LEM: log-linear and event history analysis with missing data. Developed by Jeroen K. Vermunt (c), Tilburg University, The Netherlands. Version 1.2 (July 10, 1998). *** INPUT *** * Data generated from HCG/LMA (use formula for margin and multiply by 10000000 * ssq=.2 * ssq=.2; * uA= -.90 nuA = 1/sqrt(2) * uB= .50 nuB = 1.500 * uC= -.20 nuC = .5000 * uD= .30 nuD = .8000 * uE= -.40 nuE = .9000 * uF= .50 nuF = .2000 * uG= -.70 nuG = .4000 * * * Note LEM=gen as follows A=A, B=C, C=D, D=E, F=G man 6 lat 1 dim 9 2 2 2 2 2 2 lab X A B C D E F mod X {wei(X)} A|X {A spe(A,1a,X,c,-1)} B|X {B spe(B,1a,X,c,-1)} C|X {C spe(C,1a,X,c,-1)} D|X {D spe(D,1a,X,c,-1)} E|X {E spe(E,1a,X,c,-1)} F|X {F spe(F,1a,X,c,-1)} des[-4.512745863399 -3.205429002856 -2.076847978677 -1.023255663789 0.000000000000 1.023255663789 2.076847978677 3.205429002856 4.512745863399 -4.512745863399 -3.205429002856 -2.076847978677 -1.023255663789 0.000000000000 1.023255663789 2.076847978677 3.205429002856 4.512745863399 -4.512745863399 -3.205429002856 -2.076847978677 -1.023255663789 0.000000000000 1.023255663789 2.076847978677 3.205429002856 4.512745863399 -4.512745863399 -3.205429002856 -2.076847978677 -1.023255663789 0.000000000000 1.023255663789 2.076847978677 3.205429002856 4.512745863399] -4.512745863399 -3.205429002856 -2.076847978677 -1.023255663789 0.000000000000 1.023255663789 2.076847978677 3.205429002856 4.512745863399 -4.512745863399 -3.205429002856 -2.076847978677 -1.023255663789 0.000000000000 1.023255663789 2.076847978677 3.205429002856 4.512745863399] sta wei(X) [0.000022345844 0.002789141321 0.049916406765 0.244097502895 0.406349206349 0.244097502895 0.049916406765 0.002789141321 0.000022345844] nco dat [ 6893.913 938.1804 13618.29 2025.914 1048.014 215.117 2539.739 571.4613 4580.037 897.6229 10844.79 2330.951 1587.602 465.5467 4607.351 1468.611 2260.113 385.5428 4993.296 934.3178 574.8053 148.0153 1561.744 438.8228 2371.272 584.0463 6299.319 1694.95 1356.404 487.6179 4365.513 1695.206 450.0373 84.48621 1042.917 214.7742 141.7921 39.96303 403.2956 123.7062 571.4687 154.2417 1590.12 467.6903 398.7043 155.2423 1336.26 560.7457 220.8185 52.16239 574.3532 148.3642 115.331 39.96933 364.3449 136.542 440.5195 146.6751 1363.636 491.5826 484.2352 226.5605 1781.072 894.2654 ] *** STATISTICS *** Number of iterations = 114 Converge criterion = 0.0000008977 Seed random values = 2826 X-squared = 4.6808 (1.0000) L-squared = 4.6947 (1.0000) Cressie-Read = 4.6853 (1.0000) Dissimilarity index = 0.0022 Degrees of freedom = 51 Log-likelihood = -340184.32700 Number of parameters = 12 (+1) Sample size = 100000.0 BIC(L-squared) = -582.4645 AIC(L-squared) = -97.3053 BIC(log-likelihood) = 680506.8091 AIC(log-likelihood) = 680392.6540 Eigenvalues information matrix 85899.7052 81905.8497 75175.9397 68412.2660 64373.7120 41161.8900 31979.3644 24353.5884 19095.0180 12333.8878 8150.4292 5954.1767 *** FREQUENCIES *** A B C D E F observed estimated std. res. 1 1 1 1 1 1 6893.913 6894.625 -0.009 1 1 1 