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

INPUT INSTRUCTIONS

! SCRIPT NAME        : ctVCut2c  (cb)
! GOAL                : To evaluate best model for variance components A C E
! DATA                : ordinal
! INPUT                : contingency tables
! UNI/BI/MULTI        : uni
! DATA-GROUPS        : MZ DZ
! MEANS MODEL        : -
! VARIANCE COVARIANCE MODEL(S)        :
! 1. ACE
! 2. AE
! 3. CE
! 4. E

data: file is ct.dat;

variable: names are g y1 y2 weight;
categorical=y1 y2;
grouping=g(1=MZ 2=DZ);  ! specify the two groups MZ and DZ
freqweight=weight;

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

model dz:
y1 with y2 (dzc);

model constraint:

! Uncomment for Model ACE
new(a c e x y z);
a=x*x;
c=y*y;
e=1-x*x-y*y;
z=sqrt(1-x*x-y*y);
mzc=x*x+y*y;
dzc=0.5*x*x+y*y;

! Uncomment for Model AE
! c=0;

! Uncomment for Model CE
! a=0;

! Uncomment for Model E
! a=0; c=0;

SUMMARY OF ANALYSIS

Number of groups                                                 2
Number of observations
Group MZ                                                    702
Group DZ                                                    726
Number of patterns
Group MZ                                                      4
Group DZ                                                      4

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
Weight variable       WEIGHT

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)
ct.dat

Input data format  FREE

UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES

Group MZ
Y1
Category 1    0.744      522.000
Category 2    0.256      180.000
Y2
Category 1    0.761      534.000
Category 2    0.239      168.000

Group DZ
Y1
Category 1    0.753      547.000
Category 2    0.247      179.000
Y2
Category 1    0.773      561.000
Category 2    0.227      165.000

THE MODEL ESTIMATION TERMINATED NORMALLY

TESTS OF MODEL FIT

Chi-Square Test of Model Fit

Value                              2.185*
Degrees of Freedom                     3
P-Value                           0.5349

Chi-Square Contributions From Each Group

MZ                                 0.885
DZ                                 1.300

*   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                             56.109
Degrees of Freedom                     2
P-Value                           0.0000

CFI/TLI

CFI                                1.000
TLI                                1.010

Number of Free Parameters                        3

RMSEA (Root Mean Square Error Of Approximation)

Estimate                           0.000

WRMR (Weighted Root Mean Square Residual)

Value                              0.826

MODEL RESULTS

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

Group MZ

Y1       WITH
Y2                 0.408      0.060      6.843      0.000

Thresholds
Y1\$1               0.699      0.028     25.145      0.000
Y2\$1               0.699      0.028     25.145      0.000

Group DZ

Y1       WITH
Y2                 0.204      0.068      3.001      0.003

Thresholds
Y1\$1               0.699      0.028     25.145      0.000
Y2\$1               0.699      0.028     25.145      0.000

A                  0.408      0.181      2.256      0.024
C                  0.000      0.148      0.000      1.000
E                  0.592      0.060      9.945      0.000
X                  0.638      0.141      4.512      0.000
Y                  0.002     42.196      0.000      1.000
Z                  0.770      0.039     19.890      0.000

QUALITY OF NUMERICAL RESULTS

Condition Number for the Information Matrix              0.370E-06
(ratio of smallest to largest eigenvalue)

Beginning Time:  22:57:38
Ending Time:  22:57:38
Elapsed Time:  00:00:00

MUTHEN & MUTHEN
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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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