Mplus VERSION 7.2
MUTHEN & MUTHEN
05/07/2014   2:04 PM

INPUT INSTRUCTIONS

  title:
  	this is an example of a factor mixture analysis
      with continuous latent class indicators

  montecarlo:
  	names are y1-y8;
  	genclasses = c(2);
  	classes = c(2);
  	nobs = 2000;
  	seed = 3454367;
  	nrep = 1;
  	save = ex4.4.dat;

  model population:

  	%overall%

      f1 by y1-y4*1;
      f2 by y5-y8*1;
      y1-y8*.5;
      f1-f2@1;
      [f1-f2@0];

  	[c#1*0];
  	
  	%c#1%
      f1 by y1-y4*1;
      f2 by y5-y8*.5;
  	[y1*2 y2*2 y3*2 y4*2 y5*-1 y6*-1 y7*-1 y8*-1];

  	%c#2%
      f1 by y1-y4*.5;
      f2 by y5-y8*1;
  	[y1*-1 y2*-1 y3*-1 y4*-1 y5*2 y6*2 y7*2 y8*2];

  analysis:
  	type = mixture;

  model:
     %overall%

      f1 by y1-y4*1;
      f2 by y5-y8*1;
      y1-y8*.5;
      f1-f2@1;
      [f1-f2@0];

  	[c#1*0];
  	
  	%c#1%
      f1 by y1-y4*1;
      f2 by y5-y8*.5;
  	[y1*2 y2*2 y3*2 y4*2 y5*-1 y6*-1 y7*-1 y8*-1];

  	%c#2%
      f1 by y1-y4*.5;
      f2 by y5-y8*1;
  	[y1*-1 y2*-1 y3*-1 y4*-1 y5*2 y6*2 y7*2 y8*2];


  output:
  	tech8 tech9;
  	
  	
  	

  	
  	



INPUT READING TERMINATED NORMALLY




this is an example of a factor mixture analysis
with continuous latent class indicators

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                        2000

Number of replications
    Requested                                                    1
    Completed                                                    1
Value of seed                                              3454367

Number of dependent variables                                    8
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

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              0.504         0.478         0.515         0.512         0.459


           Means
              Y6            Y7            Y8
              ________      ________      ________
 1              0.476         0.464         0.418


           Covariances
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             3.347
 Y2             2.785         3.259
 Y3             2.839         2.806         3.368
 Y4             2.807         2.793         2.861         3.326
 Y5            -2.211        -2.205        -2.204        -2.217         3.309
 Y6            -2.160        -2.129        -2.174        -2.180         2.771
 Y7            -2.194        -2.141        -2.157        -2.185         2.788
 Y8            -2.217        -2.171        -2.202        -2.213         2.781


           Covariances
              Y6            Y7            Y8
              ________      ________      ________
 Y6             3.194
 Y7             2.753         3.298
 Y8             2.740         2.798         3.306


           Correlations
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             1.000
 Y2             0.843         1.000
 Y3             0.846         0.847         1.000
 Y4             0.841         0.848         0.855         1.000
 Y5            -0.664        -0.671        -0.660        -0.668         1.000
 Y6            -0.661        -0.660        -0.663        -0.669         0.852
 Y7            -0.660        -0.653        -0.647        -0.660         0.844
 Y8            -0.666        -0.661        -0.660        -0.667         0.841


           Correlations
              Y6            Y7            Y8
              ________      ________      ________
 Y6             1.000
 Y7             0.848         1.000
 Y8             0.843         0.848         1.000




MODEL FIT INFORMATION

Number of Free Parameters                       42

Loglikelihood

    H0 Value

        Mean                            -21822.867
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000       -21822.867     -21822.867
           0.980       0.000       -21822.867     -21822.867
           0.950       0.000       -21822.867     -21822.867
           0.900       0.000       -21822.867     -21822.867
           0.800       0.000       -21822.867     -21822.867
           0.700       0.000       -21822.867     -21822.867
           0.500       0.000       -21822.867     -21822.867
           0.300       0.000       -21822.867     -21822.867
           0.200       0.000       -21822.867     -21822.867
           0.100       0.000       -21822.867     -21822.867
           0.050       0.000       -21822.867     -21822.867
           0.020       0.000       -21822.867     -21822.867
           0.010       0.000       -21822.867     -21822.867

