Mplus VERSION 7.3
MUTHEN & MUTHEN
09/22/2014   5:49 PM

INPUT INSTRUCTIONS

  TITLE:	this is an example of a loglinear model for a three-way table with
          conditional independence between the first two variables
  DATA:	FILE IS ex7.15.dat;	
  VARIABLE:	NAMES ARE u1 u2 u3 w;
  	FREQWEIGHT = w;
  	CATEGORICAL = u1-u3;
  	CLASSES = c1 (2) c2 (2) c3 (2);
  ANALYSIS:	TYPE = MIXTURE;
  	STARTS = 0;
  	PARAMETERIZATION = LOGLINEAR;
  MODEL:
  	%OVERALL%
  	c1 WITH c3;
  	c2 WITH c3;
  MODEL c1:
  	%c1#1%
  	[u1$1@15];
  	%c1#2%
  	[u1$1@-15];
  MODEL c2:
  	%c2#1%
  	[u2$1@15];
  	%c2#2%
  	[u2$1@-15];
  MODEL c3:
  	%c3#1%
  	[u3$1@15];
  	%c3#2%
  	[u3$1@-15];
  OUTPUT:	TECH1 TECH8;



INPUT READING TERMINATED NORMALLY



this is an example of a loglinear model for a three-way table with
conditional independence between the first two variables

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                         713
Number of patterns                                             500

Number of dependent variables                                    3
Number of independent variables                                  0
Number of continuous latent variables                            0
Number of categorical latent variables                           3

Observed dependent variables

  Binary and ordered categorical (ordinal)
   U1          U2          U3

Categorical latent variables
   C1          C2          C3

Variables with special functions

  Weight variable       W

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

Input data file(s)
  ex7.15.dat
Input data format  FREE


UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES

    U1
      Category 1    0.403      287.000
      Category 2    0.597      426.000
    U2
      Category 1    0.619      441.000
      Category 2    0.381      272.000
    U3
      Category 1    0.686      489.000
      Category 2    0.314      224.000



THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                        5

Loglikelihood

          H0 Value                       -1380.635
          H0 Scaling Correction Factor      1.0000
            for MLR

Information Criteria

          Akaike (AIC)                    2771.269
          Bayesian (BIC)                  2794.117
          Sample-Size Adjusted BIC        2778.241
            (n* = (n + 2) / 24)

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

          Pearson Chi-Square

          Value                              1.472
          Degrees of Freedom                     2
          P-Value                           0.4791

          Likelihood Ratio Chi-Square

          Value                              1.470
          Degrees of Freedom                     2
          P-Value                           0.4794



MODEL RESULTS USE THE LATENT CLASS VARIABLE ORDER

   C1  C2  C3

  Latent Class Variable Patterns

         C1        C2        C3
      Class     Class     Class

         1         1         1
         1         1         2
         1         2         1
         1         2         2
         2         1         1
         2         1         2
         2         2         1
         2         2         2


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

  Latent Class
    Pattern

    1  1  1        140.31497          0.19680
    1  1  2         38.62496          0.05417
    1  2  1         62.68505          0.08792
    1  2  2         45.37498          0.06364
    2  1  1        197.68516          0.27726
    2  1  2         64.37496          0.09029
    2  2  1         88.31491          0.12386
    2  2  2         75.62501          0.10607


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

  Latent Class
    Variable    Class

    C1             1       286.99994          0.40252
                   2       426.00003          0.59748
    C2             1       441.00006          0.61851
                   2       271.99994          0.38149
    C3             1       489.00009          0.68583
                   2       223.99992          0.31417


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

  Latent Class
    Pattern

    1  1  1        140.00004          0.19635
    1  1  2         42.99995          0.06031
    1  2  1         62.99997          0.08836
    1  2  2         41.00000          0.05750
    2  1  1        198.00009          0.27770
    2  1  2         59.99997          0.08415
    2  2  1         87.99998          0.12342
    2  2  2         80.00000          0.11220


