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,3,0,2) ass2(A,H,S,5c,-2,0,-1) ass2(A,H,S,5c,2,0,-1)} des [ 1 1 2 3 1 2 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 = 266.2857 (0.0012) L-squared = 256.4086 (0.0043) Cressie-Read = 253.0268 (0.0066) Dissimilarity index = 0.0836 Degrees of freedom = 200 Log-likelihood = -17328.71528 Number of parameters = 87 (+1) Sample size = 3399.0 BIC(L-squared) = -1369.8387 AIC(L-squared) = -143.5914 BIC(log-likelihood) = 35364.8481 AIC(log-likelihood) = 34831.4306 WARNING: no information is provided on identification of parameters *** FREQUENCIES *** S A L H observed estimated std. res. 1 1 1 1 44.000 39.875 0.653 1 1 1 2 4.000 6.751 -1.059 1 1 1 3 9.000 9.727 -0.233 1 1 1 4 7.000 5.231 0.774 1 1 1 5 6.000 5.677 0.136 1 1 1 6 7.000 10.754 -1.145 1 1 2 1 13.000 14.202 -0.319 1 1 2 2 30.000 27.528 0.471 1 1 2 3 20.000 19.992 0.002 1 1 2 4 8.000 11.327 -0.988 1 1 2 5 14.000 14.864 -0.224 1 1 2 6 7.000 6.363 0.253 1 1 3 1 9.000 13.253 -1.168 1 1 3 2 23.000 22.974 0.005 1 1 3 3 17.000 16.340 0.163 1 1 3 4 17.000 13.030 1.100 1 1 3 5 3.000 4.355 -0.649 1 1 3 6 0.000 2.326 -1.525 1 1 4 1 16.000 14.640 0.355 1 1 4 2 17.000 19.616 -0.591 1 1 4 3 10.000 12.897 -0.807 1 1 4 4 20.000 15.462 1.154 1 1 4 5 2.000 3.059 -0.606 1 1 4 6 2.000 2.001 -0.001 1 1 5 1 5.000 4.689 0.143 1 1 5 2 4.000 7.388 -1.246 1 1 5 3 9.000 6.535 0.964 1 1 5 4 10.000 5.091 2.176 1 1 5 5 4.000 2.668 0.816 1 1 5 6 0.000 0.766 -0.875 1 1 6 1 3.000 2.778 0.133 1 1 6 2 3.000 2.382 0.401 1 1 6 3 0.000 1.966 -1.402 1 1 6 4 1.000 1.416 -0.349 1 1 6 5 4.000 0.656 4.129 1 1 6 6 1.000 0.424 0.885 1 2 1 1 7.000 12.341 -1.520 1 2 1 2 4.000 2.321 1.102 1 2 1 3 5.000 4.837 0.074 1 2 1 4 5.000 4.895 0.048 1 2 1 5 14.000 11.996 0.579 1 2 1 6 69.000 68.726 0.033 1 2 2 1 5.000 4.395 0.288 1 2 2 2 7.000 9.464 -0.801 1 2 2 3 13.000 9.941 0.970 1 2 2 4 15.000 10.599 1.352 1 2 2 5 38.000 31.412 1.176 1 2 2 6 37.000 40.664 -0.575 1 2 3 1 6.000 4.102 0.937 1 2 3 2 7.000 7.899 -0.320 1 2 3 3 8.000 8.125 -0.044 1 2 3 4 10.000 12.194 -0.628 1 2 3 5 10.000 9.204 0.263 1 2 3 6 15.000 14.864 0.035 1 2 4 1 4.000 4.531 -0.249 1 2 4 2 12.000 6.744 2.024 1 2 4 3 5.000 6.413 -0.558 1 2 4 4 13.000 14.469 -0.386 1 2 4 5 6.000 6.465 -0.183 1 2 4 6 14.000 12.787 0.339 1 2 5 1 2.000 1.451 0.455 1 2 5 2 3.000 2.540 0.289 1 2 5 3 1.000 3.250 -1.248 1 2 5 4 1.000 4.764 -1.724 1 2 5 5 3.000 5.637 -1.111 1 2 5 6 5.000 4.896 0.047 1 2 6 1 0.000 0.860 -0.927 1 2 6 2 0.000 0.819 -0.905 1 2 6 3 1.000 0.977 0.023 1 2 6 4 1.000 1.325 -0.282 1 2 6 