Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022  10:24 PM

INPUT INSTRUCTIONS

  title:
  	this is an example of a confirmatory LCA
  	with two categorical latent variables

  montecarlo:
  	names are u1-u4 y1-y4;
  	genclasses = cu(2) cy(3);
  	classes = cu(2) cy(3);
  	generate = u1-u4(1);
  	categorical = u1-u4;
  	nobs = 1000;
  	seed = 3454367;
  	nrep = 1;
  	save = ex7.14.dat;

  analysis:
  	type = mixture;
  	parameterization = loglinear;

  model population:

  	%overall%

  	y1-y4*1;
  	[y1-y4*0];

  	[cu#1*0 cy#1*0 cy#2*0];

  	cu#1 with cy#1*.5;
  	cu#1 with cy#2*.75;

  model population-cu:
  	
  	%cu#1%
  	[u1$1-u4$1*-1];
  	%cu#2%
  	[u1$1-u4$1*1];

  model population-cy:
  	
  	%cy#1%
  	[y1-y4*-1];
  	%cy#2%
  	[y1-y4*1];
  	%cy#3%
  	[y1-y4*2];

  model:

  	%overall%

  	y1-y4*1;
  	[y1-y4*0];

  	[cu#1*0 cy#1*0 cy#2*0];

  	cu#1 with cy#1*.5;
  	cu#1 with cy#2*.75;

  model cu:
  	
  	%cu#1%
  	[u1$1-u4$1*-1];
  	%cu#2%
  	[u1$1-u4$1*1];

  model cy:
  	
  	%cy#1%
  	[y1-y4*-1];
  	%cy#2%
  	[y1-y4*1];
  	%cy#3%
  	[y1-y4*2];


  output:
  	tech8 tech9;
  	
  	
  	

  	
  	



*** WARNING in MODEL command
  All variables are uncorrelated with all other variables within class.
  Check that this is what is intended.
   1 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS




this is an example of a confirmatory LCA
with two categorical latent variables

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                        1000

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                            0
Number of categorical latent variables                           2

Observed dependent variables

  Continuous
   Y1          Y2          Y3          Y4

  Binary and ordered categorical (ordinal)
   U1          U2          U3          U4

Categorical latent variables
   CU          CY


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
Parameterization                                         LOGLINEAR
Link                                                         LOGIT


SAMPLE STATISTICS FOR THE FIRST REPLICATION


     SAMPLE STATISTICS


           Means
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
                0.602         0.581         0.579         0.583


           Covariances
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             2.380
 Y2             1.413         2.468
 Y3             1.404         1.515         2.529
 Y4             1.307         1.491         1.450         2.379


           Correlations
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             1.000
 Y2             0.583         1.000
 Y3             0.572         0.606         1.000
 Y4             0.549         0.615         0.591         1.000




MODEL FIT INFORMATION

Number of Free Parameters                       29

Loglikelihood

    H0 Value

        Mean                             -9141.129
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000        -9141.129      -9141.129
           0.980       0.000        -9141.129      -9141.129
           0.950       0.000        -9141.129      -9141.129
           0.900       0.000        -9141.129      -9141.129
           0.800       0.000        -9141.129      -9141.129
           0.700       0.000        -9141.129      -9141.129
           0.500       0.000        -9141.129      -9141.129
           0.300       0.000        -9141.129      -9141.129
           0.200       0.000        -9141.129      -9141.129
           0.100       0.000        -9141.129      -9141.129
           0.050       0.000        -9141.129      -9141.129
           0.020       0.000        -9141.129      -9141.129
           0.010       0.000        -9141.129      -9141.129

Information Criteria

    Akaike (AIC)

        Mean                             18340.257
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000        18340.257      18340.257
           0.980       0.000        18340.257      18340.257
           0.950       0.000        18340.257      18340.257
           0.900       0.000        18340.257      18340.257
           0.800       0.000        18340.257      18340.257
           0.700       0.000        18340.257      18340.257
           0.500       0.000        18340.257      18340.257
           0.300       0.000        18340.257      18340.257
           0.200       0.000        18340.257      18340.257
           0.100       0.000        18340.257      18340.257
           0.050       0.000        18340.257      18340.257
           0.020       0.000        18340.257      18340.257
           0.010       0.000        18340.257      18340.257

