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 exp(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 gen6exp1.dat *** STATISTICS *** Number of iterations = 260 Converge criterion = 0.0000009867 Seed random values = 4792 X-squared = 3972.0354 (0.0000) L-squared = 4060.7098 (0.0000) Cressie-Read = 3998.8784 (0.0000) Dissimilarity index = 0.0234 Degrees of freedom = 51 Log-likelihood = -3143446.07791 Number of parameters = 12 (+1) Sample size = 1000000.3 BIC(L-squared) = 3356.1187 AIC(L-squared) = 3958.7098 BIC(log-likelihood) = 6287057.9419 AIC(log-likelihood) = 6286916.1558 Eigenvalues information matrix 9.00E+0005 8.84E+0005 7.34E+0005 5.82E+0005 4.44E+0005 3.70E+0005 3.01E+0005 2.30E+0005 1.26E+0005 89970.9762 62869.9235 31478.0576 *** FREQUENCIES *** A B C D E F observed estimated std. res. 1 1 1 1 1 1 549.735 962.170 -13.296 1 1 1 1 1 2 943.942 1413.788 -12.496 1 1 1 1 2 1 3672.528 4738.135 -15.481 1 1 1 1 2 2 6343.459 7329.320 -11.516 1 1 1 2 1 1 2351.716 2735.880 -7.345 1 1 1 2 1 2 4109.905 4410.421 -4.525 1 1 1 2 2 1 16822.502 17245.622 -3.222 1 1 1 2 2 2 29746.847 29236.243 2.986 1 1 2 1 1 1 1021.237 1141.503 -3.560 1 1 2 1 1 2 1773.275 1823.137 -1.168 1 1 2 1 2 1 7123.505 7019.083 1.246 1 1 2 1 2 2 12486.404 11789.902 6.415 1 1 2 2 1 1 4980.903 4846.677 1.928 1 1 2 2 1 2 8906.479 8480.235 4.629 1 1 2 2 2 1 39033.404 38032.632 5.132 1 1 2 2 2 2 71319.140 69985.769 5.040 1 2 1 1 1 1 449.725 507.761 -2.576 1 2 1 1 1 2 776.797 794.382 -0.624 1 2 1 1 2 1 3073.535 2954.915 2.182 1 2 1 1 2 2 5349.800 4862.765 6.984 1 2 1 2 1 1 2060.023 1951.569 2.455 1 2 1 2 1 2 3642.693 3345.567 5.137 1 2 1 2 2 1 15437.182 14498.355 7.797 1 2 1 2 2 2 27751.355 26135.948 9.992 1 2 2 1 1 1 872.319 789.952 2.931 1 2 2 1 1 2 1529.040 1341.762 5.113 1 2 2 1 2 1 6313.708 5725.345 7.776 1 2 2 1 2 2 11210.602 10225.751 9.739 1 2 2 2 1 1 4779.891 4518.662 3.886 1 2 2 2 1 2 8733.487 8409.211 3.536 1 2 2 2 2 1 40900.456 41841.029 -4.598 1 2 2 2 2 2 77223.994 81956.959 -16.533 2 1 1 1 1 1 287.983 236.093 3.377 2 1 1 1 1 2 503.284 397.624 5.299 2 1 1 1 2 1 2060.023 1672.735 9.469 2 1 1 1 2 2 3642.693 2962.291 12.501 2 1 1 2 1 1 1520.025 1295.949 6.224 2 1 1 2 1 2 2757.757 2391.171 7.497 2 1 1 2 2 1 12635.456 11726.700 8.392 2 1 1 2 2 2 23597.511 22770.472 5.481 2 1 2 1 1 1 609.944 505.956 4.623 2 1 2 1 1 2 1090.656 924.892 5.451 2 1 2 1 2 1 4779.891 4465.151 4.710 2 1 2 1 2 2 8733.487 8588.632 1.563 2 1 2 2 1 1 4345.236 4142.863 3.144 2 1 2 2 1 2 8365.896 8311.438 0.597 2 1 2 2 2 1 46347.282 46966.592 -2.858 2 1 2 2 2 2 95491.545 99363.081 -12.282 2 2 1 1 1 1 252.263 194.265 4.161 2 2 1 1 1 2 446.071 347.896 5.264 2 2 1 1 2 1 1890.382 1622.434 6.652 2 2 1 1 2 2 3398.332 3056.418 6.185 2 2 1 2 1 1 1547.293 1438.403 2.871 2 2 1 2 1 2 2889.667 2825.258 1.212 2 2 1 2 2 1 14500.215 15401.119 -7.259 2 2 1 2 2 2 28356.673 31879.311 -19.729 2 2 2 1 1 1 585.328 544.633 1.744 2 2 2 1 1 2 1069.472 1059.629 0.302 2 2 2 1 2 1 5008.524 5683.942 -8.959 2 2 2 1 2 2 9456.575 11651.059 -20.331 2 2 2 2 1 1 5675.523 6061.353 -4.956 2 2 2 2 1 2 11693.553 12978.881 -11.282 2 2 2 2 2 1 81938.196 81957.214 -0.066 2 2 2 2 2 2 193233.930 185526.352 17.894 *** PSEUDO R-SQUARED MEASURES *** * P(A|X) * baseline fitted R-squared entropy 0.6807 0.5522 0.1888 qualitative variance 0.2438 0.1867 0.2341 classification error 0.4213 0.2785 0.3389 -2/N*log-likelihood 1.3614 1.1043 0.1888/0.2045 likelihood^(-2/N) 3.9017 3.0172 