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 *** man 4 dim 2 4 6 6 lab S A L H mod {S A L H SA SL SH LH SLH ass2(A,L,S,5b,c,3,0,1) ass2(A,H,S,5c,-2,0,-1) ass2(A,H,S,5c,2,0,-1)} des [ 1 1 2 3 1 1 2 1 2 1 0 0 1 1 1 0 1 2 1 2 0 1 ] ass_equ [ 1 2 3 2 4 2 ] dlk nco cri .00000000001 dat[ 44 4 9 7 6 7 13 30 20 8 14 7 9 23 17 17 3 0 16 17 10 20 2 2 5 4 9 10 4 0 3 3 0 1 4 1 7 4 5 5 14 69 5 7 13 15 38 37 6 7 8 10 10 15 4 12 5 13 6 14 2 3 1 1 3 5 0 0 1 1 1 3 8 2 2 1 0 4 5 5 5 5 5 3 8 10 7 4 1 1 12 17 15 13 2 2 12 17 19 18 10 4 31 29 25 24 12 12 4 1 2 0 4 37 0 4 0 1 8 25 1 3 3 7 8 15 4 4 8 17 12 21 3 12 8 11 20 20 11 8 12 11 12 33 69 6 1 1 0 0 34 20 10 3 1 0 43 24 13 9 1 0 78 40 20 6 0 1 32 38 17 5 4 0 5 14 3 2 0 0 10 5 2 11 16 28 8 5 11 43 27 38 9 6 7 28 32 45 8 6 14 19 23 22 4 5 7 6 18 18 0 1 2 3 5 8 4 1 0 0 0 0 5 3 2 1 0 0 8 6 3 1 0 0 36 25 18 3 1 0 83 69 26 6 1 0 127 50 12 7 2 0 5 0 1 4 4 9 0 1 3 6 9 27 2 3 2 11 27 20 9 12 11 10 23 31 16 7 5 19 33 40 21 14 13 20 21 61] *** STATISTICS *** Number of iterations = 309 Converge criterion = 0.0000000000 X-squared = 265.6914 (0.0015) L-squared = 256.4506 (0.0050) Cressie-Read = 252.7469 (0.0078) Dissimilarity index = 0.0835 Degrees of freedom = 201 Log-likelihood = -17328.73629 Number of parameters = 86 (+1) Sample size = 3399.0 BIC(L-squared) = -1377.9279 AIC(L-squared) = -145.5494 BIC(log-likelihood) = 35356.7589 AIC(log-likelihood) = 34829.4726 WARNING: no information is provided on identification of parameters *** FREQUENCIES *** S A L H observed estimated std. res. 1 1 1 1 44.000 39.805 0.665 1 1 1 2 4.000 6.738 -1.055 1 1 1 3 9.000 9.707 -0.227 1 1 1 4 7.000 5.216 0.781 1 1 1 5 6.000 5.662 0.142 1 1 1 6 7.000 10.745 -1.142 1 1 2 1 13.000 14.176 -0.312 1 1 2 2 30.000 27.475 0.482 1 1 2 3 20.000 19.949 0.011 1 1 2 4 8.000 11.296 -0.981 1 1 2 5 14.000 14.828 -0.215 1 1 2 6 7.000 6.358 0.254 1 1 3 1 9.000 13.231 -1.163 1 1 3 2 23.000 22.933 0.014 1 1 3 3 17.000 16.310 0.171 1 1 3 4 17.000 13.001 1.109 1 1 3 5 3.000 4.348 -0.646 1 1 3 6 0.000 2.327 -1.525 1 1 4 1 16.000 14.639 0.356 1 1 4 2 17.000 19.613 -0.590 1 1 4 3 10.000 12.898 -0.807 1 1 4 4 20.000 15.462 1.154 1 1 4 5 2.000 3.063 -0.607 1 1 4 6 2.000 2.009 -0.006 1 1 5 1 5.000 4.724 0.127 1 1 5 2 4.000 