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

INPUT INSTRUCTIONS

title:
this is an example of a LCA with a second-
order factor (twin analysis)

montecarlo:
names are u11-u13 u21-u23;
genclasses = c1(2) c2(2);
classes = c1(2) c2(2);
generate = u11-u23(1);
categorical = u11-u23;
nobs = 5000;
seed = 3454367;
nrep = 1;
save = ex7.18.dat;

analysis:
type = mixture;
algo = int;

model population:
%overall%

f by u11@0;
[f@0];
f@1;

[c1#1*0 c2#1*0];
c1#1 c2#1 on f*1 (1);

model population-c1:

%c1#1%
[u11\$1-u13\$1*-1];
%c1#2%
[u11\$1-u13\$1*1];

model population-c2:

%c2#1%
[u21\$1-u23\$1*-1];
%c2#2%
[u21\$1-u23\$1*1];

model:
%overall%

f by u11@0;
[f@0];
f@1;

[c1#1*0 c2#1*0];
c1#1 c2#1 on f*1 (1);

model c1:

%c1#1%
[u11\$1-u13\$1*-1];
%c1#2%
[u11\$1-u13\$1*1];

model c2:

%c2#1%
[u21\$1-u23\$1*-1];
%c2#2%
[u21\$1-u23\$1*1];

output:
tech8 tech9;

INPUT READING TERMINATED NORMALLY

this is an example of a LCA with a second-
order factor (twin analysis)

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                        5000

Number of replications
Requested                                                    1
Completed                                                    1
Value of seed                                              3454367

Number of dependent variables                                    6
Number of independent variables                                  0
Number of continuous latent variables                            1
Number of categorical latent variables                           2

Observed dependent variables

Binary and ordered categorical (ordinal)
U11         U12         U13         U21         U22         U23

Continuous latent variables
F

Categorical latent variables
C1          C2

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-02
Relative loglikelihood change                        0.100D-05
Derivative                                           0.100D-02
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-02
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-02
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
Integration Specifications
Type                                                    STANDARD
Number of integration points                                  15
Dimensions of numerical integration                            1
Adaptive quadrature                                           ON
Parameterization                                             LOGIT
Link                                                         LOGIT
Cholesky                                                        ON

MODEL FIT INFORMATION

Number of Free Parameters                       15

Loglikelihood

H0 Value

Mean                            -20142.956
Std Dev                              0.000
Number of successful computations        1

Proportions                   Percentiles
Expected    Observed         Expected       Observed
0.990       0.000       -20142.956     -20142.956
0.980       0.000       -20142.956     -20142.956
0.950       0.000       -20142.956     -20142.956
0.900       0.000       -20142.956     -20142.956
0.800       0.000       -20142.956     -20142.956
0.700       0.000       -20142.956     -20142.956
0.500       0.000       -20142.956     -20142.956
0.300       0.000       -20142.956     -20142.956
0.200       0.000       -20142.956     -20142.956
0.100       0.000       -20142.956     -20142.956
0.050       0.000       -20142.956     -20142.956
0.020       0.000       -20142.956     -20142.956
0.010       0.000       -20142.956     -20142.956

Information Criteria

Akaike (AIC)

Mean                             40315.911
Std Dev                              0.000
Number of successful computations        1

Proportions                   Percentiles
Expected    Observed         Expected       Observed
0.990       0.000        40315.911      40315.911
0.980       0.000        40315.911      40315.911
0.950       0.000        40315.911      40315.911
0.900       0.000        40315.911      40315.911
0.800       0.000        40315.911      40315.911
0.700       0.000        40315.911      40315.911
0.500       0.000        40315.911      40315.911
0.300       0.000        40315.911      40315.911
0.200       0.000        40315.911      40315.911
0.100       0.000        40315.911      40315.911
0.050       0.000        40315.911      40315.911
0.020       0.000        40315.911      40315.911
0.010       0.000        40315.911      40315.911

Bayesian (BIC)

Mean                             40413.669
Std Dev                              0.000
Number of successful computations        1

