Mplus VERSION 8.6
MUTHEN & MUTHEN
02/19/2021 1:52 PM

OUTPUT SECTIONS


INPUT INSTRUCTIONS

  TITLE:
      Regular LTA with pov covariate
      Model 2, C1 ON Pov

  DATA:
      FILE = dp.analytic.dat;
      FORMAT = f1.0, 20f2.0;

  VARIABLE:
      NAMES = pov
          letrec1 begin1 ending1 sight1 wic1
          letrec2 begin2 ending2 sight2 wic2
          letrec3 begin3 ending3 sight3 wic3
          letrec4 begin4 ending4 sight4 wic4;

      USEVARIABLES = pov letrec1 begin1 ending1 sight1 wic1
                              letrec2 begin2 ending2 sight2 wic2
                              letrec3 begin3 ending3 sight3 wic3
                              letrec4 begin4 ending4 sight4 wic4;

      CATEGORICAL =   letrec1 begin1 ending1 sight1 wic1
                            letrec2 begin2 ending2 sight2 wic2
                            letrec3 begin3 ending3 sight3 wic3
                            letrec4 begin4 ending4 sight4 wic4;

      CLASSES = c1(3) c2(3) c3(3) c4(3);

      MISSING = .;


  ANALYSIS:
      TYPE =  mixture;
      optseed = 966014;
      processors = 8;

  MODEL:
      %overall%
      c2 on c1;
      c3 on c2;
      c4 on c3;
      c1 on pov;

  MODEL c1:
      %c1#1%
      [letrec1$1-wic1$1] (1-5);
      %c1#2%
      [letrec1$1-wic1$1] (6-10);
      %c1#3%
      [letrec1$1-wic1$1] (11-15);

  MODEL c2:
      %c2#1%
      [letrec2$1-wic2$1] (1-5);
      %c2#2%
      [letrec2$1-wic2$1] (6-10);
      %c2#3%
      [letrec2$1-wic2$1] (11-15);

  MODEL c3:
      %c3#1%
      [letrec3$1-wic3$1] (1-5);
      %c3#2%
      [letrec3$1-wic3$1] (6-10);
      %c3#3%
      [letrec3$1-wic3$1] (11-15);

  MODEL c4:
      %c4#1%
      [letrec4$1-wic4$1] (1-5);
      %c4#2%
      [letrec4$1-wic4$1] (6-10);
      %c4#3%
      [letrec4$1-wic4$1] (11-15);

  OUTPUT:
      tech8 tech10 tech15 svalues (1 3 2 | 1 3 2 | 1 3 2 | 1 3 2);




INPUT READING TERMINATED NORMALLY




Regular LTA with pov covariate
Model 2, C1 ON Pov

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                        3575

Number of dependent variables                                   20
Number of independent variables                                  1
Number of continuous latent variables                            0
Number of categorical latent variables                           4

Observed dependent variables

  Binary and ordered categorical (ordinal)
   LETREC1     BEGIN1      ENDING1     SIGHT1      WIC1        LETREC2
   BEGIN2      ENDING2     SIGHT2      WIC2        LETREC3     BEGIN3
   ENDING3     SIGHT3      WIC3        LETREC4     BEGIN4      ENDING4
   SIGHT4      WIC4

Observed independent variables
   POV

Categorical latent variables
   C1          C2          C3          C4


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-03
    Relative loglikelihood change                        0.100D-05
    Derivative                                           0.100D-03
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-03
  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-03
  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
Maximum number of iterations for H1                           2000
Convergence criterion for H1                             0.100D-03
Optimization algorithm                                         EMA
Random Starts Specifications
  Random seed for analysis                                  966014
Parameterization                                             LOGIT
Link                                                         LOGIT

Input data file(s)
  dp.analytic.dat
Input data format
  (F1.0, 20F2.0)


SUMMARY OF DATA

     Number of missing data patterns             1
     Number of y missing data patterns           0
     Number of u missing data patterns           1


COVARIANCE COVERAGE OF DATA

Minimum covariance coverage value   0.100


UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES

    LETREC1
      Category 1    0.356         1271.000
      Category 2    0.644         2304.000
    BEGIN1
      Category 1    0.684         2446.000
      Category 2    0.316         1129.000
    ENDING1
      Category 1    0.817         2922.000
      Category 2    0.183          653.000
    SIGHT1
      Category 1    0.971         3470.000
      Category 2    0.029          105.000
    WIC1
      Category 1    0.989         3536.000
      Category 2    0.011           39.000
    LETREC2
      Category 1    0.103          368.000
      Category 2    0.897         3207.000
    BEGIN2
      Category 1    0.270          966.000
      Category 2    0.730         2609.000
    ENDING2
      Category 1    0.467         1669.000
      Category 2    0.533         1906.000
    SIGHT2
      Category 1    0.847         3028.000
      Category 2    0.153          547.000
    WIC2
      Category 1    0.951         3399.000
      Category 2    0.049          176.000
    LETREC3
      Category 1    0.069          247.000
      Category 2    0.931         3328.000
    BEGIN3
      Category 1    0.179          641.000
      Category 2    0.821         2934.000
    ENDING3
      Category 1    0.322         1152.000
      Category 2    0.678         2423.000
    SIGHT3
      Category 1    0.733         2620.000
      Category 2    0.267          955.000
    WIC3
      Category 1    0.898         3212.000
      Category 2    0.102          363.000
    LETREC4
      Category 1    0.033          118.000
      Category 2    0.967         3457.000
    BEGIN4
      Category 1    0.065          234.000
      Category 2    0.935         3341.000
    ENDING4
      Category 1    0.100          358.000
      Category 2    0.900         3217.000
    SIGHT4
      Category 1    0.191          683.000
      Category 2    0.809         2892.000
    WIC4
      Category 1    0.554         1981.000
      Category 2    0.446         1594.000



UNIVARIATE SAMPLE STATISTICS


     UNIVARIATE HIGHER-ORDER MOMENT DESCRIPTIVE STATISTICS

         Variable/         Mean/     Skewness/   Minimum/ % with                Percentiles
        Sample Size      Variance    Kurtosis    Maximum  Min/Max      20%/60%    40%/80%    Median

     POV                   0.192       1.565       0.000   80.81%       0.000      0.000      0.000
            3575.000       0.155       0.449       1.000   19.19%       0.000      0.000


     IN THE OPTIMIZATION, ONE OR MORE LOGIT THRESHOLDS APPROACHED EXTREME VALUES
     OF -15.000 AND 15.000 AND WERE FIXED TO STABILIZE MODEL ESTIMATION.  THESE
     VALUES IMPLY PROBABILITIES OF 0 AND 1.  IN THE MODEL RESULTS SECTION, THESE
     PARAMETERS HAVE 0 STANDARD ERRORS AND 999 IN THE Z-SCORE AND P-VALUE COLUMNS.

     ONE OR MORE MULTINOMIAL LOGIT PARAMETERS WERE FIXED TO AVOID SINGULARITY
     OF THE INFORMATION MATRIX.  THE SINGULARITY IS MOST LIKELY BECAUSE THE
     MODEL IS NOT IDENTIFIED, OR BECAUSE OF EMPTY CELLS IN THE JOINT
     DISTRIBUTION OF THE CATEGORICAL LATENT VARIABLES AND ANY INDEPENDENT
     VARIABLES.  THE FOLLOWING PARAMETERS WERE FIXED:
     Parameter 28, C2#1 ON C1#2
     Parameter 29, C2#2 ON C1#2
     Parameter 37, C4#2 ON C3#2




THE MODEL ESTIMATION TERMINATED NORMALLY

     THE CHI-SQUARE TEST CANNOT BE COMPUTED BECAUSE THE FREQUENCY TABLE FOR THE
     LATENT CLASS INDICATOR MODEL PART IS TOO LARGE.