Information Criteria

    Akaike (AIC)

        Mean                             43729.735
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000        43729.735      43729.735
           0.980       0.000        43729.735      43729.735
           0.950       0.000        43729.735      43729.735
           0.900       0.000        43729.735      43729.735
           0.800       0.000        43729.735      43729.735
           0.700       0.000        43729.735      43729.735
           0.500       0.000        43729.735      43729.735
           0.300       0.000        43729.735      43729.735
           0.200       0.000        43729.735      43729.735
           0.100       0.000        43729.735      43729.735
           0.050       0.000        43729.735      43729.735
           0.020       0.000        43729.735      43729.735
           0.010       0.000        43729.735      43729.735

    Bayesian (BIC)

        Mean                             43964.972
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000        43964.972      43964.972
           0.980       0.000        43964.972      43964.972
           0.950       0.000        43964.972      43964.972
           0.900       0.000        43964.972      43964.972
           0.800       0.000        43964.972      43964.972
           0.700       0.000        43964.972      43964.972
           0.500       0.000        43964.972      43964.972
           0.300       0.000        43964.972      43964.972
           0.200       0.000        43964.972      43964.972
           0.100       0.000        43964.972      43964.972
           0.050       0.000        43964.972      43964.972
           0.020       0.000        43964.972      43964.972
           0.010       0.000        43964.972      43964.972

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

        Mean                             43831.536
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000        43831.536      43831.536
           0.980       0.000        43831.536      43831.536
           0.950       0.000        43831.536      43831.536
           0.900       0.000        43831.536      43831.536
           0.800       0.000        43831.536      43831.536
           0.700       0.000        43831.536      43831.536
           0.500       0.000        43831.536      43831.536
           0.300       0.000        43831.536      43831.536
           0.200       0.000        43831.536      43831.536
           0.100       0.000        43831.536      43831.536
           0.050       0.000        43831.536      43831.536
           0.020       0.000        43831.536      43831.536
           0.010       0.000        43831.536      43831.536



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

    Latent
   Classes

       1       1009.33422          0.50467
       2        990.66578          0.49533


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

    Latent
   Classes

       1       1009.33383          0.50467
       2        990.66617          0.49533


CLASSIFICATION QUALITY

     Entropy                         0.974


CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP

Class Counts and Proportions

    Latent
   Classes

       1             1012          0.50600
       2              988          0.49400


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

           1        2

    1   0.992    0.008
    2   0.006    0.994


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

           1        2

    1   0.994    0.006
    2   0.008    0.992


Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)

              1        2

    1      5.187    0.000
    2     -4.777    0.000


MODEL RESULTS

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

 F1       BY
  Y1                  1.000     0.9814     0.0000     0.0340     0.0003 1.000 1.000
  Y2                  1.000     0.9857     0.0000     0.0342     0.0002 1.000 1.000
  Y3                  1.000     1.0042     0.0000     0.0374     0.0000 1.000 1.000
  Y4                  1.000     1.0055     0.0000     0.0328     0.0000 1.000 1.000

 F2       BY
  Y5                  0.500     0.4930     0.0000     0.0315     0.0000 1.000 1.000
  Y6                  0.500     0.4870     0.0000     0.0316     0.0002 1.000 1.000
  Y7                  0.500     0.4679     0.0000     0.0317     0.0010 1.000 1.000
  Y8                  0.500     0.4697     0.0000     0.0329     0.0009 1.000 1.000