Proportions                   Percentiles
Expected    Observed         Expected       Observed
0.990       0.000        40413.669      40413.669
0.980       0.000        40413.669      40413.669
0.950       0.000        40413.669      40413.669
0.900       0.000        40413.669      40413.669
0.800       0.000        40413.669      40413.669
0.700       0.000        40413.669      40413.669
0.500       0.000        40413.669      40413.669
0.300       0.000        40413.669      40413.669
0.200       0.000        40413.669      40413.669
0.100       0.000        40413.669      40413.669
0.050       0.000        40413.669      40413.669
0.020       0.000        40413.669      40413.669
0.010       0.000        40413.669      40413.669

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

Mean                             40366.004
Std Dev                              0.000
Number of successful computations        1

Proportions                   Percentiles
Expected    Observed         Expected       Observed
0.990       0.000        40366.004      40366.004
0.980       0.000        40366.004      40366.004
0.950       0.000        40366.004      40366.004
0.900       0.000        40366.004      40366.004
0.800       0.000        40366.004      40366.004
0.700       0.000        40366.004      40366.004
0.500       0.000        40366.004      40366.004
0.300       0.000        40366.004      40366.004
0.200       0.000        40366.004      40366.004
0.100       0.000        40366.004      40366.004
0.050       0.000        40366.004      40366.004
0.020       0.000        40366.004      40366.004
0.010       0.000        40366.004      40366.004

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

Pearson Chi-Square

Mean                                42.947
Std Dev                              0.000
Degrees of freedom                      48
Number of successful computations        1

Proportions                   Percentiles
Expected    Observed         Expected       Observed
0.990       1.000           28.177         42.947
0.980       1.000           30.080         42.947
0.950       1.000           33.098         42.947
0.900       1.000           35.949         42.947
0.800       1.000           39.621         42.947
0.700       1.000           42.420         42.947
0.500       0.000           47.335         42.947
0.300       0.000           52.616         42.947
0.200       0.000           55.993         42.947
0.100       0.000           60.907         42.947
0.050       0.000           65.171         42.947
0.020       0.000           70.197         42.947
0.010       0.000           73.683         42.947

Likelihood Ratio Chi-Square

Mean                                43.600
Std Dev                              0.000
Degrees of freedom                      48
Number of successful computations        1

Proportions                   Percentiles
Expected    Observed         Expected       Observed
0.990       1.000           28.177         43.600
0.980       1.000           30.080         43.600
0.950       1.000           33.098         43.600
0.900       1.000           35.949         43.600
0.800       1.000           39.621         43.600
0.700       1.000           42.420         43.600
0.500       0.000           47.335         43.600
0.300       0.000           52.616         43.600
0.200       0.000           55.993         43.600
0.100       0.000           60.907         43.600
0.050       0.000           65.171         43.600
0.020       0.000           70.197         43.600
0.010       0.000           73.683         43.600

MODEL RESULTS USE THE LATENT CLASS VARIABLE ORDER

C1  C2

Latent Class Variable Patterns

C1        C2
Class     Class

1         1
1         2
2         1
2         2

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

Latent Class
Pattern

1  1       1559.69489          0.31194
1  2       1004.83398          0.20097
2  1       1144.59972          0.22892
2  2       1290.87141          0.25817

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

Latent Class
Variable    Class

C1             1      2564.52881          0.51291
2      2435.47119          0.48709
C2             1      2704.29468          0.54086
2      2295.70532          0.45914

LATENT TRANSITION PROBABILITIES BASED ON THE ESTIMATED MODEL

C1 Classes (Rows) by C2 Classes (Columns)

1        2

1     0.608    0.392
2     0.470    0.530

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

Latent Class
Pattern

1  1       1559.18736          0.31184
1  2       1005.11311          0.20102
2  1       1144.91641          0.22898
2  2       1290.78312          0.25816

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

Latent Class
Variable    Class

C1             1      2564.30054          0.51286
2      2435.69946          0.48714
C2             1      2704.10376          0.54082
2      2295.89624          0.45918

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             1342          0.26840
1  2             1150          0.23000
2  1             1219          0.24380
2  2             1289          0.25780

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

Latent Class
Variable    Class

C1             1            2492          0.49840
2            2508          0.50160
C2             1            2561          0.51220
2            2439          0.48780

CLASSIFICATION QUALITY

Entropy                         0.407

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

Latent Class Variable Patterns

Latent Class         C1        C2
Pattern No.      Class     Class

1             1         1
2             1         2
3             2         1
4             2         2

1        2        3        4

1   0.763    0.097    0.115    0.026
2   0.211    0.599    0.032    0.158
3   0.196    0.025    0.639    0.140
4   0.041    0.121    0.137    0.701

