Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022 11:13 PM
INPUT INSTRUCTIONS
TITLE: this is an example of mixture randomized
trials modeling using CACE estimation with
missing data on the latent class indicator
DATA: FILE IS ex7.24.dat;
VARIABLE: NAMES ARE u y x1 x2 c;
USEVARIABLES ARE u-x2;
CLASSES = c (2);
CATEGORICAL = u;
MISSING = u (999);
ANALYSIS: TYPE = MIXTURE;
MODEL:
%OVERALL%
y ON x1 x2;
c ON x1;
%c#1%
[u$1@15];
[y];
y;
y ON x2@0;
%c#2%
[u$1@-15];
[y*.5];
y;
OUTPUT: TECH1 TECH8;
INPUT READING TERMINATED NORMALLY
this is an example of mixture randomized
trials modeling using CACE estimation with
missing data on the latent class indicator
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 500
Number of dependent variables 2
Number of independent variables 2
Number of continuous latent variables 0
Number of categorical latent variables 1
Observed dependent variables
Continuous
Y
Binary and ordered categorical (ordinal)
U
Observed independent variables
X1 X2
Categorical latent variables
C
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
Maximum number of iterations for H1 2000
Convergence criterion for H1 0.100D-03
Optimization algorithm EMA
Random Starts Specifications
Number of initial stage random starts 20
Number of final stage optimizations 4
Number of initial stage iterations 10
Initial stage convergence criterion 0.100D+01
Random starts scale 0.500D+01
Random seed for generating random starts 0
Link LOGIT
Input data file(s)
ex7.24.dat
Input data format FREE
SUMMARY OF DATA
Number of missing data patterns 2
Number of y missing data patterns 1
Number of u missing data patterns 2
COVARIANCE COVERAGE OF DATA
Minimum covariance coverage value 0.100
PROPORTION OF DATA PRESENT
Covariance Coverage
U Y X1 X2
________ ________ ________ ________
U 0.494
Y 0.494 1.000
X1 0.494 1.000 1.000
X2 0.494 1.000 1.000 1.000
PROPORTION OF DATA PRESENT FOR U
Covariance Coverage
U
________
U 0.494
PROPORTION OF DATA PRESENT FOR Y
Covariance Coverage
Y X1 X2
________ ________ ________
Y 1.000
X1 1.000 1.000
X2 1.000 1.000 1.000
UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES
U
Category 1 0.437 108.000
Category 2 0.563 139.000
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
Y 2.519 -0.076 -3.055 0.20% 0.706 2.012 2.554
500.000 4.592 -0.284 8.649 0.20% 3.012 4.515
X1 -0.061 -0.047 -2.629 0.20% -0.964 -0.303 -0.047
500.000 1.039 -0.378 2.914 0.20% 0.239 0.828
X2 0.494 0.024 0.000 50.60% 0.000 0.000 0.000
500.000 0.250 -1.999 1.000 49.40% 1.000 1.000
RANDOM STARTS RESULTS RANKED FROM THE BEST TO THE WORST LOGLIKELIHOOD VALUES
Final stage loglikelihood values at local maxima, seeds, and initial stage start numbers:
-920.329 608496 4
-920.329 939021 8
-920.329 903420 5
-920.329 93468 3
THE BEST LOGLIKELIHOOD VALUE HAS BEEN REPLICATED. RERUN WITH AT LEAST TWICE THE
RANDOM STARTS TO CHECK THAT THE BEST LOGLIKELIHOOD IS STILL OBTAINED AND REPLICATED.