MODEL FIT INFORMATION

Number of Free Parameters                       37

Loglikelihood

          H0 Value                      -21707.574
          H0 Scaling Correction Factor      0.9610
            for MLR

Information Criteria

          Akaike (AIC)                   43489.147
          Bayesian (BIC)                 43717.871
          Sample-Size Adjusted BIC       43600.304
            (n* = (n + 2) / 24)



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

  Latent Class
    Variable    Class

    C1             1      2463.50342          0.68909
                   2      1029.98755          0.28811
                   3        81.50860          0.02280
    C2             1       835.24463          0.23363
                   2      2274.52490          0.63623
                   3       465.23050          0.13013
    C3             1       502.96875          0.14069
                   2      2240.99463          0.62685
                   3       831.03638          0.23246
    C4             1       144.71724          0.04048
                   2       550.48145          0.15398
                   3      2879.80103          0.80554


CLASSIFICATION QUALITY

     Entropy                         0.905


LATENT CLASS INDICATOR MEANS AND PROBABILITIES FOR EACH LATENT CLASS

     MEAN/PROBABILITY PROFILES FOR C1
                       Latent class
                     1      2      3
     LETREC1
       Category 1  0.498  0.006  0.000
       Category 2  0.502  0.994  1.000
     BEGIN1
       Category 1  0.937  0.085  0.016
       Category 2  0.063  0.915  0.984
     ENDING1
       Category 1  0.988  0.342  0.028
       Category 2  0.012  0.658  0.972
     SIGHT1
       Category 1  1.000  0.950  0.016
       Category 2  0.000  0.050  0.984
     WIC1
       Category 1  1.000  0.999  0.491
       Category 2  0.000  0.001  0.509

     MEAN/PROBABILITY PROFILES FOR C2
                       Latent class
                     1      2      3
     LETREC2
       Category 1  0.498  0.006  0.000
       Category 2  0.502  0.994  1.000
     BEGIN2
       Category 1  0.937  0.085  0.016
       Category 2  0.063  0.915  0.984
     ENDING2
       Category 1  0.988  0.342  0.028
       Category 2  0.012  0.658  0.972
     SIGHT2
       Category 1  1.000  0.950  0.016
       Category 2  0.000  0.050  0.984
     WIC2
       Category 1  1.000  0.999  0.491
       Category 2  0.000  0.001  0.509

     MEAN/PROBABILITY PROFILES FOR C3
                       Latent class
                     1      2      3
     LETREC3
       Category 1  0.498  0.006  0.000
       Category 2  0.502  0.994  1.000
     BEGIN3
       Category 1  0.937  0.085  0.016
       Category 2  0.063  0.915  0.984
     ENDING3
       Category 1  0.988  0.342  0.028
       Category 2  0.012  0.658  0.972
     SIGHT3
       Category 1  1.000  0.950  0.016
       Category 2  0.000  0.050  0.984
     WIC3
       Category 1  1.000  0.999  0.491
       Category 2  0.000  0.001  0.509

     MEAN/PROBABILITY PROFILES FOR C4
                       Latent class
                     1      2      3
     LETREC4
       Category 1  0.498  0.006  0.000
       Category 2  0.502  0.994  1.000
     BEGIN4
       Category 1  0.937  0.085  0.016
       Category 2  0.063  0.915  0.984
     ENDING4
       Category 1  0.988  0.342  0.028
       Category 2  0.012  0.658  0.972
     SIGHT4
       Category 1  1.000  0.950  0.016
       Category 2  0.000  0.050  0.984
     WIC4
       Category 1  1.000  0.999  0.491
       Category 2  0.000  0.001  0.509


LOGISTIC REGRESSION ODDS RATIO RESULTS

                                                95% C.I.
                    Estimate       S.E.  Lower 2.5% Upper 2.5%

Categorical Latent Variables

 C1#1     ON
    POV                8.053      4.759      2.529     25.641

 C1#2     ON
    POV                1.715      1.043      0.521      5.650


LATENT TRANSITION PROBABILITIES BASED ON THE ESTIMATED MODEL

  C1 Classes (Rows) by C2 Classes (Columns)

            1        2        3

   1     0.339    0.649    0.012
   2     0.001    0.655    0.344
   3     0.000    0.000    1.000

  C2 Classes (Rows) by C3 Classes (Columns)

            1        2        3

   1     0.595    0.403    0.002
   2     0.002    0.837    0.161
   3     0.002    0.004    0.994

  C3 Classes (Rows) by C4 Classes (Columns)

            1        2        3

   1     0.264    0.504    0.232
   2     0.005    0.133    0.862
   3     0.001    0.000    0.999


TRANSITION PROBABILITY ODDS


     EVALUATED AT THE SAMPLE MEAN FOR ALL COVARIATES

     TRANSITION TABLE ODDS AND 95% CONFIDENCE INTERVALS FOR C1 TO C2
        1.000(1.000,1.000)   1.917(1.749,2.102)   0.035(0.020,0.060)
        0.001(0.000,0.026)   1.000(1.000,1.000)   0.526(0.453,0.610)
        0.000(0.000,0.000)   0.000(0.000,0.000)   1.000(1.000,1.000)

     TRANSITION TABLE ODDS AND 95% CONFIDENCE INTERVALS FOR C2 TO C3
        1.000(1.000,1.000)   0.677(0.569,0.804)   0.004(0.001,0.029)
        0.003(0.000,0.014)   1.000(1.000,1.000)   0.193(0.166,0.223)
        0.002(0.000,0.017)   0.004(0.000,0.043)   1.000(1.000,1.000)

     TRANSITION TABLE ODDS AND 95% CONFIDENCE INTERVALS FOR C3 TO C4
        1.000(1.000,1.000)   1.913(1.499,2.441)   0.882(0.659,1.181)
        0.039(0.020,0.078)   1.000(1.000,1.000)   6.507(5.605,7.555)
        0.001(0.000,0.089)   0.000(0.000,0.000)   1.000(1.000,1.000)


COVARIATE EFFECTS ON TRANSITION PROBABILITY ODDS RATIOS

     EFFECT OF POV

     TRANSITION TABLE ODDS RATIO AND 95% CONFIDENCE INTERVALS FOR C1 TO C2
        1.000(1.000,1.000)   1.000(1.000,1.000)   1.000(1.000,1.000)
        1.000(1.000,1.000)   1.000(1.000,1.000)   1.000(1.000,1.000)
        1.000(1.000,1.000)   1.000(1.000,1.000)   1.000(1.000,1.000)

     TRANSITION TABLE ODDS RATIO AND 95% CONFIDENCE INTERVALS FOR C2 TO C3
        1.000(1.000,1.000)   1.000(1.000,1.000)   1.000(1.000,1.000)
        1.000(1.000,1.000)   1.000(1.000,1.000)   1.000(1.000,1.000)
        1.000(1.000,1.000)   1.000(1.000,1.000)   1.000(1.000,1.000)

     TRANSITION TABLE ODDS RATIO AND 95% CONFIDENCE INTERVALS FOR C3 TO C4
        1.000(1.000,1.000)   1.000(1.000,1.000)   1.000(1.000,1.000)
        1.000(1.000,1.000)   1.000(1.000,1.000)   1.000(1.000,1.000)
        1.000(1.000,1.000)   1.000(1.000,1.000)   1.000(1.000,1.000)


C-SPECIFIC CLASSIFICATION RESULTS

Classification Quality for C1

     Entropy                         0.886

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

           1        2        3

    1   0.979    0.021    0.000
    2   0.092    0.905    0.003
    3   0.000    0.130    0.870


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

           1        2        3

    1   0.960    0.040    0.000
    2   0.049    0.940    0.011
    3   0.000    0.039    0.961


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

              1        2        3

    1     13.775   10.596    0.000
    2      1.455    4.419    0.000
    3    -12.050   -3.207    0.000

Classification Quality for C2

     Entropy                         0.895

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

           1        2        3

    1   0.921    0.079    0.000
    2   0.013    0.980    0.006
    3   0.000    0.055    0.945


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

           1        2        3

    1   0.965    0.035    0.000
    2   0.030    0.958    0.011
    3   0.000    0.031    0.969


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

              1        2        3

    1     13.779   10.476    0.000
    2      0.975    4.423    0.000
    3    -13.784   -3.446    0.000

Classification Quality for C3

     Entropy                         0.885

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

           1        2        3

    1   0.952    0.048    0.000
    2   0.019    0.971    0.009
    3   0.000    0.097    0.903


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

           1        2        3

    1   0.916    0.084    0.000
    2   0.010    0.951    0.039
    3   0.000    0.025    0.975


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

              1        2        3

    1     13.728   11.338    0.000
    2     -1.325    3.193    0.000
    3    -13.791   -3.680    0.000