MODEL RESULTS

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

F        BY
U11                 0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000

Means
F                   0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000

Thresholds
U11\$1              -1.000    -0.9627     0.0000     0.0998     0.0014 1.000 1.000
U12\$1              -1.000    -0.9844     0.0000     0.1032     0.0002 1.000 1.000
U13\$1              -1.000    -0.9426     0.0000     0.0977     0.0033 1.000 1.000
U21\$1              -1.000    -0.9353     0.0000     0.0920     0.0042 1.000 1.000
U22\$1              -1.000    -1.0347     0.0000     0.1055     0.0012 1.000 1.000
U23\$1              -1.000    -0.9166     0.0000     0.0898     0.0069 1.000 1.000

Variances
F                   1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000

Latent Class Pattern 1 2

F        BY
U11                 0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000

Means
F                   0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000

Thresholds
U11\$1              -1.000    -0.9627     0.0000     0.0998     0.0014 1.000 1.000
U12\$1              -1.000    -0.9844     0.0000     0.1032     0.0002 1.000 1.000
U13\$1              -1.000    -0.9426     0.0000     0.0977     0.0033 1.000 1.000
U21\$1               1.000     0.9921     0.0000     0.1031     0.0001 1.000 1.000
U22\$1               1.000     1.2868     0.0000     0.1387     0.0822 0.000 1.000
U23\$1               1.000     0.9761     0.0000     0.1021     0.0006 1.000 1.000

Variances
F                   1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000

Latent Class Pattern 2 1

F        BY
U11                 0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000

Means
F                   0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000

Thresholds
U11\$1               1.000     1.0120     0.0000     0.1044     0.0001 1.000 1.000
U12\$1               1.000     1.0804     0.0000     0.1105     0.0065 1.000 1.000
U13\$1               1.000     1.0537     0.0000     0.1081     0.0029 1.000 1.000
U21\$1              -1.000    -0.9353     0.0000     0.0920     0.0042 1.000 1.000
U22\$1              -1.000    -1.0347     0.0000     0.1055     0.0012 1.000 1.000
U23\$1              -1.000    -0.9166     0.0000     0.0898     0.0069 1.000 1.000

Variances
F                   1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000

Latent Class Pattern 2 2

F        BY
U11                 0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000

Means
F                   0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000

Thresholds
U11\$1               1.000     1.0120     0.0000     0.1044     0.0001 1.000 1.000
U12\$1               1.000     1.0804     0.0000     0.1105     0.0065 1.000 1.000
U13\$1               1.000     1.0537     0.0000     0.1081     0.0029 1.000 1.000
U21\$1               1.000     0.9921     0.0000     0.1031     0.0001 1.000 1.000
U22\$1               1.000     1.2868     0.0000     0.1387     0.0822 0.000 1.000
U23\$1               1.000     0.9761     0.0000     0.1021     0.0006 1.000 1.000

Variances
F                   1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000

Categorical Latent Variables

C1#1       ON
F                   1.000     0.8605     0.0000     0.1238     0.0195 1.000 1.000

C2#1       ON
F                   1.000     0.8605     0.0000     0.1238     0.0195 1.000 1.000

Intercepts
C1#1                0.000     0.0597     0.0000     0.1553     0.0036 1.000 0.000
C2#1                0.000     0.1900     0.0000     0.1533     0.0361 1.000 0.000

QUALITY OF NUMERICAL RESULTS

Average Condition Number for the Information Matrix      0.222E-01
(ratio of smallest to largest eigenvalue)

TECHNICAL 1 OUTPUT

PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 1

NU
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
0             0             0             0             0

NU
U23
________
0

LAMBDA
F
________
U11                0
U12                0
U13                0
U21                0
U22                0
U23                0

THETA
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
U11                0
U12                0             0
U13                0             0             0
U21                0             0             0             0
U22                0             0             0             0             0
U23                0             0             0             0             0

THETA
U23
________
U23                0

ALPHA
F
________
0

BETA
F
________
F                  0

PSI
F
________
F                  0

PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 2

NU
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
0             0             0             0             0

NU
U23
________
0

LAMBDA
F
________
U11                0
U12                0
U13                0
U21                0
U22                0
U23                0