7.443 -1.262 1 1 5 3 9.000 6.586 0.941 1 1 5 4 10.000 5.132 2.149 1 1 5 5 4.000 2.694 0.796 1 1 5 6 0.000 0.776 -0.881 1 1 6 1 3.000 2.845 0.092 1 1 6 2 3.000 2.439 0.359 1 1 6 3 0.000 2.014 -1.419 1 1 6 4 1.000 1.451 -0.374 1 1 6 5 4.000 0.673 4.055 1 1 6 6 1.000 0.436 0.853 1 2 1 1 7.000 12.309 -1.513 1 2 1 2 4.000 2.315 1.107 1 2 1 3 5.000 4.827 0.079 1 2 1 4 5.000 4.887 0.051 1 2 1 5 14.000 11.973 0.586 1 2 1 6 69.000 68.595 0.049 1 2 2 1 5.000 4.384 0.294 1 2 2 2 7.000 9.442 -0.795 1 2 2 3 13.000 9.920 0.978 1 2 2 4 15.000 10.583 1.358 1 2 2 5 38.000 31.353 1.187 1 2 2 6 37.000 40.591 -0.564 1 2 3 1 6.000 4.091 0.944 1 2 3 2 7.000 7.881 -0.314 1 2 3 3 8.000 8.110 -0.039 1 2 3 4 10.000 12.180 -0.625 1 2 3 5 10.000 9.194 0.266 1 2 3 6 15.000 14.856 0.037 1 2 4 1 4.000 4.527 -0.248 1 2 4 2 12.000 6.740 2.026 1 2 4 3 5.000 6.414 -0.558 1 2 4 4 13.000 14.486 -0.390 1 2 4 5 6.000 6.476 -0.187 1 2 4 6 14.000 12.826 0.328 1 2 5 1 2.000 1.461 0.446 1 2 5 2 3.000 2.558 0.277 1 2 5 3 1.000 3.275 -1.257 1 2 5 4 1.000 4.808 -1.737 1 2 5 5 3.000 5.696 -1.130 1 2 5 6 5.000 4.955 0.020 1 2 6 1 0.000 0.880 -0.938 1 2 6 2 0.000 0.838 -0.916 1 2 6 3 1.000 1.001 -0.001 1 2 6 4 1.000 1.359 -0.308 1 2 6 5 1.000 1.424 -0.355 1 2 6 6 3.000 2.786 0.128 1 3 1 1 8.000 7.367 0.233 1 3 1 2 2.000 1.271 0.646 1 3 1 3 2.000 1.960 0.029 1 3 1 4 1.000 1.183 -0.168 1 3 1 5 0.000 1.491 -1.221 1 3 1 6 4.000 3.466 0.287 1 3 2 1 5.000 3.036 1.127 1 3 2 2 5.000 5.999 -0.408 1 3 2 3 5.000 4.661 0.157 1 3 2 4 5.000 2.965 1.182 1 3 2 5 5.000 4.519 0.226 1 3 2 6 3.000 2.374 0.407 1 3 3 1 8.000 4.724 1.508 1 3 3 2 10.000 8.348 0.572 1 3 3 3 7.000 6.353 0.257 1 3 3 4 4.000 5.689 -0.708 1 3 3 5 1.000 2.209 -0.813 1 3 3 6 1.000 1.448 -0.372 1 3 4 1 12.000 12.550 -0.155 1 3 4 2 17.000 17.143 -0.035 1 3 4 3 15.000 12.065 0.845 1 3 4 4 13.000 16.246 -0.805 1 3 4 5 2.000 3.737 -0.898 1 3 4 6 2.000 3.002 -0.578 1 3 5 1 12.000 12.485 -0.137 1 3 5 2 17.000 20.054 -0.682 1 3 5 3 19.000 18.992 0.002 1 3 5 4 18.000 16.624 0.338 1 3 5 5 10.000 10.131 -0.041 1 3 5 6 4.000 3.576 0.224 1 3 6 1 31.000 34.661 -0.622 1 3 6 2 29.000 30.298 -0.236 1 3 6 3 25.000 26.770 -0.342 1 3 6 4 24.000 21.665 0.502 1 3 6 5 12.000 11.673 0.096 1 3 6 6 12.000 9.268 0.897 1 4 1 