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 8
Loglikelihood
H0 Value -920.329
H0 Scaling Correction Factor 0.9713
for MLR
Information Criteria
Akaike (AIC) 1856.658
Bayesian (BIC) 1890.375
Sample-Size Adjusted BIC 1864.983
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit for the Binary and Ordered Categorical
(Ordinal) Outcomes
Pearson Chi-Square
Value 0.557
Degrees of Freedom 0
P-Value 0.0000
Likelihood Ratio Chi-Square
Value 0.558
Degrees of Freedom 0
P-Value 0.0000
Chi-Square Test for MCAR under the Unrestricted Latent Class Indicator Model
Pearson Chi-Square
Value 0.000
Degrees of Freedom 0
P-Value 1.0000
Likelihood Ratio Chi-Square
Value 0.000
Degrees of Freedom 0
P-Value 1.0000
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THE ESTIMATED MODEL
Latent
Classes
1 230.45419 0.46091
2 269.54581 0.53909
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent
Classes
1 230.45425 0.46091
2 269.54575 0.53909
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP
Class Counts and Proportions
Latent
Classes
1 228 0.45600
2 272 0.54400
CLASSIFICATION QUALITY
Entropy 0.658
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2
1 0.881 0.119
2 0.109 0.891
Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 0.872 0.128
2 0.101 0.899
Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 1.916 0.000
2 -2.190 0.000
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Latent Class 1
Y ON
X1 1.960 0.068 28.712 0.000
X2 0.000 0.000 999.000 999.000
Intercepts
Y 2.123 0.117 18.131 0.000
Thresholds
U$1 15.000 0.000 999.000 999.000
Residual Variances
Y 1.957 0.187 10.461 0.000
Latent Class 2
Y ON
X1 1.960 0.068 28.712 0.000
X2 0.628 0.150 4.177 0.000
Intercepts
Y 2.756 0.141 19.584 0.000
Thresholds
U$1 -15.000 0.000 999.000 999.000
Residual Variances
Y 0.975 0.087 11.170 0.000
Categorical Latent Variables
C#1 ON
X1 1.541 0.205 7.503 0.000
Intercepts
C#1 -0.147 0.151 -0.974 0.330
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.285E-01
(ratio of smallest to largest eigenvalue)
RESULTS IN PROBABILITY SCALE
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Latent Class 1
U
Category 1 1.000 0.000 0.000 1.000
Category 2 0.000 0.000 0.000 1.000
Latent Class 2
U
Category 1 0.000 0.000 0.000 1.000
Category 2 1.000 0.000 0.000 1.000
LATENT CLASS INDICATOR ODDS RATIOS FOR THE LATENT CLASSES
95% C.I.
Estimate S.E. Lower 2.5% Upper 2.5%
Latent Class 1 Compared to Latent Class 2
U
Category > 1 0.000 0.000 0.000 0.000
LOGISTIC REGRESSION ODDS RATIO RESULTS
95% C.I.
Estimate S.E. Lower 2.5% Upper 2.5%
Categorical Latent Variables
C#1 ON
X1 4.670 0.959 3.122 6.985
ALTERNATIVE PARAMETERIZATIONS FOR THE CATEGORICAL LATENT VARIABLE REGRESSION
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Parameterization using Reference Class 1
C#2 ON
X1 -1.541 0.205 -7.503 0.000
Intercepts
C#2 0.147 0.151 0.974 0.330
ODDS RATIO FOR THE ALTERNATIVE PARAMETERIZATIONS FOR THE CATEGORICAL LATENT VARIABLE REGRESSION
95% C.I.
Estimate S.E. Lower 2.5% Upper 2.5%
Parameterization using Reference Class 1
C#2 ON
X1 0.214 0.044 0.143 0.320
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION FOR LATENT CLASS 1
NU
Y X1 X2
________ ________ ________
0 0 0
LAMBDA
Y X1 X2
________ ________ ________
Y 0 0 0
X1 0 0 0
X2 0 0 0
THETA
Y X1 X2
________ ________ ________
Y 0
X1 0 0
X2 0 0 0
ALPHA
Y X1 X2