    Bayesian (BIC)

        Mean                             18482.582
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000        18482.582      18482.582
           0.980       0.000        18482.582      18482.582
           0.950       0.000        18482.582      18482.582
           0.900       0.000        18482.582      18482.582
           0.800       0.000        18482.582      18482.582
           0.700       0.000        18482.582      18482.582
           0.500       0.000        18482.582      18482.582
           0.300       0.000        18482.582      18482.582
           0.200       0.000        18482.582      18482.582
           0.100       0.000        18482.582      18482.582
           0.050       0.000        18482.582      18482.582
           0.020       0.000        18482.582      18482.582
           0.010       0.000        18482.582      18482.582

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

        Mean                             18390.477
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000        18390.477      18390.477
           0.980       0.000        18390.477      18390.477
           0.950       0.000        18390.477      18390.477
           0.900       0.000        18390.477      18390.477
           0.800       0.000        18390.477      18390.477
           0.700       0.000        18390.477      18390.477
           0.500       0.000        18390.477      18390.477
           0.300       0.000        18390.477      18390.477
           0.200       0.000        18390.477      18390.477
           0.100       0.000        18390.477      18390.477
           0.050       0.000        18390.477      18390.477
           0.020       0.000        18390.477      18390.477
           0.010       0.000        18390.477      18390.477

Chi-Square Test of Model Fit for the Binary and Ordered Categorical
(Ordinal) Outcomes

    Pearson Chi-Square

        Mean                                10.624
        Std Dev                              0.000
        Degrees of freedom                       2
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       1.000            0.020         10.624
           0.980       1.000            0.040         10.624
           0.950       1.000            0.103         10.624
           0.900       1.000            0.211         10.624
           0.800       1.000            0.446         10.624
           0.700       1.000            0.713         10.624
           0.500       1.000            1.386         10.624
           0.300       1.000            2.408         10.624
           0.200       1.000            3.219         10.624
           0.100       1.000            4.605         10.624
           0.050       1.000            5.991         10.624
           0.020       1.000            7.824         10.624
           0.010       1.000            9.210         10.624

    Likelihood Ratio Chi-Square

        Mean                                10.270
        Std Dev                              0.000
        Degrees of freedom                       2
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       1.000            0.020         10.270
           0.980       1.000            0.040         10.270
           0.950       1.000            0.103         10.270
           0.900       1.000            0.211         10.270
           0.800       1.000            0.446         10.270
           0.700       1.000            0.713         10.270
           0.500       1.000            1.386         10.270
           0.300       1.000            2.408         10.270
           0.200       1.000            3.219         10.270
           0.100       1.000            4.605         10.270
           0.050       1.000            5.991         10.270
           0.020       1.000            7.824         10.270
           0.010       1.000            9.210         10.270



MODEL RESULTS USE THE LATENT CLASS VARIABLE ORDER

   CU  CY


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

  Latent Class
    Pattern

    1  1        227.91451          0.22791
    1  2        307.96586          0.30797
    1  3        104.85384          0.10485
    2  1        108.04281          0.10804
    2  2        125.56608          0.12557
    2  3        125.65690          0.12566


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

  Latent Class
    Variable    Class

    CU             1       640.73419          0.64073
                   2       359.26581          0.35927
    CY             1       335.95731          0.33596
                   2       433.53192          0.43353
                   3       230.51074          0.23051


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

  Latent Class
    Pattern

    1  1        227.91449          0.22791
    1  2        307.96570          0.30797
    1  3        104.85406          0.10485
    2  1        108.04282          0.10804
    2  2        125.56606          0.12557
    2  3        125.65686          0.12566


FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON ESTIMATED POSTERIOR PROBABILITIES