1 4.000 3.520 0.256 1 4 1 2 1.000 0.675 0.395 1 4 1 3 2.000 1.506 0.402 1 4 1 4 0.000 1.713 -1.309 1 4 1 5 4.000 4.873 -0.395 1 4 1 6 37.000 34.194 0.480 1 4 2 1 0.000 1.405 -1.185 1 4 2 2 4.000 3.085 0.521 1 4 2 3 0.000 3.469 -1.863 1 4 2 4 1.000 4.157 -1.548 1 4 2 5 8.000 14.300 -1.666 1 4 2 6 25.000 22.677 0.488 1 4 3 1 1.000 1.954 -0.683 1 4 3 2 3.000 3.838 -0.428 1 4 3 3 3.000 4.227 -0.597 1 4 3 4 7.000 7.131 -0.049 1 4 3 5 8.000 6.250 0.700 1 4 3 6 15.000 12.369 0.748 1 4 4 1 4.000 4.285 -0.138 1 4 4 2 4.000 6.505 -0.982 1 4 4 3 8.000 6.624 0.535 1 4 4 4 17.000 16.806 0.047 1 4 4 5 12.000 8.724 1.109 1 4 4 6 21.000 21.163 -0.035 1 4 5 1 3.000 3.330 -0.181 1 4 5 2 12.000 5.945 2.483 1 4 5 3 8.000 8.147 -0.052 1 4 5 4 11.000 13.436 -0.664 1 4 5 5 20.000 18.480 0.354 1 4 5 6 20.000 19.693 0.069 1 4 6 1 11.000 6.614 1.705 1 4 6 2 8.000 6.425 0.621 1 4 6 3 12.000 8.215 1.321 1 4 6 4 11.000 12.525 -0.431 1 4 6 5 12.000 15.231 -0.828 1 4 6 6 33.000 36.510 -0.581 2 1 1 1 69.000 65.988 0.371 2 1 1 2 6.000 8.570 -0.878 2 1 1 3 1.000 2.152 -0.785 2 1 1 4 1.000 3.121 -1.201 2 1 1 5 0.000 0.544 -0.738 2 1 1 6 0.000 0.053 -0.231 2 1 2 1 34.000 34.570 -0.097 2 1 2 2 20.000 20.309 -0.069 2 1 2 3 10.000 13.693 -0.998 2 1 2 4 3.000 10.086 -2.231 2 1 2 5 1.000 0.980 0.020 2 1 2 6 0.000 0.091 -0.302 2 1 3 1 43.000 41.744 0.194 2 1 3 2 24.000 24.971 -0.194 2 1 3 3 13.000 11.969 0.298 2 1 3 4 9.000 8.382 0.213 2 1 3 5 1.000 1.421 -0.353 2 1 3 6 0.000 0.081 -0.285 2 1 4 1 78.000 68.499 1.148 2 1 4 2 40.000 41.225 -0.191 2 1 4 3 20.000 23.263 -0.677 2 1 4 4 6.000 4.960 0.467 2 1 4 5 0.000 0.845 -0.919 2 1 4 6 1.000 0.051 4.193 2 1 5 1 32.000 39.904 -1.251 2 1 5 2 38.000 33.490 0.779 2 1 5 3 17.000 11.640 1.571 2 1 5 4 5.000 2.753 1.354 2 1 5 5 4.000 0.596 4.409 2 1 5 6 0.000 0.033 -0.181 2 1 6 1 5.000 13.982 -2.402 2 1 6 2 14.000 6.939 2.680 2 1 6 3 3.000 2.079 0.639 2 1 6 4 2.000 0.885 1.185 2 1 6 5 0.000 0.114 -0.337 2 1 6 6 0.000 0.015 -0.122 2 2 1 1 10.000 10.408 -0.126 2 2 1 2 5.000 1.795 2.392 2 2 1 3 2.000 1.217 0.709 2 2 1 4 11.000 9.688 0.421 2 2 1 5 16.000 15.059 0.242 2 2 1 6 28.000 28.696 -0.130 2 2 2 1 8.000 5.452 1.091 2 2 2 2 5.000 4.254 0.362 2 2 2 3 11.000 7.745 1.170 2 2 2 4 43.000 31.310 2.089 2 2 2 5 