Mplus VERSION 6
MUTHEN & MUTHEN
04/25/2010  11:07 PM

INPUT INSTRUCTIONS

  TITLE:                cfa3.inp  non-normal, no missing
  MONTECARLO:                NAMES ARE y1-y10;
                          NOBSERVATIONS = 265;
                         NREPS = 10000;
                          SEED = 53487;
                          CLASSES = C(1);
                          GENCLASSES = C(2);
                          SAVE = cfa3.sav;
  ANALYSIS:                 TYPE = MIXTURE;
                          ESTIMATOR = MLR;
  MODEL MONTECARLO:
                          %OVERALL%
                          f1 BY y1-y5*.8;
                          f2 BY y6-y10*.8;
                          f1@1 f2@1;
                          y1-y5*.36 y6-y10*9;
                          f1 WITH f2*.95;
                          [C#1@-2];

                          %C#1%

                          [f1@0 f2@15];
                          f1@1 f2@5;

                          %C#2%

                          [f1@0 f2@0];
                          f1@1 f2@1;
  MODEL:
                          %OVERALL%
                            f1 BY y1-y5*.8;
                          f2 BY y6-y10*4;
                          f1@1 f2@1;
                          y1-y5*.36 y6-y10*9;
                          f1 WITH f2*.20;

                          [y6-y10*1.42];
  OUTPUT:           TECH9;



INPUT READING TERMINATED NORMALLY



cfa3.inp  non-normal, no missing

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                         265

Number of replications
    Requested                                                10000
    Completed                                                10000
Value of seed                                                53487

Number of dependent variables                                   10
Number of independent variables                                  0
Number of continuous latent variables                            2
Number of categorical latent variables                           1

Observed dependent variables

  Continuous
   Y1          Y2          Y3          Y4          Y5          Y6
   Y7          Y8          Y9          Y10

Continuous latent variables
   F1          F2

Categorical latent variables
   C


Estimator                                                      MLR
Information matrix                                        OBSERVED
Optimization Specifications for the Quasi-Newton Algorithm for
Continuous Outcomes
  Maximum number of iterations                                 100
  Convergence criterion                                  0.100D-05
Optimization Specifications for the EM Algorithm
  Maximum number of iterations                                 500
  Convergence criteria
    Loglikelihood change                                 0.100D-06
    Relative loglikelihood change                        0.100D-06
    Derivative                                           0.100D-05
Optimization Specifications for the M step of the EM Algorithm for
Categorical Latent variables
  Number of M step iterations                                    1
  M step convergence criterion                           0.100D-05
  Basis for M step termination                           ITERATION
Optimization Specifications for the M step of the EM Algorithm for
Censored, Binary or Ordered Categorical (Ordinal), Unordered
Categorical (Nominal) and Count Outcomes
  Number of M step iterations                                    1
  M step convergence criterion                           0.100D-05
  Basis for M step termination                           ITERATION
  Maximum value for logit thresholds                            15
  Minimum value for logit thresholds                           -15
  Minimum expected cell size for chi-square              0.100D-01
Optimization algorithm                                         EMA


SAMPLE STATISTICS FOR THE FIRST REPLICATION


     SAMPLE STATISTICS


           Means
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1              0.001         0.000         0.007        -0.045        -0.044


           Means
              Y6            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 1              1.170         1.437         1.231         1.165         1.109


           Covariances
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             1.026
 Y2             0.701         1.014
 Y3             0.634         0.614         1.014
 Y4             0.616         0.639         0.643         0.962
 Y5             0.568         0.599         0.565         0.619         0.918
 Y6            -0.095        -0.262         0.360        -0.153         0.032
 Y7             0.210         0.052         0.313         0.335         0.120
 Y8             0.345        -0.026         0.649         0.435         0.278
 Y9            -0.081        -0.336         0.482         0.044         0.026
 Y10            0.346        -0.034         0.346         0.123         0.080


           Covariances
              Y6            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 Y6            20.712
 Y7            11.656        20.941
 Y8            12.110        11.905        20.960
 Y9            12.900        12.353        13.561        22.666
 Y10           11.612        11.176        12.129        12.924        20.333


           Correlations
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             1.000
 Y2             0.687         1.000
 Y3             0.621         0.605         1.000
 Y4             0.620         0.647         0.651         1.000
 Y5             0.585         0.621         0.586         0.658         1.000
 Y6            -0.021        -0.057         0.079        -0.034         0.007
 Y7             0.045         0.011         0.068         0.075         0.027
 Y8             0.074        -0.006         0.141         0.097         0.063
 Y9            -0.017        -0.070         0.100         0.009         0.006
 Y10            0.076        -0.007         0.076         0.028         0.019


