Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022 11:11 PM
INPUT INSTRUCTIONS
TITLE: this is an example of a CFA with
continuous factor indicators
DATA: FILE IS ex5.1.dat;
VARIABLE: NAMES ARE y1-y6;
MODEL: f1 BY y1-y3;
f2 BY y4-y6;
INPUT READING TERMINATED NORMALLY
this is an example of a CFA with
continuous factor indicators
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 500
Number of dependent variables 6
Number of independent variables 0
Number of continuous latent variables 2
Observed dependent variables
Continuous
Y1 Y2 Y3 Y4 Y5 Y6
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)
ex5.1.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 -0.022 -0.050 -3.958 0.20% -1.236 -0.395 -0.039
500.000 1.971 -0.363 3.588 0.20% 0.328 1.240
Y2 0.026 -0.139 -5.193 0.20% -1.096 -0.321 0.044
500.000 1.949 0.107 3.703 0.20% 0.385 1.211
Y3 0.035 0.169 -3.907 0.20% -1.138 -0.398 -0.060
500.000 1.953 -0.135 4.159 0.20% 0.303 1.173
Y4 -0.022 -0.016 -4.546 0.20% -1.111 -0.405 -0.068
500.000 2.050 0.246 4.289 0.20% 0.300 1.125
Y5 -0.016 -0.037 -3.733 0.20% -1.152 -0.374 -0.008
500.000 1.706 -0.095 4.150 0.20% 0.354 1.069
Y6 0.048 0.213 -3.418 0.20% -1.078 -0.375 0.018
500.000 1.679 -0.028 4.107 0.20% 0.273 1.138
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 19
Loglikelihood
H0 Value -4906.609
H1 Value -4904.661
Information Criteria
Akaike (AIC) 9851.218
Bayesian (BIC) 9931.295
Sample-Size Adjusted BIC 9870.988
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit
Value 3.896
Degrees of Freedom 8
P-Value 0.8664
RMSEA (Root Mean Square Error Of Approximation)
Estimate 0.000
90 Percent C.I. 0.000 0.027
Probability RMSEA <= .05 0.995
CFI/TLI
CFI 1.000
TLI 1.000
Chi-Square Test of Model Fit for the Baseline Model
Value 596.921
Degrees of Freedom 15
P-Value 0.0000
SRMR (Standardized Root Mean Square Residual)
Value 0.014
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
F1 BY
Y1 1.000 0.000 999.000 999.000
Y2 1.126 0.099 11.368 0.000
Y3 1.019 0.089 11.482 0.000
F2 BY
Y4 1.000 0.000 999.000 999.000
Y5 1.059 0.129 8.199 0.000
Y6 0.897 0.105 8.531 0.000
F2 WITH
F1 -0.030 0.052 -0.582 0.560
Intercepts
Y1 -0.022 0.063 -0.354 0.723
Y2 0.026 0.062 0.410 0.682
Y3 0.035 0.062 0.555 0.579
Y4 -0.022 0.064 -0.350 0.726
Y5 -0.016 0.058 -0.271 0.786
Y6 0.048 0.058 0.824 0.410
Variances
F1 0.907 0.125 7.254 0.000
F2 0.760 0.133 5.734 0.000
Residual Variances
Y1 1.064 0.096 11.120 0.000
Y2 0.798 0.100 7.972 0.000
Y3 1.010 0.095 10.597 0.000
Y4 1.290 0.119 10.871 0.000
Y5 0.854 0.111 7.710 0.000
Y6 1.066 0.097 11.024 0.000
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.409E-01
(ratio of smallest to largest eigenvalue)
Beginning Time: 23:11:08
Ending Time: 23:11:08
Elapsed Time: 00:00:00
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