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

  Latent Class
    Variable    Class

    C1             1       286.99997          0.40252
                   2       426.00003          0.59748
    C2             1       441.00006          0.61851
                   2       271.99994          0.38149
    C3             1       489.00006          0.68583
                   2       223.99991          0.31417


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  1              140          0.19635
    1  1  2               43          0.06031
    1  2  1               63          0.08836
    1  2  2               41          0.05750
    2  1  1              198          0.27770
    2  1  2               60          0.08415
    2  2  1               88          0.12342
    2  2  2               80          0.11220


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

  Latent Class
    Variable    Class

    C1             1             287          0.40252
                   2             426          0.59748
    C2             1             441          0.61851
                   2             272          0.38149
    C3             1             489          0.68583
                   2             224          0.31417


CLASSIFICATION QUALITY

     Entropy                         1.000


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

  Latent Class Variable Patterns

  Latent Class         C1        C2        C3
   Pattern No.      Class     Class     Class

         1             1         1         1
         2             1         1         2
         3             1         2         1
         4             1         2         2
         5             2         1         1
         6             2         1         2
         7             2         2         1
         8             2         2         2

           1        2        3        4        5        6        7        8

    1   1.000    0.000    0.000    0.000    0.000    0.000    0.000    0.000
    2   0.000    1.000    0.000    0.000    0.000    0.000    0.000    0.000
    3   0.000    0.000    1.000    0.000    0.000    0.000    0.000    0.000
    4   0.000    0.000    0.000    1.000    0.000    0.000    0.000    0.000
    5   0.000    0.000    0.000    0.000    1.000    0.000    0.000    0.000
    6   0.000    0.000    0.000    0.000    0.000    1.000    0.000    0.000
    7   0.000    0.000    0.000    0.000    0.000    0.000    1.000    0.000
    8   0.000    0.000    0.000    0.000    0.000    0.000    0.000    1.000


MODEL RESULTS

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

Latent Class Pattern 1 1 1

 Thresholds
    U1$1              15.000      0.000    999.000    999.000
    U2$1              15.000      0.000    999.000    999.000
    U3$1              15.000      0.000    999.000    999.000

Latent Class Pattern 1 1 2

 Thresholds
    U1$1              15.000      0.000    999.000    999.000
    U2$1              15.000      0.000    999.000    999.000
    U3$1             -15.000      0.000    999.000    999.000

Latent Class Pattern 1 2 1

 Thresholds
    U1$1              15.000      0.000    999.000    999.000
    U2$1             -15.000      0.000    999.000    999.000
    U3$1              15.000      0.000    999.000    999.000

Latent Class Pattern 1 2 2

 Thresholds
    U1$1              15.000      0.000    999.000    999.000
    U2$1             -15.000      0.000    999.000    999.000
    U3$1             -15.000      0.000    999.000    999.000

Latent Class Pattern 2 1 1

 Thresholds
    U1$1             -15.000      0.000    999.000    999.000
    U2$1              15.000      0.000    999.000    999.000
    U3$1              15.000      0.000    999.000    999.000

Latent Class Pattern 2 1 2

 Thresholds
    U1$1             -15.000      0.000    999.000    999.000
    U2$1              15.000      0.000    999.000    999.000
    U3$1             -15.000      0.000    999.000    999.000

Latent Class Pattern 2 2 1

 Thresholds
    U1$1             -15.000      0.000    999.000    999.000
    U2$1             -15.000      0.000    999.000    999.000
    U3$1              15.000      0.000    999.000    999.000

Latent Class Pattern 2 2 2

 Thresholds
    U1$1             -15.000      0.000    999.000    999.000
    U2$1             -15.000      0.000    999.000    999.000
    U3$1             -15.000      0.000    999.000    999.000

Categorical Latent Variables

 C1#1     WITH
    C3#1               0.168      0.166      1.014      0.311

 C2#1     WITH
    C3#1               0.967      0.166      5.824      0.000

 Means
    C1#1              -0.511      0.138     -3.701      0.000
    C2#1              -0.161      0.134     -1.201      0.230
    C3#1               0.155      0.140      1.110      0.267