  Latent Class
    Variable    Class

    CU             1       640.73425          0.64073
                   2       359.26575          0.35927
    CY             1       335.95731          0.33596
                   2       433.53177          0.43353
                   3       230.51093          0.23051


FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON THEIR MOST LIKELY LATENT CLASS PATTERN

Class Counts and Proportions

  Latent Class
    Pattern

    1  1              251          0.25100
    1  2              330          0.33000
    1  3              108          0.10800
    2  1               84          0.08400
    2  2              113          0.11300
    2  3              114          0.11400


FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON THEIR MOST LIKELY LATENT CLASS PATTERN

  Latent Class
    Variable    Class

    CU             1             689          0.68900
                   2             311          0.31100
    CY             1             335          0.33500
                   2             443          0.44300
                   3             222          0.22200


CLASSIFICATION QUALITY

     Entropy                         0.651


MODEL RESULTS

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

Parameters in the Overall Part of the Model (Parameters Equal in All of the Classes)

 Variances
  Y1                  1.000     1.1372     0.0000     0.0549     0.0188 0.000 1.000
  Y2                  1.000     0.9629     0.0000     0.0511     0.0014 1.000 1.000
  Y3                  1.000     1.0222     0.0000     0.0526     0.0005 1.000 1.000
  Y4                  1.000     0.9286     0.0000     0.0536     0.0051 1.000 1.000

Parameters for Class-specific Model Parts of CU

Latent Class CU#1

 Thresholds
  U1$1               -1.000    -0.9204     0.0000     0.2059     0.0063 1.000 1.000
  U2$1               -1.000    -1.0759     0.0000     0.1840     0.0058 1.000 1.000
  U3$1               -1.000    -0.8999     0.0000     0.1389     0.0100 1.000 1.000
  U4$1               -1.000    -0.7621     0.0000     0.1760     0.0566 1.000 1.000

Latent Class CU#2

 Thresholds
  U1$1                1.000     0.9695     0.0000     0.2390     0.0009 1.000 1.000
  U2$1                1.000     1.0204     0.0000     0.3366     0.0004 1.000 1.000
  U3$1                1.000     0.7856     0.0000     0.2952     0.0459 1.000 1.000
  U4$1                1.000     1.1387     0.0000     0.2879     0.0192 1.000 1.000

Parameters for Class-specific Model Parts of CY

Latent Class CY#1

 Means
  Y1                 -1.000    -0.9249     0.0000     0.0607     0.0056 1.000 1.000
  Y2                 -1.000    -1.0521     0.0000     0.0578     0.0027 1.000 1.000
  Y3                 -1.000    -1.0687     0.0000     0.0581     0.0047 1.000 1.000
  Y4                 -1.000    -0.9989     0.0000     0.0542     0.0000 1.000 1.000

Latent Class CY#2

 Means
  Y1                  1.000     1.1486     0.0000     0.0849     0.0221 1.000 1.000
  Y2                  1.000     1.0521     0.0000     0.0827     0.0027 1.000 1.000
  Y3                  1.000     1.0863     0.0000     0.0768     0.0074 1.000 1.000
  Y4                  1.000     0.9980     0.0000     0.0691     0.0000 1.000 1.000

Latent Class CY#3

 Means
  Y1                  2.000     1.7976     0.0000     0.0811     0.0410 0.000 1.000
  Y2                  2.000     2.0732     0.0000     0.1043     0.0054 1.000 1.000
  Y3                  2.000     2.0276     0.0000     0.1141     0.0008 1.000 1.000
  Y4                  2.000     2.1060     0.0000     0.1477     0.0112 1.000 1.000

Categorical Latent Variables

 CU#1     WITH
  CY#1                0.500     0.9274     0.0000     0.3334     0.1827 1.000 1.000
  CY#2                0.750     1.0781     0.0000     0.3627     0.1077 1.000 1.000