27.000 27.135 -0.026 2 2 2 6 38.000 49.091 -1.583 2 2 3 1 9.000 6.584 0.942 2 2 3 2 6.000 5.230 0.336 2 2 3 3 7.000 6.769 0.089 2 2 3 4 28.000 26.021 0.388 2 2 3 5 32.000 39.343 -1.171 2 2 3 6 45.000 43.855 0.173 2 2 4 1 8.000 10.804 -0.853 2 2 4 2 6.000 8.635 -0.897 2 2 4 3 14.000 13.157 0.232 2 2 4 4 19.000 15.398 0.918 2 2 4 5 23.000 23.396 -0.082 2 2 4 6 22.000 27.637 -1.072 2 2 5 1 4.000 6.294 -0.914 2 2 5 2 5.000 7.015 -0.761 2 2 5 3 7.000 6.583 0.162 2 2 5 4 6.000 8.545 -0.871 2 2 5 5 18.000 16.501 0.369 2 2 5 6 18.000 17.600 0.095 2 2 6 1 0.000 2.205 -1.485 2 2 6 2 1.000 1.453 -0.376 2 2 6 3 2.000 1.176 0.760 2 2 6 4 3.000 2.749 0.152 2 2 6 5 5.000 3.147 1.045 2 2 6 6 8.000 8.052 -0.018 2 3 1 1 4.000 8.614 -1.572 2 3 1 2 1.000 1.119 -0.112 2 3 1 3 0.000 0.281 -0.530 2 3 1 4 0.000 0.407 -0.638 2 3 1 5 0.000 0.071 -0.266 2 3 1 6 0.000 0.007 -0.083 2 3 2 1 5.000 5.222 -0.097 2 3 2 2 3.000 3.068 -0.039 2 3 2 3 2.000 2.068 -0.048 2 3 2 4 1.000 1.524 -0.424 2 3 2 5 0.000 0.148 -0.385 2 3 2 6 0.000 0.014 -0.117 2 3 3 1 8.000 10.512 -0.775 2 3 3 2 6.000 6.288 -0.115 2 3 3 3 3.000 3.014 -0.008 2 3 3 4 1.000 2.111 -0.765 2 3 3 5 0.000 0.358 -0.598 2 3 3 6 0.000 0.020 -0.143 2 3 4 1 36.000 41.423 -0.843 2 3 4 2 25.000 24.930 0.014 2 3 4 3 18.000 14.068 1.048 2 3 4 4 3.000 3.000 0.000 2 3 4 5 1.000 0.511 0.684 2 3 4 6 0.000 0.031 -0.176 2 3 5 1 83.000 74.388 0.998 2 3 5 2 69.000 62.431 0.831 2 3 5 3 26.000 21.699 0.923 2 3 5 4 6.000 5.132 0.383 2 3 5 5 1.000 1.111 -0.105 2 3 5 6 0.000 0.061 -0.247 2 3 6 1 127.000 120.158 0.624 2 3 6 2 50.000 59.631 -1.247 2 3 6 3 12.000 17.865 -1.388 2 3 6 4 7.000 7.609 -0.221 2 3 6 5 2.000 0.977 1.035 2 3 6 6 0.000 0.128 -0.358 2 4 1 1 5.000 2.990 1.163 2 4 1 2 0.000 0.516 -0.718 2 4 1 3 1.000 0.350 1.100 2 4 1 4 4.000 2.783 0.729 2 4 1 5 4.000 4.326 -0.157 2 4 1 6 9.000 8.244 0.263 2 4 2 1 0.000 1.755 -1.325 2 4 2 2 1.000 1.370 -0.316 2 4 2 3 3.000 2.493 0.321 2 4 2 4 6.000 10.080 -1.285 2 4 2 5 9.000 8.736 0.089 2 4 2 6 27.000 15.805 2.816 2 4 3 1 2.000 3.159 -0.652 2 4 3 2 3.000 2.510 0.309 2 4 3 3 2.000 3.248 -0.693 2 4 3 4 11.000 12.486 -0.420 2 4 3 5 27.000 18.878 1.869 2 4 3 6 20.000 21.043 -0.227 2 4 4 1 9.000 10.273 -0.397 2 4 4 2 12.000 8.211 1.322 2 4 4 3 11.000 