Classification Quality for C4

     Entropy                         0.934

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

           1        2        3

    1   0.973    0.027    0.000
    2   0.012    0.939    0.049
    3   0.000    0.013    0.987


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

           1        2        3

    1   0.954    0.046    0.000
    2   0.007    0.926    0.067
    3   0.000    0.009    0.991


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

              1        2        3

    1     13.769   10.726    0.000
    2     -2.254    2.626    0.000
    3    -13.806   -4.673    0.000


MODEL RESULTS

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

Parameters for Class-specific Model Parts of C1

Latent Class C1#1

 Thresholds
    LETREC1$1         -0.007      0.047     -0.152      0.879
    BEGIN1$1           2.703      0.128     21.104      0.000
    ENDING1$1          4.427      0.210     21.115      0.000
    SIGHT1$1          15.000      0.000    999.000    999.000
    WIC1$1            15.000      0.000    999.000    999.000

Latent Class C1#2

 Thresholds
    LETREC1$1         -5.076      0.188    -27.004      0.000
    BEGIN1$1          -2.374      0.062    -38.529      0.000
    ENDING1$1         -0.655      0.037    -17.645      0.000
    SIGHT1$1           2.935      0.112     26.127      0.000
    WIC1$1             6.774      0.496     13.653      0.000

Latent Class C1#3

 Thresholds
    LETREC1$1        -15.000      0.000    999.000    999.000
    BEGIN1$1          -4.102      0.133    -30.796      0.000
    ENDING1$1         -3.562      0.112    -31.868      0.000
    SIGHT1$1          -4.151      0.197    -21.047      0.000
    WIC1$1            -0.034      0.037     -0.923      0.356

Parameters for Class-specific Model Parts of C2

Latent Class C2#1

 Thresholds
    LETREC2$1         -0.007      0.047     -0.152      0.879
    BEGIN2$1           2.703      0.128     21.104      0.000
    ENDING2$1          4.427      0.210     21.115      0.000
    SIGHT2$1          15.000      0.000    999.000    999.000
    WIC2$1            15.000      0.000    999.000    999.000

Latent Class C2#2

 Thresholds
    LETREC2$1         -5.076      0.188    -27.004      0.000
    BEGIN2$1          -2.374      0.062    -38.529      0.000
    ENDING2$1         -0.655      0.037    -17.645      0.000
    SIGHT2$1           2.935      0.112     26.127      0.000
    WIC2$1             6.774      0.496     13.653      0.000

Latent Class C2#3

 Thresholds
    LETREC2$1        -15.000      0.000    999.000    999.000
    BEGIN2$1          -4.102      0.133    -30.796      0.000
    ENDING2$1         -3.562      0.112    -31.868      0.000
    SIGHT2$1          -4.151      0.197    -21.047      0.000
    WIC2$1            -0.034      0.037     -0.923      0.356

Parameters for Class-specific Model Parts of C3

Latent Class C3#1

 Thresholds
    LETREC3$1         -0.007      0.047     -0.152      0.879
    BEGIN3$1           2.703      0.128     21.104      0.000
    ENDING3$1          4.427      0.210     21.115      0.000
    SIGHT3$1          15.000      0.000    999.000    999.000
    WIC3$1            15.000      0.000    999.000    999.000

Latent Class C3#2

 Thresholds
    LETREC3$1         -5.076      0.188    -27.004      0.000
    BEGIN3$1          -2.374      0.062    -38.529      0.000
    ENDING3$1         -0.655      0.037    -17.645      0.000
    SIGHT3$1           2.935      0.112     26.127      0.000
    WIC3$1             6.774      0.496     13.653      0.000

Latent Class C3#3

 Thresholds
    LETREC3$1        -15.000      0.000    999.000    999.000
    BEGIN3$1          -4.102      0.133    -30.796      0.000
    ENDING3$1         -3.562      0.112    -31.868      0.000
    SIGHT3$1          -4.151      0.197    -21.047      0.000
    WIC3$1            -0.034      0.037     -0.923      0.356

Parameters for Class-specific Model Parts of C4

Latent Class C4#1

 Thresholds
    LETREC4$1         -0.007      0.047     -0.152      0.879
    BEGIN4$1           2.703      0.128     21.104      0.000
    ENDING4$1          4.427      0.210     21.115      0.000
    SIGHT4$1          15.000      0.000    999.000    999.000
    WIC4$1            15.000      0.000    999.000    999.000

Latent Class C4#2

 Thresholds
    LETREC4$1         -5.076      0.188    -27.004      0.000
    BEGIN4$1          -2.374      0.062    -38.529      0.000
    ENDING4$1         -0.655      0.037    -17.645      0.000
    SIGHT4$1           2.935      0.112     26.127      0.000
    WIC4$1             6.774      0.496     13.653      0.000

Latent Class C4#3

 Thresholds
    LETREC4$1        -15.000      0.000    999.000    999.000
    BEGIN4$1          -4.102      0.133    -30.796      0.000
    ENDING4$1         -3.562      0.112    -31.868      0.000
    SIGHT4$1          -4.151      0.197    -21.047      0.000
    WIC4$1            -0.034      0.037     -0.923      0.356

Categorical Latent Variables

 C2#1     ON
    C1#1              30.073      1.650     18.228      0.000
    C1#2              20.512      0.000    999.000    999.000

 C2#2     ON
    C1#1              29.201      0.298     98.153      0.000
    C1#2              25.836      0.000    999.000    999.000

 C3#1     ON
    C2#1              11.601      1.439      8.062      0.000
    C2#2               1.710      1.330      1.285      0.199

 C3#2     ON
    C2#1              10.785      1.638      6.583      0.000
    C2#2               7.264      1.270      5.719      0.000

 C4#1     ON
    C3#1               7.348      2.457      2.990      0.003
    C3#2               2.104      2.579      0.816      0.415

 C4#2     ON
    C3#1              26.597      0.172    154.749      0.000
    C3#2              23.951      0.000    999.000    999.000

 C1#1       ON
    POV                2.086      0.591      3.530      0.000

 C1#2       ON
    POV                0.540      0.608      0.887      0.375

 Intercepts
    C1#1               3.162      0.124     25.542      0.000
    C1#2               2.509      0.128     19.634      0.000
    C2#1             -26.716      1.624    -16.447      0.000
    C2#2             -25.193      0.076   -331.583      0.000
    C3#1              -6.043      1.004     -6.020      0.000
    C3#2              -5.617      1.265     -4.441      0.000
    C4#1              -7.222      2.450     -2.948      0.003
    C4#2             -25.823      0.076   -339.039      0.000


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.275E-04
       (ratio of smallest to largest eigenvalue)


RESULTS IN PROBABILITY SCALE

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

Results for Class-specific Model Parts of C1

Latent Class C1#1

 LETREC1
    Category 1         0.498      0.012     42.422      0.000
    Category 2         0.502      0.012     42.726      0.000
 BEGIN1
    Category 1         0.937      0.008    124.353      0.000
    Category 2         0.063      0.008      8.330      0.000
 ENDING1
    Category 1         0.988      0.002    403.849      0.000
    Category 2         0.012      0.002      4.827      0.000
 SIGHT1
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000
 WIC1
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000

Latent Class C1#2

 LETREC1
    Category 1         0.006      0.001      5.353      0.000
    Category 2         0.994      0.001    857.338      0.000
 BEGIN1
    Category 1         0.085      0.005     17.737      0.000
    Category 2         0.915      0.005    190.582      0.000
 ENDING1
    Category 1         0.342      0.008     40.912      0.000
    Category 2         0.658      0.008     78.782      0.000
 SIGHT1
    Category 1         0.950      0.005    176.495      0.000
    Category 2         0.050      0.005      9.374      0.000
 WIC1
    Category 1         0.999      0.001   1764.881      0.000
    Category 2         0.001      0.001      2.018      0.044

Latent Class C1#3

 LETREC1
    Category 1         0.000      0.000      0.000      1.000
    Category 2         1.000      0.000      0.000      1.000
 BEGIN1
    Category 1         0.016      0.002      7.632      0.000
    Category 2         0.984      0.002    461.295      0.000
 ENDING1
    Category 1         0.028      0.003      9.201      0.000
    Category 2         0.972      0.003    324.119      0.000
 SIGHT1
    Category 1         0.016      0.003      5.150      0.000
    Category 2         0.984      0.003    327.049      0.000
 WIC1
    Category 1         0.491      0.009     53.308      0.000
    Category 2         0.509      0.009     55.155      0.000