________ ________ ________
1 0 0
BETA
Y X1 X2
________ ________ ________
Y 0 2 0
X1 0 0 0
X2 0 0 0
PSI
Y X1 X2
________ ________ ________
Y 3
X1 0 0
X2 0 0 0
PARAMETER SPECIFICATION FOR LATENT CLASS 2
NU
Y X1 X2
________ ________ ________
0 0 0
LAMBDA
Y X1 X2
________ ________ ________
Y 0 0 0
X1 0 0 0
X2 0 0 0
THETA
Y X1 X2
________ ________ ________
Y 0
X1 0 0
X2 0 0 0
ALPHA
Y X1 X2
________ ________ ________
4 0 0
BETA
Y X1 X2
________ ________ ________
Y 0 2 5
X1 0 0 0
X2 0 0 0
PSI
Y X1 X2
________ ________ ________
Y 6
X1 0 0
X2 0 0 0
PARAMETER SPECIFICATION FOR LATENT CLASS INDICATOR MODEL PART
TAU(U) FOR LATENT CLASS 1
U$1
________
0
TAU(U) FOR LATENT CLASS 2
U$1
________
0
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2
________ ________
7 0
GAMMA(C)
X1 X2
________ ________
C#1 8 0
C#2 0 0
STARTING VALUES FOR LATENT CLASS 1
NU
Y X1 X2
________ ________ ________
0.000 0.000 0.000
LAMBDA
Y X1 X2
________ ________ ________
Y 1.000 0.000 0.000
X1 0.000 1.000 0.000
X2 0.000 0.000 1.000
THETA
Y X1 X2
________ ________ ________
Y 0.000
X1 0.000 0.000
X2 0.000 0.000 0.000
ALPHA
Y X1 X2
________ ________ ________
0.376 0.000 0.000
BETA
Y X1 X2
________ ________ ________
Y 0.000 0.000 0.000
X1 0.000 0.000 0.000
X2 0.000 0.000 0.000
PSI
Y X1 X2
________ ________ ________
Y 2.296
X1 0.000 0.520
X2 0.000 0.000 0.125
STARTING VALUES FOR LATENT CLASS 2
NU
Y X1 X2
________ ________ ________
0.000 0.000 0.000
LAMBDA
Y X1 X2
________ ________ ________
Y 1.000 0.000 0.000
X1 0.000 1.000 0.000
X2 0.000 0.000 1.000
THETA
Y X1 X2
________ ________ ________
Y 0.000
X1 0.000 0.000
X2 0.000 0.000 0.000
ALPHA
Y X1 X2
________ ________ ________
0.500 0.000 0.000
BETA
Y X1 X2
________ ________ ________
Y 0.000 0.000 0.000
X1 0.000 0.000 0.000
X2 0.000 0.000 0.000
PSI
Y X1 X2
________ ________ ________
Y 2.296
X1 0.000 0.520
X2 0.000 0.000 0.125
STARTING VALUES FOR LATENT CLASS INDICATOR MODEL PART
TAU(U) FOR LATENT CLASS 1
U$1
________
15.000
TAU(U) FOR LATENT CLASS 2
U$1
________
-15.000
STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2
________ ________
0.000 0.000
GAMMA(C)
X1 X2
________ ________
C#1 0.000 0.000
C#2 0.000 0.000
TECHNICAL 8 OUTPUT
INITIAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.18117641D+04 0.0000000 0.0000000 EM
2 -0.94431132D+03 867.4527416 0.4787890 EM
3 -0.92990155D+03 14.4097758 0.0152596 EM
4 -0.92402218D+03 5.8793662 0.0063226 EM
5 -0.92175251D+03 2.2696720 0.0024563 EM
6 -0.92088265D+03 0.8698597 0.0009437 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.49364830D+04 0.0000000 0.0000000 EM
2 -0.99059598D+03 3945.8870438 0.7993316 EM
3 -0.94549139D+03 45.1045875 0.0455328 EM
4 -0.93116719D+03 14.3242026 0.0151500 EM
5 -0.92486209D+03 6.3051032 0.0067712 EM
6 -0.92218976D+03 2.6723232 0.0028894 EM
7 -0.92108781D+03 1.1019504 0.0011949 EM
8 -0.92063771D+03 0.4501057 0.0004887 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.55213266D+04 0.0000000 0.0000000 EM
2 -0.96807607D+03 4553.2505466 0.8246660 EM
3 -0.93470659D+03 33.3694790 0.0344699 EM
4 -0.92573624D+03 8.9703535 0.0095970 EM
5 -0.92241290D+03 3.3233385 0.0035899 EM
6 -0.92114393D+03 1.2689699 0.0013757 EM
7 -0.92065219D+03 0.4917436 0.0005338 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.23559220D+04 0.0000000 0.0000000 EM
2 -0.96450662D+03 1391.4153864 0.5906033 EM
3 -0.93499409D+03 29.5125305 0.0305986 EM