 Means
  CU#1                0.000    -0.1810     0.0000     0.4158     0.0328 1.000 0.000
  CY#1                0.000    -0.1510     0.0000     0.2609     0.0228 1.000 0.000
  CY#2                0.000    -0.0007     0.0000     0.3392     0.0000 1.000 0.000


QUALITY OF NUMERICAL RESULTS

     Average Condition Number for the Information Matrix      0.513E-04
       (ratio of smallest to largest eigenvalue)


C-SPECIFIC CLASSIFICATION RESULTS

Classification Quality for CU

     Entropy                         0.479

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

           1        2

    1   0.850    0.150
    2   0.176    0.824

Classification Quality for CY

     Entropy                         0.755

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

           1        2        3

    1   0.981    0.019    0.000
    2   0.017    0.856    0.127
    3   0.000    0.215    0.785


TECHNICAL 1 OUTPUT


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 1


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


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1                 5
 Y2                 0             6
 Y3                 0             0             7
 Y4                 0             0             0             8


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 2


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
                    9            10            11            12


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1                 5
 Y2                 0             6
 Y3                 0             0             7
 Y4                 0             0             0             8


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 3


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
                   13            14            15            16


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1                 5
 Y2                 0             6
 Y3                 0             0             7
 Y4                 0             0             0             8


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 1


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


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1                 5
 Y2                 0             6
 Y3                 0             0             7
 Y4                 0             0             0             8


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 2


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
                    9            10            11            12


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1                 5
 Y2                 0             6
 Y3                 0             0             7
 Y4                 0             0             0             8


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 3


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
                   13            14            15            16


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1                 5
 Y2                 0             6
 Y3                 0             0             7
 Y4                 0             0             0             8


     PARAMETER SPECIFICATION FOR LATENT CLASS INDICATOR MODEL PART


           TAU(U) FOR LATENT CLASS PATTERN 1 1
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
                   17            18            19            20


           TAU(U) FOR LATENT CLASS PATTERN 1 2
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
                   17            18            19            20


           TAU(U) FOR LATENT CLASS PATTERN 1 3
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
                   17            18            19            20


           TAU(U) FOR LATENT CLASS PATTERN 2 1
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
                   21            22            23            24


           TAU(U) FOR LATENT CLASS PATTERN 2 2
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
                   21            22            23            24


           TAU(U) FOR LATENT CLASS PATTERN 2 3
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
                   21            22            23            24


     PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              CU#1          CU#2          CY#1          CY#2          CY#3
              ________      ________      ________      ________      ________
                   25             0            26            27             0


           PSI(C)
              CU#1          CU#2
              ________      ________
 CY#1              28             0
 CY#2              29             0
 CY#3               0             0


     STARTING VALUES FOR LATENT CLASS PATTERN 1 1


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
               -1.000        -1.000        -1.000        -1.000


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             1.000
 Y2             0.000         1.000
 Y3             0.000         0.000         1.000
 Y4             0.000         0.000         0.000         1.000


     STARTING VALUES FOR LATENT CLASS PATTERN 1 2


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
                1.000         1.000         1.000         1.000


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             1.000
 Y2             0.000         1.000
 Y3             0.000         0.000         1.000
 Y4             0.000         0.000         0.000         1.000


     STARTING VALUES FOR LATENT CLASS PATTERN 1 3


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
                2.000         2.000         2.000         2.000


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             1.000
 Y2             0.000         1.000
 Y3             0.000         0.000         1.000
 Y4             0.000         0.000         0.000         1.000


     STARTING VALUES FOR LATENT CLASS PATTERN 2 1


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
               -1.000        -1.000        -1.000        -1.000


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             1.000
 Y2             0.000         1.000
 Y3             0.000         0.000         1.000
 Y4             0.000         0.000         0.000         1.000


     STARTING VALUES FOR LATENT CLASS PATTERN 2 2


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
                1.000         1.000         1.000         1.000


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             1.000
 Y2             0.000         1.000
 Y3             0.000         0.000         1.000
 Y4             0.000         0.000         0.000         1.000


     STARTING VALUES FOR LATENT CLASS PATTERN 2 3


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
                2.000         2.000         2.000         2.000