Results for Class-specific Model Parts of C2

Latent Class C2#1

 LETREC2
    Category 1         0.498      0.012     42.422      0.000
    Category 2         0.502      0.012     42.726      0.000
 BEGIN2
    Category 1         0.937      0.008    124.353      0.000
    Category 2         0.063      0.008      8.330      0.000
 ENDING2
    Category 1         0.988      0.002    403.849      0.000
    Category 2         0.012      0.002      4.827      0.000
 SIGHT2
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000
 WIC2
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000

Latent Class C2#2

 LETREC2
    Category 1         0.006      0.001      5.353      0.000
    Category 2         0.994      0.001    857.338      0.000
 BEGIN2
    Category 1         0.085      0.005     17.737      0.000
    Category 2         0.915      0.005    190.582      0.000
 ENDING2
    Category 1         0.342      0.008     40.912      0.000
    Category 2         0.658      0.008     78.782      0.000
 SIGHT2
    Category 1         0.950      0.005    176.495      0.000
    Category 2         0.050      0.005      9.374      0.000
 WIC2
    Category 1         0.999      0.001   1764.881      0.000
    Category 2         0.001      0.001      2.018      0.044

Latent Class C2#3

 LETREC2
    Category 1         0.000      0.000      0.000      1.000
    Category 2         1.000      0.000      0.000      1.000
 BEGIN2
    Category 1         0.016      0.002      7.632      0.000
    Category 2         0.984      0.002    461.295      0.000
 ENDING2
    Category 1         0.028      0.003      9.201      0.000
    Category 2         0.972      0.003    324.119      0.000
 SIGHT2
    Category 1         0.016      0.003      5.150      0.000
    Category 2         0.984      0.003    327.049      0.000
 WIC2
    Category 1         0.491      0.009     53.308      0.000
    Category 2         0.509      0.009     55.155      0.000

Results for Class-specific Model Parts of C3

Latent Class C3#1

 LETREC3
    Category 1         0.498      0.012     42.422      0.000
    Category 2         0.502      0.012     42.726      0.000
 BEGIN3
    Category 1         0.937      0.008    124.353      0.000
    Category 2         0.063      0.008      8.330      0.000
 ENDING3
    Category 1         0.988      0.002    403.849      0.000
    Category 2         0.012      0.002      4.827      0.000
 SIGHT3
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000
 WIC3
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000

Latent Class C3#2

 LETREC3
    Category 1         0.006      0.001      5.353      0.000
    Category 2         0.994      0.001    857.338      0.000
 BEGIN3
    Category 1         0.085      0.005     17.737      0.000
    Category 2         0.915      0.005    190.582      0.000
 ENDING3
    Category 1         0.342      0.008     40.912      0.000
    Category 2         0.658      0.008     78.782      0.000
 SIGHT3
    Category 1         0.950      0.005    176.495      0.000
    Category 2         0.050      0.005      9.374      0.000
 WIC3
    Category 1         0.999      0.001   1764.881      0.000
    Category 2         0.001      0.001      2.018      0.044

Latent Class C3#3

 LETREC3
    Category 1         0.000      0.000      0.000      1.000
    Category 2         1.000      0.000      0.000      1.000
 BEGIN3
    Category 1         0.016      0.002      7.632      0.000
    Category 2         0.984      0.002    461.295      0.000
 ENDING3
    Category 1         0.028      0.003      9.201      0.000
    Category 2         0.972      0.003    324.119      0.000
 SIGHT3
    Category 1         0.016      0.003      5.150      0.000
    Category 2         0.984      0.003    327.049      0.000
 WIC3
    Category 1         0.491      0.009     53.308      0.000
    Category 2         0.509      0.009     55.155      0.000

Results for Class-specific Model Parts of C4

Latent Class C4#1

 LETREC4
    Category 1         0.498      0.012     42.422      0.000
    Category 2         0.502      0.012     42.726      0.000
 BEGIN4
    Category 1         0.937      0.008    124.353      0.000
    Category 2         0.063      0.008      8.330      0.000
 ENDING4
    Category 1         0.988      0.002    403.849      0.000
    Category 2         0.012      0.002      4.827      0.000
 SIGHT4
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000
 WIC4
    Category 1         1.000      0.000      0.000      1.000
    Category 2         0.000      0.000      0.000      1.000

Latent Class C4#2

 LETREC4
    Category 1         0.006      0.001      5.353      0.000
    Category 2         0.994      0.001    857.338      0.000
 BEGIN4
    Category 1         0.085      0.005     17.737      0.000
    Category 2         0.915      0.005    190.582      0.000
 ENDING4
    Category 1         0.342      0.008     40.912      0.000
    Category 2         0.658      0.008     78.782      0.000
 SIGHT4
    Category 1         0.950      0.005    176.495      0.000
    Category 2         0.050      0.005      9.374      0.000
 WIC4
    Category 1         0.999      0.001   1764.881      0.000
    Category 2         0.001      0.001      2.018      0.044

Latent Class C4#3

 LETREC4
    Category 1         0.000      0.000      0.000      1.000
    Category 2         1.000      0.000      0.000      1.000
 BEGIN4
    Category 1         0.016      0.002      7.632      0.000
    Category 2         0.984      0.002    461.295      0.000
 ENDING4
    Category 1         0.028      0.003      9.201      0.000
    Category 2         0.972      0.003    324.119      0.000
 SIGHT4
    Category 1         0.016      0.003      5.150      0.000
    Category 2         0.984      0.003    327.049      0.000
 WIC4
    Category 1         0.491      0.009     53.308      0.000
    Category 2         0.509      0.009     55.155      0.000


MODEL COMMAND WITH FINAL ESTIMATES USED AS STARTING VALUES

     %OVERALL%

     c2#1 ON c1#1*30.07276;
     c2#1 ON c1#2*20.51190;
     c2#2 ON c1#1*29.20121;
     c2#2 ON c1#2*25.83636;
     c3#1 ON c2#1*11.60093;
     c3#1 ON c2#2*1.70983;
     c3#2 ON c2#1*10.78499;
     c3#2 ON c2#2*7.26418;
     c4#1 ON c3#1*7.34782;
     c4#1 ON c3#2*2.10434;
     c4#2 ON c3#1*26.59743;
     c4#2 ON c3#2*23.95052;
     c1#1 ON pov*2.08600;
     c1#2 ON pov*0.53968;

     [ c1#1*3.16207 ];
     [ c1#2*2.50862 ];
     [ c2#1*-26.71572 ];
     [ c2#2*-25.19333 ];
     [ c3#1*-6.04259 ];
     [ c3#2*-5.61743 ];
     [ c4#1*-7.22237 ];
     [ c4#2*-25.82345 ];

  MODEL C1:
     %C1#1%

     [ letrec1$1*-0.00714 ] (1);
     [ begin1$1*2.70326 ] (2);
     [ ending1$1*4.42685 ] (3);
     [ sight1$1*15 ] (4);
     [ wic1$1*15 ] (5);

     %C1#2%

     [ letrec1$1*-5.07617 ] (6);
     [ begin1$1*-2.37444 ] (7);
     [ ending1$1*-0.65526 ] (8);
     [ sight1$1*2.93540 ] (9);
     [ wic1$1*6.77384 ] (10);

     %C1#3%

     [ letrec1$1*-15 ] (11);
     [ begin1$1*-4.10163 ] (12);
     [ ending1$1*-3.56175 ] (13);
     [ sight1$1*-4.15112 ] (14);
     [ wic1$1*-0.03406 ] (15);

  MODEL C2:
     %C2#1%

     [ letrec2$1*-0.00714 ] (1);
     [ begin2$1*2.70326 ] (2);
     [ ending2$1*4.42685 ] (3);
     [ sight2$1*15 ] (4);
     [ wic2$1*15 ] (5);

     %C2#2%

     [ letrec2$1*-5.07617 ] (6);
     [ begin2$1*-2.37444 ] (7);
     [ ending2$1*-0.65526 ] (8);
     [ sight2$1*2.93540 ] (9);
     [ wic2$1*6.77384 ] (10);

