Mplus VERSION 8.6
MUTHEN & MUTHEN
07/20/2021 6:39 PM
OUTPUT SECTIONS
INPUT INSTRUCTIONS
DATA: FILE IS DEMOMLMEFA_CFA.txt;
VARIABLE:
NAMES ARE
cntry
gndr
agea
ipcrtiv
imprich
ipeqopt
ipshabt
impsafe
impdiff
ipfrule
ipudrst
ipmodst
ipgdtim
impfree
iphlppl
ipsuces
ipstrgv
ipadvnt
ipbhprp
iprspot
iplylfr
impenv
imptrad
impfun
region
ID;
IDVARIABLE IS ID;
MISSING ARE ALL (7-9);
USEVARIABLES ARE
ipshabt ! Habiletés
ipsuces ! Succès
ipfrule ! Règles
ipstrgv ! Gouvernement
imprich ! Richesse
imptrad;! Traditions
CLUSTER = region;
DEFINE:
CENTER ipshabt-imptrad(GRANDMEAN);
ANALYSIS:
TYPE = TWOLEVEL;
MODEL:
%WITHIN%
Societe BY ipstrgv ipfrule imptrad;
Individu BY ipsuces ipshabt imprich;
%BETWEEN%
Valeurs BY ipshabt-imptrad;
OUTPUT: STDYX modindices sampstat;
PLOT:
type is PLOT1 PLOT2;
!SAVEDATA: !Nous pouvons sauvegarder les scores des facteurs en utilisant la commande SAVE
!SAVE is fscores; !Nous sauvegardons les scores des facteurs
!FILE is CFA_MLM.txt;! Dans ce fichier
*** WARNING
Input line exceeded 90 characters. Some input may be truncated.
!SAVEDATA: !Nous pouvons sauvegarder les scores des facteurs en utilisant la commande SAVED
*** 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: 473
*** 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: 129
3 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 19978
Number of dependent variables 6
Number of independent variables 0
Number of continuous latent variables 3
Observed dependent variables
Continuous
IPSHABT IPSUCES IPFRULE IPSTRGV IMPRICH IMPTRAD
Continuous latent variables
SOCIETE INDIVIDU VALEURS
Variables with special functions
Cluster variable REGION
ID variable ID
Centering (GRANDMEAN)
IPSHABT IPSUCES IPFRULE IPSTRGV IMPRICH 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)
DEMOMLMEFA_CFA.txt
Input data format FREE
SUMMARY OF DATA
Number of missing data patterns 50
Number of clusters 148
Average cluster size 134.986
Estimated Intraclass Correlations for the Y Variables
Intraclass Intraclass Intraclass
Variable Correlation Variable Correlation Variable Correlation
IPSHABT 0.176 IPSUCES 0.188 IPFRULE 0.136
IPSTRGV 0.117 IMPRICH 0.205 IMPTRAD 0.126
COVARIANCE COVERAGE OF DATA
Minimum covariance coverage value 0.100
PROPORTION OF DATA PRESENT
Covariance Coverage
IPSHABT IPSUCES IPFRULE IPSTRGV IMPRICH
________ ________ ________ ________ ________
IPSHABT 0.993
IPSUCES 0.987 0.992
IPFRULE 0.986 0.985 0.991
IPSTRGV 0.984 0.984 0.983 0.989
IMPRICH 0.991 0.990 0.988 0.987 0.996
IMPTRAD 0.989 0.989 0.987 0.987 0.992
Covariance Coverage
IMPTRAD
________
IMPTRAD 0.995
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
IPSHABT IPSUCES IPFRULE IPSTRGV IMPRICH
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
Means
IMPTRAD
________
0.000
Covariances
IPSHABT IPSUCES IPFRULE IPSTRGV IMPRICH
________ ________ ________ ________ ________
IPSHABT 1.643
IPSUCES 0.859 1.514
IPFRULE 0.203 0.243 1.780
IPSTRGV 0.214 0.298 0.323 1.129
IMPRICH 0.583 0.582 0.112 0.107 1.584
IMPTRAD 0.117 0.147 0.425 0.356 -0.030
Covariances
IMPTRAD
________
IMPTRAD 1.649
Correlations
IPSHABT IPSUCES IPFRULE IPSTRGV IMPRICH
________ ________ ________ ________ ________
IPSHABT 1.000
IPSUCES 0.545 1.000
IPFRULE 0.119 0.148 1.000
IPSTRGV 0.157 0.228 0.228 1.000
IMPRICH 0.361 0.375 0.067 0.080 1.000