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             1.000
 Y2             0.000         1.000
 Y3             0.000         0.000         1.000
 Y4             0.000         0.000         0.000         1.000


     STARTING VALUES FOR LATENT CLASS INDICATOR MODEL PART


           TAU(U) FOR LATENT CLASS PATTERN 1 1
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
               -1.000        -1.000        -1.000        -1.000


           TAU(U) FOR LATENT CLASS PATTERN 1 2
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
               -1.000        -1.000        -1.000        -1.000


           TAU(U) FOR LATENT CLASS PATTERN 1 3
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
               -1.000        -1.000        -1.000        -1.000


           TAU(U) FOR LATENT CLASS PATTERN 2 1
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
                1.000         1.000         1.000         1.000


           TAU(U) FOR LATENT CLASS PATTERN 2 2
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
                1.000         1.000         1.000         1.000


           TAU(U) FOR LATENT CLASS PATTERN 2 3
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
                1.000         1.000         1.000         1.000


     STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              CU#1          CU#2          CY#1          CY#2          CY#3
              ________      ________      ________      ________      ________
                0.000         0.000         0.000         0.000         0.000


           PSI(C)
              CU#1          CU#2
              ________      ________
 CY#1           0.500         0.000
 CY#2           0.750         0.000
 CY#3           0.000         0.000


     POPULATION VALUES FOR LATENT CLASS PATTERN 1 1


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
               -1.000        -1.000        -1.000        -1.000


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             1.000
 Y2             0.000         1.000
 Y3             0.000         0.000         1.000
 Y4             0.000         0.000         0.000         1.000


     POPULATION VALUES FOR LATENT CLASS PATTERN 1 2


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
                1.000         1.000         1.000         1.000


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             1.000
 Y2             0.000         1.000
 Y3             0.000         0.000         1.000
 Y4             0.000         0.000         0.000         1.000


     POPULATION VALUES FOR LATENT CLASS PATTERN 1 3


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
                2.000         2.000         2.000         2.000


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             1.000
 Y2             0.000         1.000
 Y3             0.000         0.000         1.000
 Y4             0.000         0.000         0.000         1.000


     POPULATION VALUES FOR LATENT CLASS PATTERN 2 1


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
               -1.000        -1.000        -1.000        -1.000


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             1.000
 Y2             0.000         1.000
 Y3             0.000         0.000         1.000
 Y4             0.000         0.000         0.000         1.000


     POPULATION VALUES FOR LATENT CLASS PATTERN 2 2


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
                1.000         1.000         1.000         1.000


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             1.000
 Y2             0.000         1.000
 Y3             0.000         0.000         1.000
 Y4             0.000         0.000         0.000         1.000


     POPULATION VALUES FOR LATENT CLASS PATTERN 2 3


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
                2.000         2.000         2.000         2.000


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             1.000
 Y2             0.000         1.000
 Y3             0.000         0.000         1.000
 Y4             0.000         0.000         0.000         1.000


     POPULATION VALUES FOR LATENT CLASS INDICATOR MODEL PART


           TAU(U) FOR LATENT CLASS PATTERN 1 1
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
               -1.000        -1.000        -1.000        -1.000


           TAU(U) FOR LATENT CLASS PATTERN 1 2
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
               -1.000        -1.000        -1.000        -1.000


           TAU(U) FOR LATENT CLASS PATTERN 1 3
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
               -1.000        -1.000        -1.000        -1.000


           TAU(U) FOR LATENT CLASS PATTERN 2 1
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
                1.000         1.000         1.000         1.000


           TAU(U) FOR LATENT CLASS PATTERN 2 2
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
                1.000         1.000         1.000         1.000


           TAU(U) FOR LATENT CLASS PATTERN 2 3
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
                1.000         1.000         1.000         1.000


     POPULATION VALUES FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              CU#1          CU#2          CY#1          CY#2          CY#3
              ________      ________      ________      ________      ________
                0.000         0.000         0.000         0.000         0.000


