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 *** * Generated probabilities from 2PL with theta normal(0,1); * a2= 1.7 b2= -1.05; * a3= .7 b3= -.35; * a4= 1.2 b4= .35; * a5= 1.7 b5= 1.05; * a6= .7 b6= 1.75; * a7= .2 b7= .50; lat 1 man 6 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)} sta wei(X) [0.000022345844 0.002789141321 0.049916406765 0.244097502895 0.406349206349 0.244097502895 0.049916406765 0.002789141321 0.000022345844] 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 ] nco dat gen6normal.dat *** STATISTICS *** Number of iterations = 139 Converge criterion = 0.0000009742 Seed random values = 4625 X-squared = 1.2000 (1.0000) L-squared = 1.2001 (1.0000) Cressie-Read = 1.2000 (1.0000) Dissimilarity index = 0.0005 Degrees of freedom = 51 Log-likelihood = -3608578.49943 Number of parameters = 12 (+1) Sample size = 999999.9 BIC(L-squared) = -703.3910 AIC(L-squared) = -100.7999 BIC(log-likelihood) = 7217322.7850 AIC(log-likelihood) = 7217180.9989 Eigenvalues information matrix 9.36E+0005 8.77E+0005 7.52E+0005 6.57E+0005 6.22E+0005 5.06E+0005 3.42E+0005 3.03E+0005 1.82E+0005 1.75E+0005 73364.0961 47365.8199 *** FREQUENCIES *** A B C D E F observed estimated std. res. 1 1 1 1 1 1 18051.424 18051.504 -0.001 1 1 1 1 1 2 22352.325 22361.157 -0.059 1 1 1 1 2 1 41600.042 41624.539 -0.120 1 1 1 1 2 2 55143.269 55161.637 -0.078 1 1 1 2 1 1 8306.094 8290.797 0.168 1 1 1 2 1 2 12024.617 11999.962 0.225 1 1 1 2 2 1 32610.859 32567.799 0.239 1 1 1 2 2 2 50017.083 49989.845 0.122 1 1 2 1 1 1 6153.249 6155.940 -0.034 1 1 2 1 1 2 8533.158 8531.321 0.020 1 1 2 1 2 1 20841.704 20812.740 0.201 1 1 2 1 2 2 30681.398 30640.226 0.235 1 1 2 2 1 1 6918.835 6924.769 -0.071 1 1 2 2 1 2 11048.206 11064.661 -0.156 1 1 2 2 2 1 38187.896 38251.450 -0.325 1 1 2 2 2 2 64507.316 64583.571 -0.300 1 2 1 1 1 1 5094.193 5099.218 -0.070 1 2 1 1 1 2 6752.648 6757.452 -0.058 1 2 1 1 2 1 14790.122 14779.481 0.088 1 2 1 1 2 2 20870.905 20845.096 0.179 1 2 1 2 1 1 3993.409 3989.106 0.068 1 2 1 2 1 2 6124.913 6122.961 0.025 1 2 1 2 2 1 19149.336 19178.511 -0.211 1 2 1 2 2 2 31072.696 31133.329 -0.344 1 2 2 1 1 1 2552.201 2549.385 0.056 1 2 2 1 1 2 3757.134 3753.103 0.066 1 2 2 1 2 1 10616.024 10617.762 -0.017 1 2 2 1 2 2 16547.912 16563.779 -0.123 1 2 2 2 1 1 4676.353 4684.807 -0.124 1 2 2 2 1 2 7899.336 7909.676 -0.116 1 2 2 2 2 1 31457.043 31430.506 0.150 1 2 2 2 2 2 56274.452 56182.580 0.388 2 1 1 1 1 1 1017.135 