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 rasch theta exp1 * Rasch MMLE 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} B|X {B} C|X {C} D|X {D} E|X {E} F|X {F} all {spe(XA,XB,XC,XD,XE,XF,1b)} sta wei(X) nor(1,8) nco data gen6rasch_exp1.dat *** STATISTICS *** Number of iterations = 67 Converge criterion = 0.0000007777 Seed random values = 4626 X-squared = 7259.4355 (0.0000) L-squared = 7570.8780 (0.0000) Cressie-Read = 7352.4469 (0.0000) Dissimilarity index = 0.0356 Degrees of freedom = 56 Log-likelihood = -3082193.63087 Number of parameters = 7 (+1) Sample size = 1000000.2 BIC(L-squared) = 6797.2094 AIC(L-squared) = 7458.8780 BIC(log-likelihood) = 6164483.9703 AIC(log-likelihood) = 6164401.2617 Eigenvalues information matrix 8.80E+0005 7.89E+0005 6.54E+0005 5.69E+0005 4.75E+0005 3.25E+0005 1.94E+0005 *** FREQUENCIES *** A B C D E F observed estimated std. res. 1 1 1 1 1 1 551.922 1424.463 -23.119 1 1 1 1 1 2 1138.877 1598.061 -11.487 1 1 1 1 2 1 3975.072 5688.917 -22.723 1 1 1 1 2 2 8680.718 8788.264 -1.147 1 1 1 2 1 1 1973.962 2793.186 -15.501 1 1 1 2 1 2 4310.717 4314.926 -0.064 1 1 1 2 2 1 15045.880 15360.648 -2.540 1 1 1 2 2 2 35916.242 32803.702 17.185 1 1 2 1 1 1 980.241 1373.139 -10.603 1 1 2 1 1 2 2140.639 2121.232 0.421 1 1 2 1 2 1 7471.563 7551.344 -0.918 1 1 2 1 2 2 17835.478 16126.406 13.458 1 1 2 2 1 1 3710.268 3707.614 0.044 1 1 2 2 1 2 8856.836 7917.861 10.552 1 1 2 2 2 1 30913.396 28186.685 16.241 1 1 2 2 2 2 85952.765 83821.989 7.360 1 2 1 1 1 1 486.773 681.577 -7.462 1 2 1 1 1 2 1063.010 1052.903 0.311 1 2 1 1 2 1 3710.268 3748.214 -0.620 1 2 1 1 2 2 8856.836 8004.563 9.526 1 2 1 2 1 1 1842.465 1840.325 0.050 1 2 1 2 1 2 4398.175 3930.139 7.466 1 2 1 2 2 1 15351.138 13990.849 11.500 1 2 1 2 2 2 42682.880 41606.199 5.278 1 2 2 1 1 1 914.941 904.710 0.340 1 2 2 1 1 2 2184.069 1932.069 5.733 1 2 2 1 2 1 7623.150 6877.947 8.986 1 2 2 1 2 2 21195.691 20453.741 5.188 1 2 2 2 1 1 3785.544 3376.985 7.031 1 2 2 2 1 2 10525.469 10042.527 4.819 1 2 2 2 2 1 36737.495 35750.258 5.221 1 2 2 2 2 2 136751.200 149665.105 -33.381 2 1 1 1 1 1 241.724 344.962 -5.558 2 1 1 1 1 2 527.875 532.899 -0.218 2 1 1 1 2 1 1842.465 1897.060 -1.253 2 1 1 1 2 2 4398.175 4051.300 5.450 2 1 1 2 1 1 914.941 931.432 -0.540 2 1 1 2 1 2 2184.069 1989.137 4.371 2 1 1 2 2 1 7623.150 7081.102 6.442 2 1 1 2 2 2 21195.691 21057.888 0.950 2 1 2 1 1 1 454.346 457.895 -0.166 2 1 2 1 1 2 1084.576 977.866 3.412 2 1 2 1 2 1 3785.544 3481.093 5.160 2 1 2 1 2 2 10525.469 10352.125 1.704 2 1 2 2 1 1 1879.845 1709.172 4.128 2 1 2 2 1 2 5226.793 5082.762 2.020 2 1 2 2 2 1 18243.300 18094.057 1.109 2 1 2 2 2 2 67908.635 75749.073 -28.487 2 2 1 1 1 1 225.622 227.283 -0.110 2 2 1 1 1 2 538.585 485.377 2.415 2 2 1 1 2 1 1879.845 1727.888 3.656 2 2 1 1 2 2 5226.793 5138.420 1.233 2 2 1 2 1 1 933.504 848.371 2.923 2 2 1 2 1 2 2595.549 2522.899 1.446 2 2 1 2 2 1 9059.355 8981.234 0.824 2 2 1 2 2 2 33722.430 37599.095 -19.993 2 2 2 1 1 1 463.564 417.062 2.277 2 2 2 1 1 2 1288.911 1240.265 1.381 2 2 2 1 2 1 4498.743 4415.204 1.257 2 2 2 1 2 2 16746.063 18483.837 -12.782 2 2 2 2 1 1 2234.009 2167.809 1.422 2 2 2 2 1 2 8315.849 9075.329 -7.972 2 2 2 2 2 1 29025.165 32307.142 -18.259 2 2 2 2 2 2 207645.910 193136.586 33.015 *** PSEUDO R-SQUARED MEASURES *** * P(A|X) * baseline fitted R-squared entropy 0.6916 0.6368 0.0793 qualitative variance 0.2492 0.2232 