Mplus VERSION 7
MUTHEN & MUTHEN
09/22/2012 10:57 PM
INPUT INSTRUCTIONS
TITLE: this is an example of mixture modeling
with known classes (multiple group
analysis)
DATA: FILE IS ex7.21.dat;
VARIABLE: NAMES = g y1-y4;
CLASSES = cg (2) c (2);
KNOWNCLASS = cg (g = 0 g = 1);
ANALYSIS: TYPE = MIXTURE;
MODEL:
%OVERALL%
c ON cg;
MODEL c:
%c#1%
[y1-y4];
%c#2%
[y1-y4];
MODEL cg:
%cg#1%
y1-y4;
%cg#2%
y1-y4;
OUTPUT: TECH1 TECH8;
*** WARNING in VARIABLE command
Variable G, used in KNOWNCLASS specification, has been removed from the
USEVARIABLES list. Subsequent errors may occur if this variable is used
elsewhere.
*** WARNING in MODEL command
All variables are uncorrelated with all other variables within class.
Check that this is what is intended.
2 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS
this is an example of mixture modeling
with known classes (multiple group
analysis)
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 1000
Number of dependent variables 4
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
Categorical latent variables
CG C
Knownclass CG
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
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
Parameterization LOGIT
Input data file(s)
ex7.21.dat
Input data format FREE
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:
-6273.830 195873 6
-6273.830 107446 12
-6273.830 93468 3
-6273.830 650371 14
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 19
Loglikelihood
H0 Value -6273.830
H0 Scaling Correction Factor 0.9749
for MLR
Information Criteria
Akaike (AIC) 12585.660
Bayesian (BIC) 12678.907
Sample-Size Adjusted BIC 12618.562
(n* = (n + 2) / 24)
MODEL RESULTS USE THE LATENT CLASS VARIABLE ORDER
CG C
Latent Class Variable Patterns
CG C
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 1 386.99755 0.38700
1 2 126.00245 0.12600
2 1 235.02308 0.23502
2 2 251.97692 0.25198
FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON THE ESTIMATED MODEL
Latent Class
Variable Class
CG 1 513.00000 0.51300
2 487.00000 0.48700
C 1 622.02063 0.62202
2 377.97937 0.37798
LATENT TRANSITION PROBABILITIES BASED ON THE ESTIMATED MODEL
CG Classes (Rows) by C Classes (Columns)
1 2
1 0.754 0.246
2 0.483 0.517
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent Class
Pattern
1 1 386.99756 0.38700
1 2 126.00244 0.12600
2 1 235.02308 0.23502
2 2 251.97692 0.25198
FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent Class
Variable Class
CG 1 513.00000 0.51300
2 487.00000 0.48700
C 1 622.02063 0.62202
2 377.97937 0.37798
CLASSIFICATION QUALITY
Entropy 0.980
CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS PATTERN
Class Counts and Proportions
Latent Class
Pattern
1 1 387 0.38700
1 2 126 0.12600
2 1 235 0.23500
2 2 252 0.25200
Average Latent Class Probabilities for Most Likely Latent Class Pattern (Row)
by Latent Class Pattern (Column)
Latent Class Variable Patterns
Latent Class CG C
Pattern No. Class Class
1 1 1
2 1 2
3 2 1
4 2 2
1 2 3 4
1 0.990 0.010 0.000 0.000
2 0.030 0.970 0.000 0.000
