Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022 11:12 PM
INPUT INSTRUCTIONS
TITLE: this is an example of a CFA with
covariates (MIMIC) with continuous factor
indicators
DATA: FILE IS ex5.8.dat;
VARIABLE: NAMES ARE y1-y6 x1-x3;
MODEL: f1 BY y1-y3;
f2 BY y4-y6;
f1 f2 ON x1-x3;
INPUT READING TERMINATED NORMALLY
this is an example of a CFA with
covariates (MIMIC) with continuous factor
indicators
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 500
Number of dependent variables 6
Number of independent variables 3
Number of continuous latent variables 2
Observed dependent variables
Continuous
Y1 Y2 Y3 Y4 Y5 Y6
Observed independent variables
X1 X2 X3
Continuous latent variables
F1 F2
Estimator ML
Information matrix OBSERVED
Maximum number of iterations 1000
Convergence criterion 0.500D-04
Maximum number of steepest descent iterations 20
Input data file(s)
ex5.8.dat
Input data format FREE
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
Y1 2.066 -0.174 -2.827 0.20% 0.516 1.668 2.111
500.000 3.227 -0.300 6.876 0.20% 2.616 3.685
Y2 2.088 0.021 -2.785 0.20% 0.544 1.611 2.178
500.000 3.388 -0.114 7.456 0.20% 2.561 3.658
Y3 2.088 0.036 -2.223 0.20% 0.534 1.685 2.046
500.000 3.295 -0.323 6.987 0.20% 2.510 3.553
Y4 1.663 -0.017 -3.780 0.20% 0.067 1.162 1.694
500.000 3.595 -0.233 7.734 0.20% 2.122 3.307
Y5 1.623 -0.138 -3.931 0.20% 0.039 1.236 1.649
500.000 3.290 -0.253 5.979 0.20% 2.060 3.303
Y6 1.596 -0.104 -3.491 0.20% 0.040 1.122 1.588
500.000 3.434 -0.338 6.396 0.20% 2.087 3.243
X1 -0.061 -0.070 -5.568 0.20% -1.405 -0.513 -0.093
500.000 2.921 0.161 4.844 0.20% 0.268 1.410
X2 1.033 -0.175 -4.642 0.20% -0.089 0.776 1.082
500.000 2.082 0.136 4.880 0.20% 1.424 2.167
X3 2.090 0.036 -0.597 0.20% 1.176 1.777 2.115
500.000 1.042 -0.377 4.840 0.20% 2.374 3.002
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 25
Loglikelihood
H0 Value -4000.617
H1 Value -3990.606
Information Criteria
Akaike (AIC) 8051.235
Bayesian (BIC) 8156.600
Sample-Size Adjusted BIC 8077.248
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit
Value 20.023
Degrees of Freedom 20
P-Value 0.4565
RMSEA (Root Mean Square Error Of Approximation)
Estimate 0.002
90 Percent C.I. 0.000 0.038
Probability RMSEA <= .05 0.994
CFI/TLI
CFI 1.000
TLI 1.000
Chi-Square Test of Model Fit for the Baseline Model
Value 4176.601
Degrees of Freedom 33
P-Value 0.0000
SRMR (Standardized Root Mean Square Residual)
Value 0.008
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
F1 BY
Y1 1.000 0.000 999.000 999.000
Y2 1.032 0.030 34.711 0.000
Y3 1.022 0.029 34.981 0.000
F2 BY
Y4 1.000 0.000 999.000 999.000
Y5 0.973 0.026 38.093 0.000
Y6 0.977 0.027 35.735 0.000
F1 ON
X1 0.497 0.026 18.964 0.000
X2 0.566 0.031 18.283 0.000
X3 0.691 0.043 15.968 0.000
F2 ON
X1 0.678 0.026 25.863 0.000
X2 0.601 0.030 20.268 0.000
X3 0.432 0.040 10.711 0.000
F2 WITH
F1 0.228 0.040 5.762 0.000
Intercepts
Y1 0.068 0.108 0.633 0.527
Y2 0.025 0.110 0.227 0.820
Y3 0.046 0.109 0.421 0.674
Y4 0.179 0.101 1.774 0.076
Y5 0.180 0.096 1.873 0.061
Y6 0.147 0.099 1.488 0.137
Residual Variances
Y1 0.529 0.046 11.496 0.000
Y2 0.512 0.046 11.064 0.000
Y3 0.477 0.044 10.789 0.000
Y4 0.541 0.046 11.655 0.000
Y5 0.399 0.038 10.485 0.000
Y6 0.522 0.045 11.659 0.000
F1 0.720 0.061 11.717 0.000
F2 0.643 0.056 11.471 0.000
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.364E-02
(ratio of smallest to largest eigenvalue)
Beginning Time: 23:12:15
Ending Time: 23:12:15
Elapsed Time: 00:00:00
MUTHEN & MUTHEN
3463 Stoner Ave.
Los Angeles, CA 90066
Tel: (310) 391-9971
Fax: (310) 391-8971
Web: www.StatModel.com
Support: Support@StatModel.com
Copyright (c) 1998-2022 Muthen & Muthen
Back to examples