Mplus VERSION 8.6
MUTHEN & MUTHEN
07/20/2021 6:19 PM
OUTPUT SECTIONS
INPUT INSTRUCTIONS
TITLE: 7.11 LGM Modèle en base latente
DATA:
FILE = Cortisol.dat ;
LISTWISE = ON ;
VARIABLE:
NAMES =
SID C1 C2 C3 C4
SEXE TTT CREVEIL
T1 T2 T3 T4
TC1 TC2 TC3 TC4
FCT ;
USEVARIABLES = C1 C2 C3 C4 ;
ANALYSIS:
ESTIMATOR = MLR ;
STARTS = 20 ;
MODEL:
i s | C1@0 C2* C3* C4@1 ;
C4@0 ; !fixer la variance résiduelle à zéro
OUTPUT:
SAMPSTAT STDYX TECH4 ;
PLOT:
TYPE = PLOT3 ;
SERIES = C1-C4 (*) ;
INPUT READING TERMINATED NORMALLY
7.11 LGM Modèle en base latente
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 101
Number of dependent variables 4
Number of independent variables 0
Number of continuous latent variables 2
Observed dependent variables
Continuous
C1 C2 C3 C4
Continuous latent variables
I S
Estimator MLR
Information matrix OBSERVED
Maximum number of iterations 1000
Convergence criterion 0.500D-04
Maximum number of steepest descent iterations 20
Random Starts Specifications
Number of random starts 20
Random starts scale 0.500D+01
Input data file(s)
Cortisol.dat
Input data format FREE
SAMPLE STATISTICS
SAMPLE STATISTICS
Means
C1 C2 C3 C4
________ ________ ________ ________
10.412 10.189 6.393 3.706
Covariances
C1 C2 C3 C4
________ ________ ________ ________
C1 45.592
C2 22.137 36.375
C3 0.437 3.455 22.701
C4 -1.599 0.641 3.507 5.026
Correlations
C1 C2 C3 C4
________ ________ ________ ________
C1 1.000
C2 0.544 1.000
C3 0.014 0.120 1.000
C4 -0.106 0.047 0.328 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
C1 10.412 1.383 1.205 0.99% 4.540 7.500 9.168
101.000 45.592 2.806 36.490 0.99% 10.490 15.275
C2 10.189 1.502 1.380 0.99% 5.190 6.885 8.637
101.000 36.375 2.786 33.265 0.99% 10.520 14.420
C3 6.393 2.088 1.825 0.99% 3.225 4.150 4.635
101.000 22.701 4.553 27.110 0.99% 5.155 8.620
C4 3.706 2.704 1.370 0.99% 2.170 2.880 3.123
101.000 5.026 9.698 15.955 0.99% 3.335 4.630
RANDOM STARTS RESULTS RANKED FROM THE BEST TO THE WORST FIT FUNCTION VALUES
Fit function values at local maxima and random start numbers:
7.3048 3
7.3048 13
7.3048 4
7.3048 17
7.3048 12
7.3048 14
7.3048 unperturbed
7.3048 1
7.3048 15
7.3048 18
7.3048 8
7.3048 2
7.3048 20
8 starting value run(s) did not converge.
MODEL FIT INFORMATION
Number of Free Parameters 10
Loglikelihood
H0 Value -1165.069
H0 Scaling Correction Factor 2.1216
for MLR
H1 Value -1161.416
H1 Scaling Correction Factor 1.7889
for MLR
Information Criteria
Akaike (AIC) 2350.137
Bayesian (BIC) 2376.288
Sample-Size Adjusted BIC 2344.704
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit
Value 7.630*
Degrees of Freedom 4
P-Value 0.1061
Scaling Correction Factor 0.9574
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 0.095
90 Percent C.I. 0.000 0.196
Probability RMSEA <= .05 0.192
CFI/TLI
CFI 0.902
TLI 0.852
Chi-Square Test of Model Fit for the Baseline Model
Value 42.868
Degrees of Freedom 6
P-Value 0.0000
SRMR (Standardized Root Mean Square Residual)
Value 0.080
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
I |
C1 1.000 0.000 999.000 999.000
C2 1.000 0.000 999.000 999.000
C3 1.000 0.000 999.000 999.000
C4 1.000 0.000 999.000 999.000
S |
C1 0.000 0.000 999.000 999.000
C2 0.068 0.073 0.926 0.355
C3 0.683 0.072 9.530 0.000
C4 1.000 0.000 999.000 999.000
S WITH
I -22.386 8.480 -2.640 0.008
Means
I 10.628 0.653 16.276 0.000
S -6.923 0.707 -9.786 0.000
Intercepts
C1 0.000 0.000 999.000 999.000
C2 0.000 0.000 999.000 999.000
C3 0.000 0.000 999.000 999.000
C4 0.000 0.000 999.000 999.000
Variances
I 21.883 8.346 2.622 0.009
S 27.915 8.962 3.115 0.002
Residual Variances
C1 22.952 6.090 3.769 0.000
