```Mplus VERSION 8
MUTHEN & MUTHEN
04/10/2017   3:29 AM

INPUT INSTRUCTIONS

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

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

analysis:
type = mixture;
parameterization = loglinear;

model population:

%overall%

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

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

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

model population-cu:

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

model population-cy:

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

model:

%overall%

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

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

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

model cu:

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

model cy:

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

output:
tech8 tech9;

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

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

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                        1000

Number of replications
Requested                                                    1
Completed                                                    1
Value of seed                                              3454367

Number of dependent variables                                    8
Number of independent variables                                  0
Number of continuous latent variables                            0
Number of categorical latent variables                           2

Observed dependent variables

Continuous
Y1          Y2          Y3          Y4

Binary and ordered categorical (ordinal)
U1          U2          U3          U4

Categorical latent variables
CU          CY

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

SAMPLE STATISTICS FOR THE FIRST REPLICATION

SAMPLE STATISTICS

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

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

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

MODEL FIT INFORMATION

Number of Free Parameters                       29

Loglikelihood

H0 Value

Mean                             -9141.129
Std Dev                              0.000
Number of successful computations        1

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

Information Criteria

Akaike (AIC)

Mean                             18340.257
Std Dev                              0.000
Number of successful computations        1

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

Bayesian (BIC)

Mean                             18482.582
Std Dev                              0.000
Number of successful computations        1

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

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

Mean                             18390.477
Std Dev                              0.000
Number of successful computations        1

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

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

Pearson Chi-Square

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

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

Likelihood Ratio Chi-Square

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

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

MODEL RESULTS USE THE LATENT CLASS VARIABLE ORDER

CU  CY

Latent Class Variable Patterns

CU        CY
Class     Class

1         1
1         2
1         3
2         1
2         2
2         3

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

Latent Class
Pattern

1  1        227.91529          0.22792
1  2        307.96569          0.30797
1  3        104.85529          0.10486
2  1        108.04199          0.10804
2  2        125.56485          0.12556
2  3        125.65689          0.12566

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

Latent Class
Variable    Class

CU             1       640.73627          0.64074
2       359.26373          0.35926
CY             1       335.95728          0.33596
2       433.53055          0.43353
3       230.51218          0.23051

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

Latent Class
Pattern

1  1        227.91523          0.22792
1  2        307.96567          0.30797
1  3        104.85539          0.10486
2  1        108.04203          0.10804
2  2        125.56487          0.12556
2  3        125.65681          0.12566

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

Latent Class
Variable    Class

CU             1       640.73633          0.64074
2       359.26370          0.35926
CY             1       335.95728          0.33596
2       433.53055          0.43353
3       230.51219          0.23051

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

Class Counts and Proportions

Latent Class
Pattern

1  1              251          0.25100
1  2              337          0.33700
1  3               86          0.08600
2  1               84          0.08400
2  2              108          0.10800
2  3              134          0.13400

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

Latent Class
Variable    Class

CU             1             674          0.67400
2             326          0.32600
CY             1             335          0.33500
2             445          0.44500
3             220          0.22000

CLASSIFICATION QUALITY

Entropy                         0.651

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

Latent Class Variable Patterns

Latent Class         CU        CY
Pattern No.      Class     Class

1             1         1
2             1         2
3             1         3
4             2         1
5             2         2
6             2         3

1        2        3        4        5        6

1   0.833    0.018    0.000    0.146    0.003    0.000
2   0.012    0.763    0.089    0.002    0.098    0.037
3   0.000    0.221    0.631    0.000    0.014    0.133
4   0.170    0.004    0.000    0.816    0.010    0.000
5   0.005    0.173    0.012    0.021    0.661    0.129
6   0.000    0.063    0.144    0.000    0.137    0.656

MODEL RESULTS