THETA
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
U11                0
U12                0             0
U13                0             0             0
U21                0             0             0             0
U22                0             0             0             0             0
U23                0             0             0             0             0

THETA
U23
________
U23                0

ALPHA
F
________
0

BETA
F
________
F                  0

PSI
F
________
F                  0

PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 1

NU
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
0             0             0             0             0

NU
U23
________
0

LAMBDA
F
________
U11                0
U12                0
U13                0
U21                0
U22                0
U23                0

THETA
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
U11                0
U12                0             0
U13                0             0             0
U21                0             0             0             0
U22                0             0             0             0             0
U23                0             0             0             0             0

THETA
U23
________
U23                0

ALPHA
F
________
0

BETA
F
________
F                  0

PSI
F
________
F                  0

PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 2

NU
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
0             0             0             0             0

NU
U23
________
0

LAMBDA
F
________
U11                0
U12                0
U13                0
U21                0
U22                0
U23                0

THETA
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
U11                0
U12                0             0
U13                0             0             0
U21                0             0             0             0
U22                0             0             0             0             0
U23                0             0             0             0             0

THETA
U23
________
U23                0

ALPHA
F
________
0

BETA
F
________
F                  0

PSI
F
________
F                  0

PARAMETER SPECIFICATION FOR LATENT CLASS INDICATOR MODEL PART

TAU(U) FOR LATENT CLASS PATTERN 1 1
U11\$1         U12\$1         U13\$1         U21\$1         U22\$1
________      ________      ________      ________      ________
1             2             3             4             5

TAU(U) FOR LATENT CLASS PATTERN 1 1
U23\$1
________
6

TAU(U) FOR LATENT CLASS PATTERN 1 2
U11\$1         U12\$1         U13\$1         U21\$1         U22\$1
________      ________      ________      ________      ________
1             2             3             7             8

TAU(U) FOR LATENT CLASS PATTERN 1 2
U23\$1
________
9

TAU(U) FOR LATENT CLASS PATTERN 2 1
U11\$1         U12\$1         U13\$1         U21\$1         U22\$1
________      ________      ________      ________      ________
10            11            12             4             5

TAU(U) FOR LATENT CLASS PATTERN 2 1
U23\$1
________
6

TAU(U) FOR LATENT CLASS PATTERN 2 2
U11\$1         U12\$1         U13\$1         U21\$1         U22\$1
________      ________      ________      ________      ________
10            11            12             7             8

TAU(U) FOR LATENT CLASS PATTERN 2 2
U23\$1
________
9

PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART

ALPHA(C)
C1#1          C1#2          C2#1          C2#2
________      ________      ________      ________
13             0            14             0

GAMMA(C)
F
________
C1#1              15
C1#2               0
C2#1              15
C2#2               0

STARTING VALUES FOR LATENT CLASS PATTERN 1 1

NU
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
0.000         0.000         0.000         0.000         0.000

NU
U23
________
0.000

LAMBDA
F
________
U11            0.000
U12            0.000
U13            0.000
U21            0.000
U22            0.000
U23            0.000

THETA
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
U11            1.000
U12            0.000         1.000
U13            0.000         0.000         1.000
U21            0.000         0.000         0.000         1.000
U22            0.000         0.000         0.000         0.000         1.000
U23            0.000         0.000         0.000         0.000         0.000

THETA
U23
________
U23            1.000

ALPHA
F
________
0.000

BETA
F
________
F              0.000

PSI
F
________
F              1.000

STARTING VALUES FOR LATENT CLASS PATTERN 1 2

NU
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
0.000         0.000         0.000         0.000         0.000

NU
U23
________
0.000

LAMBDA
F
________
U11            0.000
U12            0.000
U13            0.000
U21            0.000
U22            0.000
U23            0.000

THETA
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
U11            1.000
U12            0.000         1.000
U13            0.000         0.000         1.000
U21            0.000         0.000         0.000         1.000
U22            0.000         0.000         0.000         0.000         1.000
U23            0.000         0.000         0.000         0.000         0.000

THETA
U23
________
U23            1.000

ALPHA
F
________
0.000

BETA
F
________
F              0.000

PSI
F
________
F              1.000

STARTING VALUES FOR LATENT CLASS PATTERN 2 1

NU
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
0.000         0.000         0.000         0.000         0.000

