728 0.000 IMPRICH 0.911 0.128 7.120 0.000 IPSTRGV 0.811 0.079 10.223 0.000 IPFRULE 0.537 0.126 4.273 0.000 IMPTRAD 0.959 0.078 12.293 0.000 VALEURS ON PIB 0.019 0.003 7.133 0.000 LOIS ON VALEURS -0.766 0.281 -2.728 0.006 LOIS ON PIB 0.018 0.007 2.736 0.006 Intercepts LOIS -0.235 0.126 -1.863 0.062 IPSUCES -1.414 0.070 -20.290 0.000 IPSHABT -1.573 0.079 -19.881 0.000 IMPRICH -1.079 0.093 -11.577 0.000 IPSTRGV -0.053 0.060 -0.890 0.373 IPFRULE 0.076 0.083 0.914 0.361 IMPTRAD -0.085 0.064 -1.315 0.188 Residual Variances LOIS 0.277 0.061 4.521 0.000 IPSUCES 0.044 0.007 5.939 0.000 IPSHABT 0.053 0.012 4.264 0.000 IMPRICH 0.163 0.033 4.962 0.000 IPSTRGV 0.035 0.007 4.792 0.000 IPFRULE 0.125 0.017 7.340 0.000 IMPTRAD 0.011 0.004 2.492 0.013 VALEURS 0.069 0.016 4.260 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.561E-06 (ratio of smallest to largest eigenvalue) TOTAL, TOTAL INDIRECT, SPECIFIC INDIRECT, AND DIRECT EFFECTS Two-Tailed Estimate S.E. Est./S.E. P-Value WITHIN Effects from AGE to LOIS Total 0.002 0.001 1.644 0.100 Total indirect 0.003 0.001 2.762 0.006 Specific indirect 1 LOIS SOCIETE AGE 0.002 0.001 3.482 0.000 Specific indirect 2 LOIS INDIVIDU AGE 0.001 0.001 1.167 0.243 Direct LOIS AGE -0.001 0.002 -0.419 0.675 BETWEEN Effects from PIB to LOIS Total 0.004 0.003 1.183 0.237 Total indirect -0.015 0.006 -2.564 0.010 Specific indirect 1 LOIS VALEURS PIB -0.015 0.006 -2.564 0.010 Direct LOIS PIB 0.018 0.007 2.736 0.006 CONFIDENCE INTERVALS OF MODEL RESULTS Lower .5% Lower 2.5% Lower 5% Estimate Upper 5% Upper 2.5% Upper .5% Within Level SOCIETE BY IPSTRGV 1.000 1.000 1.000 1.000 1.000 1.000 1.000 IPFRULE 0.962 0.997 1.015 1.109 1.203 1.221 1.256 IMPTRAD 1.004 1.039 1.057 1.151 1.246 1.264 1.299 INDIVIDU BY IPSUCES 1.000 1.000 1.000 1.000 1.000 1.000 1.000 IPSHABT 0.889 0.905 0.913 0.955 0.998 1.006 1.022 IMPRICH 0.628 0.643 0.651 0.692 0.732 0.740 0.755 INDIVIDU ON AGE 0.019 0.019 0.019 0.021 0.022 0.022 0.022 SOCIETE ON AGE -0.009 -0.008 -0.008 -0.007 -0.006 -0.006 -0.006 LOIS ON INDIVIDU -0.061 -0.035 -0.021 0.049 0.119 0.133 0.159 SOCIETE -0.522 -0.472 -0.446 -0.312 -0.179 -0.153 -0.103 LOIS ON AGE -0.006 -0.004 -0.004 -0.001 0.002 0.003 0.004 SOCIETE WITH INDIVIDU 0.197 0.205 0.210 0.233 0.255 0.260 0.268 Residual Variances LOIS 2.438 2.573 2.641 3.000 3.359 3.428 3.563 IPSUCES 0.552 0.566 0.573 0.611 0.649 0.656 0.671 IPSHABT 0.731 0.748 0.757 0.802 0.848 0.857 0.874 IMPRICH 1.078 1.095 1.104 1.151 1.197 1.206 1.224 IPSTRGV 0.757 0.774 0.783 0.830 0.877 