Mplus VERSION 6
MUTHEN & MUTHEN
04/25/2010 11:39 PM
INPUT INSTRUCTIONS
variable:
names = u1-u6 g;
categorical = u1-u6;
grouping= g(1=G1 2=G2);
data: file is mcdiff.dat;
analysis:
!type = meanstructure;
DIFFTEST=t.dat;
model:
f by u1-u6;
f*0.49;
INPUT READING TERMINATED NORMALLY
SUMMARY OF ANALYSIS
Number of groups 2
Number of observations
Group G1 500
Group G2 600
Number of dependent variables 6
Number of independent variables 0
Number of continuous latent variables 1
Observed dependent variables
Binary and ordered categorical (ordinal)
U1 U2 U3 U4 U5 U6
Continuous latent variables
F
Variables with special functions
Grouping variable G
Estimator WLSMV
Maximum number of iterations 1000
Convergence criterion 0.500D-04
Maximum number of steepest descent iterations 20
Parameterization DELTA
Input data file(s)
mcdiff.dat
Input data format FREE
UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES
Group G1
U1
Category 1 0.186 93.000
Category 2 0.706 353.000
Category 3 0.108 54.000
U2
Category 1 0.160 80.000
Category 2 0.720 360.000
Category 3 0.120 60.000
U3
Category 1 0.170 85.000
Category 2 0.684 342.000
Category 3 0.146 73.000
U4
Category 1 0.178 89.000
Category 2 0.676 338.000
Category 3 0.146 73.000
U5
Category 1 0.174 87.000
Category 2 0.676 338.000
Category 3 0.150 75.000
U6
Category 1 0.170 85.000
Category 2 0.688 344.000
Category 3 0.142 71.000
Group G2
U1
Category 1 0.347 208.000
Category 2 0.345 207.000
Category 3 0.308 185.000
U2
Category 1 0.333 200.000
Category 2 0.382 229.000
Category 3 0.285 171.000
U3
Category 1 0.302 181.000
Category 2 0.385 231.000
Category 3 0.313 188.000
U4
Category 1 0.295 177.000
Category 2 0.363 218.000
Category 3 0.342 205.000
U5
Category 1 0.342 205.000
Category 2 0.368 221.000
Category 3 0.290 174.000
U6
Category 1 0.305 183.000
Category 2 0.372 223.000
Category 3 0.323 194.000
THE MODEL ESTIMATION TERMINATED NORMALLY
TESTS OF MODEL FIT
Chi-Square Test of Model Fit
Value 30.325*
Degrees of Freedom 28
P-Value 0.3478
Chi-Square Contributions From Each Group
G1 11.268
G2 19.057
Chi-Square Test for Difference Testing
Value 13.420
Degrees of Freedom 10
P-Value 0.2012
* 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.
Chi-Square Test of Model Fit for the Baseline Model
Value 1089.262
Degrees of Freedom 30
P-Value 0.0000
CFI/TLI
CFI 0.998
TLI 0.998
Number of Free Parameters 26
RMSEA (Root Mean Square Error Of Approximation)
Estimate 0.012
WRMR (Weighted Root Mean Square Residual)
Value 0.992
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Group G1
F BY
U1 1.000 0.000 999.000 999.000
U2 1.017 0.086 11.774 0.000
U3 0.971 0.085 11.374 0.000
U4 0.921 0.083 11.162 0.000
U5 0.976 0.084 11.587 0.000
U6 0.975 0.081 11.975 0.000
Means
F 0.000 0.000 999.000 999.000
Thresholds
U1$1 -0.888 0.063 -14.026 0.000
U1$2 1.232 0.073 16.771 0.000
U2$1 -0.984 0.066 -14.962 0.000
U2$2 1.224 0.072 17.010 0.000
U3$1 -0.968 0.064 -15.023 0.000
U3$2 1.048 0.067 15.622 0.000
U4$1 -0.955 0.063 -15.130 0.000
U4$2 1.000 0.067 14.985 0.000
U5$1 -0.898 0.064 -14.058 0.000
U5$2 1.077 0.067 16.113 0.000
U6$1 -0.960 0.064 -14.968 0.000
U6$2 1.040 0.067 15.481 0.000
Variances
F 0.472 0.059 7.955 0.000
Scales
U1 1.000 0.000 999.000 999.000
U2 1.000 0.000 999.000 999.000
U3 1.000 0.000 999.000 999.000
U4 1.000 0.000 999.000 999.000
U5 1.000 0.000 999.000 999.000
U6 1.000 0.000 999.000 999.000
Group G2
F BY
U1 1.000 0.000 999.000 999.000
U2 1.017 0.086 11.774 0.000
U3 0.971 0.085 11.374 0.000
U4 0.921 0.083 11.162 0.000
U5 0.976 0.084 11.587 0.000
U6 0.975 0.081 11.975 0.000
Means
F 0.049 0.061 0.807 0.419
Thresholds
U1$1 -0.888 0.063 -14.026 0.000
U1$2 1.232 0.073 16.771 0.000
U2$1 -0.984 0.066 -14.962 0.000
U2$2 1.224 0.072 17.010 0.000
U3$1 -0.968 0.064 -15.023 0.000
U3$2 1.048 0.067 15.622 0.000
U4$1 -0.955 0.063 -15.130 0.000
U4$2 1.000 0.067 14.985 0.000
U5$1 -0.898 0.064 -14.058 0.000
U5$2 1.077 0.067 16.113 0.000
U6$1 -0.960 0.064 -14.968 0.000
U6$2 1.040 0.067 15.481 0.000
Variances
F 0.557 0.113 4.947 0.000
Scales
U1 0.429 0.031 14.063 0.000
U2 0.430 0.030 14.320 0.000
U3 0.493 0.034 14.459 0.000
U4 0.494 0.035 14.328 0.000
U5 0.487 0.034 14.112 0.000
U6 0.499 0.033 15.268 0.000
R-SQUARE
Group G1
Observed Residual
Variable Estimate Variance
U1 0.472 0.528
U2 0.487 0.513
U3 0.445 0.555
U4 0.400 0.600
U5 0.450 0.550
U6 0.449 0.551
Group G2
Observed Residual
Variable Estimate Variance
U1 0.102 4.875
U2 0.107 4.825
U3 0.128 3.588
U4 0.115 3.618
U5 0.126 3.693
U6 0.132 3.484
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.681E-02
(ratio of smallest to largest eigenvalue)
Beginning Time: 23:39:09
Ending Time: 23:39:09
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) 1998-2010 Muthen & Muthen
Back to table of examples