3 0.000 0.000 0.998 0.002
4 0.000 0.000 0.002 0.998
CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP
FOR EACH LATENT CLASS VARIABLE
Latent Class
Variable Class
CG 1 513 0.51300
2 487 0.48700
C 1 622 0.62200
2 378 0.37800
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Latent Class Pattern 1 1
Means
Y1 -0.960 0.036 -26.726 0.000
Y2 -0.957 0.033 -28.712 0.000
Y3 -1.010 0.034 -29.435 0.000
Y4 -1.041 0.034 -30.998 0.000
Variances
Y1 1.021 0.066 15.466 0.000
Y2 0.986 0.065 15.246 0.000
Y3 0.990 0.063 15.824 0.000
Y4 1.001 0.060 16.601 0.000
Latent Class Pattern 1 2
Means
Y1 0.938 0.042 22.595 0.000
Y2 0.905 0.039 23.449 0.000
Y3 0.970 0.041 23.425 0.000
Y4 1.008 0.040 25.270 0.000
Variances
Y1 1.021 0.066 15.466 0.000
Y2 0.986 0.065 15.246 0.000
Y3 0.990 0.063 15.824 0.000
Y4 1.001 0.060 16.601 0.000
Latent Class Pattern 2 1
Means
Y1 -0.960 0.036 -26.726 0.000
Y2 -0.957 0.033 -28.712 0.000
Y3 -1.010 0.034 -29.435 0.000
Y4 -1.041 0.034 -30.998 0.000
Variances
Y1 0.551 0.035 15.642 0.000
Y2 0.447 0.027 16.534 0.000
Y3 0.514 0.031 16.337 0.000
Y4 0.465 0.030 15.428 0.000
Latent Class Pattern 2 2
Means
Y1 0.938 0.042 22.595 0.000
Y2 0.905 0.039 23.449 0.000
Y3 0.970 0.041 23.425 0.000
Y4 1.008 0.040 25.270 0.000
Variances
Y1 0.551 0.035 15.642 0.000
Y2 0.447 0.027 16.534 0.000
Y3 0.514 0.031 16.337 0.000
Y4 0.465 0.030 15.428 0.000
Categorical Latent Variables
C#1 ON
CG#1 1.192 0.140 8.502 0.000
Means
CG#1 0.052 0.063 0.822 0.411
C#1 -0.070 0.091 -0.765 0.444
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.345E-01
(ratio of smallest to largest eigenvalue)
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 1
NU
Y1 Y2 Y3 Y4
________ ________ ________ ________
1 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
________ ________ ________ ________
1 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 1
NU
Y1 Y2 Y3 Y4
________ ________ ________ ________
1 1 2 3 4
THETA
Y1 Y2 Y3 Y4
________ ________ ________ ________
Y1 13
Y2 0 14
Y3 0 0 15
Y4 0 0 0 16
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 2
NU
Y1 Y2 Y3 Y4
________ ________ ________ ________
1 9 10 11 12
THETA
Y1 Y2 Y3 Y4
________ ________ ________ ________
Y1 13
Y2 0 14
Y3 0 0 15
Y4 0 0 0 16
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
CG#1 CG#2 C#1 C#2
________ ________ ________ ________
1 17 0 18 0
BETA(C)
CG#1 CG#2
________ ________
C#1 19 0
C#2 0 0
STARTING VALUES FOR LATENT CLASS PATTERN 1 1
NU
Y1 Y2 Y3 Y4
________ ________ ________ ________
1 -0.878 -0.883 -0.912 -0.909
THETA
Y1 Y2 Y3 Y4
________ ________ ________ ________
Y1 0.815
Y2 0.000 0.772
Y3 0.000 0.000 0.845
Y4 0.000 0.000 0.000 0.853
STARTING VALUES FOR LATENT CLASS PATTERN 1 2
NU
Y1 Y2 Y3 Y4
________ ________ ________ ________
1 0.399 0.360 0.388 0.397
THETA
Y1 Y2 Y3 Y4
________ ________ ________ ________
Y1 0.815
Y2 0.000 0.772
Y3 0.000 0.000 0.845
Y4 0.000 0.000 0.000 0.853
STARTING VALUES FOR LATENT CLASS PATTERN 2 1
NU
Y1 Y2 Y3 Y4
________ ________ ________ ________
1 -0.878 -0.883 -0.912 -0.909
THETA