0.886 0.904 IPFRULE 1.278 1.301 1.313 1.374 1.436 1.448 1.471 IMPTRAD 1.127 1.155 1.169 1.243 1.318 1.332 1.360 SOCIETE 0.243 0.255 0.261 0.294 0.326 0.333 0.345 INDIVIDU 0.679 0.697 0.707 0.757 0.807 0.816 0.835 Between Level VALEURS BY IPSUCES 1.000 1.000 1.000 1.000 1.000 1.000 1.000 IPSHABT 1.129 1.186 1.216 1.369 1.521 1.551 1.608 IMPRICH 0.582 0.660 0.701 0.911 1.122 1.162 1.241 IPSTRGV 0.607 0.656 0.681 0.811 0.942 0.967 1.016 IPFRULE 0.213 0.291 0.330 0.537 0.744 0.784 0.861 IMPTRAD 0.758 0.806 0.831 0.959 1.088 1.112 1.160 VALEURS ON PIB 0.012 0.014 0.015 0.019 0.023 0.024 0.026 LOIS ON VALEURS -1.489 -1.316 -1.228 -0.766 -0.304 -0.216 -0.043 LOIS ON PIB 0.001 0.005 0.007 0.018 0.029 0.031 0.035 Intercepts LOIS -0.561 -0.483 -0.443 -0.235 -0.028 0.012 0.090 IPSUCES -1.594 -1.551 -1.529 -1.414 -1.300 -1.278 -1.235 IPSHABT -1.777 -1.728 -1.703 -1.573 -1.443 -1.418 -1.369 IMPRICH -1.319 -1.261 -1.232 -1.079 -0.925 -0.896 -0.839 IPSTRGV -0.207 -0.170 -0.151 -0.053 0.045 0.064 0.101 IPFRULE -0.139 -0.087 -0.061 0.076 0.213 0.240 0.291 IMPTRAD -0.250 -0.211 -0.190 -0.085 0.021 0.042 0.081 Residual Variances LOIS 0.119 0.157 0.176 0.277 0.378 0.397 0.435 IPSUCES 0.025 0.029 0.032 0.044 0.056 0.058 0.063 IPSHABT 0.021 0.029 0.032 0.053 0.073 0.077 0.085 IMPRICH 0.078 0.099 0.109 0.163 0.217 0.227 0.248 IPSTRGV 0.016 0.021 0.023 0.035 0.047 0.049 0.054 IPFRULE 0.081 0.092 0.097 0.125 0.153 0.159 0.169 IMPTRAD 0.000 0.002 0.004 0.011 0.018 0.020 0.022 VALEURS 0.027 0.037 0.042 0.069 0.096 0.101 0.111 CONFIDENCE INTERVALS OF TOTAL, TOTAL INDIRECT, SPECIFIC INDIRECT, AND DIRECT EFFECTS Lower .5% Lower 2.5% Lower 5% Estimate Upper 5% Upper 2.5% Upper .5% WITHIN Effects from AGE to LOIS Total -0.001 0.000 0.000 0.002 0.005 0.005 0.006 Total indirect 0.000 0.001 0.001 0.003 0.005 0.006 0.006 Specific indirect 1 LOIS SOCIETE AGE 0.001 0.001 0.001 0.002 0.003 0.003 0.004 Specific indirect 2 LOIS INDIVIDU AGE -0.001 -0.001 0.000 0.001 0.002 0.003 0.003 Direct LOIS AGE -0.006 -0.004 -0.004 -0.001 0.002 0.003 0.004 Effects from PIB to LOIS Total 0.000 0.000 0.000 0.000 0.000 0.000 0.000 Total indirect 0.000 0.000 0.000 0.000 0.000 0.000 0.000 BETWEEN Effects from AGE to LOIS Total 0.000 0.000 0.000 0.000 0.000 0.000 0.000 Total indirect 0.000 0.000 0.000 0.000 0.000 0.000 0.000 Effects from PIB to LOIS Total -0.004 -0.002 -0.001 0.004 0.009 0.010 0.011 Total indirect -0.029 -0.026 -0.024 -0.015 -0.005 -0.003 0.000 Specific indirect 1 LOIS VALEURS PIB -0.029 -0.026 -0.024 -0.015 -0.005 -0.003 0.000 Direct LOIS PIB 0.001 0.005 0.007 0.018 0.029 0.031 0.035 MODEL MODIFICATION INDICES NOTE: Modification indices for direct effects of observed dependent variables regressed on covariates may not be included. To include these, request MODINDICES (ALL). Minimum M.I. value for printing the modification index 0.000 M.I. E.P.C. Std E.P.C. StdYX E.P.C. Within Level BY Statements SOCIETE BY IPSUCES 100.592 0.309 0.172 0.141 SOCIETE BY IPSHABT 7.026 -0.081 -0.045 -0.036 SOCIETE BY IMPRICH 122.163 -0.348 -0.193 -0.154 INDIVIDU BY IPSTRGV 115.389 0.179 0.168 0.157 INDIVIDU BY IPFRULE 1.212 0.022 0.020 0.015 INDIVIDU BY IMPTRAD 144.824 -0.236 -0.221 -0.172 WITH Statements IPSHABT WITH IPSUCES 33.584 0.170 0.170 0.243 IMPRICH WITH IPSUCES 11.199 -0.059 -0.059 -0.071 IMPRICH WITH IPSHABT 2.229 -0.025 -0.025 -0.026 IPSTRGV WITH IPSUCES 72.352 0.091 0.091 0.128 IPSTRGV WITH IPSHABT 5.723 -0.026 -0.026 -0.032 IPSTRGV WITH IMPRICH 0.903 -0.011 -0.011 -0.011 IPFRULE WITH IPSUCES 0.242 0.006 0.006 0.007 IPFRULE WITH IPSHABT 0.083 -0.004 -0.004 -0.004 IPFRULE WITH IMPRICH 0.176 0.006 0.006 0.005 IPFRULE WITH IPSTRGV 4.120 -0.039 -0.039 -0.037 IMPTRAD WITH IPSUCES 0.480 -0.009 -0.009 -0.010 IMPTRAD WITH IPSHABT 4.200 -0.027 -0.027 -0.027 IMPTRAD WITH IMPRICH 35.112 -0.082 -0.082 -0.069 IMPTRAD WITH IPSTRGV 0.483 -0.014 -0.014 -0.014 IMPTRAD WITH IPFRULE 7.400 0.061 0.061 0.046 Between Level WITH Statements IPSHABT WITH IPSUCES 1.143 0.011 0.011 0.224 IMPRICH WITH IPSUCES 0.799 0.011 0.011 0.134 IMPRICH WITH IPSHABT 0.108 0.005 0.005 0.053 IPSTRGV WITH IPSUCES 0.815 -0.006 -0.006 -0.159 IPSTRGV WITH IPSHABT 2.047 0.012 0.012 0.276 IPSTRGV WITH IMPRICH 5.562 -0.027 -0.027 -0.352 IPFRULE WITH IPSUCES 0.786 -0.010 -0.010 -0.133 IPFRULE WITH IPSHABT 2.089 -0.019 -0.019 -0.229 IPFRULE WITH IMPRICH 6.112 -0.046 -0.046 -0.325 IPFRULE WITH IPSTRGV 0.206 0.005 0.005 0.068 IMPTRAD WITH IPSUCES 0.025 -0.001 -0.001 -0.047 IMPTRAD WITH IPSHABT 2.790 -0.014 -0.014 -0.583 IMPTRAD WITH IMPRICH 1.103 0.010 0.010 0.241 IMPTRAD WITH IPSTRGV 0.062 -0.001 -0.001 -0.074 IMPTRAD WITH IPFRULE 13.852 0.032 0.032 0.854 DIAGRAM INFORMATION Mplus diagrams are currently not available for multilevel analysis. No diagram output was produced. Beginning Time: 18:52:05 Ending Time: 18:52:08 Elapsed Time: 00:00:03 MUTHEN & MUTHEN 3463 Stoner Ave. Los Angeles, CA 90066 Tel: (310) 391-9971 Fax: (310) 391-8971 Web: www.StatModel.com Support: Support@StatModel.com Copyright (c) 1998-2021 Muthen & Muthen