           PSI(C)
              CU#1          CU#2
              ________      ________
 CY#1           0.500         0.000
 CY#2           0.750         0.000
 CY#3           0.000         0.000


TECHNICAL 8 OUTPUT


  TECHNICAL 8 OUTPUT FOR REPLICATION 1


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.91566152D+04    0.0000000    0.0000000  EM
              2 -0.91442688D+04   12.3464067    0.0013484  EM
              3 -0.91426155D+04    1.6533281    0.0001808  EM
              4 -0.91419904D+04    0.6250504    0.0000684  EM
              5 -0.91417098D+04    0.2806811    0.0000307  EM
              6 -0.91415645D+04    0.1452728    0.0000159  EM
              7 -0.91414781D+04    0.0864293    0.0000095  EM
              8 -0.91414201D+04    0.0579964    0.0000063  EM
              9 -0.91413774D+04    0.0426183    0.0000047  EM
             10 -0.91413441D+04    0.0333602    0.0000036  EM
             11 -0.91413168D+04    0.0272419    0.0000030  EM
             12 -0.91412940D+04    0.0228772    0.0000025  EM
             13 -0.91412744D+04    0.0195702    0.0000021  EM
             14 -0.91412574D+04    0.0169469    0.0000019  EM
             15 -0.91412427D+04    0.0147942    0.0000016  EM
             16 -0.91412297D+04    0.0129839    0.0000014  EM
             17 -0.91412182D+04    0.0114353    0.0000013  EM
             18 -0.91412081D+04    0.0100948    0.0000011  EM
             19 -0.91411992D+04    0.0089250    0.0000010  EM
             20 -0.91411913D+04    0.0078988    0.0000009  EM
             21 -0.91411843D+04    0.0069953    0.0000008  EM
             22 -0.91411781D+04    0.0061980    0.0000007  EM
             23 -0.91411726D+04    0.0054932    0.0000006  EM
             24 -0.91411678D+04    0.0048696    0.0000005  EM
             25 -0.91411634D+04    0.0043176    0.0000005  EM
             26 -0.91411596D+04    0.0038287    0.0000004  EM
             27 -0.91411562D+04    0.0033957    0.0000004  EM
             28 -0.91411532D+04    0.0030121    0.0000003  EM
             29 -0.91411505D+04    0.0026722    0.0000003  EM
             30 -0.91411482D+04    0.0023711    0.0000003  EM
             31 -0.91411461D+04    0.0021044    0.0000002  EM
             32 -0.91411442D+04    0.0018681    0.0000002  EM
             33 -0.91411425D+04    0.0016587    0.0000002  EM
             34 -0.91411411D+04    0.0014732    0.0000002  EM
             35 -0.91411398D+04    0.0013089    0.0000001  EM
             36 -0.91411386D+04    0.0011632    0.0000001  EM
             37 -0.91411299D+04    0.0087058    0.0000010  FS
             38 -0.91411289D+04    0.0009550    0.0000001  FS
             39 -0.91411288D+04    0.0001532    0.0000000  FS
             40 -0.91411287D+04    0.0000290    0.0000000  FS
             41 -0.91411287D+04    0.0000065    0.0000000  FS
             42 -0.91411287D+04    0.0000017    0.0000000  FS
             43 -0.91411287D+04    0.0000005    0.0000000  FS
             44 -0.91411287D+04    0.0000002    0.0000000  FS
             45 -0.91411287D+04    0.0000001    0.0000000  FS
             46 -0.91411287D+04    0.0000000    0.0000000  EM


TECHNICAL 9 OUTPUT

  Error messages for each replication (if any)



SAVEDATA INFORMATION

  Order of variables

    U1
    U2
    U3
    U4
    Y1
    Y2
    Y3
    Y4
    CU
    CY

  Save file
    ex7.14.dat

  Save file format           Free
  Save file record length    10000


     Beginning Time:  22:24:28
        Ending Time:  22:24:29
       Elapsed Time:  00:00:01



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