RESULTS IN PROBABILITY SCALE

Latent Class Pattern 1 1 1

 U1
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000
 U2
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000
 U3
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000

Latent Class Pattern 1 1 2

 U1
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000
 U2
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000
 U3
    Category 1         0.000      0.000      0.000      1.000
    Category 2         1.000      0.000      0.000      1.000

Latent Class Pattern 1 2 1

 U1
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000
 U2
    Category 1         0.000      0.000      0.000      1.000
    Category 2         1.000      0.000      0.000      1.000
 U3
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000

Latent Class Pattern 1 2 2

 U1
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000
 U2
    Category 1         0.000      0.000      0.000      1.000
    Category 2         1.000      0.000      0.000      1.000
 U3
    Category 1         0.000      0.000      0.000      1.000
    Category 2         1.000      0.000      0.000      1.000

Latent Class Pattern 2 1 1

 U1
    Category 1         0.000      0.000      0.000      1.000
    Category 2         1.000      0.000      0.000      1.000
 U2
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000
 U3
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000

Latent Class Pattern 2 1 2

 U1
    Category 1         0.000      0.000      0.000      1.000
    Category 2         1.000      0.000      0.000      1.000
 U2
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000
 U3
    Category 1         0.000      0.000      0.000      1.000
    Category 2         1.000      0.000      0.000      1.000

Latent Class Pattern 2 2 1

 U1
    Category 1         0.000      0.000      0.000      1.000
    Category 2         1.000      0.000      0.000      1.000
 U2
    Category 1         0.000      0.000      0.000      1.000
    Category 2         1.000      0.000      0.000      1.000
 U3
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000

Latent Class Pattern 2 2 2

 U1
    Category 1         0.000      0.000      0.000      1.000
    Category 2         1.000      0.000      0.000      1.000
 U2
    Category 1         0.000      0.000      0.000      1.000
    Category 2         1.000      0.000      0.000      1.000
 U3
    Category 1         0.000      0.000      0.000      1.000
    Category 2         1.000      0.000      0.000      1.000


LATENT CLASS ODDS RATIO RESULTS

Latent Class Pattern 1 1 1 Compared to Latent Class Pattern 1 1 2

 U1
    Category > 1       1.000      0.000    999.000    999.000
 U2
    Category > 1       1.000      0.000    999.000    999.000
 U3
    Category > 1       0.000      0.000    999.000    999.000

Latent Class Pattern 1 1 1 Compared to Latent Class Pattern 1 2 1

 U1
    Category > 1       1.000      0.000    999.000    999.000
 U2
    Category > 1       0.000      0.000    999.000    999.000
 U3
    Category > 1       1.000      0.000    999.000    999.000

Latent Class Pattern 1 1 1 Compared to Latent Class Pattern 1 2 2

 U1
    Category > 1       1.000      0.000    999.000    999.000
 U2
    Category > 1       0.000      0.000    999.000    999.000
 U3
    Category > 1       0.000      0.000    999.000    999.000

Latent Class Pattern 1 1 1 Compared to Latent Class Pattern 2 1 1

 U1
    Category > 1       0.000      0.000    999.000    999.000
 U2
    Category > 1       1.000      0.000    999.000    999.000
 U3
    Category > 1       1.000      0.000    999.000    999.000

Latent Class Pattern 1 1 1 Compared to Latent Class Pattern 2 1 2

 U1
    Category > 1       0.000      0.000    999.000    999.000
 U2
    Category > 1       1.000      0.000    999.000    999.000
 U3
    Category > 1       0.000      0.000    999.000    999.000

Latent Class Pattern 1 1 1 Compared to Latent Class Pattern 2 2 1

 U1
    Category > 1       0.000      0.000    999.000    999.000
 U2
    Category > 1       0.000      0.000    999.000    999.000
 U3
    Category > 1       1.000      0.000    999.000    999.000