Y1 Y2 Y3 Y4
________ ________ ________ ________
Y1 0.815
Y2 0.000 0.772
Y3 0.000 0.000 0.845
Y4 0.000 0.000 0.000 0.853
STARTING VALUES FOR LATENT CLASS PATTERN 2 2
NU
Y1 Y2 Y3 Y4
________ ________ ________ ________
1 0.399 0.360 0.388 0.397
THETA
Y1 Y2 Y3 Y4
________ ________ ________ ________
Y1 0.815
Y2 0.000 0.772
Y3 0.000 0.000 0.845
Y4 0.000 0.000 0.000 0.853
STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
CG#1 CG#2 C#1 C#2
________ ________ ________ ________
1 0.000 0.000 0.000 0.000
BETA(C)
CG#1 CG#2
________ ________
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
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.67357914D+04 0.0000000 0.0000000 352.817 160.183 EM
224.308 262.692
2 -0.63000716D+04 435.7197343 0.0646872 380.188 132.812 EM
233.821 253.179
3 -0.62745679D+04 25.5037534 0.0040482 385.837 127.163 EM
234.852 252.148
4 -0.62738481D+04 0.7197544 0.0001147 386.807 126.193 EM
234.995 252.005
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.12548865D+05 0.0000000 0.0000000 209.952 303.048 EM
200.078 286.922
2 -0.67431597D+04 5805.7055959 0.4626479 313.413 199.587 EM
216.320 270.680
3 -0.63746518D+04 368.5078575 0.0546491 370.546 142.454 EM
231.987 255.013
4 -0.62788390D+04 95.8128115 0.0150303 384.265 128.735 EM
234.638 252.362
5 -0.62739427D+04 4.8963049 0.0007798 386.552 126.448 EM
234.960 252.040
6 -0.62738324D+04 0.1102352 0.0000176 386.927 126.073 EM
235.012 251.988
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.21564806D+05 0.0000000 0.0000000 22.916 490.084 EM
4.303 482.697
2 -0.73661479D+04 ************ 0.6584181 50.896 462.104 EM
30.421 456.579
3 -0.72732945D+04 92.8533414 0.0126054 90.946 422.054 EM
46.723 440.277
4 -0.71799835D+04 93.3110823 0.0128293 164.589 348.411 EM
74.121 412.879
5 -0.70357337D+04 144.2497891 0.0200905 241.501 271.499 EM
126.374 360.626
6 -0.67857832D+04 249.9504536 0.0355259 312.379 200.621 EM
191.885 295.115
7 -0.64394055D+04 346.3777475 0.0510446 363.767 149.233 EM
228.469 258.531
8 -0.62843432D+04 155.0622827 0.0240802 382.722 130.278 EM
234.341 252.659
9 -0.62741048D+04 10.2384003 0.0016292 386.278 126.722 EM
234.919 252.081
10 -0.62738367D+04 0.2680468 0.0000427 386.880 126.120 EM
235.006 251.994
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.18778424D+05 0.0000000 0.0000000 195.428 317.572 EM
201.132 285.868
2 -0.74222706D+04 ************ 0.6047447 203.980 309.020 EM
180.405 306.595
3 -0.73088940D+04 113.3765765 0.0152752 232.253 280.747 EM
164.716 322.284
4 -0.70863685D+04 222.5254822 0.0304458 290.302 222.698 EM
173.316 313.684
5 -0.66490458D+04 437.3227560 0.0617132 347.002 165.998 EM
216.455 270.545
6 -0.63228188D+04 326.2269693 0.0490637 377.752 135.248 EM
233.146 253.854
7 -0.62752519D+04 47.5668939 0.0075231 385.433 127.567 EM
234.784 252.216
8 -0.62738638D+04 1.3881206 0.0002212 386.740 126.260 EM
234.984 252.016
9 -0.62738307D+04 0.0330339 0.0000053 386.956 126.044 EM
235.017 251.983
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.18057161D+05 0.0000000 0.0000000 447.671 65.329 EM