1014.366 0.087 2 1 1 1 1 2 1472.492 1468.433 0.106 2 1 1 1 2 1 3993.409 3987.016 0.101 2 1 1 1 2 2 6124.913 6120.877 0.052 2 1 1 2 1 1 1623.161 1626.505 -0.083 2 1 1 2 1 2 2698.021 2703.736 -0.110 2 1 1 2 2 1 10314.969 10324.414 -0.093 2 1 1 2 2 2 18149.135 18154.112 -0.037 2 1 2 1 1 1 847.256 848.093 -0.029 2 1 2 1 1 2 1352.924 1355.334 -0.065 2 1 2 1 2 1 4676.353 4687.374 -0.161 2 1 2 1 2 2 7899.336 7915.417 -0.181 2 1 2 2 1 1 3087.427 3084.287 0.057 2 1 2 2 1 2 5664.770 5657.309 0.099 2 1 2 2 2 1 27872.090 27843.288 0.173 2 1 2 2 2 2 54397.807 54366.292 0.135 2 2 1 1 1 1 489.019 488.354 0.030 2 2 1 1 1 2 750.035 749.710 0.012 2 2 1 1 2 1 2344.959 2349.218 -0.088 2 2 1 1 2 2 3805.051 3814.199 -0.148 2 2 1 2 1 1 1263.134 1264.419 -0.036 2 2 1 2 1 2 2222.478 2223.275 -0.017 2 2 1 2 2 1 9818.480 9811.063 0.075 2 2 1 2 2 2 18327.638 18314.554 0.097 2 2 2 1 1 1 572.650 574.081 -0.060 2 2 2 1 1 2 967.324 969.416 -0.067 2 2 2 1 2 1 3852.117 3853.745 -0.026 2 2 2 1 2 2 6891.168 6889.816 0.016 2 2 2 2 1 1 3413.117 3409.566 0.061 2 2 2 2 1 2 6661.361 6657.328 0.049 2 2 2 2 2 1 38487.297 38497.244 -0.051 2 2 2 2 2 2 80336.752 80368.423 -0.112 *** PSEUDO R-SQUARED MEASURES *** * P(A|X) * baseline fitted R-squared entropy 0.6352 0.4585 0.2781 qualitative variance 0.2216 0.1497 0.3243 classification error 0.3314 0.2053 0.3804 -2/N*log-likelihood 1.2703 0.9170 0.2781/0.2611 likelihood^(-2/N) 3.5620 2.5019 0.2976/0.4138 * P(B|X) * baseline fitted R-squared entropy 0.6809 0.6298 0.0750 qualitative variance 0.2439 0.2200 0.0980 classification error 0.4218 0.3506 0.1690 -2/N*log-likelihood 1.3618 1.2596 0.0750/0.0927 likelihood^(-2/N) 3.9030 3.5240 0.0971/0.1306 * P(C|X) * baseline fitted R-squared entropy 0.6840 0.5632 0.1766 qualitative variance 0.2454 0.1913 0.2206 classification error 0.4324 0.2897 0.3300 -2/N*log-likelihood 1.3679 1.1264 0.1766/0.1945 likelihood^(-2/N) 3.9273 3.0846 0.2146/0.2879 * P(D|X) * baseline fitted R-squared entropy 0.6352 0.4588 0.2777 qualitative variance 0.2216 0.1498 0.3239 classification error 0.3314 0.2055 0.3798 -2/N*log-likelihood 1.2703 0.9176 0.2777/0.2608 likelihood^(-2/N) 3.5620 2.5032 0.2973/0.4133 * P(E|X) * baseline fitted R-squared entropy 0.4532 0.4223 0.0683 qualitative variance 0.1400 0.1309 0.0650 classification error 0.1683 0.1677 0.0041 -2/N*log-likelihood 0.9065 0.8446 0.0683/0.0583 likelihood^(-2/N) 2.4756 2.3270 0.0600/0.1007 * P(F|X) * baseline fitted