Latent Class Pattern 1 1 1 Compared to Latent Class Pattern 2 2 2

 U1
    Category > 1       0.000      0.000    999.000    999.000
 U2
    Category > 1       0.000      0.000    999.000    999.000
 U3
    Category > 1       0.000      0.000    999.000    999.000

Latent Class Pattern 1 1 2 Compared to Latent Class Pattern 1 2 1

 U1
    Category > 1       1.000      0.000    999.000    999.000
 U2
    Category > 1       0.000      0.000    999.000    999.000
 U3
    Category > 1   *********      0.000    999.000    999.000

Latent Class Pattern 1 1 2 Compared to Latent Class Pattern 1 2 2

 U1
    Category > 1       1.000      0.000    999.000    999.000
 U2
    Category > 1       0.000      0.000    999.000    999.000
 U3
    Category > 1       1.000      0.000    999.000    999.000

Latent Class Pattern 1 1 2 Compared to Latent Class Pattern 2 1 1

 U1
    Category > 1       0.000      0.000    999.000    999.000
 U2
    Category > 1       1.000      0.000    999.000    999.000
 U3
    Category > 1   *********      0.000    999.000    999.000

Latent Class Pattern 1 1 2 Compared to Latent Class Pattern 2 1 2

 U1
    Category > 1       0.000      0.000    999.000    999.000
 U2
    Category > 1       1.000      0.000    999.000    999.000
 U3
    Category > 1       1.000      0.000    999.000    999.000

Latent Class Pattern 1 1 2 Compared to Latent Class Pattern 2 2 1

 U1
    Category > 1       0.000      0.000    999.000    999.000
 U2
    Category > 1       0.000      0.000    999.000    999.000
 U3
    Category > 1   *********      0.000    999.000    999.000

Latent Class Pattern 1 1 2 Compared to Latent Class Pattern 2 2 2

 U1
    Category > 1       0.000      0.000    999.000    999.000
 U2
    Category > 1       0.000      0.000    999.000    999.000
 U3
    Category > 1       1.000      0.000    999.000    999.000

Latent Class Pattern 1 2 1 Compared to Latent Class Pattern 1 2 2

 U1
    Category > 1       1.000      0.000    999.000    999.000
 U2
    Category > 1       1.000      0.000    999.000    999.000
 U3
    Category > 1       0.000      0.000    999.000    999.000

Latent Class Pattern 1 2 1 Compared to Latent Class Pattern 2 1 1

 U1
    Category > 1       0.000      0.000    999.000    999.000
 U2
    Category > 1   *********      0.000    999.000    999.000
 U3
    Category > 1       1.000      0.000    999.000    999.000

Latent Class Pattern 1 2 1 Compared to Latent Class Pattern 2 1 2

 U1
    Category > 1       0.000      0.000    999.000    999.000
 U2
    Category > 1   *********      0.000    999.000    999.000
 U3
    Category > 1       0.000      0.000    999.000    999.000

Latent Class Pattern 1 2 1 Compared to Latent Class Pattern 2 2 1

 U1
    Category > 1       0.000      0.000    999.000    999.000
 U2
    Category > 1       1.000      0.000    999.000    999.000
 U3
    Category > 1       1.000      0.000    999.000    999.000

Latent Class Pattern 1 2 1 Compared to Latent Class Pattern 2 2 2

 U1
    Category > 1       0.000      0.000    999.000    999.000
 U2
    Category > 1       1.000      0.000    999.000    999.000
 U3
    Category > 1       0.000      0.000    999.000    999.000

Latent Class Pattern 1 2 2 Compared to Latent Class Pattern 2 1 1

 U1
    Category > 1       0.000      0.000    999.000    999.000
 U2
    Category > 1   *********      0.000    999.000    999.000
 U3
    Category > 1   *********      0.000    999.000    999.000

Latent Class Pattern 1 2 2 Compared to Latent Class Pattern 2 1 2

 U1
    Category > 1       0.000      0.000    999.000    999.000
 U2
    Category > 1   *********      0.000    999.000    999.000
 U3
    Category > 1       1.000      0.000    999.000    999.000