479.184 7.816
2 -0.73345795D+04 ************ 0.5938132 436.084 76.916 EM
480.058 6.942
3 -0.72676407D+04 66.9387932 0.0091265 392.280 120.720 EM
475.040 11.960
4 -0.71975555D+04 70.0852455 0.0096435 331.615 181.385 EM
458.573 28.427
5 -0.71013858D+04 96.1697168 0.0133614 273.667 239.333 EM
413.064 73.936
6 -0.69264695D+04 174.9163303 0.0246313 218.791 294.209 EM
336.419 150.581
7 -0.66165208D+04 309.9486183 0.0447484 167.239 345.761 EM
273.028 213.972
8 -0.63252021D+04 291.3187265 0.0440290 135.873 377.127 EM
254.041 232.959
9 -0.62754338D+04 49.7682640 0.0078682 127.689 385.311 EM
252.232 234.768
10 -0.62738694D+04 1.5644823 0.0002493 126.281 386.719 EM
252.018 234.982
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.12836572D+05 0.0000000 0.0000000 81.008 431.992 EM
9.360 477.640
2 -0.73448706D+04 5491.7011424 0.4278168 86.800 426.200 EM
7.614 479.386
3 -0.72634102D+04 81.4603852 0.0110908 130.664 382.336 EM
12.662 474.338
4 -0.71894162D+04 73.9940352 0.0101872 189.846 323.154 EM
29.479 457.521
5 -0.70913923D+04 98.0238984 0.0136345 245.677 267.323 EM
77.519 409.481
6 -0.69092893D+04 182.1029213 0.0256794 299.029 213.971 EM
155.638 331.362
7 -0.65912402D+04 318.0491675 0.0460321 349.142 163.858 EM
216.504 270.496
8 -0.63158036D+04 275.4366006 0.0417883 378.285 134.715 EM
233.255 253.745
9 -0.62750618D+04 40.7417651 0.0064508 385.518 127.482 EM
234.799 252.201
10 -0.62738600D+04 1.2018032 0.0001915 386.754 126.246 EM
234.987 252.013
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.21973429D+05 0.0000000 0.0000000 271.187 241.813 EM
189.071 297.929
2 -0.65937791D+04 ************ 0.6999203 342.971 170.029 EM
221.809 265.191
3 -0.63224374D+04 271.3416710 0.0411512 378.435 134.565 EM
233.455 253.545
4 -0.62752770D+04 47.1604275 0.0074592 385.654 127.346 EM
234.798 252.202
5 -0.62738567D+04 1.4202946 0.0002263 386.786 126.214 EM
234.987 252.013
6 -0.62738305D+04 0.0262676 0.0000042 386.964 126.036 EM
235.017 251.983
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.26193538D+05 0.0000000 0.0000000 456.286 56.714 EM
392.259 94.741
2 -0.78036946D+04 ************ 0.7020756 512.992 0.008 EM
486.971 0.029
3 -0.73511826D+04 452.5119480 0.0579869 512.964 0.036 EM
486.787 0.213
4 -0.73497930D+04 1.3896277 0.0001890 512.846 0.154 EM
485.337 1.663
5 -0.73402206D+04 9.5723481 0.0013024 512.360 0.640 EM
475.932 11.068
6 -0.72942223D+04 45.9983630 0.0062666 510.497 2.503 EM
439.135 47.865
7 -0.71588589D+04 135.3633725 0.0185576 503.588 9.412 EM
360.427 126.573
8 -0.68038985D+04 354.9604267 0.0495834 453.084 59.916 EM
261.219 225.781
9 -0.63866582D+04 417.2402993 0.0613237 407.769 105.231 EM
237.450 249.550
10 -0.62794017D+04 107.2565126 0.0167938 389.972 123.028 EM
235.452 251.548
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.15047603D+05 0.0000000 0.0000000 478.633 34.367 EM
415.145 71.855
2 -0.70235410D+04 8024.0620118 0.5332452 457.227 55.773 EM
324.609 162.391
3 -0.65952050D+04 428.3359933 0.0609858 421.837 91.163 EM
247.082 239.918