4 -0.92548421D+03 9.5098805 0.0101711 EM
5 -0.92208708D+03 3.3971257 0.0036706 EM
6 -0.92090522D+03 1.1818636 0.0012817 EM
7 -0.92051421D+03 0.3910136 0.0004246 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.23302159D+04 0.0000000 0.0000000 EM
2 -0.96733630D+03 1362.8795684 0.5848727 EM
3 -0.93528273D+03 32.0535735 0.0331359 EM
4 -0.92539741D+03 9.8853258 0.0105693 EM
5 -0.92196600D+03 3.4314013 0.0037080 EM
6 -0.92082537D+03 1.1406337 0.0012372 EM
7 -0.92047316D+03 0.3522090 0.0003825 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.34590119D+04 0.0000000 0.0000000 EM
2 -0.96481398D+03 2494.1979406 0.7210724 EM
3 -0.93126787D+03 33.5461125 0.0347695 EM
4 -0.92350657D+03 7.7613022 0.0083341 EM
5 -0.92120575D+03 2.3008146 0.0024914 EM
6 -0.92055680D+03 0.6489509 0.0007045 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.49605714D+04 0.0000000 0.0000000 EM
2 -0.13426806D+04 3617.8908027 0.7293295 EM
3 -0.98000126D+03 362.6793032 0.2701159 EM
4 -0.94025395D+03 39.7473027 0.0405584 EM
5 -0.92778627D+03 12.4676846 0.0132599 EM
6 -0.92310216D+03 4.6841115 0.0050487 EM
7 -0.92134923D+03 1.7529244 0.0018989 EM
8 -0.92070326D+03 0.6459739 0.0007011 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.34904930D+04 0.0000000 0.0000000 EM
2 -0.95962372D+03 2530.8692390 0.7250750 EM
3 -0.92411871D+03 35.5050134 0.0369989 EM
4 -0.92167299D+03 2.4457178 0.0026465 EM
5 -0.92082379D+03 0.8491987 0.0009214 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.28039026D+04 0.0000000 0.0000000 EM
2 -0.96639372D+03 1837.5088415 0.6553398 EM
3 -0.93387491D+03 32.5188004 0.0336496 EM
4 -0.92526697D+03 8.6079444 0.0092174 EM
5 -0.92214005D+03 3.1269235 0.0033795 EM
6 -0.92098487D+03 1.1551819 0.0012527 EM
7 -0.92056642D+03 0.4184456 0.0004543 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.64803436D+04 0.0000000 0.0000000 EM
2 -0.97028623D+03 5510.0573346 0.8502724 EM
3 -0.93570779D+03 34.5784326 0.0356374 EM
4 -0.92618189D+03 9.5259041 0.0101804 EM
5 -0.92259429D+03 3.5875992 0.0038735 EM
6 -0.92121182D+03 1.3824752 0.0014985 EM
7 -0.92067602D+03 0.5357988 0.0005816 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.28797241D+04 0.0000000 0.0000000 EM
2 -0.13437391D+04 1535.9849889 0.5333792 EM
3 -0.99460335D+03 349.1357781 0.2598241 EM
4 -0.96870081D+03 25.9025393 0.0260431 EM
5 -0.95381606D+03 14.8847488 0.0153657 EM
6 -0.94304583D+03 10.7702262 0.0112917 EM
7 -0.93493727D+03 8.1085625 0.0085983 EM
8 -0.92882009D+03 6.1171853 0.0065429 EM
9 -0.92465505D+03 4.1650395 0.0044842 EM
10 -0.92231244D+03 2.3426018 0.0025335 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 11
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.40184056D+04 0.0000000 0.0000000 EM
2 -0.15278834D+04 2490.5221902 0.6197787 EM
3 -0.96947043D+03 558.4129456 0.3654814 EM
4 -0.93511578D+03 34.3546524 0.0354365 EM
5 -0.92589014D+03 9.2256408 0.0098658 EM
6 -0.92245603D+03 3.4341094 0.0037090 EM
7 -0.92114454D+03 1.3114856 0.0014217 EM
8 -0.92064372D+03 0.5008221 0.0005437 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.32670711D+04 0.0000000 0.0000000 EM
2 -0.24944601D+04 772.6109793 0.2364843 EM
3 -0.14792911D+04 1015.1689767 0.4069694 EM
4 -0.10391978D+04 440.0932838 0.2975028 EM
5 -0.10047963D+04 34.4015589 0.0331040 EM
6 -0.98856321D+03 16.2330445 0.0161556 EM