     %C2#3%

     [ letrec2$1*-15 ] (11);
     [ begin2$1*-4.10163 ] (12);
     [ ending2$1*-3.56175 ] (13);
     [ sight2$1*-4.15112 ] (14);
     [ wic2$1*-0.03406 ] (15);

  MODEL C3:
     %C3#1%

     [ letrec3$1*-0.00714 ] (1);
     [ begin3$1*2.70326 ] (2);
     [ ending3$1*4.42685 ] (3);
     [ sight3$1*15 ] (4);
     [ wic3$1*15 ] (5);

     %C3#2%

     [ letrec3$1*-5.07617 ] (6);
     [ begin3$1*-2.37444 ] (7);
     [ ending3$1*-0.65526 ] (8);
     [ sight3$1*2.93540 ] (9);
     [ wic3$1*6.77384 ] (10);

     %C3#3%

     [ letrec3$1*-15 ] (11);
     [ begin3$1*-4.10163 ] (12);
     [ ending3$1*-3.56175 ] (13);
     [ sight3$1*-4.15112 ] (14);
     [ wic3$1*-0.03406 ] (15);

  MODEL C4:
     %C4#1%

     [ letrec4$1*-0.00714 ] (1);
     [ begin4$1*2.70326 ] (2);
     [ ending4$1*4.42685 ] (3);
     [ sight4$1*15 ] (4);
     [ wic4$1*15 ] (5);

     %C4#2%

     [ letrec4$1*-5.07617 ] (6);
     [ begin4$1*-2.37444 ] (7);
     [ ending4$1*-0.65526 ] (8);
     [ sight4$1*2.93540 ] (9);
     [ wic4$1*6.77384 ] (10);

     %C4#3%

     [ letrec4$1*-15 ] (11);
     [ begin4$1*-4.10163 ] (12);
     [ ending4$1*-3.56175 ] (13);
     [ sight4$1*-4.15112 ] (14);
     [ wic4$1*-0.03406 ] (15);



TECHNICAL 10 OUTPUT


     TECH10 OUTPUT FOR THE CATEGORICAL VARIABLES IS NOT AVAILABLE BECAUSE THE FREQUENCY
     TABLE FOR THE LATENT CLASS INDICATOR MODEL PART IS TOO LARGE.