4 -0.63020802D+04 293.1248119 0.0444451 394.695 118.305 EM
236.032 250.968
5 -0.62746056D+04 27.4746227 0.0043596 388.169 124.831 EM
235.199 251.801
6 -0.62738493D+04 0.7563477 0.0001205 387.189 125.811 EM
235.052 251.948
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.23586943D+05 0.0000000 0.0000000 388.050 124.950 EM
287.406 199.594
2 -0.64411112D+04 ************ 0.7269205 395.125 117.875 EM
238.956 248.044
3 -0.62772041D+04 163.9070462 0.0254470 388.771 124.229 EM
235.288 251.712
4 -0.62738852D+04 3.3189184 0.0005287 387.283 125.717 EM
235.066 251.934
5 -0.62738311D+04 0.0540888 0.0000086 387.044 125.956 EM
235.030 251.970
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.12923978D+05 0.0000000 0.0000000 511.034 1.966 EM
486.335 0.665
2 -0.73078210D+04 5616.1571424 0.4345533 502.864 10.136 EM
440.736 46.264
3 -0.71415264D+04 166.2946143 0.0227557 486.601 26.399 EM
361.165 125.835
4 -0.67723948D+04 369.1315158 0.0516880 444.862 68.138 EM
260.380 226.620
5 -0.63661598D+04 406.2350346 0.0599840 403.977 109.023 EM
237.198 249.802
6 -0.62776707D+04 88.4890896 0.0138999 389.549 123.451 EM
235.388 251.612
7 -0.62739237D+04 3.7470123 0.0005969 387.415 125.585 EM
235.084 251.916
8 -0.62738324D+04 0.0913380 0.0000146 387.067 125.933 EM
235.033 251.967
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 11
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.25256180D+05 0.0000000 0.0000000 343.060 169.940 EM
221.259 265.741
2 -0.63806477D+04 ************ 0.7473629 372.498 140.502 EM
233.172 253.828
3 -0.62786269D+04 102.0207872 0.0159891 384.512 128.488 EM
234.656 252.344
4 -0.62739441D+04 4.6828563 0.0007458 386.580 126.420 EM
234.957 252.043
5 -0.62738325D+04 0.1115720 0.0000178 386.930 126.070 EM
235.012 251.988
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.14459197D+05 0.0000000 0.0000000 409.370 103.630 EM
250.508 236.492
2 -0.63348506D+04 8124.3466861 0.5618809 393.800 119.200 EM
236.727 250.273
3 -0.62756768D+04 59.1738617 0.0093410 388.170 124.830 EM
235.284 251.716
4 -0.62738697D+04 1.8070400 0.0002879 387.195 125.805 EM
235.063 251.937
5 -0.62738308D+04 0.0389486 0.0000062 387.031 125.969 EM
235.029 251.971
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.22450393D+05 0.0000000 0.0000000 269.879 243.121 EM
410.967 76.033
2 -0.70550587D+04 ************ 0.6857490 231.772 281.228 EM
358.038 128.962
3 -0.67448493D+04 310.2093844 0.0439698 182.799 330.201 EM
287.330 199.670
4 -0.63925079D+04 352.3414257 0.0522386 142.554 370.446 EM
256.182 230.818
5 -0.62789320D+04 113.5759167 0.0177670 128.956 384.044 EM
252.443 234.557
6 -0.62739592D+04 4.9727978 0.0007920 126.503 386.497 EM
252.050 234.950
7 -0.62738333D+04 0.1258866 0.0000201 126.085 386.915 EM
251.989 235.011
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.30593750D+05 0.0000000 0.0000000 437.083 75.917 EM
324.112 162.888
2 -0.67155835D+04 ************ 0.7804917 420.344 92.656 EM
253.347 233.653
3 -0.63198240D+04 395.7595182 0.0589315 396.388 116.612 EM
236.422 250.578
