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



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