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

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

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

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

Latent Class Pattern 1 2

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

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

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

Latent Class Pattern 1 3

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

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

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

Latent Class Pattern 2 1

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

Thresholds
U1\$1                1.000     0.9695     0.0000     0.2390     0.0009 1.000 1.000
U2\$1                1.000     1.0204     0.0000     0.3366     0.0004 1.000 1.000
U3\$1                1.000     0.7857     0.0000     0.2952     0.0459 1.000 1.000
U4\$1                1.000     1.1387     0.0000     0.2879     0.0192 1.000 1.000

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

Latent Class Pattern 2 2

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

Thresholds
U1\$1                1.000     0.9695     0.0000     0.2390     0.0009 1.000 1.000
U2\$1                1.000     1.0204     0.0000     0.3366     0.0004 1.000 1.000
U3\$1                1.000     0.7857     0.0000     0.2952     0.0459 1.000 1.000
U4\$1                1.000     1.1387     0.0000     0.2879     0.0192 1.000 1.000

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

Latent Class Pattern 2 3

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

Thresholds
U1\$1                1.000     0.9695     0.0000     0.2390     0.0009 1.000 1.000
U2\$1                1.000     1.0204     0.0000     0.3366     0.0004 1.000 1.000
U3\$1                1.000     0.7857     0.0000     0.2952     0.0459 1.000 1.000
U4\$1                1.000     1.1387     0.0000     0.2879     0.0192 1.000 1.000

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

Categorical Latent Variables

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

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

QUALITY OF NUMERICAL RESULTS

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

TECHNICAL 1 OUTPUT

PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 1

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

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

PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 2

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

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

PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 3

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

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

PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 1

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

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

PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 2

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

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

PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 3

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

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

PARAMETER SPECIFICATION FOR LATENT CLASS INDICATOR MODEL PART

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

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

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

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

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

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

PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART

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

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

STARTING VALUES FOR LATENT CLASS PATTERN 1 1

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

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

STARTING VALUES FOR LATENT CLASS PATTERN 1 2

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

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

STARTING VALUES FOR LATENT CLASS PATTERN 1 3

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

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

STARTING VALUES FOR LATENT CLASS PATTERN 2 1

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

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

STARTING VALUES FOR LATENT CLASS PATTERN 2 2

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

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

STARTING VALUES FOR LATENT CLASS PATTERN 2 3

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

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

STARTING VALUES FOR LATENT CLASS INDICATOR MODEL PART

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

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

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

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

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

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

STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART

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

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

POPULATION VALUES FOR LATENT CLASS PATTERN 1 1

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

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

POPULATION VALUES FOR LATENT CLASS PATTERN 1 2

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

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

POPULATION VALUES FOR LATENT CLASS PATTERN 1 3

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

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

POPULATION VALUES FOR LATENT CLASS PATTERN 2 1

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

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

POPULATION VALUES FOR LATENT CLASS PATTERN 2 2

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

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

POPULATION VALUES FOR LATENT CLASS PATTERN 2 3

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