NU
U23
________
0.000

LAMBDA
F
________
U11            0.000
U12            0.000
U13            0.000
U21            0.000
U22            0.000
U23            0.000

THETA
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
U11            1.000
U12            0.000         1.000
U13            0.000         0.000         1.000
U21            0.000         0.000         0.000         1.000
U22            0.000         0.000         0.000         0.000         1.000
U23            0.000         0.000         0.000         0.000         0.000

THETA
U23
________
U23            1.000

ALPHA
F
________
0.000

BETA
F
________
F              0.000

PSI
F
________
F              1.000

STARTING VALUES FOR LATENT CLASS PATTERN 2 2

NU
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
0.000         0.000         0.000         0.000         0.000

NU
U23
________
0.000

LAMBDA
F
________
U11            0.000
U12            0.000
U13            0.000
U21            0.000
U22            0.000
U23            0.000

THETA
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
U11            1.000
U12            0.000         1.000
U13            0.000         0.000         1.000
U21            0.000         0.000         0.000         1.000
U22            0.000         0.000         0.000         0.000         1.000
U23            0.000         0.000         0.000         0.000         0.000

THETA
U23
________
U23            1.000

ALPHA
F
________
0.000

BETA
F
________
F              0.000

PSI
F
________
F              1.000

STARTING VALUES FOR LATENT CLASS INDICATOR MODEL PART

TAU(U) FOR LATENT CLASS PATTERN 1 1
U11\$1         U12\$1         U13\$1         U21\$1         U22\$1
________      ________      ________      ________      ________
-1.000        -1.000        -1.000        -1.000        -1.000

TAU(U) FOR LATENT CLASS PATTERN 1 1
U23\$1
________
-1.000

TAU(U) FOR LATENT CLASS PATTERN 1 2
U11\$1         U12\$1         U13\$1         U21\$1         U22\$1
________      ________      ________      ________      ________
-1.000        -1.000        -1.000         1.000         1.000

TAU(U) FOR LATENT CLASS PATTERN 1 2
U23\$1
________
1.000

TAU(U) FOR LATENT CLASS PATTERN 2 1
U11\$1         U12\$1         U13\$1         U21\$1         U22\$1
________      ________      ________      ________      ________
1.000         1.000         1.000        -1.000        -1.000

TAU(U) FOR LATENT CLASS PATTERN 2 1
U23\$1
________
-1.000

TAU(U) FOR LATENT CLASS PATTERN 2 2
U11\$1         U12\$1         U13\$1         U21\$1         U22\$1
________      ________      ________      ________      ________
1.000         1.000         1.000         1.000         1.000

TAU(U) FOR LATENT CLASS PATTERN 2 2
U23\$1
________
1.000

STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART

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

GAMMA(C)
F
________
C1#1           1.000
C1#2           0.000
C2#1           1.000
C2#2           0.000

POPULATION VALUES FOR LATENT CLASS PATTERN 1 1

NU
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
0.000         0.000         0.000         0.000         0.000

NU
U23
________
0.000

LAMBDA
F
________
U11            0.000
U12            0.000
U13            0.000
U21            0.000
U22            0.000
U23            0.000

THETA
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
U11            0.000
U12            0.000         0.000
U13            0.000         0.000         0.000
U21            0.000         0.000         0.000         0.000
U22            0.000         0.000         0.000         0.000         0.000
U23            0.000         0.000         0.000         0.000         0.000

THETA
U23
________
U23            0.000

ALPHA
F
________
0.000

BETA
F
________
F              0.000

PSI
F
________
F              1.000

POPULATION VALUES FOR LATENT CLASS PATTERN 1 2

NU
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
0.000         0.000         0.000         0.000         0.000

NU
U23
________
0.000

LAMBDA
F
________
U11            0.000
U12            0.000
U13            0.000
U21            0.000
U22            0.000
U23            0.000

THETA
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
U11            0.000
U12            0.000         0.000
U13            0.000         0.000         0.000
U21            0.000         0.000         0.000         0.000
U22            0.000         0.000         0.000         0.000         0.000
U23            0.000         0.000         0.000         0.000         0.000

THETA
U23
________
U23            0.000

ALPHA
F
________
0.000

BETA
F
________
F              0.000

PSI
F
________
F              1.000

POPULATION VALUES FOR LATENT CLASS PATTERN 2 1

NU
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
0.000         0.000         0.000         0.000         0.000