1 1 2 938.180 937.581 0.020 1 1 1 1 2 1 13618.290 13579.655 0.332 1 1 1 1 2 2 2025.914 2031.597 -0.126 1 1 1 2 1 1 1048.014 1050.163 -0.066 1 1 1 2 1 2 215.117 216.459 -0.091 1 1 1 2 2 1 2539.739 2553.780 -0.278 1 1 1 2 2 2 571.461 573.380 -0.080 1 1 2 1 1 1 4580.037 4558.578 0.318 1 1 2 1 1 2 897.623 902.016 -0.146 1 1 2 1 2 1 10844.790 10859.165 -0.138 1 1 2 1 2 2 2330.951 2342.180 -0.232 1 1 2 2 1 1 1587.602 1597.239 -0.241 1 1 2 2 1 2 465.547 464.422 0.052 1 1 2 2 2 1 4607.351 4618.370 -0.162 1 1 2 2 2 2 1468.611 1457.893 0.281 1 2 1 1 1 1 2260.113 2252.918 0.152 1 2 1 1 1 2 385.543 387.644 -0.107 1 2 1 1 2 1 4993.296 5000.164 -0.097 1 2 1 1 2 2 934.318 940.559 -0.203 1 2 1 2 1 1 574.805 577.737 -0.122 1 2 1 2 1 2 148.015 147.384 0.052 1 2 1 2 2 1 1561.744 1564.236 -0.063 1 2 1 2 2 2 438.823 433.617 0.250 1 2 2 1 1 1 2371.272 2382.589 -0.232 1 2 2 1 1 2 584.046 584.317 -0.011 1 2 2 1 2 1 6299.319 6324.295 -0.314 1 2 2 1 2 2 1694.950 1685.939 0.219 1 2 2 2 1 1 1356.404 1354.270 0.058 1 2 2 2 1 2 487.618 484.051 0.162 1 2 2 2 2 1 4365.513 4342.719 0.346 1 2 2 2 2 2 1695.206 1684.665 0.257 2 1 1 1 1 1 450.037 454.891 -0.228 2 1 1 1 1 2 84.486 85.598 -0.120 2 1 1 1 2 1 1042.917 1056.415 -0.415 2 1 1 1 2 2 214.774 216.894 -0.144 2 1 1 2 1 1 141.792 142.421 -0.053 2 1 1 2 1 2 39.963 39.493 0.075 2 1 1 2 2 1 403.296 402.117 0.059 2 1 1 2 2 2 123.706 121.093 0.237 2 1 2 1 1 1 571.469 575.771 -0.179 2 1 2 1 1 2 154.242 153.542 0.056 2 1 2 1 2 1 1590.120 1594.042 -0.098 2 1 2 1 2 2 467.690 461.756 0.276 2 1 2 2 1 1 398.704 395.670 0.153 2 1 2 2 1 2 155.242 153.543 0.137 2 1 2 2 2 1 1336.260 1321.982 0.393 2 1 2 2 2 2 560.746 557.089 0.155 2 2 1 1 1 1 220.819 223.230 -0.161 2 2 1 1 1 2 52.162 52.166 -0.001 2 2 1 1 2 1 574.353 578.317 -0.165 2 2 1 1 2 2 148.364 146.972 0.115 2 2 1 2 1 1 115.331 113.762 0.147 2 2 1 2 1 2 39.969 38.797 0.188 2 2 1 2 2 1 364.345 356.330 0.425 2 2 1 2 2 2 136.542 131.876 0.406 2 2 2 1 1 1 440.519 437.841 0.128 2 2 2 1 1 2 146.675 143.673 0.250 2 2 2 1 2 1 1363.636 1345.188 0.503 2 2 2 1 2 2 491.583 479.017 0.574 2 2 2 2 1 1 484.235 482.723 0.069 2 2 2 2 1 2 226.560 230.972 -0.290 2 2 2 2 2 1 1781.072 1789.974 -0.210 2 2 2 2 2 2 894.265 932.637 -1.256 *** PSEUDO R-SQUARED MEASURES *** * P(A|X) * baseline fitted R-squared entropy 0.4264 0.3741 0.1227 qualitative variance 0.1290 0.1142 0.1146 classification error 0.1522 0.1499 0.0146 -2/N*log-likelihood 0.8529 0.7482 0.1227/0.0947 likelihood^(-2/N) 2.3464 2.1133 0.0993/0.1731 * P(B|X) * baseline fitted R-squared entropy 0.6622 0.6120 0.0759 qualitative variance 0.2347 0.2119 0.0971 classification error 0.3763 0.3335 0.1139 -2/N*log-likelihood 1.3245 1.2239 0.0759/0.0913 likelihood^(-2/N) 3.7602 3.4005 0.0956/0.1303 * P(C|X) * baseline fitted R-squared entropy 0.6841 0.5703 0.1664 qualitative variance 0.2455 0.1942 0.2088 classification error 0.4330 0.2954 0.3177 -2/N*log-likelihood 1.3683 1.1407 0.1663/0.1854 likelihood^(-2/N) 3.9286 3.1289 0.2036/0.2731 * P(D|X) * baseline