           Correlations
              Y6            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 Y6             1.000
 Y7             0.560         1.000
 Y8             0.581         0.568         1.000
 Y9             0.595         0.567         0.622         1.000
 Y10            0.566         0.542         0.588         0.602         1.000




TESTS OF MODEL FIT

Number of Free Parameters                       31

Loglikelihood

    H0 Value

        Mean                             -5126.647
        Std Dev                             39.581
        Number of successful computations    10000

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.990        -5218.724      -5219.493
           0.980       0.980        -5207.934      -5208.018
           0.950       0.953        -5191.754      -5190.715
           0.900       0.904        -5177.374      -5176.595
           0.800       0.800        -5159.958      -5159.991
           0.700       0.694        -5147.403      -5147.971
           0.500       0.499        -5126.647      -5126.758
           0.300       0.298        -5105.891      -5106.081
           0.200       0.198        -5093.336      -5093.745
           0.100       0.098        -5075.920      -5076.406
           0.050       0.049        -5061.540      -5061.857
           0.020       0.020        -5045.360      -5045.394
           0.010       0.011        -5034.570      -5033.568

Information Criteria

    Akaike (AIC)

        Mean                             10315.294
        Std Dev                             79.162
        Number of successful computations    10000

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.989        10131.140      10129.105
           0.980       0.980        10152.719      10152.668
           0.950       0.951        10185.081      10185.651
           0.900       0.902        10213.840      10214.634
           0.800       0.802        10248.671      10249.440
           0.700       0.702        10273.782      10274.160
           0.500       0.501        10315.294      10315.512
           0.300       0.306        10356.807      10357.932
           0.200       0.200        10381.917      10381.876
           0.100       0.096        10416.748      10415.120
           0.050       0.047        10445.508      10443.421
           0.020       0.020        10477.869      10478.034
           0.010       0.010        10499.448      10499.943

    Bayesian (BIC)

        Mean                             10426.266
        Std Dev                             79.162
        Number of successful computations    10000

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.989        10242.111      10240.077
           0.980       0.980        10263.691      10263.639
           0.950       0.951        10296.052      10296.622
           0.900       0.902        10324.812      10325.605
           0.800       0.802        10359.643      10360.412
           0.700       0.702        10384.753      10385.131
           0.500       0.501        10426.266      10426.483
           0.300       0.306        10467.778      10468.904
           0.200       0.200        10492.888      10492.848
           0.100       0.096        10527.720      10526.092
           0.050       0.047        10556.479      10554.393
           0.020       0.020        10588.841      10589.006
           0.010       0.010        10610.420      10610.915

    Sample-Size Adjusted BIC (n* = (n + 2) / 24)

        Mean                             10327.979
        Std Dev                             79.162
        Number of successful computations    10000

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.989        10143.825      10141.790
           0.980       0.980        10165.404      10165.353
           0.950       0.951        10197.766      10198.336
           0.900       0.902        10226.525      10227.319
           0.800       0.802        10261.356      10262.125
           0.700       0.702        10286.467      10286.845
           0.500       0.501        10327.979      10328.197
           0.300       0.306        10369.492      10370.617
           0.200       0.200        10394.602      10394.561
           0.100       0.096        10429.433      10427.806
           0.050       0.047        10458.193      10456.106
           0.020       0.020        10490.554      10490.719
           0.010       0.010        10512.134      10512.628



FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THE ESTIMATED MODEL

    Latent
   Classes

       1        265.00000          1.00000


FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON ESTIMATED POSTERIOR PROBABILITIES

    Latent
   Classes

       1        265.00000          1.00000


CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP

Class Counts and Proportions

    Latent
   Classes

       1              265          1.00000


Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)

           1

    1   1.000


MODEL RESULTS

                           ESTIMATES              S. E.     M. S. E.  95%  % Sig
              Population   Average   Std. Dev.   Average             Cover Coeff
Latent Class 1

 F1       BY
  Y1               0.800     0.7981     0.0536     0.0523     0.0029 0.938 1.000
  Y2               0.800     0.7980     0.0531     0.0524     0.0028 0.942 1.000
  Y3               0.800     0.7976     0.0535     0.0523     0.0029 0.942 1.000
  Y4               0.800     0.7987     0.0534     0.0524     0.0029 0.945 1.000
  Y5               0.800     0.7984     0.0527     0.0524     0.0028 0.947 1.000