R-squared entropy 0.6634 0.6588 0.0070 qualitative variance 0.2353 0.2331 0.0092 classification error 0.3787 0.3785 0.0005 -2/N*log-likelihood 1.3268 1.3175 0.0070/0.0092 likelihood^(-2/N) 3.7690 3.7342 0.0092/0.0126 *** LOG-LINEAR PARAMETERS *** * TABLE XA [or P(A|X)] * effect beta std err z-value exp(beta) Wald df prob A 1 0.5250 0.0020 261.964 1.6905 2 -0.5250 0.5915 68625.04 1 0.000 spe(A,1a) [X 1] 1 -0.8505 0.0039 -215.678 0.4272 46516.85 1 0.000 * TABLE XB [or P(B|X)] * effect beta std err z-value exp(beta) Wald df prob B 1 0.1750 0.0011 154.460 1.1912 2 -0.1750 0.8395 23857.75 1 0.000 spe(B,1a) [X 1] 1 -0.3498 0.0017 -204.505 0.7049 41822.47 1 0.000 * TABLE XC [or P(C|X)] * effect beta std err z-value exp(beta) Wald df prob C 1 -0.1749 0.0013 -132.424 0.8395 2 0.1749 1.1911 17536.24 1 0.000 spe(C,1a) [X 1] 1 -0.5993 0.0025 -244.200 0.5492 59633.71 1 0.000 * TABLE XD [or P(D|X)] * effect beta std err z-value exp(beta) Wald df prob D 1 -0.5247 0.0020 -263.458 0.5917 2 0.5247 1.6900 69410.37 1 0.000 spe(D,1a) [X 1] 1 -0.8495 0.0039 -218.763 0.4276 47857.03 1 0.000 * TABLE XE [or P(E|X)] * effect beta std err z-value exp(beta) Wald df prob E 1 -0.8749 0.0017 -526.336 0.4169 2 0.8749 2.3987 277029.67 1 0.000 spe(E,1a) [X 1] 1 -0.3499 0.0021 -166.716 0.7048 27794.19 1 0.000 * TABLE XF [or P(F|X)] * effect beta std err z-value exp(beta) Wald df prob F 1 -0.2500 0.0010 -239.803 0.7788 2 0.2500 1.2840 57505.54 1 0.000 spe(F,1a) [X 1] 1 -0.1000 0.0014 -71.280 0.9049 5080.79 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 0.9998 0.9985 0.9899 0.9422 0.7408 0.3339 0.0771 0.0121 A 2 0.0002 0.0015 0.0101 0.0578 0.2592 0.6661 0.9229 0.9879 B 1 0.9709 0.9304 0.8585 0.7438 0.5866 0.4096 0.2492 0.1310 B 2 0.0291 0.0696 0.1415 0.2562 0.4134 0.5904 0.7508 0.8690 C 1 0.9937 0.9705 0.8947 0.7061 0.4134 0.1713 0.0553 0.0149 C 2 0.0063 0.0295 0.1053 0.2939 0.5866 0.8287 0.9447 0.9851 D 1 0.9987 0.9878 0.9227 0.6658 0.2593 0.0580 0.0102 0.0015 D 2 0.0013 0.0122 0.0773 0.3342 0.7407 0.9420 0.9898 0.9985 E 1 0.8034 0.6208 0.4264 0.2623 0.1481 0.0783 0.0390 0.0181 E 2 0.1966 0.3792 0.5736 0.7377 0.8519 0.9217 0.9610 0.9819 F 1 0.5992 0.5351 0.4788 0.4267 0.3775 0.3308 0.2859 0.2422 F 2 0.4008 0.4649 0.5212 0.5733 0.6225 0.6692 0.7141 0.7578 X 9 0.0000 A 1 0.0013 A 2 0.9987 B 1 0.0570 B 2 0.9430 C 1 0.0031 C 2 0.9969 D 1 0.0002 D 2 0.9998 E 1 0.0073 E 2 0.9927 F 1 0.1975 F 2 0.8025 E = 0.4237, lambda = 0.2862