Mplus VERSION 7
MUTHEN & MUTHEN
09/22/2012  10:55 PM

INPUT INSTRUCTIONS

  TITLE:	this is an example of a multiple group CFA with covariates (MIMIC)
  with categorical factor indicators and a threshold structure
  using the Theta parameterization
  DATA:	FILE IS ex5.17.dat;
  VARIABLE:	NAMES ARE u1-u6 x1-x3 g;
  	CATEGORICAL ARE u1-u6;
  	GROUPING IS g (1=male 2=female);
  ANALYSIS: PARAMETERIZATION = THETA;
  MODEL:	f1 BY u1-u3;
  	f2 BY u4-u6;
  	f1 f2 ON x1-x3;
  MODEL female:
  	f1 BY u3;
  	[u3$1];
  	u3@1;




INPUT READING TERMINATED NORMALLY



this is an example of a multiple group CFA with covariates (MIMIC)
with categorical factor indicators and a threshold structure
using the Theta parameterization

SUMMARY OF ANALYSIS

Number of groups                                                 2
Number of observations
   Group MALE                                                 1000
   Group FEMALE                                               1200

Number of dependent variables                                    6
Number of independent variables                                  3
Number of continuous latent variables                            2

Observed dependent variables

  Binary and ordered categorical (ordinal)
   U1          U2          U3          U4          U5          U6

Observed independent variables
   X1          X2          X3

Continuous latent variables
   F1          F2

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                                             THETA

Input data file(s)
  ex5.17.dat

Input data format  FREE


UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES

  Group MALE
    U1
      Category 1    0.260      260.000
      Category 2    0.740      740.000
    U2
      Category 1    0.354      354.000
      Category 2    0.646      646.000
    U3
      Category 1    0.432      432.000
      Category 2    0.568      568.000
    U4
      Category 1    0.495      495.000
      Category 2    0.505      505.000
    U5
      Category 1    0.547      547.000
      Category 2    0.453      453.000
    U6
      Category 1    0.631      631.000
      Category 2    0.369      369.000

  Group FEMALE
    U1
      Category 1    0.271      325.000
      Category 2    0.729      875.000
    U2
      Category 1    0.382      458.000
      Category 2    0.618      742.000
    U3
      Category 1    0.692      831.000
      Category 2    0.308      369.000
    U4
      Category 1    0.512      614.000
      Category 2    0.488      586.000
    U5
      Category 1    0.571      685.000
      Category 2    0.429      515.000
    U6
      Category 1    0.638      766.000
      Category 2    0.362      434.000



THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       37

Chi-Square Test of Model Fit

          Value                             33.719*
          Degrees of Freedom                    41
          P-Value                           0.7830

Chi-Square Contributions From Each Group

          MALE                              16.002
          FEMALE                            17.717

*   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.

RMSEA (Root Mean Square Error Of Approximation)

          Estimate                           0.000
          90 Percent C.I.                    0.000  0.014
          Probability RMSEA <= .05           1.000

CFI/TLI

          CFI                                1.000
          TLI                                1.002

Chi-Square Test of Model Fit for the Baseline Model

          Value                           6573.773
          Degrees of Freedom                    66
          P-Value                           0.0000

WRMR (Weighted Root Mean Square Residual)

          Value                              0.740



MODEL RESULTS

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

Group MALE

 F1       BY
    U1                 1.000      0.000    999.000    999.000
    U2                 0.861      0.152      5.660      0.000
    U3                 0.922      0.167      5.514      0.000

 F2       BY
    U4                 1.000      0.000    999.000    999.000
    U5                 1.006      0.143      7.046      0.000
    U6                 0.974      0.140      6.943      0.000

 F1       ON
    X1                 0.980      0.145      6.762      0.000
    X2                 1.080      0.152      7.082      0.000
    X3                 1.316      0.177      7.455      0.000

 F2       ON
    X1                 1.158      0.130      8.894      0.000
    X2                 1.112      0.124      8.974      0.000
    X3                 0.809      0.104      7.792      0.000

 F2       WITH
    F1                 0.018      0.152      0.116      0.907

 Intercepts
    F1                 0.000      0.000    999.000    999.000
    F2                 0.000      0.000    999.000    999.000

 Thresholds
    U1$1              -1.777      0.223     -7.970      0.000
    U2$1              -0.945      0.129     -7.356      0.000
    U3$1              -0.425      0.096     -4.444      0.000
    U4$1              -0.024      0.081     -0.296      0.767
    U5$1               0.358      0.083      4.310      0.000
    U6$1               0.881      0.112      7.865      0.000

 Residual Variances
    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
    F1                 2.851      0.754      3.783      0.000
    F2                 2.234      0.465      4.808      0.000

Group FEMALE

 F1       BY
    U1                 1.000      0.000    999.000    999.000
    U2                 0.861      0.152      5.660      0.000
    U3                 0.453      0.106      4.280      0.000

 F2       BY
    U4                 1.000      0.000    999.000    999.000
    U5                 1.006      0.143      7.046      0.000
    U6                 0.974      0.140      6.943      0.000

 F1       ON
    X1                 0.784      0.181      4.324      0.000
    X2                 0.930      0.212      4.396      0.000
    X3                 1.030      0.233      4.412      0.000

 F2       ON
    X1                 1.401      0.248      5.640      0.000
    X2                 1.164      0.211      5.523      0.000
    X3                 0.953      0.177      5.378      0.000

 F2       WITH
    F1                -0.139      0.130     -1.066      0.286

 Intercepts
    F1                -0.329      0.259     -1.271      0.204
    F2                -0.062      0.114     -0.544      0.586

 Thresholds
    U1$1              -1.777      0.223     -7.970      0.000
    U2$1              -0.945      0.129     -7.356      0.000
    U3$1               0.500      0.148      3.384      0.001
    U4$1              -0.024      0.081     -0.296      0.767
    U5$1               0.358      0.083      4.310      0.000
    U6$1               0.881      0.112      7.865      0.000

 Residual Variances
    U1                 0.546      0.270      2.019      0.043
    U2                 0.534      0.301      1.776      0.076
    U3                 1.000      0.000    999.000    999.000
    U4                 0.983      0.392      2.508      0.012
    U5                 1.044      0.411      2.542      0.011
    U6                 1.165      0.416      2.802      0.005
    F1                 1.597      0.718      2.225      0.026
    F2                 2.679      0.932      2.875      0.004


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.584E-03
       (ratio of smallest to largest eigenvalue)


     Beginning Time:  22:55:30
        Ending Time:  22:55:30
       Elapsed Time:  00:00:00



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