C2 16.250 4.841 3.357 0.001
C3 20.317 5.967 3.405 0.001
C4 0.000 0.000 999.000 999.000
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.829E-03
(ratio of smallest to largest eigenvalue)
STANDARDIZED MODEL RESULTS
STDYX Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
I |
C1 0.699 0.088 7.902 0.000
C2 0.788 0.120 6.586 0.000
C3 0.942 0.199 4.727 0.000
C4 2.087 0.543 3.843 0.000
S |
C1 0.000 0.000 999.000 999.000
C2 0.060 0.071 0.846 0.397
C3 0.727 0.202 3.590 0.000
C4 2.357 0.481 4.901 0.000
S WITH
I -0.906 0.040 -22.405 0.000
Means
I 2.272 0.364 6.245 0.000
S -1.310 0.186 -7.052 0.000
Intercepts
C1 0.000 0.000 999.000 999.000
C2 0.000 0.000 999.000 999.000
C3 0.000 0.000 999.000 999.000
C4 0.000 0.000 999.000 999.000
Variances
I 1.000 0.000 999.000 999.000
S 1.000 0.000 999.000 999.000
Residual Variances
C1 0.512 0.124 4.144 0.000
C2 0.461 0.127 3.619 0.000
C3 0.824 0.042 19.423 0.000
C4 0.000 999.000 999.000 999.000
R-SQUARE
Observed Two-Tailed
Variable Estimate S.E. Est./S.E. P-Value
C1 0.488 0.124 3.951 0.000
C2 0.539 0.127 4.227 0.000
C3 0.176 0.042 4.136 0.000
C4 1.000 999.000 999.000 999.000
TECHNICAL 4 OUTPUT
ESTIMATES DERIVED FROM THE MODEL
ESTIMATED MEANS FOR THE LATENT VARIABLES
I S
________ ________
10.628 -6.923
S.E. FOR ESTIMATED MEANS FOR THE LATENT VARIABLES
I S
________ ________
0.653 0.707
EST./S.E. FOR ESTIMATED MEANS FOR THE LATENT VARIABLES
I S
________ ________
16.276 -9.786
TWO-TAILED P-VALUE FOR ESTIMATED MEANS FOR THE LATENT VARIABLES
I S
________ ________
0.000 0.000
ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
I S
________ ________
I 21.883
S -22.386 27.915
S.E. FOR ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
I S
________ ________
I 8.346
S 8.480 8.962
EST./S.E. FOR ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
I S
________ ________
I 2.622
S -2.640 3.115
TWO-TAILED P-VALUE FOR ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
I S
________ ________
I 0.009
S 0.008 0.002
ESTIMATED CORRELATION MATRIX FOR THE LATENT VARIABLES
I S
________ ________
I 1.000
S -0.906 1.000
S.E. FOR ESTIMATED CORRELATION MATRIX FOR THE LATENT VARIABLES
I S
________ ________
I 0.000
S 0.040 0.000
EST./S.E. FOR ESTIMATED CORRELATION MATRIX FOR THE LATENT VARIABLES
I S
________ ________
I 999.000
S -22.405 999.000
TWO-TAILED P-VALUE FOR ESTIMATED CORRELATION MATRIX FOR THE LATENT VARIABLES
I S
________ ________
I 0.000
S 0.000 0.000
SAMPLE STATISTICS FOR ESTIMATED FACTOR SCORES
SAMPLE STATISTICS
Means
I I_SE S S_SE
________ ________ ________ ________
10.628 2.601 -6.923 2.601
Covariances
I I_SE S S_SE
________ ________ ________ ________
I 15.117
I_SE 0.000 0.000
S -15.620 0.000 21.149
S_SE 0.000 0.000 0.000 0.000
Correlations
I I_SE S S_SE
________ ________ ________ ________
I 1.000
I_SE 999.000 1.000
S -0.874 999.000 1.000
S_SE 999.000 999.000 999.000 1.000
PLOT INFORMATION
The following plots are available:
Histograms (sample values, estimated factor scores, estimated values, residuals)
Scatterplots (sample values, estimated factor scores, estimated values, residuals)
Sample means
Estimated means
Sample and estimated means
Latent variable distribution plots
Observed individual values
Estimated individual values
DIAGRAM INFORMATION
Use View Diagram under the Diagram menu in the Mplus Editor to view the diagram.
If running Mplus from the Mplus Diagrammer, the diagram opens automatically.
Diagram output
c:\project\mpluslivre\stx\chapitres\chapitre_07\script7.11.dgm
Beginning Time: 18:19:42
Ending Time: 18:19:43
Elapsed Time: 00:00:01
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