Latent Class Pattern 1 2 2 Compared to Latent Class Pattern 2 2 1

 U1
    Category > 1       0.000      0.000    999.000    999.000
 U2
    Category > 1       1.000      0.000    999.000    999.000
 U3
    Category > 1   *********      0.000    999.000    999.000

Latent Class Pattern 1 2 2 Compared to Latent Class Pattern 2 2 2

 U1
    Category > 1       0.000      0.000    999.000    999.000
 U2
    Category > 1       1.000      0.000    999.000    999.000
 U3
    Category > 1       1.000      0.000    999.000    999.000

Latent Class Pattern 2 1 1 Compared to Latent Class Pattern 2 1 2

 U1
    Category > 1       1.000      0.000    999.000    999.000
 U2
    Category > 1       1.000      0.000    999.000    999.000
 U3
    Category > 1       0.000      0.000    999.000    999.000

Latent Class Pattern 2 1 1 Compared to Latent Class Pattern 2 2 1

 U1
    Category > 1       1.000      0.000    999.000    999.000
 U2
    Category > 1       0.000      0.000    999.000    999.000
 U3
    Category > 1       1.000      0.000    999.000    999.000

Latent Class Pattern 2 1 1 Compared to Latent Class Pattern 2 2 2

 U1
    Category > 1       1.000      0.000    999.000    999.000
 U2
    Category > 1       0.000      0.000    999.000    999.000
 U3
    Category > 1       0.000      0.000    999.000    999.000

Latent Class Pattern 2 1 2 Compared to Latent Class Pattern 2 2 1

 U1
    Category > 1       1.000      0.000    999.000    999.000
 U2
    Category > 1       0.000      0.000    999.000    999.000
 U3
    Category > 1   *********      0.000    999.000    999.000

Latent Class Pattern 2 1 2 Compared to Latent Class Pattern 2 2 2

 U1
    Category > 1       1.000      0.000    999.000    999.000
 U2
    Category > 1       0.000      0.000    999.000    999.000
 U3
    Category > 1       1.000      0.000    999.000    999.000

Latent Class Pattern 2 2 1 Compared to Latent Class Pattern 2 2 2

 U1
    Category > 1       1.000      0.000    999.000    999.000
 U2
    Category > 1       1.000      0.000    999.000    999.000
 U3
    Category > 1       0.000      0.000    999.000    999.000


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.475E-01
       (ratio of smallest to largest eigenvalue)


TECHNICAL 1 OUTPUT


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 1 1


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 1 2


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 2 1


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 2 2


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 1 1


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 1 2


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 2 1


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 2 2


     PARAMETER SPECIFICATION FOR LATENT CLASS INDICATOR MODEL PART


           TAU(U) FOR LATENT CLASS PATTERN 1 1 1
              U1$1          U2$1          U3$1
              ________      ________      ________
 1                  0             0             0


           TAU(U) FOR LATENT CLASS PATTERN 1 1 2
              U1$1          U2$1          U3$1
              ________      ________      ________
 1                  0             0             0


           TAU(U) FOR LATENT CLASS PATTERN 1 2 1
              U1$1          U2$1          U3$1
              ________      ________      ________
 1                  0             0             0


           TAU(U) FOR LATENT CLASS PATTERN 1 2 2
              U1$1          U2$1          U3$1
              ________      ________      ________
 1                  0             0             0


           TAU(U) FOR LATENT CLASS PATTERN 2 1 1
              U1$1          U2$1          U3$1
              ________      ________      ________
 1                  0             0             0


           TAU(U) FOR LATENT CLASS PATTERN 2 1 2
              U1$1          U2$1          U3$1
              ________      ________      ________
 1                  0             0             0


           TAU(U) FOR LATENT CLASS PATTERN 2 2 1
              U1$1          U2$1          U3$1
              ________      ________      ________
 1                  0             0             0


           TAU(U) FOR LATENT CLASS PATTERN 2 2 2
              U1$1          U2$1          U3$1
              ________      ________      ________
 1                  0             0             0


     PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              C1#1          C1#2          C2#1          C2#2          C3#1
              ________      ________      ________      ________      ________
 1                  1             0             2             0             3