 F2       WITH
  F1                  0.000    -0.0032     0.0000     0.0303     0.0000 1.000 0.000

 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                  2.000     1.9759     0.0000     0.0399     0.0006 1.000 1.000
  Y2                  2.000     1.9348     0.0000     0.0393     0.0043 1.000 1.000
  Y3                  2.000     1.9933     0.0000     0.0399     0.0000 1.000 1.000
  Y4                  2.000     1.9894     0.0000     0.0398     0.0001 1.000 1.000
  Y5                 -1.000    -1.0047     0.0000     0.0275     0.0000 1.000 1.000
  Y6                 -1.000    -0.9677     0.0000     0.0270     0.0010 1.000 1.000
  Y7                 -1.000    -0.9978     0.0000     0.0271     0.0000 1.000 1.000
  Y8                 -1.000    -1.0369     0.0000     0.0278     0.0014 1.000 1.000

 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                  0.500     0.5463     0.0000     0.0222     0.0021 0.000 1.000
  Y2                  0.500     0.5077     0.0000     0.0225     0.0001 1.000 1.000
  Y3                  0.500     0.4867     0.0000     0.0230     0.0002 1.000 1.000
  Y4                  0.500     0.4943     0.0000     0.0207     0.0000 1.000 1.000
  Y5                  0.500     0.5110     0.0000     0.0218     0.0001 1.000 1.000
  Y6                  0.500     0.4729     0.0000     0.0214     0.0007 1.000 1.000
  Y7                  0.500     0.5029     0.0000     0.0217     0.0000 1.000 1.000
  Y8                  0.500     0.5314     0.0000     0.0224     0.0010 1.000 1.000

Latent Class 2

 F1       BY
  Y1                  0.500     0.4669     0.0000     0.0332     0.0011 1.000 1.000
  Y2                  0.500     0.4497     0.0000     0.0327     0.0025 1.000 1.000
  Y3                  0.500     0.5420     0.0000     0.0324     0.0018 1.000 1.000
  Y4                  0.500     0.4458     0.0000     0.0336     0.0029 1.000 1.000

 F2       BY
  Y5                  1.000     0.9959     0.0000     0.0355     0.0000 1.000 1.000
  Y6                  1.000     0.9841     0.0000     0.0346     0.0003 1.000 1.000
  Y7                  1.000     1.0107     0.0000     0.0339     0.0001 1.000 1.000
  Y8                  1.000     1.0106     0.0000     0.0346     0.0001 1.000 1.000

 F2       WITH
  F1                  0.000    -0.0032     0.0000     0.0303     0.0000 1.000 0.000

 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                 -1.000    -0.9953     0.0000     0.0278     0.0000 1.000 1.000
  Y2                 -1.000    -1.0052     0.0000     0.0272     0.0000 1.000 1.000
  Y3                 -1.000    -0.9912     0.0000     0.0285     0.0001 1.000 1.000
  Y4                 -1.000    -0.9928     0.0000     0.0270     0.0001 1.000 1.000
  Y5                  2.000     1.9509     0.0000     0.0404     0.0024 1.000 1.000
  Y6                  2.000     1.9459     0.0000     0.0391     0.0029 1.000 1.000
  Y7                  2.000     1.9541     0.0000     0.0402     0.0021 1.000 1.000
  Y8                  2.000     1.9005     0.0000     0.0407     0.0099 0.000 1.000

 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                  0.500     0.5463     0.0000     0.0222     0.0021 0.000 1.000
  Y2                  0.500     0.5077     0.0000     0.0225     0.0001 1.000 1.000
  Y3                  0.500     0.4867     0.0000     0.0230     0.0002 1.000 1.000
  Y4                  0.500     0.4943     0.0000     0.0207     0.0000 1.000 1.000
  Y5                  0.500     0.5110     0.0000     0.0218     0.0001 1.000 1.000
  Y6                  0.500     0.4729     0.0000     0.0214     0.0007 1.000 1.000
  Y7                  0.500     0.5029     0.0000     0.0217     0.0000 1.000 1.000
  Y8                  0.500     0.5314     0.0000     0.0224     0.0010 1.000 1.000