0.2267/0.3048 * P(B|X) * baseline fitted R-squared entropy 0.6827 0.6467 0.0527 qualitative variance 0.2448 0.2277 0.0698 classification error 0.4280 0.3724 0.1298 -2/N*log-likelihood 1.3655 1.2934 0.0527/0.0672 likelihood^(-2/N) 3.9175 3.6453 0.0695/0.0933 * P(C|X) * baseline fitted R-squared entropy 0.5311 0.4874 0.0824 qualitative variance 0.1735 0.1580 0.0890 classification error 0.2234 0.2174 0.0269 -2/N*log-likelihood 1.0623 0.9747 0.0824/0.0805 likelihood^(-2/N) 2.8929 2.6504 0.0838/0.1281 * P(D|X) * baseline fitted R-squared entropy 0.3408 0.3101 0.0903 qualitative variance 0.0958 0.0891 0.0699 classification error 0.1073 0.1069 0.0042 -2/N*log-likelihood 0.6817 0.6201 0.0903/0.0580 likelihood^(-2/N) 1.9772 1.8591 0.0597/0.1208 * P(E|X) * baseline fitted R-squared entropy 0.3051 0.2963 0.0289 qualitative variance 0.0828 0.0813 0.0186 classification error 0.0911 0.0911 0.0000 -2/N*log-likelihood 0.6102 0.5926 0.0289/0.0173 likelihood^(-2/N) 1.8409 1.8087 0.0175/0.0382 * P(F|X) * baseline fitted R-squared entropy 0.6366 0.6332 0.0053 qualitative variance 0.2223 0.2208 0.0067 classification error 0.3334 0.3334 0.0000 -2/N*log-likelihood 1.2732 1.2664 0.0053/0.0067 likelihood^(-2/N) 3.5721 3.5481 0.0067/0.0093 *** LOG-LINEAR PARAMETERS *** * TABLE XA [or P(A|X)] * effect beta std err z-value exp(beta) Wald df prob A 1 -0.2084 0.0015 -140.122 0.8119 2 0.2084 1.2317 19634.15 1 0.000 spe(A,1a) [X 1] 1 0.6286 0.0052 121.074 1.8750 14658.83 1 0.000 * TABLE XB [or P(B|X)] * effect beta std err z-value exp(beta) Wald df prob B 1 -0.1562 0.0011 -142.215 0.8554 2 0.1562 1.1691 20225.23 1 0.000 spe(B,1a) [X 1] 1 0.2864 0.0022 128.334 1.3316 16469.73 1 0.000 * TABLE XC [or P(C|X)] * effect beta std err z-value exp(beta) Wald df prob C 1 -0.6971 0.0017 -417.588 0.4980 2 0.6971 2.0079 174380.09 1 0.000 spe(C,1a) [X 1] 1 0.3818 0.0029 132.466 1.4649 17547.13 1 0.000 * TABLE XD [or P(D|X)] * effect beta std err z-value exp(beta) Wald df prob D 1 -1.1918 0.0027 -443.170 0.3037 2 1.1918 3.2930 196399.93 1 0.000 spe(D,1a) [X 1] 1 0.4249 0.0035 119.936 1.5295 14384.57 1 0.000 * TABLE XE [or P(E|X)] * effect beta std err z-value exp(beta) Wald df prob E 1 -1.1941 0.0021 -567.968 0.3030 2 1.1941 3.3005 322587.77 1 0.000 spe(E,1a) [X 1] 1 0.2344 0.0031 75.998 1.2641 5775.75 1 0.000 * TABLE XF [or P(F|X)] * effect beta std err z-value exp(beta) Wald df prob F 1 -0.3489 0.0011 -325.200 0.7055 2 0.3489 1.4175 105755.09 1 0.000 spe(F,1a) [X 1] 1 0.0876 0.0018 48.008 1.0916 2304.78 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 0.0023 0.0116 0.0462 0.1540 0.3973 0.7047 0.8997 0.9737 A 2 0.9977 0.9884 0.9538 0.8460 0.6027 0.2953 0.1003 0.0263 B 1 0.0523 0.1045 0.1821 0.2893 0.4225 0.5680 0.7062 0.8211 B 2 0.9477 0.8955 0.8179 0.7107 0.5775 0.4320 0.2938 0.1789 C 1 0.0078 0.0210 0.0483 0.1020 0.1987 0.3514 0.5478 0.7415 C 2 0.9922 0.9790 0.9517 0.8980 0.8013 0.6486 0.4522 0.2585 D 1 0.0020 0.0060 0.0155 0.0372 0.0844 0.1804 0.3501 0.5843 D 2 0.9980 0.9940 0.9845 0.9628 0.9156 0.8196 0.6499 0.4157 E 1 0.0110 0.0200 0.0335 0.0538 0.0841 0.1291 0.1955 0.2920 E 2 0.9890 0.9800 0.9665 0.9462 0.9159 0.8709 0.8045 0.7080 F 1 0.1841 0.2211 0.2570 0.2938 0.3323 0.3732 0.4173 0.4660 F 2 0.8159 0.7789 0.7430 0.7062 0.6677 0.6268 0.5827 0.5340 X 9 0.0000 A 1 0.9948 A 2 0.0052 B 1 0.9066 B 2 0.0934 C 1 0.8861 C 2 0.1139 D 1 0.8103 D 2 0.1897 E 1 0.4322 E 2 0.5678 F 1 0.5232 F 2 0.4768 E = 0.5255, lambda = 0.1148