IMPTRAD 0.071 0.093 0.248 0.261 -0.018
Correlations
IMPTRAD
________
IMPTRAD 1.000
ESTIMATED SAMPLE STATISTICS FOR BETWEEN
Means
IPSHABT IPSUCES IPFRULE IPSTRGV IMPRICH
________ ________ ________ ________ ________
-0.034 0.036 -0.025 -0.036 0.029
Means
IMPTRAD
________
-0.030
Covariances
IPSHABT IPSUCES IPFRULE IPSTRGV IMPRICH
________ ________ ________ ________ ________
IPSHABT 0.350
IPSUCES 0.285 0.351
IPFRULE 0.173 0.215 0.280
IPSTRGV 0.188 0.160 0.116 0.149
IMPRICH 0.273 0.291 0.144 0.129 0.408
IMPTRAD 0.246 0.256 0.201 0.155 0.221
Covariances
IMPTRAD
________
IMPTRAD 0.237
Correlations
IPSHABT IPSUCES IPFRULE IPSTRGV IMPRICH
________ ________ ________ ________ ________
IPSHABT 1.000
IPSUCES 0.811 1.000
IPFRULE 0.553 0.685 1.000
IPSTRGV 0.824 0.699 0.569 1.000
IMPRICH 0.721 0.770 0.426 0.522 1.000
IMPTRAD 0.854 0.886 0.779 0.825 0.710
Correlations
IMPTRAD
________
IMPTRAD 1.000
MAXIMUM LOG-LIKELIHOOD VALUE FOR THE UNRESTRICTED (H1) MODEL IS -187614.857
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
IPSHABT 0.000 0.297 -2.040 13.94% -1.040 -1.040 -0.040
19837.000 1.940 -0.860 2.960 3.85% -0.040 0.960
IPSUCES 0.000 0.312 -2.005 13.22% -1.005 -1.005 -0.005
19813.000 1.807 -0.767 2.995 3.21% -0.005 0.995
IPFRULE 0.000 0.232 -2.171 11.75% -1.171 -0.171 -0.171
19794.000 2.013 -0.949 2.829 5.00% -0.171 1.829
IPSTRGV 0.000 0.915 -1.202 30.56% -1.202 -0.202 -0.202
19765.000 1.265 0.409 3.798 0.71% -0.202 0.798
IMPRICH 0.000 -0.463 -3.027 5.37% -1.027 -0.027 -0.027
19908.000 1.970 -0.693 1.973 13.62% 0.973 0.973
IMPTRAD 0.000 0.640 -1.667 21.23% -1.667 -0.667 -0.667
19884.000 1.846 -0.405 3.333 3.25% 0.333 1.333
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 31
Loglikelihood
H0 Value -187891.325
H0 Scaling Correction Factor 2.2606
for MLR
H1 Value -187614.857
H1 Scaling Correction Factor 2.0393
for MLR
Information Criteria
Akaike (AIC) 375844.650
Bayesian (BIC) 376089.624
Sample-Size Adjusted BIC 375991.108
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit
Value 338.056*
Degrees of Freedom 17
P-Value 0.0000
Scaling Correction Factor 1.6356
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 0.031
CFI/TLI
CFI 0.962
TLI 0.932
Chi-Square Test of Model Fit for the Baseline Model
Value 8369.226
Degrees of Freedom 30
P-Value 0.0000
SRMR (Standardized Root Mean Square Residual)
Value for Within 0.033
Value for Between 0.049
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 1.039 0.058 17.953 0.000
IMPTRAD 1.008 0.049 20.683 0.000
INDIVIDU BY
IPSUCES 1.000 0.000 999.000 999.000
IPSHABT 0.942 0.028 33.484 0.000
IMPRICH 0.640 0.023 27.595 0.000
INDIVIDU WITH
SOCIETE 0.208 0.014 15.009 0.000
Variances
SOCIETE 0.349 0.022 16.234 0.000
INDIVIDU 0.919 0.034 26.692 0.000
Residual Variances
IPSHABT 0.827 0.034 24.679 0.000
IPSUCES 0.596 0.024 24.886 0.000
IPFRULE 1.402 0.036 38.922 0.000
IPSTRGV 0.780 0.030 25.780 0.000
IMPRICH 1.208 0.028 43.193 0.000
IMPTRAD 1.294 0.044 29.742 0.000
Between Level
VALEURS BY
IPSHABT 1.000 0.000 999.000 999.000
IPSUCES 1.027 0.061 16.741 0.000
IPFRULE 0.743 0.093 7.957 0.000
IPSTRGV 0.608 0.040 15.224 0.000
IMPRICH 0.903 0.080 11.247 0.000
IMPTRAD 0.907 0.057 16.031 0.000
Intercepts
IPSHABT -0.034 0.050 -0.684 0.494
IPSUCES 0.035 0.050 0.694 0.488
IPFRULE -0.024 0.045 -0.532 0.595