 F2       BY
  Y6               4.000     3.9880     0.3596     0.3552     0.1294 0.944 1.000
  Y7               4.000     3.9908     0.3600     0.3555     0.1297 0.945 1.000
  Y8               4.000     3.9857     0.3607     0.3552     0.1303 0.944 1.000
  Y9               4.000     3.9890     0.3614     0.3551     0.1307 0.941 1.000
  Y10              4.000     3.9886     0.3596     0.3555     0.1294 0.943 1.000

 F1       WITH
  F2               0.200     0.1915     0.0684     0.0664     0.0048 0.938 0.797

 Means
  F1               0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000
  F2               0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000

 Intercepts
  Y1               0.000     0.0008     0.0613     0.0613     0.0038 0.948 0.052
  Y2               0.000     0.0004     0.0626     0.0613     0.0039 0.943 0.057
  Y3               0.000     0.0013     0.0618     0.0612     0.0038 0.946 0.054
  Y4               0.000     0.0006     0.0617     0.0613     0.0038 0.947 0.052
  Y5               0.000     0.0010     0.0621     0.0613     0.0039 0.947 0.053
  Y6               1.420     1.4296     0.3093     0.3063     0.0958 0.945 0.999
  Y7               1.420     1.4306     0.3096     0.3065     0.0959 0.946 0.999
  Y8               1.420     1.4288     0.3078     0.3063     0.0948 0.947 0.999
  Y9               1.420     1.4298     0.3072     0.3064     0.0945 0.948 0.998
  Y10              1.420     1.4306     0.3098     0.3065     0.0961 0.947 0.999

 Variances
  F1               1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000
  F2               1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000

 Residual Variances
  Y1               0.360     0.3569     0.0389     0.0388     0.0015 0.940 1.000
  Y2               0.360     0.3577     0.0395     0.0389     0.0016 0.935 1.000
  Y3               0.360     0.3570     0.0394     0.0388     0.0016 0.936 1.000
  Y4               0.360     0.3572     0.0397     0.0388     0.0016 0.934 1.000
  Y5               0.360     0.3571     0.0396     0.0388     0.0016 0.934 1.000
  Y6               9.000     8.9203     0.9848     0.9685     0.9760 0.935 1.000
  Y7               9.000     8.9304     0.9941     0.9692     0.9929 0.937 1.000
  Y8               9.000     8.9348     0.9771     0.9699     0.9590 0.938 1.000
  Y9               9.000     8.9165     0.9927     0.9679     0.9923 0.935 1.000
  Y10              9.000     8.9384     0.9839     0.9709     0.9718 0.936 1.000


QUALITY OF NUMERICAL RESULTS

     Average Condition Number for the Information Matrix      0.409E-03
       (ratio of smallest to largest eigenvalue)


TECHNICAL 1 OUTPUT


     PARAMETER SPECIFICATION FOR LATENT CLASS 1


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1                  1             2             3             4             5


           NU
              Y6            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 1                  6             7             8             9            10


           LAMBDA
              F1            F2
              ________      ________
 Y1                11             0
 Y2                12             0
 Y3                13             0
 Y4                14             0
 Y5                15             0
 Y6                 0            16
 Y7                 0            17
 Y8                 0            18
 Y9                 0            19
 Y10                0            20


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1                21
 Y2                 0            22
 Y3                 0             0            23
 Y4                 0             0             0            24
 Y5                 0             0             0             0            25
 Y6                 0             0             0             0             0
 Y7                 0             0             0             0             0
 Y8                 0             0             0             0             0
 Y9                 0             0             0             0             0
 Y10                0             0             0             0             0


           THETA
              Y6            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 Y6                26
 Y7                 0            27
 Y8                 0             0            28
 Y9                 0             0             0            29
 Y10                0             0             0             0            30


           ALPHA
              F1            F2
              ________      ________
 1                  0             0


           BETA
              F1            F2
              ________      ________
 F1                 0             0
 F2                 0             0


           PSI
              F1            F2
              ________      ________
 F1                 0
 F2                31             0


     PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              C#1
              ________
 1                  0


     STARTING VALUES FOR LATENT CLASS 1


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           NU
              Y6            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 1              1.420         1.420         1.420         1.420         1.420


           LAMBDA
              F1            F2
              ________      ________
 Y1             0.800         0.000
 Y2             0.800         0.000
 Y3             0.800         0.000
 Y4             0.800         0.000
 Y5             0.800         0.000
 Y6             0.000         4.000
 Y7             0.000         4.000
 Y8             0.000         4.000
 Y9             0.000         4.000
 Y10            0.000         4.000