Categorical Latent Variables

 Means
  C#1                 0.000     0.0187     0.0000     0.0454     0.0003 1.000 0.000


QUALITY OF NUMERICAL RESULTS

     Average Condition Number for the Information Matrix      0.749E-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
              ________      ________      ________
 1                  6             7             8


           LAMBDA
              F1            F2
              ________      ________
 Y1                 9             0
 Y2                10             0
 Y3                11             0
 Y4                12             0
 Y5                 0            13
 Y6                 0            14
 Y7                 0            15
 Y8                 0            16


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1                17
 Y2                 0            18
 Y3                 0             0            19
 Y4                 0             0             0            20
 Y5                 0             0             0             0            21
 Y6                 0             0             0             0             0
 Y7                 0             0             0             0             0
 Y8                 0             0             0             0             0


           THETA
              Y6            Y7            Y8
              ________      ________      ________
 Y6                22
 Y7                 0            23
 Y8                 0             0            24


           ALPHA
              F1            F2
              ________      ________
 1                  0             0


           BETA
              F1            F2
              ________      ________
 F1                 0             0
 F2                 0             0


           PSI
              F1            F2
              ________      ________
 F1                 0
 F2                25             0


     PARAMETER SPECIFICATION FOR LATENT CLASS 2


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1                 26            27            28            29            30


           NU
              Y6            Y7            Y8
              ________      ________      ________
 1                 31            32            33


           LAMBDA
              F1            F2
              ________      ________
 Y1                34             0
 Y2                35             0
 Y3                36             0
 Y4                37             0
 Y5                 0            38
 Y6                 0            39
 Y7                 0            40
 Y8                 0            41


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1                17
 Y2                 0            18
 Y3                 0             0            19
 Y4                 0             0             0            20
 Y5                 0             0             0             0            21
 Y6                 0             0             0             0             0
 Y7                 0             0             0             0             0
 Y8                 0             0             0             0             0


           THETA
              Y6            Y7            Y8
              ________      ________      ________
 Y6                22
 Y7                 0            23
 Y8                 0             0            24


           ALPHA
              F1            F2
              ________      ________
 1                  0             0


           BETA
              F1            F2
              ________      ________
 F1                 0             0
 F2                 0             0


           PSI
              F1            F2
              ________      ________
 F1                 0
 F2                25             0


     PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              C#1           C#2
              ________      ________
 1                 42             0


     STARTING VALUES FOR LATENT CLASS 1


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1              2.000         2.000         2.000         2.000        -1.000


           NU
              Y6            Y7            Y8
              ________      ________      ________
 1             -1.000        -1.000        -1.000


           LAMBDA
              F1            F2
              ________      ________
 Y1             1.000         0.000
 Y2             1.000         0.000
 Y3             1.000         0.000
 Y4             1.000         0.000
 Y5             0.000         0.500
 Y6             0.000         0.500
 Y7             0.000         0.500
 Y8             0.000         0.500


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             0.500
 Y2             0.000         0.500
 Y3             0.000         0.000         0.500
 Y4             0.000         0.000         0.000         0.500
 Y5             0.000         0.000         0.000         0.000         0.500
 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


           THETA
              Y6            Y7            Y8
              ________      ________      ________
 Y6             0.500
 Y7             0.000         0.500
 Y8             0.000         0.000         0.500


           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             0.000         1.000


     STARTING VALUES FOR LATENT CLASS 2


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1             -1.000        -1.000        -1.000        -1.000         2.000


           NU
              Y6            Y7            Y8
              ________      ________      ________
 1              2.000         2.000         2.000


           LAMBDA
              F1            F2
              ________      ________
 Y1             0.500         0.000
 Y2             0.500         0.000
 Y3             0.500         0.000
 Y4             0.500         0.000
 Y5             0.000         1.000
 Y6             0.000         1.000
 Y7             0.000         1.000
 Y8             0.000         1.000


