Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022 11:12 PM
INPUT INSTRUCTIONS
TITLE: this is an example of a mean structure CFA
for continuous factor indicators
DATA: FILE IS ex5.9.dat;
VARIABLE: NAMES ARE y1a-y1c y2a-y2c;
MODEL: f1 BY y1a y1b@1 y1c@1;
f2 BY y2a y2b@1 y2c@1;
[y1a y1b y1c] (1);
[y2a y2b y2c] (2);
INPUT READING TERMINATED NORMALLY
this is an example of a mean structure CFA
for 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
Y1A Y1B Y1C Y2A Y2B Y2C
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)
ex5.9.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
Y1A 1.981 -0.050 -1.428 0.20% 0.930 1.658 1.966
500.000 1.478 -0.363 5.107 0.20% 2.284 3.074
Y1B 2.015 -0.092 -1.996 0.20% 0.999 1.693 2.017
500.000 1.477 -0.086 5.371 0.20% 2.364 3.043
Y1C 2.022 0.187 -1.367 0.20% 0.907 1.659 1.967
500.000 1.458 -0.137 5.550 0.20% 2.333 3.080
Y2A 2.985 -0.048 -0.555 0.20% 2.074 2.690 2.994
500.000 1.513 0.115 6.613 0.20% 3.281 3.941
Y2B 2.986 -0.147 -1.112 0.20% 2.002 2.769 3.023
500.000 1.499 0.086 6.968 0.20% 3.333 4.041
Y2C 3.033 0.163 -0.241 0.20% 2.070 2.639 2.898
500.000 1.516 -0.175 6.352 0.20% 3.233 4.106
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 11
Loglikelihood
H0 Value -4150.048
H1 Value -4143.626
Information Criteria
Akaike (AIC) 8322.096
Bayesian (BIC) 8368.456
Sample-Size Adjusted BIC 8333.542
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit
Value 12.844
Degrees of Freedom 16
P-Value 0.6841
RMSEA (Root Mean Square Error Of Approximation)
Estimate 0.000
90 Percent C.I. 0.000 0.033
Probability RMSEA <= .05 0.997
CFI/TLI
CFI 1.000
TLI 1.000
Chi-Square Test of Model Fit for the Baseline Model
Value 1422.735
Degrees of Freedom 15
P-Value 0.0000
SRMR (Standardized Root Mean Square Residual)
Value 0.022
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
F1 BY
Y1A 1.000 0.000 999.000 999.000
Y1B 1.000 0.000 999.000 999.000
Y1C 1.000 0.000 999.000 999.000
F2 BY
Y2A 1.000 0.000 999.000 999.000
Y2B 1.000 0.000 999.000 999.000
Y2C 1.000 0.000 999.000 999.000
F2 WITH
F1 0.471 0.056 8.453 0.000
Intercepts
Y1A 2.007 0.048 41.795 0.000
Y1B 2.007 0.048 41.795 0.000
Y1C 2.007 0.048 41.795 0.000
Y2A 3.001 0.048 62.385 0.000
Y2B 3.001 0.048 62.385 0.000
Y2C 3.001 0.048 62.385 0.000
Variances
F1 0.992 0.073 13.543 0.000
F2 0.980 0.074 13.302 0.000
Residual Variances
Y1A 0.512 0.045 11.448 0.000
Y1B 0.442 0.041 10.804 0.000
Y1C 0.489 0.043 11.250 0.000
Y2A 0.590 0.050 11.714 0.000
Y2B 0.478 0.044 10.799 0.000
Y2C 0.531 0.047 11.279 0.000
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.941E-01
(ratio of smallest to largest eigenvalue)
Beginning Time: 23:12:15
Ending Time: 23:12:15
Elapsed Time: 00:00:00
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