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             0.360
 Y2             0.000         0.360
 Y3             0.000         0.000         0.360
 Y4             0.000         0.000         0.000         0.360
 Y5             0.000         0.000         0.000         0.000         0.360
 Y6             0.000         0.000         0.000         0.000         0.000
 Y7             0.000         0.000         0.000         0.000         0.000
 Y8             0.000         0.000         0.000         0.000         0.000
 Y9             0.000         0.000         0.000         0.000         0.000
 Y10            0.000         0.000         0.000         0.000         0.000


           THETA
              Y6            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 Y6             9.000
 Y7             0.000         9.000
 Y8             0.000         0.000         9.000
 Y9             0.000         0.000         0.000         9.000
 Y10            0.000         0.000         0.000         0.000         9.000


           ALPHA
              F1            F2
              ________      ________
 1              0.000         0.000


           BETA
              F1            F2
              ________      ________
 F1             0.000         0.000
 F2             0.000         0.000


           PSI
              F1            F2
              ________      ________
 F1             1.000
 F2             0.200         1.000


     STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              C#1
              ________
 1              0.000


     POPULATION VALUES FOR LATENT CLASS 1


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           NU
              Y6            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           LAMBDA
              F1            F2
              ________      ________
 Y1             0.800         0.000
 Y2             0.800         0.000
 Y3             0.800         0.000
 Y4             0.800         0.000
 Y5             0.800         0.000
 Y6             0.000         0.800
 Y7             0.000         0.800
 Y8             0.000         0.800
 Y9             0.000         0.800
 Y10            0.000         0.800


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             0.360
 Y2             0.000         0.360
 Y3             0.000         0.000         0.360
 Y4             0.000         0.000         0.000         0.360
 Y5             0.000         0.000         0.000         0.000         0.360
 Y6             0.000         0.000         0.000         0.000         0.000
 Y7             0.000         0.000         0.000         0.000         0.000
 Y8             0.000         0.000         0.000         0.000         0.000
 Y9             0.000         0.000         0.000         0.000         0.000
 Y10            0.000         0.000         0.000         0.000         0.000


           THETA
              Y6            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 Y6             9.000
 Y7             0.000         9.000
 Y8             0.000         0.000         9.000
 Y9             0.000         0.000         0.000         9.000
 Y10            0.000         0.000         0.000         0.000         9.000


           ALPHA
              F1            F2
              ________      ________
 1              0.000        15.000


           BETA
              F1            F2
              ________      ________
 F1             0.000         0.000
 F2             0.000         0.000


           PSI
              F1            F2
              ________      ________
 F1             1.000
 F2             0.950         5.000


     POPULATION VALUES FOR LATENT CLASS 2


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           NU
              Y6            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           LAMBDA
              F1            F2
              ________      ________
 Y1             0.800         0.000
 Y2             0.800         0.000
 Y3             0.800         0.000
 Y4             0.800         0.000
 Y5             0.800         0.000
 Y6             0.000         0.800
 Y7             0.000         0.800
 Y8             0.000         0.800
 Y9             0.000         0.800
 Y10            0.000         0.800


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             0.360
 Y2             0.000         0.360
 Y3             0.000         0.000         0.360
 Y4             0.000         0.000         0.000         0.360
 Y5             0.000         0.000         0.000         0.000         0.360
 Y6             0.000         0.000         0.000         0.000         0.000
 Y7             0.000         0.000         0.000         0.000         0.000
 Y8             0.000         0.000         0.000         0.000         0.000
 Y9             0.000         0.000         0.000         0.000         0.000
 Y10            0.000         0.000         0.000         0.000         0.000


           THETA
              Y6            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 Y6             9.000
 Y7             0.000         9.000
 Y8             0.000         0.000         9.000
 Y9             0.000         0.000         0.000         9.000
 Y10            0.000         0.000         0.000         0.000         9.000


           ALPHA
              F1            F2
              ________      ________
 1              0.000         0.000


           BETA
              F1            F2
              ________      ________
 F1             0.000         0.000
 F2             0.000         0.000


           PSI
              F1            F2
              ________      ________
 F1             1.000
 F2             0.950         1.000


     POPULATION VALUES FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              C#1           C#2
              ________      ________
 1             -2.000         0.000


TECHNICAL 9 OUTPUT

  Error messages for each replication (if any)



SAVEDATA INFORMATION

  Order of variables

    Y1
    Y2
    Y3
    Y4
    Y5
    Y6
    Y7
    Y8
    Y9
    Y10
    C

  Save file
    cfa3.sav

  Save file format           Free
  Save file record length    5000


     Beginning Time:  23:07:43
        Ending Time:  23:09:54
       Elapsed Time:  00:02:11



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