4 -0.62752037D+04 44.6202931 0.0070604 388.500 124.500 EM
235.260 251.740
5 -0.62738657D+04 1.3379823 0.0002132 387.247 125.753 EM
235.062 251.938
6 -0.62738308D+04 0.0348886 0.0000056 387.039 125.961 EM
235.030 251.970
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 15
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.18413239D+05 0.0000000 0.0000000 416.434 96.566 EM
278.581 208.419
2 -0.64838308D+04 ************ 0.6478712 401.148 111.852 EM
239.689 247.311
3 -0.62810582D+04 202.7726938 0.0312736 389.692 123.308 EM
235.360 251.640
4 -0.62739383D+04 7.1198666 0.0011335 387.396 125.604 EM
235.080 251.920
5 -0.62738321D+04 0.1061926 0.0000169 387.061 125.939 EM
235.032 251.968
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.23043263D+05 0.0000000 0.0000000 273.512 239.488 EM
302.839 184.161
2 -0.77419928D+04 ************ 0.6640236 484.411 28.589 EM
362.763 124.237
3 -0.74264878D+04 315.5050259 0.0407524 473.219 39.781 EM
374.428 112.572
4 -0.73187169D+04 107.7708854 0.0145117 449.957 63.043 EM
377.242 109.758
5 -0.72122833D+04 106.4336349 0.0145427 385.402 127.598 EM
360.353 126.647
6 -0.70046387D+04 207.6445839 0.0287904 279.902 233.098 EM
321.281 165.719
7 -0.66838846D+04 320.7540887 0.0457917 189.678 323.322 EM
274.869 212.131
8 -0.63602859D+04 323.5987574 0.0484148 141.152 371.848 EM
254.902 232.098
9 -0.62776847D+04 82.6011396 0.0129870 128.591 384.409 EM
252.351 234.649
10 -0.62739266D+04 3.7581594 0.0005987 126.434 386.566 EM
252.039 234.961
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.22149647D+05 0.0000000 0.0000000 26.127 486.873 EM
1.711 485.289
2 -0.73646246D+04 ************ 0.6675060 0.000 513.000 EM
26.035 460.965
3 -0.72738812D+04 90.7434788 0.0123215 0.000 513.000 EM
79.346 407.654
4 -0.70204666D+04 253.4145443 0.0348390 0.000 513.000 EM
198.192 288.808
5 -0.67246431D+04 295.8235184 0.0421373 0.000 513.000 EM
243.535 243.465
6 -0.66371014D+04 87.5416819 0.0130180 0.000 513.000 EM
250.153 236.847
7 -0.66352826D+04 1.8187801 0.0002740 0.000 513.000 EM
250.577 236.423
8 -0.66352758D+04 0.0068675 0.0000010 0.000 513.000 EM
250.610 236.390
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 18
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.11840516D+05 0.0000000 0.0000000 509.642 3.358 EM
484.599 2.401
2 -0.73431549D+04 4497.3615833 0.3798282 507.384 5.616 EM
479.454 7.546
3 -0.73020614D+04 41.0935110 0.0055962 499.487 13.513 EM
450.716 36.284
4 -0.71706108D+04 131.4505058 0.0180018 483.508 29.492 EM
377.599 109.401
5 -0.68120818D+04 358.5290005 0.0499998 446.672 66.328 EM
263.482 223.518
6 -0.63793505D+04 432.7313368 0.0635241 405.454 107.546 EM
237.538 249.462
7 -0.62784109D+04 100.9395987 0.0158229 389.771 123.229 EM
235.425 251.575
8 -0.62739412D+04 4.4697573 0.0007119 387.451 125.549 EM
235.090 251.910
9 -0.62738328D+04 0.1083370 0.0000173 387.073 125.927 EM
235.034 251.966
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 19
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.18085254D+05 0.0000000 0.0000000 300.096 212.904 EM