12.511 -0.427 2 4 4 4 10.000 14.642 -1.213 2 4 4 5 23.000 22.248 0.160 2 4 4 6 31.000 26.280 0.921 2 4 5 1 16.000 14.414 0.418 2 4 5 2 7.000 16.065 -2.262 2 4 5 3 5.000 15.078 -2.595 2 4 5 4 19.000 19.570 -0.129 2 4 5 5 33.000 37.792 -0.779 2 4 5 6 40.000 40.307 -0.048 2 4 6 1 21.000 16.655 1.065 2 4 6 2 14.000 10.976 0.913 2 4 6 3 13.000 8.880 1.383 2 4 6 4 20.000 20.757 -0.166 2 4 6 5 21.000 23.763 -0.567 2 4 6 6 61.000 60.805 0.025 *** LOG-LINEAR PARAMETERS *** * TABLE SALH [or P(SALH)] * effect beta exp(beta) main 1.6577 5.2472 S 1 0.1711 1.1866 2 -0.1711 0.8427 A 1 -0.2194 0.8030 2 0.3108 1.3645 3 -0.4490 0.6383 4 0.3576 1.4299 L 1 -0.5926 0.5529 2 0.0281 1.0285 3 0.0716 1.0743 4 0.4234 1.5271 5 0.2759 1.3177 6 -0.2064 0.8135 H 1 -0.2705 0.7630 2 -0.4642 0.6286 3 -0.3776 0.6855 4 0.1862 1.2047 5 0.2991 1.3486 6 0.6270 1.8720 SA 1 1 0.2048 1.2273 1 2 -0.3925 0.6754 1 3 0.4809 1.6175 1 4 -0.2932 0.7459 2 1 -0.2048 0.8148 2 2 0.3925 1.4807 2 3 -0.4809 0.6182 2 4 0.2932 1.3407 SL 1 1 0.3678 1.4446 1 2 0.1961 1.2166 1 3 -0.0437 0.9573 1 4 -0.1078 0.8978 1 5 -0.2848 0.7522 1 6 -0.1277 0.8801 2 1 -0.3678 0.6922 2 2 -0.1961 0.8220 2 3 0.0437 1.0446 2 4 0.1078 1.1138 2 5 0.2848 1.3295 2 6 0.1277 1.1362 SH 1 1 -1.3901 0.2490 1 2 -0.9806 0.3751 1 3 -0.4996 0.6068 1 4 -0.0987 0.9060 1 5 0.7877 2.1984 1 6 2.1813 8.8577 2 1 1.3901 4.0154 2 2 0.9806 2.6660 2 3 0.4996 1.6481 2 4 0.0987 1.1037 2 5 -0.7877 0.4549 2 6 -2.1813 0.1129 LH 1 1 0.8302 2.2937 1 2 -0.7084 0.4924 1 3 -0.6856 0.5038 1 4 -0.3149 0.7298 1 5 0.1008 1.1060 1 6 0.7779 2.1770 2 1 -0.5651 0.5683 2 2 -0.1300 0.8781 2 3 0.0441 1.0450 2 4 0.1021 1.1075 2 5 0.3207 1.3781 2 6 0.2283 1.2564 3 1 -0.3213 0.7252 3 2 0.0670 1.0693 3 3 0.0600 1.0619 3 4 0.2639 1.3020 3 5 0.0771 1.0801 3 6 -0.1467 0.8636 4 1 0.0151 1.0153 4 2 0.2777 1.3200 4 3 0.3132 1.3678 4 4 0.1265 1.1348 4 5 -0.3197 0.7263 4 6 -0.4128 0.6618 5 1 -0.1719 0.8421 5 2 0.3380 1.4021 5 3 0.2797 1.3227 5 4 -0.0707 0.9317 5 5 0.0902 1.0943 5 6 -0.4652 0.6280 6 1 0.2129 1.2373 6 2 0.1558 1.1686 6 3 -0.0114 0.9886 6 4 -0.1068 0.8987 6 5 -0.2690 0.7641 6 6 0.0185 1.0187 SLH 1 1 1 0.0307 1.0311 1 1 2 -0.2118 0.8091 1 1 3 0.3019 1.3525 1 1 4 -0.3876 0.6787 1 1 5 -0.0925 0.9117 1 1 6 0.3593 1.4324 1 2 1 