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

INPUT INSTRUCTIONS

! SCRIPT NAME        : ctSATut6 (cb)
! GOAL                : To calculate tetrachoric correlations
! DATA                : ordinal
! INPUT                : contingency tables
! UNI/BI/MULTI        : uni
! DATA-GROUPS        : MZM DZM MZF DZF DOSMF DOSFM
! MEANS MODEL        : -
! VARIANCE COVARIANCE MODEL(S)        :
! 1. no model
! 2. as 1, plus thresholds same for twin 1 and twin 2 (but different for DOS twins)
! 3. as 2, plus thresholds same for DZ-ss and DZ-os of the same sex
! 4. as 3, plus thresholds same for MZ and DZ
! 5. as 4, plus thresholds same for males and females but correlations different for 6 gro
! 6. as 5, plus correlations of DOS-MF = DOS-FM
! 7. as 6, plus correlations MZM = MZF and DZM = DZF = DOS-MF = DOS-FM (no sex differences
! 8. as 4, plus correlations of DOS-MF = DOS-FM, but thresholds differ for males and femal
! 9. as 8, plus correlations MZM = MZF and DZM = DZF = DOS-MF = DOS-FM but thresholds diff

data: file is ct6.dat;

variable: names are g y1 y2 weight;
categorical=y1 y2;
grouping=g(1=MZM 2=DZM 3=MZF 4=DZF 5=DOSMF 6=DOSFM);  ! specify the groups
freqweight=weight;

analysis: conv=0.000001;

model:
[y1\$1] (mzmt1);
[y2\$1] (mzmt2);
y1 with y2 (mzmc);

model dzm:
[y1\$1] (dzmt1);
[y2\$1] (dzmt2);
y1 with y2 (dzmc);

model mzf:
[y1\$1] (mzft1);
[y2\$1] (mzft2);
y1 with y2 (mzfc);

model dzf:
[y1\$1] (dzft1);
[y2\$1] (dzft2);
y1 with y2 (dzfc);

model dosmf:
[y1\$1] (dosmft1);
[y2\$1] (dosmft2);
y1 with y2 (dosmfc);

model dosfm:
[y1\$1] (dosfmt1);
[y2\$1] (dosfmt2);
y1 with y2 (dosfmc);

! model test will produce Wald's test for these constraints
model test:

! Uncomment to test equal thresholds for for twin 1 and twin 2
mzmt1 = mzmt2;
dzmt1 = dzmt2;
mzft1 = mzft2;
dzft1 = dzft2;
dosfmt1 = dosmft2;
dosfmt2 = dosmft1;

! Uncomment to test equal thresholds for same for DZ-ss and DZ-os of the same sex
! dzmt1 = dosmft1;
! dzft1 = dosfmt1;

! Uncomment to test equal thresholds for MZ and DZ
! mzmt1 = dzmt1;
! mzft1 = dzft1;

! Uncomment to test equal thresholds across gender
! mzmt1 = mzft1;

! Uncomment to test correlations of DOS-MF = DOS-FM
! dosfmc = dosmfc;

! Uncomment to test no sex differences on correlation
! correlations MZM = MZF and DZM = DZF = DOS-MF = DOS-FM (no sex differences)
! mzmc = mzfc;
! dzmc = dzfc;
! dzmc = dosfmc;

*** WARNING
Input line exceeded 90 characters. Some input may be truncated.
! 5. as 4, plus thresholds same for males and females but correlations different for 6 grou
*** WARNING
Input line exceeded 90 characters. Some input may be truncated.
! 7. as 6, plus correlations MZM = MZF and DZM = DZF = DOS-MF = DOS-FM (no sex differences)
*** WARNING
Input line exceeded 90 characters. Some input may be truncated.
! 8. as 4, plus correlations of DOS-MF = DOS-FM, but thresholds differ for males and female
*** WARNING
Input line exceeded 90 characters. Some input may be truncated.
! 9. as 8, plus correlations MZM = MZF and DZM = DZF = DOS-MF = DOS-FM but thresholds diffe
4 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS

SUMMARY OF ANALYSIS

Number of groups                                                 6
Number of observations
Group MZM                                                   243
Group DZM                                                   137
Group MZF                                                   620
Group DZF                                                   317
Group DOSMF                                                 173
Group DOSFM                                                 140
Number of patterns
Group MZM                                                     4
Group DZM                                                     4
Group MZF                                                     4
Group DZF                                                     4
Group DOSMF                                                   4
Group DOSFM                                                   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                                    0.100D-05
Maximum number of steepest descent iterations                   20
Parameterization                                             DELTA

Input data file(s)
ct6.dat

Input data format  FREE

UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES

Group MZM
Y1
Category 1    0.951      231.000
Category 2    0.049       12.000
Y2
Category 1    0.934      227.000
Category 2    0.066       16.000

Group DZM
Y1
Category 1    0.942      129.000
Category 2    0.058        8.000
Y2
Category 1    0.927      127.000
Category 2    0.073       10.000

Group MZF
Y1
Category 1    0.821      509.000
Category 2    0.179      111.000
Y2
Category 1    0.832      516.000
Category 2    0.168      104.000

Group DZF
Y1
Category 1    0.864      274.000
Category 2    0.136       43.000
Y2
Category 1    0.817      259.000
Category 2    0.183       58.000

Group DOSMF
Y1
Category 1    0.908      157.000
Category 2    0.092       16.000
Y2
Category 1    0.809      140.000
Category 2    0.191       33.000

Group DOSFM
Y1
Category 1    0.879      123.000
Category 2    0.121       17.000
Y2
Category 1    0.914      128.000
Category 2    0.086       12.000

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

MZM                                0.000
DZM                                0.000
MZF                                0.000
DZF                                0.000
DOSMF                              0.000
DOSFM                              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                            173.209
Degrees of Freedom                     6
P-Value                           0.0000

CFI/TLI

CFI                                1.000
TLI                                1.000

Wald Test of Parameter Constraints

Value                              7.572
Degrees of Freedom                     6
P-Value                           0.2712

Number of Free Parameters                       18

RMSEA (Root Mean Square Error Of Approximation)

Estimate                           0.000

WRMR (Weighted Root Mean Square Residual)

Value                              0.000

MODEL RESULTS

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

Group MZM

Y1       WITH
Y2                 0.651      0.138      4.712      0.000

Thresholds
Y1\$1               1.651      0.136     12.129      0.000
Y2\$1               1.507      0.124     12.135      0.000

Group DZM

Y1       WITH
Y2                 0.158      0.291      0.543      0.587

Thresholds
Y1\$1               1.568      0.172      9.130      0.000
Y2\$1               1.454      0.160      9.070      0.000

Group MZF

Y1       WITH
Y2                 0.646      0.055     11.682      0.000

Thresholds
Y1\$1               0.919      0.059     15.610      0.000
Y2\$1               0.963      0.060     16.103      0.000

Group DZF

Y1       WITH
Y2                 0.333      0.112      2.970      0.003

Thresholds
Y1\$1               1.100      0.088     12.460      0.000
Y2\$1               0.904      0.082     11.037      0.000

Group DOSMF

Y1       WITH
Y2                 0.319      0.167      1.909      0.056

Thresholds
Y1\$1               1.326      0.133      9.973      0.000
Y2\$1               0.875      0.110      7.969      0.000

Group DOSFM

Y1       WITH
Y2                 0.283      0.211      1.338      0.181

Thresholds
Y1\$1               1.168      0.137      8.534      0.000
Y2\$1               1.368      0.151      9.052      0.000

QUALITY OF NUMERICAL RESULTS

Condition Number for the Information Matrix              0.362E-01
(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

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Fax: (310) 391-8971
Web: www.StatModel.com
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Copyright (c) 1998-2010 Muthen & Muthen
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