Mplus VERSION 8.6
MUTHEN & MUTHEN
07/20/2021 6:42 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 !Confiance envers le gouvernement
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;
MISSING ARE ALL (7-9 77-99 999);
CLUSTER = region;
DEFINE:
CENTER ipstrgv lois (GRANDMEAN);
ANALYSIS:
TYPE = TWOLEVEL;
MODEL:
%WITHIN%
lois ON ipstrgv;
%BETWEEN%
lois ON ipstrgv;
OUTPUT:
STANDARDIZED;
PLOT :
Type = PLOT3 ;
*** 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: 144
*** 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: 166
*** 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: 5780
5 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 11692
Number of dependent variables 1
Number of independent variables 1
Number of continuous latent variables 0
Observed dependent variables
Continuous
LOIS
Observed independent variables
IPSTRGV
Variables with special functions
Cluster variable REGION
Centering (GRANDMEAN)
IPSTRGV LOIS
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 125
Average cluster size 93.536
Estimated Intraclass Correlations for the Y Variables
Intraclass
Variable Correlation
LOIS 0.112
COVARIANCE COVERAGE OF DATA
Minimum covariance coverage value 0.100
PROPORTION OF DATA PRESENT
Covariance Coverage
LOIS IPSTRGV
________ ________
LOIS 1.000
IPSTRGV 1.000 1.000
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 -2.638 -9.305 0.45% 0.695 0.695 0.695
11692.000 3.491 6.164 0.695 86.90% 0.695 0.695
IPSTRGV 0.000 1.008 -1.135 34.59% -1.135 -0.135 -0.135
11692.000 1.303 0.521 3.865 0.71% -0.135 0.865
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 5
Loglikelihood
H0 Value -40930.450
H0 Scaling Correction Factor 7.0691
for MLR
H1 Value -40930.450
H1 Scaling Correction Factor 7.0691
for MLR
Information Criteria
Akaike (AIC) 81870.900
Bayesian (BIC) 81907.734
Sample-Size Adjusted BIC 81891.844
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit
Value 0.000*
Degrees of Freedom 0
P-Value 0.0000
Scaling Correction Factor 1.0000
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 0.000
CFI/TLI
CFI 1.000
TLI 1.000
Chi-Square Test of Model Fit for the Baseline Model
Value 68.932
Degrees of Freedom 2
P-Value 0.0000
SRMR (Standardized Root Mean Square Residual)
Value for Within 0.000
Value for Between 0.001
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Within Level
LOIS ON
IPSTRGV -0.169 0.029 -5.796 0.000
Residual Variances
LOIS 3.152 0.215 14.647 0.000
Between Level
LOIS ON
IPSTRGV -0.292 0.137 -2.135 0.033
Intercepts
LOIS -0.051 0.062 -0.819 0.413
Residual Variances
LOIS 0.389 0.099 3.920 0.000
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.594E-03
(ratio of smallest to largest eigenvalue)
STANDARDIZED MODEL RESULTS
STDYX Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Within Level
LOIS ON
IPSTRGV -0.101 0.016 -6.375 0.000
Residual Variances
LOIS 0.990 0.003 311.345 0.000
Between Level
LOIS ON
IPSTRGV -0.191 0.086 -2.218 0.027
Intercepts
LOIS -0.080 0.091 -0.885 0.376
Residual Variances
LOIS 0.964 0.033 29.308 0.000
STDY Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Within Level
LOIS ON
IPSTRGV -0.095 0.015 -6.381 0.000
Residual Variances
LOIS 0.990 0.003 311.345 0.000
Between Level
LOIS ON
IPSTRGV -0.459 0.205 -2.238 0.025
Intercepts
LOIS -0.080 0.091 -0.885 0.376
Residual Variances
LOIS 0.964 0.033 29.308 0.000
STD Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Within Level
LOIS ON
IPSTRGV -0.169 0.029 -5.796 0.000
Residual Variances
LOIS 3.152 0.215 14.647 0.000
Between Level
LOIS ON
IPSTRGV -0.292 0.137 -2.135 0.033
Intercepts
LOIS -0.051 0.062 -0.819 0.413
Residual Variances
LOIS 0.389 0.099 3.920 0.000
R-SQUARE
Within Level
Observed Two-Tailed
Variable Estimate S.E. Est./S.E. P-Value
LOIS 0.010 0.003 3.188 0.001
Between Level
Observed Two-Tailed
Variable Estimate S.E. Est./S.E. P-Value
LOIS 0.036 0.033 1.109 0.267
SAMPLE STATISTICS FOR ESTIMATED FACTOR SCORES
SAMPLE STATISTICS
Means
B_LOIS B_LOIS_S B_IPSTRG B_IPSTRG
________ ________ ________ ________
0.000 0.164 0.000 0.099
Covariances
B_LOIS B_LOIS_S B_IPSTRG B_IPSTRG
________ ________ ________ ________
B_LOIS 0.277
B_LOIS_S -0.003 0.003
B_IPSTRG -0.011 -0.004 0.158
B_IPSTRG -0.002 0.002 -0.003 0.001
Correlations
B_LOIS B_LOIS_S B_IPSTRG B_IPSTRG
________ ________ ________ ________
B_LOIS 1.000
B_LOIS_S -0.115 1.000
B_IPSTRG -0.052 -0.199 1.000
B_IPSTRG -0.114 1.000 -0.197 1.000
PLOT INFORMATION
The following plots are available:
Histograms (sample values)
Scatterplots (sample values)
Between-level histograms (sample values, sample means/variances)
Between-level scatterplots (sample values, sample means/variances)
DIAGRAM INFORMATION
Mplus diagrams are currently not available for multilevel analysis.
No diagram output was produced.
Beginning Time: 18:42:48
Ending Time: 18:42:49
Elapsed Time: 00:00:01
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