0.0095 1.0095 1 2 2 0.2314 1.2603 1 2 3 -0.0913 0.9127 1 2 4 -0.4161 0.6596 1 2 5 0.2662 1.3050 1 2 6 0.0004 1.0004 1 3 1 0.1204 1.1280 1 3 2 0.2774 1.3197 1 3 3 0.1150 1.1219 1 3 4 -0.0135 0.9866 1 3 5 -0.2932 0.7459 1 3 6 -0.2061 0.8137 1 4 1 -0.0126 0.9875 1 4 2 0.0126 1.0127 1 4 3 -0.2706 0.7629 1 4 4 0.3996 1.4912 1 4 5 -0.1445 0.8655 1 4 6 0.0154 1.0155 1 5 1 -0.1309 0.8773 1 5 2 -0.1909 0.8262 1 5 3 -0.0834 0.9200 1 5 4 0.3196 1.3766 1 5 5 0.1429 1.1536 1 5 6 -0.0575 0.9442 1 6 1 -0.0172 0.9830 1 6 2 -0.1188 0.8880 1 6 3 0.0284 1.0288 1 6 4 0.0980 1.1029 1 6 5 0.1211 1.1287 1 6 6 -0.1115 0.8945 2 1 1 -0.0307 0.9698 2 1 2 0.2118 1.2359 2 1 3 -0.3019 0.7394 2 1 4 0.3876 1.4735 2 1 5 0.0925 1.0969 2 1 6 -0.3593 0.6981 2 2 1 -0.0095 0.9906 2 2 2 -0.2314 0.7934 2 2 3 0.0913 1.0956 2 2 4 0.4161 1.5160 2 2 5 -0.2662 0.7663 2 2 6 -0.0004 0.9996 2 3 1 -0.1204 0.8865 2 3 2 -0.2774 0.7577 2 3 3 -0.1150 0.8914 2 3 4 0.0135 1.0136 2 3 5 0.2932 1.3408 2 3 6 0.2061 1.2289 2 4 1 0.0126 1.0126 2 4 2 -0.0126 0.9874 2 4 3 0.2706 1.3107 2 4 4 -0.3996 0.6706 2 4 5 0.1445 1.1554 2 4 6 -0.0154 0.9848 2 5 1 0.1309 1.1398 2 5 2 0.1909 1.2103 2 5 3 0.0834 1.0869 2 5 4 -0.3196 0.7264 2 5 5 -0.1429 0.8668 2 5 6 0.0575 1.0591 2 6 1 0.0172 1.0173 2 6 2 0.1188 1.1261 2 6 3 -0.0284 0.9720 2 6 4 -0.0980 0.9067 2 6 5 -0.1211 0.8860 2 6 6 0.1115 1.1179 type 2 association (group=S row=A column=L) association 3.3025 3.3025 row -0.4926 -0.4926 0.6139 0.3713 adj row 1 -0.8952 -0.8952 1.1156 0.6748 column -0.4188 -0.3788 -0.2390 0.0007 0.3088 0.7270 adj column 1 -0.7611 -0.6885 -0.4343 0.0014 0.5612 1.3212 type 2 association (group=S row=A column=H) association 7.9115 0.0000 row 1 -0.6679 -0.3340 -0.6066 -0.2727 2 0.4714 0.2357 0.7071 0.4714 adj row 1 -1.8787 -0.9394 -1.7063 -0.7669 2 -0.0000 -0.0000 -0.0000 -0.0000 column -0.4188 -0.3788 -0.2390 0.0007 0.3088 0.7270 adj column 1 -1.1780 -1.0656 -0.6722 0.0021 0.8687 2.0450 type 2 association (group=S row=A column=H) association 0.0000 7.1023 row 1 -0.5000 0.5000 -0.5000 0.5000 2 -0.5000 0.5000 -0.5000 0.5000 adj row 1 0.0000 -0.0000 0.0000 -0.0000 2 -1.3325 1.3325 -1.3325 1.3325 column -0.4188 -0.3788 -0.2390 0.0007 0.3088 0.7270 adj column 1 -0.0000 -0.0000 -0.0000 0.0000 0.0000 0.0000