Mplus VERSION 8.6
MUTHEN & MUTHEN
07/20/2021 6:49 PM
OUTPUT SECTIONS
INPUT INSTRUCTIONS
DATA: FILE IS MLMmediation.6rep1.txt;
VARIABLE:
NAMES ARE Travflex ComReg mctryWLr ConcilT_V SatVie Entreprise;
USEVARIABLES ARE ConcilT_V SatVie ComReg ;
Cluster is Entreprise;
BETWEEN = ComReg;
DEFINE: CENTER ConcilT_V ComReg (grandmean);
ANALYSIS:
TYPE = TWOLEVEL RANDOM;
MODEL:
%WITHIN%
Pente |SatVie ON ConcilT_V;
SatVie ;
ConcilT_V;
%BETWEEN%
ConcilT_V ON ComReg(a);
SatVie ON ConcilT_V (b_fixe);
[Pente](b_aleatoire);
SatVie on ComReg(c_prime);
Pente on ComReg;
Pente with SatVie;
MODEL CONSTRAINT:
NEW(b direct indirect);
b=b_fixe+b_aleatoire;
indirect=a*b;
direct = c_prime;
OUTPUT:sampstat standardized cinterval;
*** WARNING in VARIABLE command
Note that only the first 8 characters of variable names are used in the output.
Shorten variable names to avoid any confusion.
*** WARNING in MODEL command
In the MODEL command, the following variable is a y-variable on the BETWEEN
level and an x-variable on the WITHIN level. This variable will be treated
as a y-variable on both levels: CONCILT_V
*** WARNING in MODEL command
In the MODEL command, the predictor variable on the WITHIN level refers to the whole observed
variable. To use the latent within-level part, use ESTIMATOR=BAYES in the ANALYSIS command.
This applies to the following statement(s):
PENTE | SATVIE ON CONCILT_V
*** WARNING in OUTPUT command
STANDARDIZED (STD, STDY, STDYX) options are available only for TYPE=TWOLEVEL RANDOM
with ESTIMATOR=BAYES. Request for STANDARDIZED (STD, STDY, STDYX) is ignored.
4 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 10000
Number of dependent variables 2
Number of independent variables 1
Number of continuous latent variables 1
Observed dependent variables
Continuous
CONCILT_V SATVIE
Observed independent variables
COMREG
Continuous latent variables
PENTE
Variables with special functions
Cluster variable ENTREPRI
Between variables
COMREG
Centering (GRANDMEAN)
CONCILT_ COMREG
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)
MLMmediation.6rep1.txt
Input data format FREE
SUMMARY OF DATA
Number of clusters 110
Average cluster size 90.909
Estimated Intraclass Correlations for the Y Variables
Intraclass Intraclass Intraclass
Variable Correlation Variable Correlation Variable Correlation
CONCILT_ 0.373 SATVIE 0.452
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
CONCILT_ SATVIE COMREG
________ ________ ________
0.000 0.000 0.000
Covariances
CONCILT_ SATVIE COMREG
________ ________ ________
CONCILT_ 1.648
SATVIE 0.489 1.155
COMREG 0.000 0.000 0.000
Correlations
CONCILT_ SATVIE COMREG
________ ________ ________
CONCILT_ 1.000
SATVIE 0.354 1.000
COMREG 0.000 0.000 0.000
ESTIMATED SAMPLE STATISTICS FOR BETWEEN
Means
CONCILT_ SATVIE COMREG
________ ________ ________
-0.008 0.535 0.000
Covariances
CONCILT_ SATVIE COMREG
________ ________ ________
CONCILT_ 0.981
SATVIE 0.770 0.954
COMREG 0.203 0.264 1.031
Correlations
CONCILT_ SATVIE COMREG
________ ________ ________
CONCILT_ 1.000
SATVIE 0.796 1.000
COMREG 0.202 0.266 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
CONCILT_V 0.000 -0.047 -5.635 0.01% -1.344 -0.386 0.020
10000.000 2.544 0.042 5.674 0.01% 0.418 1.339
SATVIE 0.549 -0.016 -4.983 0.01% -0.659 0.170 0.549
10000.000 2.101 -0.028 6.506 0.01% 0.925 1.771
COMREG 0.000 -0.331 -2.710 0.91% -0.807 -0.237 0.053
110.000 1.031 -0.224 2.350 0.91% 0.387 0.843
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 13
Loglikelihood
H0 Value -31327.431
H0 Scaling Correction Factor 0.9692
for MLR
Information Criteria
Akaike (AIC) 62680.861
Bayesian (BIC) 62774.596
Sample-Size Adjusted BIC 62733.283
(n* = (n + 2) / 24)
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Within Level
Variances
CONCILT_V 1.648 0.024 69.095 0.000
Residual Variances
SATVIE 1.009 0.015 66.859 0.000
Between Level
PENTE ON
COMREG 0.001 0.008 0.134 0.893
CONCILT_V ON
COMREG 0.197 0.088 2.253 0.024
SATVIE ON
CONCILT_V 0.469 0.056 8.388 0.000
COMREG 0.104 0.056 1.857 0.063
PENTE WITH
SATVIE 0.001 0.004 0.317 0.751
Intercepts
CONCILT_V -0.008 0.094 -0.090 0.929
SATVIE 0.542 0.057 9.510 0.000
PENTE 0.296 0.008 35.275 0.000
Residual Variances
CONCILT_V 0.941 0.131 7.192 0.000
SATVIE 0.338 0.051 6.624 0.000
PENTE 0.001 0.001 0.862 0.389
New/Additional Parameters
B 0.765 0.056 13.604 0.000
DIRECT 0.104 0.056 1.857 0.063
INDIRECT 0.151 0.070 2.162 0.031
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.161E-04
(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
Variances
CONCILT_V 1.587 1.601 1.609 1.648 1.687 1.695 1.710
Residual Variances
SATVIE 0.970 0.979 0.984 1.009 1.034 1.038 1.048
Between Level
PENTE ON
COMREG -0.019 -0.014 -0.012 0.001 0.014 0.016 0.021
CONCILT_ ON
COMREG -0.028 0.026 0.053 0.197 0.341 0.369 0.423
SATVIE ON
CONCILT_V 0.325 0.360 0.377 0.469 0.561 0.579 0.613
COMREG -0.040 -0.006 0.012 0.104 0.197 0.215 0.249
PENTE WITH
SATVIE -0.009 -0.007 -0.005 0.001 0.008 0.009 0.012
Intercepts
CONCILT_V -0.249 -0.192 -0.162 -0.008 0.145 0.175 0.232
SATVIE 0.395 0.430 0.448 0.542 0.635 0.653 0.688
PENTE 0.275 0.280 0.282 0.296 0.310 0.313 0.318
Residual Variances
CONCILT_V 0.604 0.684 0.726 0.941 1.156 1.197 1.278
SATVIE 0.206 0.238 0.254 0.338 0.422 0.438 0.469
PENTE -0.002 -0.001 -0.001 0.001 0.003 0.003 0.004
New/Additional Parameters
B 0.620 0.655 0.673 0.765 0.858 0.876 0.910
DIRECT -0.040 -0.006 0.012 0.104 0.197 0.215 0.249
INDIRECT -0.029 0.014 0.036 0.151 0.266 0.288 0.331
DIAGRAM INFORMATION
Mplus diagrams are currently not available for multilevel analysis.
No diagram output was produced.
Beginning Time: 18:49:15
Ending Time: 18:49:17
Elapsed Time: 00:00:02
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