7 -0.97298225D+03 15.5809580 0.0157612 EM
8 -0.95905739D+03 13.9248599 0.0143115 EM
9 -0.94773319D+03 11.3242011 0.0118076 EM
10 -0.93888365D+03 8.8495450 0.0093376 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.31150712D+04 0.0000000 0.0000000 EM
2 -0.97184587D+03 2143.2253474 0.6880181 EM
3 -0.93440186D+03 37.4440122 0.0385288 EM
4 -0.92743392D+03 6.9679407 0.0074571 EM
5 -0.92360703D+03 3.8268890 0.0041263 EM
6 -0.92173307D+03 1.8739592 0.0020290 EM
7 -0.92090920D+03 0.8238679 0.0008938 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.48935229D+04 0.0000000 0.0000000 EM
2 -0.93603522D+03 3957.4876752 0.8087196 EM
3 -0.92276378D+03 13.2714408 0.0141784 EM
4 -0.92105352D+03 1.7102543 0.0018534 EM
5 -0.92056701D+03 0.4865121 0.0005282 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 15
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.25581119D+04 0.0000000 0.0000000 EM
2 -0.95494127D+03 1603.1706597 0.6267007 EM
3 -0.93010157D+03 24.8396927 0.0260117 EM
4 -0.92383077D+03 6.2708010 0.0067421 EM
5 -0.92163227D+03 2.1984973 0.0023798 EM
6 -0.92082735D+03 0.8049217 0.0008734 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.45520951D+04 0.0000000 0.0000000 EM
2 -0.14336295D+04 3118.4655436 0.6850616 EM
3 -0.97971035D+03 453.9191976 0.3166224 EM
4 -0.94025364D+03 39.4567133 0.0402739 EM
5 -0.92807218D+03 12.1814600 0.0129555 EM
6 -0.92327866D+03 4.7935149 0.0051650 EM
7 -0.92142212D+03 1.8565476 0.0020108 EM
8 -0.92072976D+03 0.6923520 0.0007514 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.29961519D+04 0.0000000 0.0000000 EM
2 -0.10025566D+04 1993.5952431 0.6653852 EM
3 -0.97063823D+03 31.9184105 0.0318370 EM
4 -0.95620913D+03 14.4291032 0.0148656 EM
5 -0.94546433D+03 10.7448040 0.0112369 EM
6 -0.93710837D+03 8.3559519 0.0088379 EM
7 -0.93057031D+03 6.5380670 0.0069769 EM
8 -0.92582053D+03 4.7497728 0.0051042 EM
9 -0.92293755D+03 2.8829838 0.0031140 EM
10 -0.92148180D+03 1.4557459 0.0015773 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 18
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.30727134D+04 0.0000000 0.0000000 EM
2 -0.96529662D+03 2107.4167440 0.6858488 EM
3 -0.93766588D+03 27.6307400 0.0286241 EM
4 -0.92795054D+03 9.7153414 0.0103612 EM
5 -0.92359990D+03 4.3506440 0.0046884 EM
6 -0.92171327D+03 1.8866305 0.0020427 EM
7 -0.92091387D+03 0.7993998 0.0008673 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 19
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.36602246D+04 0.0000000 0.0000000 EM
2 -0.98852155D+03 2671.7030270 0.7299287 EM
3 -0.94204139D+03 46.4801659 0.0470199 EM
4 -0.92868576D+03 13.3556274 0.0141773 EM
5 -0.92349481D+03 5.1909485 0.0055896 EM
6 -0.92150073D+03 1.9940764 0.0021593 EM
7 -0.92075863D+03 0.7420993 0.0008053 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.49565761D+04 0.0000000 0.0000000 EM
2 -0.12308156D+04 3725.7604924 0.7516803 EM
3 -0.95052062D+03 280.2950063 0.2277311 EM
4 -0.92944571D+03 21.0749125 0.0221720 EM
5 -0.92378804D+03 5.6576657 0.0060871 EM
6 -0.92162270D+03 2.1653454 0.0023440 EM
7 -0.92080824D+03 0.8144613 0.0008837 EM
FINAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4
7 -0.92047316D+03 0.3522090 0.0003825 EM
8 -0.92037050D+03 0.1026569 0.0001115 EM
9 -0.92034126D+03 0.0292410 0.0000318 EM
10 -0.92033283D+03 0.0084309 0.0000092 EM
11 -0.92033030D+03 0.0025300 0.0000027 EM