TECHNICAL 15 OUTPUT


     ESTIMATED CONDITIONAL PROBABILITIES FOR THE LATENT CLASS VARIABLES
     EVALUATED AT THE SAMPLE MEAN FOR ALL COVARIATES

     P(C1=1)=0.744
     P(C1=2)=0.239
     P(C1=3)=0.016


     P(C2=1|C1=1)=0.339
     P(C2=2|C1=1)=0.649
     P(C2=3|C1=1)=0.012


     P(C2=1|C1=2)=0.001
     P(C2=2|C1=2)=0.655
     P(C2=3|C1=2)=0.344


     P(C2=1|C1=3)=0.000
     P(C2=2|C1=3)=0.000
     P(C2=3|C1=3)=1.000


     P(C3=1|C1=1,C2=1)=0.595
     P(C3=2|C1=1,C2=1)=0.403
     P(C3=3|C1=1,C2=1)=0.002


     P(C3=1|C1=1,C2=2)=0.002
     P(C3=2|C1=1,C2=2)=0.837
     P(C3=3|C1=1,C2=2)=0.161


     P(C3=1|C1=1,C2=3)=0.002
     P(C3=2|C1=1,C2=3)=0.004
     P(C3=3|C1=1,C2=3)=0.994


     P(C3=1|C1=2,C2=1)=0.595
     P(C3=2|C1=2,C2=1)=0.403
     P(C3=3|C1=2,C2=1)=0.002


     P(C3=1|C1=2,C2=2)=0.002
     P(C3=2|C1=2,C2=2)=0.837
     P(C3=3|C1=2,C2=2)=0.161


     P(C3=1|C1=2,C2=3)=0.002
     P(C3=2|C1=2,C2=3)=0.004
     P(C3=3|C1=2,C2=3)=0.994


     P(C3=1|C1=3,C2=1)=0.595
     P(C3=2|C1=3,C2=1)=0.403
     P(C3=3|C1=3,C2=1)=0.002


     P(C3=1|C1=3,C2=2)=0.002
     P(C3=2|C1=3,C2=2)=0.837
     P(C3=3|C1=3,C2=2)=0.161


     P(C3=1|C1=3,C2=3)=0.002
     P(C3=2|C1=3,C2=3)=0.004
     P(C3=3|C1=3,C2=3)=0.994


     P(C4=1|C1=1,C2=1,C3=1)=0.264
     P(C4=2|C1=1,C2=1,C3=1)=0.504
     P(C4=3|C1=1,C2=1,C3=1)=0.232


     P(C4=1|C1=1,C2=1,C3=2)=0.005
     P(C4=2|C1=1,C2=1,C3=2)=0.133
     P(C4=3|C1=1,C2=1,C3=2)=0.862


     P(C4=1|C1=1,C2=1,C3=3)=0.001
     P(C4=2|C1=1,C2=1,C3=3)=0.000
     P(C4=3|C1=1,C2=1,C3=3)=0.999


     P(C4=1|C1=1,C2=2,C3=1)=0.264
     P(C4=2|C1=1,C2=2,C3=1)=0.504
     P(C4=3|C1=1,C2=2,C3=1)=0.232


     P(C4=1|C1=1,C2=2,C3=2)=0.005
     P(C4=2|C1=1,C2=2,C3=2)=0.133
     P(C4=3|C1=1,C2=2,C3=2)=0.862


     P(C4=1|C1=1,C2=2,C3=3)=0.001
     P(C4=2|C1=1,C2=2,C3=3)=0.000
     P(C4=3|C1=1,C2=2,C3=3)=0.999


     P(C4=1|C1=1,C2=3,C3=1)=0.264
     P(C4=2|C1=1,C2=3,C3=1)=0.504
     P(C4=3|C1=1,C2=3,C3=1)=0.232


     P(C4=1|C1=1,C2=3,C3=2)=0.005
     P(C4=2|C1=1,C2=3,C3=2)=0.133
     P(C4=3|C1=1,C2=3,C3=2)=0.862


     P(C4=1|C1=1,C2=3,C3=3)=0.001
     P(C4=2|C1=1,C2=3,C3=3)=0.000
     P(C4=3|C1=1,C2=3,C3=3)=0.999


     P(C4=1|C1=2,C2=1,C3=1)=0.264
     P(C4=2|C1=2,C2=1,C3=1)=0.504
     P(C4=3|C1=2,C2=1,C3=1)=0.232


     P(C4=1|C1=2,C2=1,C3=2)=0.005
     P(C4=2|C1=2,C2=1,C3=2)=0.133
     P(C4=3|C1=2,C2=1,C3=2)=0.862


     P(C4=1|C1=2,C2=1,C3=3)=0.001
     P(C4=2|C1=2,C2=1,C3=3)=0.000
     P(C4=3|C1=2,C2=1,C3=3)=0.999


     P(C4=1|C1=2,C2=2,C3=1)=0.264
     P(C4=2|C1=2,C2=2,C3=1)=0.504
     P(C4=3|C1=2,C2=2,C3=1)=0.232


     P(C4=1|C1=2,C2=2,C3=2)=0.005
     P(C4=2|C1=2,C2=2,C3=2)=0.133
     P(C4=3|C1=2,C2=2,C3=2)=0.862


     P(C4=1|C1=2,C2=2,C3=3)=0.001
     P(C4=2|C1=2,C2=2,C3=3)=0.000
     P(C4=3|C1=2,C2=2,C3=3)=0.999


     P(C4=1|C1=2,C2=3,C3=1)=0.264
     P(C4=2|C1=2,C2=3,C3=1)=0.504
     P(C4=3|C1=2,C2=3,C3=1)=0.232


     P(C4=1|C1=2,C2=3,C3=2)=0.005
     P(C4=2|C1=2,C2=3,C3=2)=0.133
     P(C4=3|C1=2,C2=3,C3=2)=0.862


     P(C4=1|C1=2,C2=3,C3=3)=0.001
     P(C4=2|C1=2,C2=3,C3=3)=0.000
     P(C4=3|C1=2,C2=3,C3=3)=0.999


     P(C4=1|C1=3,C2=1,C3=1)=0.264
     P(C4=2|C1=3,C2=1,C3=1)=0.504
     P(C4=3|C1=3,C2=1,C3=1)=0.232


     P(C4=1|C1=3,C2=1,C3=2)=0.005
     P(C4=2|C1=3,C2=1,C3=2)=0.133
     P(C4=3|C1=3,C2=1,C3=2)=0.862


     P(C4=1|C1=3,C2=1,C3=3)=0.001
     P(C4=2|C1=3,C2=1,C3=3)=0.000
     P(C4=3|C1=3,C2=1,C3=3)=0.999


     P(C4=1|C1=3,C2=2,C3=1)=0.264
     P(C4=2|C1=3,C2=2,C3=1)=0.504
     P(C4=3|C1=3,C2=2,C3=1)=0.232


     P(C4=1|C1=3,C2=2,C3=2)=0.005
     P(C4=2|C1=3,C2=2,C3=2)=0.133
     P(C4=3|C1=3,C2=2,C3=2)=0.862


     P(C4=1|C1=3,C2=2,C3=3)=0.001
     P(C4=2|C1=3,C2=2,C3=3)=0.000
     P(C4=3|C1=3,C2=2,C3=3)=0.999


     P(C4=1|C1=3,C2=3,C3=1)=0.264
     P(C4=2|C1=3,C2=3,C3=1)=0.504
     P(C4=3|C1=3,C2=3,C3=1)=0.232


     P(C4=1|C1=3,C2=3,C3=2)=0.005
     P(C4=2|C1=3,C2=3,C3=2)=0.133
     P(C4=3|C1=3,C2=3,C3=2)=0.862


     P(C4=1|C1=3,C2=3,C3=3)=0.001
     P(C4=2|C1=3,C2=3,C3=3)=0.000
     P(C4=3|C1=3,C2=3,C3=3)=0.999



     ESTIMATED MARGINAL PROBABILITIES FOR THE LATENT CLASS VARIABLES
     EVALUATED AT THE SAMPLE MEAN FOR ALL COVARIATES

     P(C2=1)=0.252
     P(C2=2)=0.640
     P(C2=3)=0.108

     P(C3=1)=0.152
     P(C3=2)=0.637
     P(C3=3)=0.211

     P(C4=1)=0.043
     P(C4=2)=0.161
     P(C4=3)=0.796



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

  Latent Class
    Pattern

    1  1  1  1        130.86901          0.03661
    1  1  1  2        250.31939          0.07002
    1  1  1  3        115.44036          0.03229
    1  1  2  1          1.73483          0.00049
    1  1  2  2         44.52313          0.01245
    1  1  2  3        289.72632          0.08104
    1  1  3  1          0.00140          0.00000
    1  1  3  2          0.00000          0.00000
    1  1  3  3          1.91319          0.00054
    1  2  1  1          0.89246          0.00025
    1  2  1  2          1.70705          0.00048
    1  2  1  3          0.78724          0.00022
    1  2  2  1          6.91176          0.00193
    1  2  2  2        177.38537          0.04962
    1  2  2  3       1154.30365          0.32288
    1  2  3  1          0.18816          0.00005
    1  2  3  2          0.00000          0.00000
    1  2  3  3        257.72693          0.07209
    1  3  1  1          0.01809          0.00001
    1  3  1  2          0.03460          0.00001
    1  3  1  3          0.01596          0.00000
    1  3  2  1          0.00054          0.00000
    1  3  2  2          0.01392          0.00000
    1  3  2  3          0.09056          0.00003
    1  3  3  1          0.02108          0.00001
    1  3  3  2          0.00000          0.00000
    1  3  3  3         28.87870          0.00808
    2  1  1  1          0.11244          0.00003
    2  1  1  2          0.21506          0.00006
    2  1  1  3          0.09918          0.00003
    2  1  2  1          0.00149          0.00000
    2  1  2  2          0.03825          0.00001
    2  1  2  3          0.24892          0.00007
    2  1  3  1          0.00000          0.00000
    2  1  3  2          0.00000          0.00000
    2  1  3  3          0.00164          0.00000
    2  2  1  1          0.37632          0.00011
    2  2  1  2          0.71980          0.00020
    2  2  1  3          0.33195          0.00009
    2  2  2  1          2.91445          0.00082
    2  2  2  2         74.79713          0.02092
    2  2  2  3        486.72900          0.13615
    2  2  3  1          0.07934          0.00002
    2  2  3  2          0.00000          0.00000
    2  2  3  3        108.67432          0.03040
    2  3  1  1          0.22067          0.00006
    2  3  1  2          0.42208          0.00012
    2  3  1  3          0.19465          0.00005
    2  3  2  1          0.00661          0.00000
    2  3  2  2          0.16976          0.00005
    2  3  2  3          1.10470          0.00031
    2  3  3  1          0.25718          0.00007
    2  3  3  2          0.00000          0.00000
    2  3  3  3        352.27275          0.09854
    3  1  1  1          0.00000          0.00000
    3  1  1  2          0.00000          0.00000
    3  1  1  3          0.00000          0.00000
    3  1  2  1          0.00000          0.00000
    3  1  2  2          0.00000          0.00000
    3  1  2  3          0.00000          0.00000
    3  1  3  1          0.00000          0.00000
    3  1  3  2          0.00000          0.00000
    3  1  3  3          0.00000          0.00000
    3  2  1  1          0.00000          0.00000
    3  2  1  2          0.00000          0.00000
    3  2  1  3          0.00000          0.00000
    3  2  2  1          0.00000          0.00000
    3  2  2  2          0.00000          0.00000
    3  2  2  3          0.00000          0.00000
    3  2  3  1          0.00000          0.00000
    3  2  3  2          0.00000          0.00000
    3  2  3  3          0.00000          0.00000
    3  3  1  1          0.05072          0.00001
    3  3  1  2          0.09701          0.00003
    3  3  1  3          0.04474          0.00001
    3  3  2  1          0.00152          0.00000
    3  3  2  2          0.03902          0.00001
    3  3  2  3          0.25389          0.00007
    3  3  3  1          0.05911          0.00002
    3  3  3  2          0.00000          0.00000
    3  3  3  3         80.96260          0.02265


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

  Latent Class
    Pattern

    1  1  1  1        132.28567          0.03700
    1  1  1  2        251.53065          0.07036
    1  1  1  3        112.63188          0.03151
    1  1  2  1          1.52026          0.00043
    1  1  2  2         75.63421          0.02116
    1  1  2  3        259.02594          0.07245
    1  1  3  1          0.00001          0.00000
    1  1  3  2          0.00000          0.00000
    1  1  3  3          1.91491          0.00054
    1  2  1  1          0.24076          0.00007
    1  2  1  2          1.98164          0.00055
    1  2  1  3          1.20641          0.00034
    1  2  2  1          6.88389          0.00193
    1  2  2  2        202.18313          0.05655
    1  2  2  3       1220.25521          0.34133
    1  2  3  1          0.00328          0.00000
    1  2  3  2          0.00000          0.00000
    1  2  3  3        167.16832          0.04676
    1  3  1  1          0.00001          0.00000
    1  3  1  2          0.00029          0.00000
    1  3  1  3          0.52555          0.00015
    1  3  2  1          0.00000          0.00000
    1  3  2  2          0.00130          0.00000
    1  3  2  3          0.04034          0.00001
    1  3  3  1          0.00000          0.00000
    1  3  3  2          0.00000          0.00000
    1  3  3  3         28.50072          0.00797
    2  1  1  1          0.00030          0.00000
    2  1  1  2          0.00189          0.00000
    2  1  1  3          0.62256          0.00017
    2  1  2  1          0.00002          0.00000
    2  1  2  2          0.00307          0.00000
    2  1  2  3          0.08828          0.00002
    2  1  3  1          0.00000          0.00000
    2  1  3  2          0.00000          0.00000
    2  1  3  3          0.00065          0.00000
    2  2  1  1          0.01395          0.00000
    2  2  1  2          0.01845          0.00001
    2  2  1  3          1.34827          0.00038
    2  2  2  1          3.16927          0.00089
    2  2  2  2         19.14360          0.00535
    2  2  2  3        451.44025          0.12628
    2  2  3  1          0.57686          0.00016
    2  2  3  2          0.00000          0.00000
    2  2  3  3        198.88980          0.05563
    2  3  1  1          0.00009          0.00000
    2  3  1  2          0.00014          0.00000
    2  3  1  3          0.57234          0.00016
    2  3  2  1          0.00009          0.00000
    2  3  2  2          0.00229          0.00000
    2  3  2  3          1.62951          0.00046
    2  3  3  1          0.02401          0.00001
    2  3  3  2          0.00000          0.00000
    2  3  3  3        352.41624          0.09858
    3  1  1  1          0.00000          0.00000
    3  1  1  2          0.00000          0.00000
    3  1  1  3          0.00000          0.00000
    3  1  2  1          0.00000          0.00000
    3  1  2  2          0.00000          0.00000
    3  1  2  3          0.00000          0.00000
    3  1  3  1          0.00000          0.00000
    3  1  3  2          0.00000          0.00000
    3  1  3  3          0.00000          0.00000
    3  2  1  1          0.00000          0.00000
    3  2  1  2          0.00000          0.00000
    3  2  1  3          0.00000          0.00000
    3  2  2  1          0.00000          0.00000
    3  2  2  2          0.00000          0.00000
    3  2  2  3          0.00000          0.00000
    3  2  3  1          0.00000          0.00000
    3  2  3  2          0.00000          0.00000
    3  2  3  3          0.00000          0.00000
    3  3  1  1          0.00000          0.00000
    3  3  1  2          0.00000          0.00000
    3  3  1  3          0.00009          0.00000
    3  3  2  1          0.00000          0.00000
    3  3  2  2          0.00000          0.00000
    3  3  2  3          0.00565          0.00000
    3  3  3  1          0.00006          0.00000
    3  3  3  2          0.00000          0.00000
    3  3  3  3         81.49789          0.02280


