```Mplus VERSION 6
MUTHEN & MUTHEN
04/25/2010  10:57 PM

INPUT INSTRUCTIONS

! SCRIPT NAME        : ordSATut2 (cvb)
! GOAL                : calculation of tetrachoric correlations, check assumptions of twin
! DATA                : ordinal
! INPUT                : raw data
! UNI/BI/MULTI        : uni
! DATA-GROUPS        : MZ DZ
! MEANS MODEL        : n.a.
! VARIANCE COVARIANCE MODEL(S)        : n.a.
! evaluated models:
! 1. no model
! 2. as 1, plus thresholds same for twin 1 and twin 2
! 3. as 2, plus thresholds same for MZ and DZ

data: file is ordraw1.dat;

variable: names are id y1 y2 zygot age;
categorical=y1 y2;
usevar are y1 y2 g;
grouping=g(1=MZ 2=DZ);  ! specify the two groups MZ and DZ
missing=all(-9); ! specify missing data symbol

define: if (zygot==1 .or. zygot==3) then g=1 else g=2; ! defines the two groups

model:
[y1\$1] (mzt1);
[y2\$1] (mzt2);
y1 with y2 (mzc);

model dz:
[y1\$1] (dzt1);
[y2\$1] (dzt2);
y1 with y2 (dzc);

model test:
! Uncomment to test equal thresholds for for twin 1 and twin 2
mzt1=mzt2;
dzt1=dzt2;

! Uncomment to test equal thresholds for MZ and DZ
! mzt1=dzt1;

SUMMARY OF ANALYSIS

Number of groups                                                 2
Number of observations
Group MZ                                                   1290
Group DZ                                                   1561

Number of dependent variables                                    2
Number of independent variables                                  0
Number of continuous latent variables                            0

Observed dependent variables

Binary and ordered categorical (ordinal)
Y1          Y2

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
Maximum number of iterations for H1                           2000
Convergence criterion for H1                             0.100D-03
Parameterization                                             DELTA

Input data file(s)
ordraw1.dat

Input data format  FREE

SUMMARY OF DATA

Group MZ
Number of missing data patterns             3

Group DZ
Number of missing data patterns             3

COVARIANCE COVERAGE OF DATA

Minimum covariance coverage value   0.100

PROPORTION OF DATA PRESENT FOR MZ

Covariance Coverage
Y1            Y2
________      ________
Y1             0.847
Y2             0.667         0.820

PROPORTION OF DATA PRESENT FOR DZ

Covariance Coverage
Y1            Y2
________      ________
Y1             0.756
Y2             0.491         0.735

UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES

Group MZ
Y1
Category 1    0.855      935.000
Category 2    0.145      158.000
Y2
Category 1    0.854      904.000
Category 2    0.146      154.000

Group DZ
Y1
Category 1    0.875     1033.000
Category 2    0.125      147.000
Y2
Category 1    0.852      977.000
Category 2    0.148      170.000

THE MODEL ESTIMATION TERMINATED NORMALLY

TESTS OF MODEL FIT

Chi-Square Test of Model Fit

Value                              0.000*
Degrees of Freedom                     0
P-Value                           0.0000

Chi-Square Contributions From Each Group

MZ                                 0.000
DZ                                 0.000

*   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                            202.081
Degrees of Freedom                     2
P-Value                           0.0000

CFI/TLI

CFI                                1.000
TLI                                1.000

Wald Test of Parameter Constraints

Value                              3.029
Degrees of Freedom                     2
P-Value                           0.2199

Number of Free Parameters                        6

RMSEA (Root Mean Square Error Of Approximation)

Estimate                           0.000

WRMR (Weighted Root Mean Square Residual)

Value                              0.001

MODEL RESULTS

Two-Tailed
Estimate       S.E.  Est./S.E.    P-Value

Group MZ

Y1       WITH
Y2                 0.667      0.049     13.707      0.000

Thresholds
Y1\$1               1.060      0.047     22.668      0.000
Y2\$1               1.056      0.047     22.250      0.000

Group DZ

Y1       WITH
Y2                 0.308      0.082      3.766      0.000

Thresholds
Y1\$1               1.152      0.047     24.618      0.000
Y2\$1               1.044      0.045     23.020      0.000

QUALITY OF NUMERICAL RESULTS

Condition Number for the Information Matrix              0.308E+00
(ratio of smallest to largest eigenvalue)

Beginning Time:  22:57:39
Ending Time:  22:57:39
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
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