12 -0.92032950D+03 0.0008040 0.0000009 EM
13 -0.92032923D+03 0.0002721 0.0000003 EM
14 -0.92032913D+03 0.0000976 0.0000001 EM
15 -0.92032909D+03 0.0000367 0.0000000 EM
16 -0.92032908D+03 0.0000143 0.0000000 EM
17 -0.92032907D+03 0.0000057 0.0000000 EM
18 -0.92032907D+03 0.0000023 0.0000000 EM
19 -0.92032907D+03 0.0000009 0.0000000 EM
20 -0.92032907D+03 0.0000004 0.0000000 EM
21 -0.92032907D+03 0.0000002 0.0000000 EM
22 -0.92032907D+03 0.0000001 0.0000000 EM
23 -0.92032907D+03 0.0000000 0.0000000 EM
24 -0.92032907D+03 0.0000000 0.0000000 EM
25 -0.92032907D+03 0.0000000 0.0000000 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
7 -0.92051421D+03 0.3910136 0.0004246 EM
8 -0.92038920D+03 0.1250063 0.0001358 EM
9 -0.92034929D+03 0.0399064 0.0000434 EM
10 -0.92033619D+03 0.0131015 0.0000142 EM
11 -0.92033169D+03 0.0044984 0.0000049 EM
12 -0.92033007D+03 0.0016208 0.0000018 EM
13 -0.92032946D+03 0.0006092 0.0000007 EM
14 -0.92032923D+03 0.0002365 0.0000003 EM
15 -0.92032913D+03 0.0000940 0.0000001 EM
16 -0.92032909D+03 0.0000379 0.0000000 EM
17 -0.92032908D+03 0.0000155 0.0000000 EM
18 -0.92032907D+03 0.0000063 0.0000000 EM
19 -0.92032907D+03 0.0000026 0.0000000 EM
20 -0.92032907D+03 0.0000011 0.0000000 EM
21 -0.92032907D+03 0.0000004 0.0000000 EM
22 -0.92032907D+03 0.0000002 0.0000000 EM
23 -0.92032907D+03 0.0000001 0.0000000 EM
24 -0.92032907D+03 0.0000000 0.0000000 EM
25 -0.92032907D+03 0.0000000 0.0000000 EM
26 -0.92032907D+03 0.0000000 0.0000000 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5
6 -0.92055680D+03 0.6489509 0.0007045 EM
7 -0.92038612D+03 0.1706784 0.0001854 EM
8 -0.92034329D+03 0.0428339 0.0000465 EM
9 -0.92033270D+03 0.0105855 0.0000115 EM
10 -0.92033005D+03 0.0026542 0.0000029 EM
11 -0.92032935D+03 0.0006946 0.0000008 EM
12 -0.92032916D+03 0.0001946 0.0000002 EM
13 -0.92032910D+03 0.0000594 0.0000001 EM
14 -0.92032908D+03 0.0000198 0.0000000 EM
15 -0.92032907D+03 0.0000071 0.0000000 EM
16 -0.92032907D+03 0.0000027 0.0000000 EM
17 -0.92032907D+03 0.0000011 0.0000000 EM
18 -0.92032907D+03 0.0000004 0.0000000 EM
19 -0.92032907D+03 0.0000002 0.0000000 EM
20 -0.92032907D+03 0.0000001 0.0000000 EM
21 -0.92032907D+03 0.0000000 0.0000000 EM
22 -0.92032907D+03 0.0000000 0.0000000 EM
23 -0.92032907D+03 0.0000000 0.0000000 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8
7 -0.92056642D+03 0.4184456 0.0004543 EM
8 -0.92041633D+03 0.1500905 0.0001630 EM
9 -0.92036195D+03 0.0543752 0.0000591 EM
10 -0.92034178D+03 0.0201712 0.0000219 EM
11 -0.92033409D+03 0.0076916 0.0000084 EM
12 -0.92033108D+03 0.0030063 0.0000033 EM
13 -0.92032989D+03 0.0011979 0.0000013 EM
14 -0.92032940D+03 0.0004838 0.0000005 EM
15 -0.92032921D+03 0.0001972 0.0000002 EM
16 -0.92032913D+03 0.0000809 0.0000001 EM
17 -0.92032909D+03 0.0000333 0.0000000 EM
18 -0.92032908D+03 0.0000137 0.0000000 EM
19 -0.92032907D+03 0.0000057 0.0000000 EM
20 -0.92032907D+03 0.0000023 0.0000000 EM
21 -0.92032907D+03 0.0000010 0.0000000 EM
22 -0.92032907D+03 0.0000004 0.0000000 EM
23 -0.92032907D+03 0.0000002 0.0000000 EM
24 -0.92032907D+03 0.0000001 0.0000000 EM
25 -0.92032907D+03 0.0000000 0.0000000 EM
26 -0.92032907D+03 0.0000000 0.0000000 EM
27 -0.92032907D+03 0.0000000 0.0000000 EM
Beginning Time: 23:13:09
Ending Time: 23:13:09
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) 1998-2022 Muthen & Muthen
Back to examples