Mplus VERSION 8.6
MUTHEN & MUTHEN
07/20/2021 6:45 PM
OUTPUT SECTIONS
INPUT INSTRUCTIONS DATA: FILE IS full_sem.txt; VARIABLE: NAMES ARE ESS6_id cntry ESS6_reg lois gndr agea 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 ipstrgv lois delits; MISSING ARE ALL (7-9 77-99 999); CLUSTER = region; WITHIN = ipstrgv; BETWEEN = delits; DEFINE: delits = BURGLARIES_2010/10000; CENTER ipstrgv lois delits (GRANDMEAN); ANALYSIS: TYPE = TWOLEVEL RANDOM; MODEL: %WITHIN% Pente_al| lois ON ipstrgv; %BETWEEN% lois; Pente_al; lois WITH Pente_al; lois Pente_al ON delits; OUTPUT: CINTERVAL SAMPSTAT; *** 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 38 25 69 64 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 all variables. These cases were not included in the analysis. Number of cases with missing on all variables: 46 *** 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: 3759 *** 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: 4633 5 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS SUMMARY OF ANALYSIS Number of groups 1 Number of observations 9344 Number of dependent variables 1 Number of independent variables 2 Number of continuous latent variables 1 Observed dependent variables Continuous LOIS Observed independent variables IPSTRGV DELITS Continuous latent variables PENTE_AL Variables with special functions Cluster variable REGION Within variables IPSTRGV Between variables DELITS Centering (GRANDMEAN) IPSTRGV LOIS DELITS 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 1 Number of clusters 106 Average cluster size 88.151 Estimated Intraclass Correlations for the Y Variables Intraclass Intraclass Variable Correlation Variable Correlation LOIS 0.106 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage LOIS IPSTRGV DELITS ________ ________ ________ LOIS 1.000 IPSTRGV 1.000 1.000 DELITS 1.000 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 IPSTRGV DELITS ________ ________ ________ 0.000 0.000 0.000 Covariances LOIS IPSTRGV DELITS ________ ________ ________ LOIS 2.874 IPSTRGV -0.198 1.331 DELITS 0.000 0.000 0.000 Correlations LOIS IPSTRGV DELITS ________ ________ ________ LOIS 1.000 IPSTRGV -0.101 1.000 DELITS 0.000 0.000 0.000 ESTIMATED SAMPLE STATISTICS FOR BETWEEN Means LOIS IPSTRGV DELITS ________ ________ ________ -0.054 0.000 0.000 Covariances LOIS IPSTRGV DELITS ________ ________ ________ LOIS 0.341 IPSTRGV 0.000 0.000 DELITS 0.007 0.000 0.387 Correlations LOIS IPSTRGV DELITS ________ ________ ________ LOIS 1.000 IPSTRGV 0.000 0.000 DELITS 0.019 0.000 1.000 MAXIMUM LOG-LIKELIHOOD VALUE FOR THE UNRESTRICTED (H1) MODEL IS -18259.916 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 -2.803 -9.379 0.32% 0.621 0.621 0.621 9344.000 3.124 7.075 0.621 88.22% 0.621 0.621 IPSTRGV 0.000 0.948 -1.195 32.11% -1.195 -0.195 -0.195 9344.000 1.331 0.389 3.805 0.78% -0.195 0.805 DELITS 0.000 5.335 -0.247 0.94% -0.223 -0.209 -0.196 106.000 0.387 31.299 4.228 0.94% -0.163 0.035 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 8 Loglikelihood H0 Value -18197.641 H0 Scaling Correction Factor 5.4324 for MLR Information Criteria Akaike (AIC) 36411.282 Bayesian (BIC) 36468.422 Sample-Size Adjusted BIC 36442.999 (n* = (n + 2) / 24) MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value Within Level Residual Variances LOIS 2.786 0.236 11.791 0.000 Between Level PENTE_AL ON DELITS 0.082 0.028 2.944 0.003 LOIS ON DELITS 0.015 0.042 0.354 0.724 LOIS WITH PENTE_AL 0.107 0.046 2.313 0.021 Intercepts LOIS -0.062 0.063 -0.987 0.324 PENTE_AL -0.198 0.032 -6.122 0.000 Residual Variances LOIS 0.345 0.099 3.481 0.001 PENTE_AL 0.062 0.025 2.473 0.013 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.291E-03 (ratio of smallest to largest eigenvalue) CONFIDENCE INTERVALS OF MODEL RESULTS Lower .5% Lower 2.5% Lower 5% Estimate Upper 5% Upper 2.5% Upper .5% Within Level Residual Variances LOIS 2.177 2.323 2.397 2.786 3.175 3.249 3.395 Between Level PENTE_AL ON DELITS 0.010 0.027 0.036 0.082 0.127 0.136 0.153 LOIS ON DELITS -0.094 -0.068 -0.055 0.015 0.085 0.098 0.124 LOIS WITH PENTE_AL -0.012 0.016 0.031 0.107 0.183 0.198 0.226 Intercepts LOIS -0.224 -0.185 -0.166 -0.062 0.041 0.061 0.100 PENTE_AL -0.281 -0.261 -0.251 -0.198 -0.145 -0.135 -0.115 Residual Variances LOIS 0.090 0.151 0.182 0.345 0.508 0.540 0.601 PENTE_AL -0.003 0.013 0.021 0.062 0.102 0.110 0.126 DIAGRAM INFORMATION Mplus diagrams are currently not available for multilevel analysis. No diagram output was produced. Beginning Time: 18:45:05 Ending Time: 18:45:05 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) 1998-2021 Muthen & Muthen