NU
U23
________
0.000

LAMBDA
F
________
U11            0.000
U12            0.000
U13            0.000
U21            0.000
U22            0.000
U23            0.000

THETA
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
U11            0.000
U12            0.000         0.000
U13            0.000         0.000         0.000
U21            0.000         0.000         0.000         0.000
U22            0.000         0.000         0.000         0.000         0.000
U23            0.000         0.000         0.000         0.000         0.000

THETA
U23
________
U23            0.000

ALPHA
F
________
0.000

BETA
F
________
F              0.000

PSI
F
________
F              1.000

POPULATION VALUES FOR LATENT CLASS PATTERN 2 2

NU
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
0.000         0.000         0.000         0.000         0.000

NU
U23
________
0.000

LAMBDA
F
________
U11            0.000
U12            0.000
U13            0.000
U21            0.000
U22            0.000
U23            0.000

THETA
U11           U12           U13           U21           U22
________      ________      ________      ________      ________
U11            0.000
U12            0.000         0.000
U13            0.000         0.000         0.000
U21            0.000         0.000         0.000         0.000
U22            0.000         0.000         0.000         0.000         0.000
U23            0.000         0.000         0.000         0.000         0.000

THETA
U23
________
U23            0.000

ALPHA
F
________
0.000

BETA
F
________
F              0.000

PSI
F
________
F              1.000

POPULATION VALUES FOR LATENT CLASS INDICATOR MODEL PART

TAU(U) FOR LATENT CLASS PATTERN 1 1
U11\$1         U12\$1         U13\$1         U21\$1         U22\$1
________      ________      ________      ________      ________
-1.000        -1.000        -1.000        -1.000        -1.000

TAU(U) FOR LATENT CLASS PATTERN 1 1
U23\$1
________
-1.000

TAU(U) FOR LATENT CLASS PATTERN 1 2
U11\$1         U12\$1         U13\$1         U21\$1         U22\$1
________      ________      ________      ________      ________
-1.000        -1.000        -1.000         1.000         1.000

TAU(U) FOR LATENT CLASS PATTERN 1 2
U23\$1
________
1.000

TAU(U) FOR LATENT CLASS PATTERN 2 1
U11\$1         U12\$1         U13\$1         U21\$1         U22\$1
________      ________      ________      ________      ________
1.000         1.000         1.000        -1.000        -1.000

TAU(U) FOR LATENT CLASS PATTERN 2 1
U23\$1
________
-1.000

TAU(U) FOR LATENT CLASS PATTERN 2 2
U11\$1         U12\$1         U13\$1         U21\$1         U22\$1
________      ________      ________      ________      ________
1.000         1.000         1.000         1.000         1.000

TAU(U) FOR LATENT CLASS PATTERN 2 2
U23\$1
________
1.000

POPULATION VALUES FOR LATENT CLASS REGRESSION MODEL PART

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

GAMMA(C)
F
________
C1#1           1.000
C1#2           0.000
C2#1           1.000
C2#2           0.000

TECHNICAL 8 OUTPUT

TECHNICAL 8 OUTPUT FOR REPLICATION 1

ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
1 -0.20150468D+05    0.0000000    0.0000000   1474.415  1019.698    EM
1065.829  1440.057
2 -0.20145955D+05    4.5126575    0.0002239   1473.299  1020.358    EM
1068.881  1437.461
3 -0.20145216D+05    0.7391764    0.0000367   1474.051  1020.868    EM
1071.714  1433.367
4 -0.20144748D+05    0.4683941    0.0000233   1475.119  1021.280    EM
1074.418  1429.183
5 -0.20144433D+05    0.3146529    0.0000156   1476.271  1021.616    EM
1077.007  1425.106
6 -0.20143011D+05    1.4224744    0.0000706   1560.750  1003.067    FS
1151.512  1284.670
7 -0.20142956D+05    0.0550399    0.0000027   1559.005  1005.329    FS
1144.080  1291.585
8 -0.20142956D+05    0.0001216    0.0000000   1559.187  1005.113    FS
1144.916  1290.783

TECHNICAL 9 OUTPUT

Error messages for each replication (if any)

SAVEDATA INFORMATION

Order of variables

U11
U12
U13
U21
U22
U23
C1
C2

Save file
ex7.18.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

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