0.1046 classification error 0.4724 0.3673 0.2225 -2/N*log-likelihood 1.3833 1.2664 0.0845/0.1047 likelihood^(-2/N) 3.9879 3.5479 0.1103/0.1472 * P(B|X) * baseline fitted R-squared entropy 0.6628 0.6109 0.0783 qualitative variance 0.2350 0.2115 0.1000 classification error 0.3775 0.3328 0.1184 -2/N*log-likelihood 1.3256 1.2192 0.0803/0.0962 likelihood^(-2/N) 3.7646 3.3845 0.1010/0.1375 * P(C|X) * baseline fitted R-squared entropy 0.5546 0.5130 0.0750 qualitative variance 0.1840 0.1686 0.0836 classification error 0.2431 0.2365 0.0271 -2/N*log-likelihood 1.1092 1.0274 0.0738/0.0756 likelihood^(-2/N) 3.0321 2.7939 0.0786/0.1172 * P(D|X) * baseline fitted R-squared entropy 0.4095 0.3810 0.0697 qualitative variance 0.1222 0.1148 0.0610 classification error 0.1425 0.1421 0.0029 -2/N*log-likelihood 0.8191 0.7653 0.0657/0.0511 likelihood^(-2/N) 2.2684 2.1496 0.0524/0.0937 * P(E|X) * baseline fitted R-squared entropy 0.2738 0.2565 0.0633 qualitative variance 0.0719 0.0691 0.0394 classification error 0.0780 0.0780 0.0001 -2/N*log-likelihood 0.5476 0.5161 0.0574/0.0305 likelihood^(-2/N) 1.7291 1.6755 0.0310/0.0734 * P(F|X) * baseline fitted R-squared entropy 0.5248 0.4860 0.0740 qualitative variance 0.1707 0.1572 0.0791 classification error 0.2184 0.2161 0.0104 -2/N*log-likelihood 1.0497 0.9740 0.0721/0.0704 likelihood^(-2/N) 2.8568 2.6485 0.0729/0.1122 *** LOG-LINEAR PARAMETERS *** * TABLE XA [or P(A|X)] * effect beta std err z-value exp(beta) Wald df prob A 1 0.0613 0.0011 54.838 1.0633 2 -0.0613 0.9405 3007.18 1 0.000 * TABLE XB [or P(B|X)] * effect beta std err z-value exp(beta) Wald df prob B 1 -0.2791 0.0012 -241.967 0.7564 2 0.2791 1.3220 58547.95 1 0.000 * TABLE XC [or P(C|X)] * effect beta std err z-value exp(beta) Wald df prob C 1 -0.6294 0.0013 -483.566 0.5329 2 0.6294 1.8764 233835.82 1 0.000 * TABLE XD [or P(D|X)] * effect beta std err z-value exp(beta) Wald df prob D 1 -0.9844 0.0016 -625.786 0.3737 2 0.9844 2.6762 391608.14 1 0.000 * TABLE XE [or P(E|X)] * effect beta std err z-value exp(beta) Wald df prob E 1 -1.3401 0.0020 -670.282 0.2618 2 1.3401 3.8194 449277.94 1 0.000 * TABLE XF [or P(F|X)] * effect beta std err z-value exp(beta) Wald df prob F 1 -0.7052 0.0013 -522.901 0.4940 2 0.7052 2.0243 273425.57 1 0.000 * ALL TABLES * effect beta std err z-value exp(beta) Wald df prob spe(XA,.,XF,1b) 1 0.7201 0.0019 386.476 2.0546 149364.01 1 0.000 *** LATENT CLASS OUTPUT *** X 1 X 2 X 3 X 4 X 5 X 6 X 7 X 8 0.0001 0.0044 0.0540 0.2420 0.3989 0.2420 0.0540 0.0044 A 1 0.9527 0.9075 0.8268 0.6990 0.5306 0.3549 0.2112 0.1153 A 2 0.0473 0.0925 0.1732 0.3010 0.4694 0.6451 0.7888 0.8847 B 1 0.9107 0.8323 0.7072 0.5404 0.3639 0.2178 0.1194 0.0619 B 2 0.0893 0.1677 0.2928 0.4596 0.6361 0.7822 0.8806 0.9381 C 1 0.8350 0.7113 0.5452 0.3685 0.2212 0.1214 0.0630 0.0317 C 2 0.1650 0.2887 0.4548 0.6315 0.7788 0.8786 0.9370 0.9683 D 1 0.7133 0.5477 0.3708 0.2229 0.1225 0.0636 0.0320 0.0158 D 2 0.2867 0.4523 0.6292 0.7771 0.8775 0.9364 0.9680 0.9842 E 1 0.5499 0.3729 0.2244 0.1235 0.0642 0.0323 0.0160 0.0078 E 2 0.4501 0.6271 0.7756 0.8765 0.9358 0.9677 0.9840 0.9922 F 1 0.8131 0.6791 0.5074 0.3340 0.1962 0.1062 0.0546 0.0274 F 2 0.1869 0.3209 0.4926 0.6660 0.8038 0.8938 0.9454 0.9726 X 9 0.0001 A 1 0.0597 A 2 0.9403 B 1 0.0311 B 2 0.9689 C 1 0.0157 C 2 0.9843 D 1 0.0078 D 2 0.9922 E 1 0.0038 E 2 0.9962 F 1 0.0135 F 2 0.9865 E = 0.5350, lambda = 0.1099