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

  Latent Class
    Variable    Class

    C1             1      2463.53439          0.68910
                   2      1029.96192          0.28810
                   3        81.50370          0.02280
    C2             1       835.26030          0.23364
                   2      2274.52309          0.63623
                   3       465.21661          0.13013
    C3             1       502.98093          0.14069
                   2      2241.02631          0.62686
                   3       830.99276          0.23245
    C4             1       144.71854          0.04048
                   2       550.50066          0.15399
                   3      2879.78080          0.80553


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

Class Counts and Proportions

  Latent Class
    Pattern

    1  1  1  1              131          0.03664
    1  1  1  2              221          0.06182
    1  1  1  3              127          0.03552
    1  1  2  1                1          0.00028
    1  1  2  2              115          0.03217
    1  1  2  3              278          0.07776
    1  1  3  1                0          0.00000
    1  1  3  2                0          0.00000
    1  1  3  3                1          0.00028
    1  2  1  1                0          0.00000
    1  2  1  2                0          0.00000
    1  2  1  3                1          0.00028
    1  2  2  1                6          0.00168
    1  2  2  2              187          0.05231
    1  2  2  3             1130          0.31608
    1  2  3  1                0          0.00000
    1  2  3  2                0          0.00000
    1  2  3  3              161          0.04503
    1  3  1  1                0          0.00000
    1  3  1  2                0          0.00000
    1  3  1  3                1          0.00028
    1  3  2  1                0          0.00000
    1  3  2  2                0          0.00000
    1  3  2  3                0          0.00000
    1  3  3  1                0          0.00000
    1  3  3  2                0          0.00000
    1  3  3  3               55          0.01538
    2  1  1  1                0          0.00000
    2  1  1  2                0          0.00000
    2  1  1  3                1          0.00028
    2  1  2  1                0          0.00000
    2  1  2  2                0          0.00000
    2  1  2  3                0          0.00000
    2  1  3  1                0          0.00000
    2  1  3  2                0          0.00000
    2  1  3  3                0          0.00000
    2  2  1  1                0          0.00000
    2  2  1  2                0          0.00000
    2  2  1  3                2          0.00056
    2  2  2  1                4          0.00112
    2  2  2  2               20          0.00559
    2  2  2  3              451          0.12615
    2  2  3  1                0          0.00000
    2  2  3  2                0          0.00000
    2  2  3  3              261          0.07301
    2  3  1  1                0          0.00000
    2  3  1  2                0          0.00000
    2  3  1  3                0          0.00000
    2  3  2  1                0          0.00000
    2  3  2  2                0          0.00000
    2  3  2  3                1          0.00028
    2  3  3  1                0          0.00000
    2  3  3  2                0          0.00000
    2  3  3  3              330          0.09231
    3  1  1  1                0          0.00000
    3  1  1  2                0          0.00000
    3  1  1  3                0          0.00000
    3  1  2  1                0          0.00000
    3  1  2  2                0          0.00000
    3  1  2  3                0          0.00000
    3  1  3  1                0          0.00000
    3  1  3  2                0          0.00000
    3  1  3  3                0          0.00000
    3  2  1  1                0          0.00000
    3  2  1  2                0          0.00000
    3  2  1  3                0          0.00000
    3  2  2  1                0          0.00000
    3  2  2  2                0          0.00000
    3  2  2  3                0          0.00000
    3  2  3  1                0          0.00000
    3  2  3  2                0          0.00000
    3  2  3  3                0          0.00000
    3  3  1  1                0          0.00000
    3  3  1  2                0          0.00000
    3  3  1  3                0          0.00000
    3  3  2  1                0          0.00000
    3  3  2  2                0          0.00000
    3  3  2  3                0          0.00000
    3  3  3  1                0          0.00000
    3  3  3  2                0          0.00000
    3  3  3  3               90          0.02517


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

  Latent Class
    Variable    Class

    C1             1            2415          0.67552
                   2            1070          0.29930
                   3              90          0.02517
    C2             1             875          0.24476
                   2            2223          0.62182
                   3             477          0.13343
    C3             1             484          0.13538
                   2            2193          0.61343
                   3             898          0.25119
    C4             1             142          0.03972
                   2             543          0.15189
                   3            2890          0.80839


LATENT CLASS INDICATOR ODDS RATIOS FOR THE LATENT CLASSES

                                                95% C.I.
                    Estimate       S.E.  Lower 2.5% Upper 2.5%

Results for Class-specific Model Parts of C1

Latent Class C1#1 Compared to Latent Class C1#2

 LETREC1
    Category > 1       0.006      0.001      0.004      0.009
 BEGIN1
    Category > 1       0.006      0.001      0.005      0.008
 ENDING1
    Category > 1       0.006      0.001      0.004      0.009
 SIGHT1
    Category > 1       0.000      0.000      0.000      0.000
 WIC1
    Category > 1       0.000      0.000      0.000      0.000

Latent Class C1#1 Compared to Latent Class C1#3

 LETREC1
    Category > 1       0.000      0.000      0.000      0.000
 BEGIN1
    Category > 1       0.001      0.000      0.001      0.002
 ENDING1
    Category > 1       0.000      0.000      0.000      0.001
 SIGHT1
    Category > 1       0.000      0.000      0.000      0.000
 WIC1
    Category > 1       0.000      0.000      0.000      0.000

Latent Class C1#2 Compared to Latent Class C1#3

 LETREC1
    Category > 1       0.000      0.000      0.000      0.000
 BEGIN1
    Category > 1       0.178      0.026      0.134      0.237
 ENDING1
    Category > 1       0.055      0.006      0.044      0.068
 SIGHT1
    Category > 1       0.001      0.000      0.001      0.001
 WIC1
    Category > 1       0.001      0.001      0.000      0.003

Results for Class-specific Model Parts of C2

Latent Class C2#1 Compared to Latent Class C2#2

 LETREC2
    Category > 1       0.006      0.001      0.004      0.009
 BEGIN2
    Category > 1       0.006      0.001      0.005      0.008
 ENDING2
    Category > 1       0.006      0.001      0.004      0.009
 SIGHT2
    Category > 1       0.000      0.000      0.000      0.000
 WIC2
    Category > 1       0.000      0.000      0.000      0.000

Latent Class C2#1 Compared to Latent Class C2#3

 LETREC2
    Category > 1       0.000      0.000      0.000      0.000
 BEGIN2
    Category > 1       0.001      0.000      0.001      0.002
 ENDING2
    Category > 1       0.000      0.000      0.000      0.001
 SIGHT2
    Category > 1       0.000      0.000      0.000      0.000
 WIC2
    Category > 1       0.000      0.000      0.000      0.000