438.412 48.588
2 -0.71749971D+04 ************ 0.6032681 268.388 244.612 EM
405.818 81.182
3 -0.69536818D+04 221.3153407 0.0308454 220.682 292.318 EM
336.269 150.731
4 -0.66350232D+04 318.6585485 0.0458259 169.136 343.864 EM
273.387 213.613
5 -0.63306505D+04 304.3726733 0.0458736 136.325 376.675 EM
254.115 232.885
6 -0.62756247D+04 55.0258057 0.0086920 127.744 385.256 EM
252.252 234.748
7 -0.62738728D+04 1.7518937 0.0002792 126.289 386.711 EM
252.021 234.979
8 -0.62738310D+04 0.0418837 0.0000067 126.049 386.951 EM
251.984 235.016
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.22424613D+05 0.0000000 0.0000000 279.975 233.025 EM
278.966 208.034
2 -0.70989712D+04 ************ 0.6834295 440.590 72.410 EM
227.239 259.761
3 -0.64327109D+04 666.2602635 0.0938531 398.776 114.224 EM
235.093 251.907
4 -0.62771146D+04 155.5963635 0.0241883 388.921 124.079 EM
235.213 251.787
5 -0.62738963D+04 3.2182941 0.0005127 387.314 125.686 EM
235.065 251.935
6 -0.62738315D+04 0.0647084 0.0000103 387.051 125.949 EM
235.031 251.969
FINAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
9 -0.62738307D+04 0.0330339 0.0000053 386.956 126.044 EM
235.017 251.983
10 -0.62738299D+04 0.0008520 0.0000001 386.991 126.009 EM
235.022 251.978
11 -0.62738299D+04 0.0000232 0.0000000 386.996 126.004 EM
235.023 251.977
12 -0.62738299D+04 0.0000006 0.0000000 386.997 126.003 EM
235.023 251.977
13 -0.62738299D+04 0.0000000 0.0000000 386.998 126.002 EM
235.023 251.977
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6
6 -0.62738305D+04 0.0262676 0.0000042 386.964 126.036 EM
235.017 251.983
7 -0.62738299D+04 0.0005718 0.0000001 386.992 126.008 EM
235.022 251.978
8 -0.62738299D+04 0.0000144 0.0000000 386.997 126.003 EM
235.023 251.977
9 -0.62738299D+04 0.0000004 0.0000000 386.997 126.003 EM
235.023 251.977
10 -0.62738299D+04 0.0000000 0.0000000 386.998 126.002 EM
235.023 251.977
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12
5 -0.62738308D+04 0.0389486 0.0000062 387.031 125.969 EM
235.029 251.971
6 -0.62738299D+04 0.0008868 0.0000001 387.003 125.997 EM
235.024 251.976
7 -0.62738299D+04 0.0000218 0.0000000 386.999 126.001 EM
235.023 251.977
8 -0.62738299D+04 0.0000006 0.0000000 386.998 126.002 EM
235.023 251.977
9 -0.62738299D+04 0.0000000 0.0000000 386.998 126.002 EM
235.023 251.977
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14
6 -0.62738308D+04 0.0348886 0.0000056 387.039 125.961 EM
235.030 251.970
7 -0.62738299D+04 0.0009445 0.0000002 387.005 125.995 EM
235.024 251.976
8 -0.62738299D+04 0.0000261 0.0000000 386.999 126.001 EM
235.023 251.977
9 -0.62738299D+04 0.0000007 0.0000000 386.998 126.002 EM
235.023 251.977
10 -0.62738299D+04 0.0000000 0.0000000 386.998 126.002 EM
235.023 251.977
Beginning Time: 22:57:19
Ending Time: 22:57:20
Elapsed Time: 00:00:01
MUTHEN & MUTHEN
3463 Stoner Ave.
Los Angeles, CA 90066
Tel: (310) 391-9971
Fax: (310) 391-8971
Web: www.StatModel.com
Support: Support@StatModel.com
Copyright (c) 1998-2012 Muthen & Muthen
Back to examples