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             0.500
 Y2             0.000         0.500
 Y3             0.000         0.000         0.500
 Y4             0.000         0.000         0.000         0.500
 Y5             0.000         0.000         0.000         0.000         0.500
 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


           THETA
              Y6            Y7            Y8
              ________      ________      ________
 Y6             0.500
 Y7             0.000         0.500
 Y8             0.000         0.000         0.500


           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             0.000         1.000


     STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART


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


     POPULATION VALUES FOR LATENT CLASS 1


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1              2.000         2.000         2.000         2.000        -1.000


           NU
              Y6            Y7            Y8
              ________      ________      ________
 1             -1.000        -1.000        -1.000


           LAMBDA
              F1            F2
              ________      ________
 Y1             1.000         0.000
 Y2             1.000         0.000
 Y3             1.000         0.000
 Y4             1.000         0.000
 Y5             0.000         0.500
 Y6             0.000         0.500
 Y7             0.000         0.500
 Y8             0.000         0.500


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             0.500
 Y2             0.000         0.500
 Y3             0.000         0.000         0.500
 Y4             0.000         0.000         0.000         0.500
 Y5             0.000         0.000         0.000         0.000         0.500
 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


           THETA
              Y6            Y7            Y8
              ________      ________      ________
 Y6             0.500
 Y7             0.000         0.500
 Y8             0.000         0.000         0.500


           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             0.000         1.000


     POPULATION VALUES FOR LATENT CLASS 2


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1             -1.000        -1.000        -1.000        -1.000         2.000


           NU
              Y6            Y7            Y8
              ________      ________      ________
 1              2.000         2.000         2.000


           LAMBDA
              F1            F2
              ________      ________
 Y1             0.500         0.000
 Y2             0.500         0.000
 Y3             0.500         0.000
 Y4             0.500         0.000
 Y5             0.000         1.000
 Y6             0.000         1.000
 Y7             0.000         1.000
 Y8             0.000         1.000


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             0.500
 Y2             0.000         0.500
 Y3             0.000         0.000         0.500
 Y4             0.000         0.000         0.000         0.500
 Y5             0.000         0.000         0.000         0.000         0.500
 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


           THETA
              Y6            Y7            Y8
              ________      ________      ________
 Y6             0.500
 Y7             0.000         0.500
 Y8             0.000         0.000         0.500


           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             0.000         1.000


     POPULATION VALUES FOR LATENT CLASS REGRESSION MODEL PART


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


TECHNICAL 8 OUTPUT


  TECHNICAL 8 OUTPUT FOR REPLICATION 1


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.21841744D+05    0.0000000    0.0000000   1009.842   990.158    EM
     2 -0.21822882D+05   18.8618179    0.0008636   1009.513   990.487    EM
     3 -0.21822868D+05    0.0138847    0.0000006   1009.402   990.598    EM
     4 -0.21822867D+05    0.0004788    0.0000000   1009.360   990.640    EM
     5 -0.21822867D+05    0.0000526    0.0000000   1009.344   990.656    EM
     6 -0.21822867D+05    0.0000078    0.0000000   1009.338   990.662    EM
     7 -0.21822867D+05    0.0000012    0.0000000   1009.335   990.665    EM
     8 -0.21822867D+05    0.0000002    0.0000000   1009.334   990.666    EM
     9 -0.21822867D+05    0.0000000    0.0000000   1009.334   990.666    EM


TECHNICAL 9 OUTPUT

  Error messages for each replication (if any)



SAVEDATA INFORMATION

  Order of variables

    Y1
    Y2
    Y3
    Y4
    Y5
    Y6
    Y7
    Y8
    C

  Save file
    ex4.4.dat

  Save file format           Free
  Save file record length    10000


     Beginning Time:  14:04:02
        Ending Time:  14:04:02
       Elapsed Time:  00:00:00



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