Latent Class C2#2 Compared to Latent Class C2#3

 LETREC2
    Category > 1       0.000      0.000      0.000      0.000
 BEGIN2
    Category > 1       0.178      0.026      0.134      0.237
 ENDING2
    Category > 1       0.055      0.006      0.044      0.068
 SIGHT2
    Category > 1       0.001      0.000      0.001      0.001
 WIC2
    Category > 1       0.001      0.001      0.000      0.003

Results for Class-specific Model Parts of C3

Latent Class C3#1 Compared to Latent Class C3#2

 LETREC3
    Category > 1       0.006      0.001      0.004      0.009
 BEGIN3
    Category > 1       0.006      0.001      0.005      0.008
 ENDING3
    Category > 1       0.006      0.001      0.004      0.009
 SIGHT3
    Category > 1       0.000      0.000      0.000      0.000
 WIC3
    Category > 1       0.000      0.000      0.000      0.000

Latent Class C3#1 Compared to Latent Class C3#3

 LETREC3
    Category > 1       0.000      0.000      0.000      0.000
 BEGIN3
    Category > 1       0.001      0.000      0.001      0.002
 ENDING3
    Category > 1       0.000      0.000      0.000      0.001
 SIGHT3
    Category > 1       0.000      0.000      0.000      0.000
 WIC3
    Category > 1       0.000      0.000      0.000      0.000

Latent Class C3#2 Compared to Latent Class C3#3

 LETREC3
    Category > 1       0.000      0.000      0.000      0.000
 BEGIN3
    Category > 1       0.178      0.026      0.134      0.237
 ENDING3
    Category > 1       0.055      0.006      0.044      0.068
 SIGHT3
    Category > 1       0.001      0.000      0.001      0.001
 WIC3
    Category > 1       0.001      0.001      0.000      0.003

Results for Class-specific Model Parts of C4

Latent Class C4#1 Compared to Latent Class C4#2

 LETREC4
    Category > 1       0.006      0.001      0.004      0.009
 BEGIN4
    Category > 1       0.006      0.001      0.005      0.008
 ENDING4
    Category > 1       0.006      0.001      0.004      0.009
 SIGHT4
    Category > 1       0.000      0.000      0.000      0.000
 WIC4
    Category > 1       0.000      0.000      0.000      0.000

Latent Class C4#1 Compared to Latent Class C4#3

 LETREC4
    Category > 1       0.000      0.000      0.000      0.000
 BEGIN4
    Category > 1       0.001      0.000      0.001      0.002
 ENDING4
    Category > 1       0.000      0.000      0.000      0.001
 SIGHT4
    Category > 1       0.000      0.000      0.000      0.000
 WIC4
    Category > 1       0.000      0.000      0.000      0.000

Latent Class C4#2 Compared to Latent Class C4#3

 LETREC4
    Category > 1       0.000      0.000      0.000      0.000
 BEGIN4
    Category > 1       0.178      0.026      0.134      0.237
 ENDING4
    Category > 1       0.055      0.006      0.044      0.068
 SIGHT4
    Category > 1       0.001      0.000      0.001      0.001
 WIC4
    Category > 1       0.001      0.001      0.000      0.003


TECHNICAL 8 OUTPUT


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.47209084D+05    0.0000000    0.0000000  EM
              2 -0.28196685D+05 ************    0.4027276  EM
              3 -0.23610754D+05 4585.9307250    0.1626408  EM
              4 -0.22313939D+05 1296.8150378    0.0549248  EM
              5 -0.21997671D+05  316.2685592    0.0141736  EM
              6 -0.21868553D+05  129.1172505    0.0058696  EM
              7 -0.21802932D+05   65.6211800    0.0030007  EM
              8 -0.21765756D+05   37.1757256    0.0017051  EM
              9 -0.21743362D+05   22.3943726    0.0010289  EM
             10 -0.21729557D+05   13.8046835    0.0006349  EM
             11 -0.21721020D+05    8.5372873    0.0003929  EM
             12 -0.21715764D+05    5.2558096    0.0002420  EM
             13 -0.21712551D+05    3.2137309    0.0001480  EM
             14 -0.21710598D+05    1.9529182    0.0000899  EM
             15 -0.21709417D+05    1.1809397    0.0000544  EM
             16 -0.21708706D+05    0.7111792    0.0000328  EM
             17 -0.21708279D+05    0.4267261    0.0000197  EM
             18 -0.21708023D+05    0.2554725    0.0000118  EM
             19 -0.21707870D+05    0.1531268    0.0000071  EM
             20 -0.21707778D+05    0.0924965    0.0000043  EM
             21 -0.21707721D+05    0.0569558    0.0000026  EM
             22 -0.21707684D+05    0.0363972    0.0000017  EM
             23 -0.21707660D+05    0.0246883    0.0000011  EM
             24 -0.21707642D+05    0.0180874    0.0000008  EM
             25 -0.21707627D+05    0.0142893    0.0000007  EM
             26 -0.21707615D+05    0.0118789    0.0000005  EM
             27 -0.21707605D+05    0.0100342    0.0000005  EM
             28 -0.21707597D+05    0.0083533    0.0000004  EM
             29 -0.21707590D+05    0.0067209    0.0000003  EM
             30 -0.21707585D+05    0.0051794    0.0000002  EM
             31 -0.21707581D+05    0.0038175    0.0000002  EM
             32 -0.21707579D+05    0.0026992    0.0000001  EM
             33 -0.21707577D+05    0.0018406    0.0000001  EM
             34 -0.21707576D+05    0.0012178    0.0000001  EM
             35 -0.21707575D+05    0.0007864    0.0000000  EM
             36 -0.21707574D+05    0.0004984    0.0000000  EM
             37 -0.21707574D+05    0.0003113    0.0000000  EM
             38 -0.21707573D+05    0.0004620    0.0000000  FS
             39 -0.21707573D+05    0.0000234    0.0000000  FS


  TECHNICAL 8 OUTPUT FOR LATENT CLASS REORDERING



   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.28617162D+05    0.0000000    0.0000000  EM
              2 -0.22595967D+05 6021.1944331    0.2104050  EM
              3 -0.21963007D+05  632.9607247    0.0280121  EM
              4 -0.21790333D+05  172.6735060    0.0078620  EM
              5 -0.21738053D+05   52.2798102    0.0023992  EM
              6 -0.21720381D+05   17.6724592    0.0008130  EM
              7 -0.21713517D+05    6.8638650    0.0003160  EM
              8 -0.21710490D+05    3.0270726    0.0001394  EM
              9 -0.21709058D+05    1.4318721    0.0000660  EM
             10 -0.21708349D+05    0.7087306    0.0000326  EM
             11 -0.21707987D+05    0.3622040    0.0000167  EM
             12 -0.21707798D+05    0.1893480    0.0000087  EM
             13 -0.21707697D+05    0.1008088    0.0000046  EM
             14 -0.21707643D+05    0.0545600    0.0000025  EM
             15 -0.21707613D+05    0.0299855    0.0000014  EM
             16 -0.21707596D+05    0.0167158    0.0000008  EM
             17 -0.21707586D+05    0.0094400    0.0000004  EM
             18 -0.21707581D+05    0.0053931    0.0000002  EM
             19 -0.21707578D+05    0.0031125    0.0000001  EM
             20 -0.21707576D+05    0.0018122    0.0000001  EM
             21 -0.21707575D+05    0.0010631    0.0000000  EM
             22 -0.21707574D+05    0.0006277    0.0000000  EM
             23 -0.21707574D+05    0.0003727    0.0000000  EM
             24 -0.21707574D+05    0.0002223    0.0000000  EM
             25 -0.21707574D+05    0.0001331    0.0000000  EM
             26 -0.21707574D+05    0.0000800    0.0000000  EM

Available post-processing tools

  Conditional probabilities and odds of the latent class variables

DIAGRAM INFORMATION

  Mplus diagrams are currently not available for Mixture analysis.
  No diagram output was produced.


     Beginning Time:  13:52:06
        Ending Time:  13:52:07
       Elapsed Time:  00:00:01



MUTHEN & MUTHEN
3463 Stoner Ave.
Los Angeles, CA  90066

Tel: (310) 391-9971
Fax: (310) 391-8971
Web: www.StatModel.com
Support: Support@StatModel.com

Copyright (c) 1998-2021 Muthen & Muthen