Mplus VERSION 5.1
MUTHEN & MUTHEN
05/05/2008 9:48 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
SUMMARY OF CATEGORICAL DATA PROPORTIONS
Group G1
U1
Category 1 0.186
Category 2 0.706
Category 3 0.108
U2
Category 1 0.160
Category 2 0.720
Category 3 0.120
U3
Category 1 0.170
Category 2 0.684
Category 3 0.146
U4
Category 1 0.178
Category 2 0.676
Category 3 0.146
U5
Category 1 0.174
Category 2 0.676
Category 3 0.150
U6
Category 1 0.170
Category 2 0.688
Category 3 0.142
Group G2
U1
Category 1 0.347
Category 2 0.345
Category 3 0.308
U2
Category 1 0.333
Category 2 0.382
Category 3 0.285
U3
Category 1 0.302
Category 2 0.385
Category 3 0.313
U4
Category 1 0.295
Category 2 0.363
Category 3 0.342
U5
Category 1 0.342
Category 2 0.368
Category 3 0.290
U6
Category 1 0.305
Category 2 0.372
Category 3 0.323
THE MODEL ESTIMATION TERMINATED NORMALLY
TESTS OF MODEL FIT
Chi-Square Test of Model Fit
Value 27.176*
Degrees of Freedom 25**
P-Value 0.3471
Chi-Square Contributions From Each Group
G1 10.098
G2 17.078
Chi-Square Test for Difference Testing
Value 12.973
Degrees of Freedom 10**
P-Value 0.2252
* The chi-square value for MLM, MLMV, MLR, ULSMV, WLSM and WLSMV cannot be used
for chi-square difference tests. MLM, MLR and WLSM chi-square difference
testing is described in the Mplus Technical Appendices at www.statmodel.com.
See chi-square difference testing in the index of the Mplus User's Guide.
** The degrees of freedom for MLMV, ULSMV and WLSMV are estimated according to
a formula given in the Mplus Technical Appendices at www.statmodel.com.
See degrees of freedom in the index of the Mplus User's Guide.
Chi-Square Test of Model Fit for the Baseline Model
Value 955.057
Degrees of Freedom 23
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 0.013
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 16.772 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 16.772 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 14.064 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 14.329 0.000
U5 0.487 0.034 14.112 0.000
U6 0.499 0.033 15.267 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 3.589
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: 21:48:43
Ending Time: 21:48:43
Elapsed Time: 00:00:00
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