Mplus VERSION 8.6
MUTHEN & MUTHEN
07/20/2021 4:40 PM
OUTPUT SECTIONS
INPUT INSTRUCTIONS
DATA: FILE IS DataEx3.1.txt;
VARIABLE:
NAMES = ID Mobi Evi Resul AnxPer;
MISSING = ALL (999);
USEVARIABLES = Resul AnxPer;
ANALYSIS:
MODEL:
Resul ON AnxPer;
OUTPUT: SAMPSTAT STANDARDIZED;
*** 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: 4
*** 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: 5
*** 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: 51
3 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 231
Number of dependent variables 1
Number of independent variables 1
Number of continuous latent variables 0
Observed dependent variables
Continuous
RESUL
Observed independent variables
ANXPER
Estimator ML
Information matrix OBSERVED
Maximum number of iterations 1000
Convergence criterion 0.500D-04
Maximum number of steepest descent iterations 20
Maximum number of iterations for H1 2000
Convergence criterion for H1 0.100D-03
Input data file(s)
DataEx3.1.txt
Input data format FREE
SUMMARY OF DATA
Number of missing data patterns 1
COVARIANCE COVERAGE OF DATA
Minimum covariance coverage value 0.100
PROPORTION OF DATA PRESENT
Covariance Coverage
RESUL ANXPER
________ ________
RESUL 1.000
ANXPER 1.000 1.000
SAMPLE STATISTICS
ESTIMATED SAMPLE STATISTICS
Means
RESUL ANXPER
________ ________
76.058 3.121
Covariances
RESUL ANXPER
________ ________
RESUL 261.933
ANXPER -2.637 0.920
Correlations
RESUL ANXPER
________ ________
RESUL 1.000
ANXPER -0.170 1.000
MAXIMUM LOG-LIKELIHOOD VALUE FOR THE UNRESTRICTED (H1) MODEL IS -1285.699
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
RESUL 76.058 -0.967 23.000 0.87% 62.000 75.000 79.000
231.000 261.933 0.802 100.000 3.03% 84.000 89.000
ANXPER 3.121 -0.067 1.000 5.19% 2.000 3.000 3.000
231.000 0.920 -0.118 5.000 7.79% 3.000 4.000
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 3
Loglikelihood
H0 Value -967.508
H1 Value -967.508
Information Criteria
Akaike (AIC) 1941.017
Bayesian (BIC) 1951.344
Sample-Size Adjusted BIC 1941.836
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit
Value 0.000
Degrees of Freedom 0
P-Value 0.0000
RMSEA (Root Mean Square Error Of Approximation)
Estimate 0.000
90 Percent C.I. 0.000 0.000
Probability RMSEA <= .05 0.000
CFI/TLI
CFI 1.000
TLI 1.000
Chi-Square Test of Model Fit for the Baseline Model
Value 6.761
Degrees of Freedom 1
P-Value 0.0093
SRMR (Standardized Root Mean Square Residual)
Value 0.000
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
RESUL ON
ANXPER -2.865 1.094 -2.619 0.009
Intercepts
RESUL 85.001 3.572 23.798 0.000
Residual Variances
RESUL 254.378 23.669 10.747 0.000
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.102E-02
(ratio of smallest to largest eigenvalue)
STANDARDIZED MODEL RESULTS
STDYX Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
RESUL ON
ANXPER -0.170 0.064 -2.658 0.008
Intercepts
RESUL 5.252 0.290 18.120 0.000
Residual Variances
RESUL 0.971 0.022 44.746 0.000
STDY Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
RESUL ON
ANXPER -0.177 0.066 -2.677 0.007
Intercepts
RESUL 5.252 0.290 18.120 0.000
Residual Variances
RESUL 0.971 0.022 44.746 0.000
STD Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
RESUL ON
ANXPER -2.865 1.094 -2.619 0.009
Intercepts
RESUL 85.001 3.572 23.798 0.000
Residual Variances
RESUL 254.378 23.669 10.747 0.000
R-SQUARE
Observed Two-Tailed
Variable Estimate S.E. Est./S.E. P-Value
RESUL 0.029 0.022 1.329 0.184
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_03\script3.1_modele_de_regression_simple.dgm
Beginning Time: 16:40:10
Ending Time: 16:40:10
Elapsed Time: 00:00:00
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