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

POPULATION VALUES FOR LATENT CLASS INDICATOR MODEL PART

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

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

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

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

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

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

POPULATION VALUES FOR LATENT CLASS REGRESSION MODEL PART

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

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

TECHNICAL 8 OUTPUT

TECHNICAL 8 OUTPUT FOR REPLICATION 1

ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
1 -0.91566152D+04    0.0000000    0.0000000    214.996   277.127    EM
127.542   119.046
129.256   132.033
2 -0.91442688D+04   12.3464067    0.0013484    217.623   278.244    EM
125.014   116.479
128.310   134.330
3 -0.91426155D+04    1.6533281    0.0001808    219.175   279.771    EM
122.862   115.197
127.198   135.797
4 -0.91419904D+04    0.6250504    0.0000684    220.045   281.570    EM
120.996   114.508
126.247   136.634
5 -0.91417098D+04    0.2806811    0.0000307    220.582   283.404    EM
119.372   114.091
125.506   137.044
6 -0.91415645D+04    0.1452728    0.0000159    220.965   285.153    EM
117.955   113.800
124.962   137.166
7 -0.91414781D+04    0.0864293    0.0000095    221.277   286.767    EM
116.711   113.566
124.582   137.096
8 -0.91414201D+04    0.0579964    0.0000063    221.557   288.239    EM
115.616   113.358
124.336   136.894
9 -0.91413774D+04    0.0426183    0.0000047    221.820   289.574    EM
114.646   113.161
124.194   136.605
10 -0.91413441D+04    0.0333602    0.0000036    222.073   290.787    EM
113.783   112.970
124.130   136.257
11 -0.91413168D+04    0.0272419    0.0000030    222.317   291.891    EM
113.011   112.785
124.125   135.872
12 -0.91412940D+04    0.0228772    0.0000025    222.552   292.899    EM
112.318   112.603
124.163   135.464
13 -0.91412744D+04    0.0195702    0.0000021    222.779   293.824    EM
111.693   112.427
124.231   135.046
14 -0.91412574D+04    0.0169469    0.0000019    222.998   294.675    EM
111.127   112.256
124.320   134.624
15 -0.91412427D+04    0.0147942    0.0000016    223.208   295.462    EM
110.613   112.091
124.421   134.206
16 -0.91412297D+04    0.0129839    0.0000014    223.408   296.191    EM
110.144   111.932
124.531   133.795
17 -0.91412182D+04    0.0114353    0.0000013    223.600   296.868    EM
109.715   111.779
124.644   133.394
18 -0.91412081D+04    0.0100948    0.0000011    223.784   297.498    EM
109.322   111.632
124.757   133.007
19 -0.91411992D+04    0.0089250    0.0000010    223.959   298.087    EM
108.961   111.491
124.869   132.633
20 -0.91411913D+04    0.0078988    0.0000009    224.126   298.638    EM
108.628   111.356
124.977   132.275
21 -0.91411843D+04    0.0069953    0.0000008    224.286   299.153    EM
108.321   111.226
125.081   131.932
22 -0.91411781D+04    0.0061980    0.0000007    224.438   299.637    EM
108.038   111.102
125.180   131.605
23 -0.91411726D+04    0.0054932    0.0000006    224.583   300.091    EM
107.776   110.984
125.273   131.293
24 -0.91411678D+04    0.0048696    0.0000005    224.721   300.517    EM
107.534   110.870
125.361   130.997
25 -0.91411634D+04    0.0043176    0.0000005    224.853   300.919    EM
107.309   110.761
125.442   130.716
26 -0.91411596D+04    0.0038287    0.0000004    224.979   301.296    EM
107.101   110.657
125.517   130.449
27 -0.91411562D+04    0.0033957    0.0000004    225.099   301.652    EM
106.908   110.557
125.587   130.196
28 -0.91411532D+04    0.0030121    0.0000003    225.214   301.986    EM
106.729   110.462
125.651   129.957
29 -0.91411505D+04    0.0026722    0.0000003    225.323   302.302    EM
106.563   110.370
125.710   129.731
30 -0.91411482D+04    0.0023711    0.0000003    225.428   302.600    EM
106.410   110.283
125.764   129.516
31 -0.91411461D+04    0.0021044    0.0000002    225.528   302.880    EM
106.267   110.199
125.813   129.314
32 -0.91411442D+04    0.0018681    0.0000002    225.623   303.145    EM
106.135   110.118
125.857   129.122
33 -0.91411425D+04    0.0016587    0.0000002    225.714   303.395    EM
106.012   110.041
125.897   128.941
34 -0.91411411D+04    0.0014732    0.0000002    225.801   303.631    EM
105.898   109.967
125.932   128.770
35 -0.91411398D+04    0.0013089    0.0000001    225.884   303.854    EM
105.793   109.896
125.965   128.608
36 -0.91411386D+04    0.0011632    0.0000001    225.963   304.064    EM
105.696   109.828
125.993   128.455
37 -0.91411299D+04    0.0087058    0.0000010    227.313   307.264    FS
104.709   108.618
125.911   126.185
38 -0.91411289D+04    0.0009550    0.0000001    227.661   307.495    FS
104.978   108.272
125.660   125.933
39 -0.91411288D+04    0.0001532    0.0000000    227.808   307.870    FS
104.800   108.147
125.656   125.719
40 -0.91411287D+04    0.0000290    0.0000000    227.871   307.885    FS
104.881   108.083
125.582   125.699
41 -0.91411287D+04    0.0000065    0.0000000    227.894   307.954    FS
104.835   108.063
125.588   125.665
42 -0.91411287D+04    0.0000017    0.0000000    227.907   307.949    FS
104.863   108.050
125.567   125.665
43 -0.91411287D+04    0.0000005    0.0000000    227.911   307.965    FS
104.849   108.046
125.571   125.658
44 -0.91411287D+04    0.0000002    0.0000000    227.914   307.962    FS
104.859   108.043
125.564   125.658
45 -0.91411287D+04    0.0000001    0.0000000    227.915   307.966    FS
104.854   108.043
125.566   125.657
46 -0.91411287D+04    0.0000000    0.0000000    227.915   307.964    FS
104.857   108.042
125.564   125.657
47 -0.91411287D+04    0.0000000    0.0000000    227.915   307.966    FS
104.855   108.042
125.565   125.657

TECHNICAL 9 OUTPUT

Error messages for each replication (if any)

SAVEDATA INFORMATION

Order of variables

U1
U2
U3
U4
Y1
Y2
Y3
Y4
CU
CY

Save file
ex7.14.dat

Save file format           Free
Save file record length    10000

Beginning Time:  03:29:20
Ending Time:  03:29:20
Elapsed Time:  00:00:00

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) 1998-2017 Muthen & Muthen
```