IPSTRGV -0.033 0.033 -1.003 0.316
IMPRICH 0.029 0.054 0.535 0.592
IMPTRAD -0.029 0.042 -0.694 0.488
Variances
VALEURS 0.277 0.034 8.215 0.000
Residual Variances
IPSHABT 0.073 0.011 6.816 0.000
IPSUCES 0.060 0.010 5.785 0.000
IPFRULE 0.125 0.016 7.879 0.000
IPSTRGV 0.046 0.007 6.429 0.000
IMPRICH 0.177 0.033 5.424 0.000
IMPTRAD 0.009 0.008 1.158 0.247
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.681E-04
(ratio of smallest to largest eigenvalue)
STANDARDIZED MODEL RESULTS
STDYX Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Within Level
SOCIETE BY
IPSTRGV 0.556 0.016 33.937 0.000
IPFRULE 0.460 0.016 28.667 0.000
IMPTRAD 0.464 0.016 28.454 0.000
INDIVIDU BY
IPSUCES 0.779 0.010 74.850 0.000
IPSHABT 0.705 0.013 54.242 0.000
IMPRICH 0.488 0.012 41.145 0.000
INDIVIDU WITH
SOCIETE 0.367 0.018 20.118 0.000
Variances
SOCIETE 1.000 0.000 999.000 999.000
INDIVIDU 1.000 0.000 999.000 999.000
Residual Variances
IPSHABT 0.504 0.018 27.505 0.000
IPSUCES 0.393 0.016 24.265 0.000
IPFRULE 0.788 0.015 53.258 0.000
IPSTRGV 0.691 0.018 37.868 0.000
IMPRICH 0.762 0.012 65.932 0.000
IMPTRAD 0.785 0.015 51.807 0.000
Between Level
VALEURS BY
IPSHABT 0.889 0.020 44.194 0.000
IPSUCES 0.911 0.020 46.109 0.000
IPFRULE 0.741 0.051 14.649 0.000
IPSTRGV 0.830 0.031 26.376 0.000
IMPRICH 0.749 0.055 13.679 0.000
IMPTRAD 0.981 0.017 59.369 0.000
Intercepts
IPSHABT -0.058 0.084 -0.692 0.489
IPSUCES 0.059 0.084 0.693 0.488
IPFRULE -0.046 0.085 -0.534 0.594
IPSTRGV -0.086 0.084 -1.026 0.305
IMPRICH 0.045 0.086 0.528 0.597
IMPTRAD -0.060 0.085 -0.702 0.483
Variances
VALEURS 1.000 0.000 999.000 999.000
Residual Variances
IPSHABT 0.210 0.036 5.858 0.000
IPSUCES 0.169 0.036 4.699 0.000
IPFRULE 0.450 0.075 5.998 0.000
IPSTRGV 0.312 0.052 5.970 0.000
IMPRICH 0.439 0.082 5.356 0.000
IMPTRAD 0.037 0.032 1.138 0.255
R-SQUARE
Within Level
Observed Two-Tailed
Variable Estimate S.E. Est./S.E. P-Value
IPSHABT 0.496 0.018 27.121 0.000
IPSUCES 0.607 0.016 37.425 0.000
IPFRULE 0.212 0.015 14.333 0.000
IPSTRGV 0.309 0.018 16.969 0.000
IMPRICH 0.238 0.012 20.573 0.000
IMPTRAD 0.215 0.015 14.227 0.000
Between Level
Observed Two-Tailed
Variable Estimate S.E. Est./S.E. P-Value
IPSHABT 0.790 0.036 22.097 0.000
IPSUCES 0.831 0.036 23.055 0.000
IPFRULE 0.550 0.075 7.325 0.000
IPSTRGV 0.688 0.052 13.188 0.000
IMPRICH 0.561 0.082 6.840 0.000
IMPTRAD 0.963 0.032 29.684 0.000
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 10.000
M.I. E.P.C. Std E.P.C. StdYX E.P.C.
Within Level
BY Statements
SOCIETE BY IPSUCES 74.488 0.267 0.158 0.128
SOCIETE BY IMPRICH 73.094 -0.248 -0.147 -0.117
INDIVIDU BY IPSTRGV 93.923 0.171 0.164 0.154
INDIVIDU BY IMPTRAD 127.832 -0.211 -0.202 -0.157
WITH Statements
IPSUCES WITH IPSHABT 73.093 -0.489 -0.489 -0.696
IPSTRGV WITH IPSUCES 99.716 0.099 0.099 0.145
IPSTRGV WITH IPFRULE 127.831 -0.290 -0.290 -0.278
IMPRICH WITH IPSHABT 74.488 0.215 0.215 0.215
IMPTRAD WITH IPFRULE 93.923 0.240 0.240 0.178
IMPTRAD WITH IMPRICH 83.915 -0.118 -0.118 -0.094
Between Level
WITH Statements
IPSTRGV WITH IPSHABT 12.169 0.030 0.030 0.513
IMPTRAD WITH IPFRULE 13.574 0.034 0.034 1.044
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: 18:39:13
Ending Time: 18:39:14
Elapsed Time: 00:00:01
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