           ALPHA(C)
              C3#2
              ________
 1                  0


           PSI(C)
              C1#1          C1#2
              ________      ________
 C3#1               4             0
 C3#2               0             0


           PSI(C)
              C2#1          C2#2
              ________      ________
 C3#1               5             0
 C3#2               0             0


     STARTING VALUES FOR LATENT CLASS PATTERN 1 1 1


     STARTING VALUES FOR LATENT CLASS PATTERN 1 1 2


     STARTING VALUES FOR LATENT CLASS PATTERN 1 2 1


     STARTING VALUES FOR LATENT CLASS PATTERN 1 2 2


     STARTING VALUES FOR LATENT CLASS PATTERN 2 1 1


     STARTING VALUES FOR LATENT CLASS PATTERN 2 1 2


     STARTING VALUES FOR LATENT CLASS PATTERN 2 2 1


     STARTING VALUES FOR LATENT CLASS PATTERN 2 2 2


     STARTING VALUES FOR LATENT CLASS INDICATOR MODEL PART


           TAU(U) FOR LATENT CLASS PATTERN 1 1 1
              U1$1          U2$1          U3$1
              ________      ________      ________
 1             15.000        15.000        15.000


           TAU(U) FOR LATENT CLASS PATTERN 1 1 2
              U1$1          U2$1          U3$1
              ________      ________      ________
 1             15.000        15.000       -15.000


           TAU(U) FOR LATENT CLASS PATTERN 1 2 1
              U1$1          U2$1          U3$1
              ________      ________      ________
 1             15.000       -15.000        15.000


           TAU(U) FOR LATENT CLASS PATTERN 1 2 2
              U1$1          U2$1          U3$1
              ________      ________      ________
 1             15.000       -15.000       -15.000


           TAU(U) FOR LATENT CLASS PATTERN 2 1 1
              U1$1          U2$1          U3$1
              ________      ________      ________
 1            -15.000        15.000        15.000


           TAU(U) FOR LATENT CLASS PATTERN 2 1 2
              U1$1          U2$1          U3$1
              ________      ________      ________
 1            -15.000        15.000       -15.000


           TAU(U) FOR LATENT CLASS PATTERN 2 2 1
              U1$1          U2$1          U3$1
              ________      ________      ________
 1            -15.000       -15.000        15.000


           TAU(U) FOR LATENT CLASS PATTERN 2 2 2
              U1$1          U2$1          U3$1
              ________      ________      ________
 1            -15.000       -15.000       -15.000


     STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              C1#1          C1#2          C2#1          C2#2          C3#1
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           ALPHA(C)
              C3#2
              ________
 1              0.000


           PSI(C)
              C1#1          C1#2
              ________      ________
 C3#1           0.000         0.000
 C3#2           0.000         0.000


           PSI(C)
              C2#1          C2#2
              ________      ________
 C3#1           0.000         0.000
 C3#2           0.000         0.000


TECHNICAL 8 OUTPUT


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.14826418D+04    0.0000000    0.0000000    140.000    43.000    EM
                                                     63.000    41.000
                                                    198.000    60.000
                                                     88.000    80.000
     2 -0.13865224D+04   96.1194308    0.0648298    140.000    43.000    EM
                                                     63.000    41.000
                                                    198.000    60.000
                                                     88.000    80.000
     3 -0.13806407D+04    5.8817201    0.0042421    140.000    43.000    EM
                                                     63.000    41.000
                                                    198.000    60.000
                                                     88.000    80.000
     4 -0.13806347D+04    0.0059747    0.0000043    140.000    43.000    EM
                                                     63.000    41.000
                                                    198.000    60.000
                                                     88.000    80.000
     5 -0.13806347D+04    0.0000000    0.0000000    140.000    43.000    EM
                                                     63.000    41.000
                                                    198.000    60.000
                                                     88.000    80.000


     Beginning Time:  17:49:25
        Ending Time:  17:49:25
       Elapsed Time:  00:00:00



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