fitted R-squared entropy 0.6137 0.4958 0.1920 qualitative variance 0.2113 0.1638 0.2250 classification error 0.3033 0.2410 0.2055 -2/N*log-likelihood 1.2273 0.9916 0.1920/0.1907 likelihood^(-2/N) 3.4121 2.6956 0.2100/0.2970 * P(E|X) * baseline fitted R-squared entropy 0.5978 0.5899 0.0131 qualitative variance 0.2038 0.2007 0.0157 classification error 0.2852 0.2852 0.0000 -2/N*log-likelihood 1.1955 1.1798 0.0131/0.0154 likelihood^(-2/N) 3.3053 3.2539 0.0156/0.0223 * P(F|X) * baseline fitted R-squared entropy 0.4894 0.4667 0.0464 qualitative variance 0.1553 0.1480 0.0466 classification error 0.1922 0.1918 0.0020 -2/N*log-likelihood 0.9788 0.9333 0.0464/0.0434 likelihood^(-2/N) 2.6612 2.5430 0.0444/0.0711 *** LOG-LINEAR PARAMETERS *** * TABLE XA [or P(A|X)] * effect beta std err z-value exp(beta) Wald df prob A 1 1.0112 0.0071 141.655 2.7489 2 -1.0112 0.3638 20066.04 1 0.000 spe(A,1a) [X 1] 1 -0.4943 0.0093 -53.052 0.6100 2814.47 1 0.000 * TABLE XB [or P(B|X)] * effect beta std err z-value exp(beta) Wald df prob B 1 0.2807 0.0037 75.175 1.3240 2 -0.2807 0.7553 5651.21 1 0.000 spe(B,1a) [X 1] 1 -0.3534 0.0065 -54.459 0.7023 2965.83 1 0.000 * TABLE XC [or P(C|X)] * effect beta std err z-value exp(beta) Wald df prob C 1 -0.1706 0.0042 -40.940 0.8432 2 0.1706 1.1860 1676.07 1 0.000 spe(C,1a) [X 1] 1 -0.5749 0.0101 -57.094 0.5628 3259.67 1 0.000 * TABLE XD [or P(D|X)] * effect beta std err z-value exp(beta) Wald df prob D 1 0.5447 0.0058 93.260 1.7242 2 -0.5447 0.5800 8697.36 1 0.000 spe(D,1a) [X 1] 1 -0.6410 0.0114 -56.414 0.5267 3182.55 1 0.000 * TABLE XE [or P(E|X)] * effect beta std err z-value exp(beta) Wald df prob E 1 -0.4678 0.0036 -129.390 0.6264 2 0.4678 1.5965 16741.83 1 0.000 spe(E,1a) [X 1] 1 -0.1403 0.0055 -25.313 0.8691 640.73 1 0.000 * TABLE XF [or P(F|X)] * effect beta std err z-value exp(beta) Wald df prob F 1 0.7642 0.0047 162.035 2.1472 2 -0.7642 0.4657 26255.32 1 0.000 spe(F,1a) [X 1] 1 -0.2804 0.0068 -41.276 0.7555 1703.75 1 0.000 *** LATENT CLASS OUTPUT *** X 1 X 2 X 3 X 4 X 5 X 6 X 7 X 8 0.0000 0.0028 0.0499 0.2441 0.4063 0.2441 0.0499 0.0028 A 1 0.9985 0.9945 0.9833 0.9541 0.8831 0.7332 0.4923 0.2411 A 2 0.0015 0.0055 0.0167 0.0459 0.1169 0.2668 0.5077 0.7589 B 1 0.9770 0.9441 0.8838 0.7832 0.6368 0.4596 0.2877 0.1539 B 2 0.0230 0.0559 0.1162 0.2168 0.3632 0.5404 0.7123 0.8461 C 1 0.9922 0.9659 0.8856 0.6975 0.4155 0.1798 0.0613 0.0175 C 2 0.0078 0.0341 0.1144 0.3025 0.5845 0.8202 0.9387 0.9825 D 1 0.9990 0.9945 0.9771 0.9169 0.7483 0.4446 0.1718 0.0465 D 2 0.0010 0.0055 0.0229 0.0831 0.2517 0.5554 0.8282 0.9535 E 1 0.5820 0.4910 0.4127 0.3433 0.2818 0.2274 0.1797 0.1376 E 2 0.4180 0.5090 0.5873 0.6567 0.7182 0.7726 0.8203 0.8624 F 1 0.9830 0.9653 0.9366 0.8911 0.8218 0.7220 0.5899 0.4331 F 2 0.0170 0.0347 0.0634 0.1089 0.1782 0.2780 0.4101 0.5669 X 9 0.0000 A 1 0.0802 A 2 0.9198 B 1 0.0673 B 2 0.9327 C 1 0.0040 C 2 0.9960 D 1 0.0090 D 2 0.9910 E 1 0.0996 E 2 0.9004 F 1 0.2685 F 2 0.7315 E = 0.4839, lambda = 0.1849