5 1.000 1.386 -0.328 1 2 6 6 3.000 2.709 0.177 1 3 1 1 8.000 7.291 0.263 1 3 1 2 2.000 1.259 0.661 1 3 1 3 2.000 1.942 0.042 1 3 1 4 1.000 1.174 -0.160 1 3 1 5 0.000 1.481 -1.217 1 3 1 6 4.000 3.443 0.300 1 3 2 1 5.000 3.007 1.149 1 3 2 2 5.000 5.943 -0.387 1 3 2 3 5.000 4.621 0.176 1 3 2 4 5.000 2.943 1.199 1 3 2 5 5.000 4.491 0.240 1 3 2 6 3.000 2.359 0.417 1 3 3 1 8.000 4.696 1.524 1 3 3 2 10.000 8.301 0.590 1 3 3 3 7.000 6.321 0.270 1 3 3 4 4.000 5.667 -0.700 1 3 3 5 1.000 2.202 -0.810 1 3 3 6 1.000 1.443 -0.369 1 3 4 1 12.000 12.537 -0.152 1 3 4 2 17.000 17.127 -0.031 1 3 4 3 15.000 12.057 0.847 1 3 4 4 13.000 16.249 -0.806 1 3 4 5 2.000 3.738 -0.899 1 3 4 6 2.000 3.001 -0.578 1 3 5 1 12.000 12.515 -0.146 1 3 5 2 17.000 20.104 -0.692 1 3 5 3 19.000 19.040 -0.009 1 3 5 4 18.000 16.674 0.325 1 3 5 5 10.000 10.159 -0.050 1 3 5 6 4.000 3.580 0.222 1 3 6 1 31.000 34.733 -0.633 1 3 6 2 29.000 30.362 -0.247 1 3 6 3 25.000 26.829 -0.353 1 3 6 4 24.000 21.723 0.489 1 3 6 5 12.000 11.704 0.087 1 3 6 6 12.000 9.282 0.892 1 4 1 1 4.000 3.494 0.271 1 4 1 2 1.000 0.670 0.403 1 4 1 3 2.000 1.495 0.413 1 4 1 4 0.000 1.701 -1.304 1 4 1 5 4.000 4.846 -0.384 1 4 1 6 37.000 34.077 0.501 1 4 2 1 0.000 1.396 -1.181 1 4 2 2 4.000 3.064 0.535 1 4 2 3 0.000 3.446 -1.856 1 4 2 4 1.000 4.131 -1.540 1 4 2 5 8.000 14.233 -1.652 1 4 2 6 25.000 22.614 0.502 1 4 3 1 1.000 1.949 -0.680 1 4 3 2 3.000 3.826 -0.422 1 4 3 3 3.000 4.214 -0.591 1 4 3 4 7.000 7.109 -0.041 1 4 3 5 8.000 6.239 0.705 1 4 3 6 15.000 12.367 0.749 1 4 4 1 4.000 4.292 -0.141 1 4 4 2 4.000 6.513 -0.985 1 4 4 3 8.000 6.632 0.531 1 4 4 4 17.000 16.819 0.044 1 4 4 5 12.000 8.738 1.104 1 4 4 6 21.000 21.212 -0.046 1 4 5 1 3.000 3.344 -0.188 1 4 5 2 12.000 5.968 2.469 1 4 5 3 8.000 8.175 -0.061 1 4 5 4 11.000 13.472 -0.673 1 4 5 5 20.000 18.536 0.340 1 4 5 6 20.000 19.758 0.054 1 4 6 1 11.000 6.629 1.697 1 4 6 2 8.000 6.438 0.616 1 4 6 3 12.000 8.228 1.315 1 4 6 4 11.000 12.537 -0.434 1 4 6 5 12.000 15.254 -0.833 1 4 6 6 33.000 36.585 -0.593 2 1 1 1 69.000 65.860 0.387 2 1 1 2 6.000 8.555 -0.873 2 1 1 3 1.000 2.148 -0.783 2 1 1 4 1.000 3.118 -1.200 2 1 1 5 0.000 0.541 -0.736 2 1 1 6 0.000 0.052 -0.229 2 1 2 1 34.000 34.502 -0.086 2 1 2 2 20.000 20.272 -0.060 2 1 2 3 10.000 13.670 -0.993 2 1 2 4 3.000 10.078 -2.230 2 1 2 5 1.000 0.976 0.025 2 1 2 6 0.000 0.090 -0.300 2 1 3 1 43.000 41.660 0.208 2 1 3 2 24.000 24.925 -0.185 2 1 3 3 13.000 11.949 0.304 2 1 3 4 9.000 8.378 0.215 2 1 3 5 1.000 1.415 -0.349 2 1 3 6 0.000 0.080 -0.283 2 1 4 1 78.000 68.445 1.155 2 1 4 2 40.000 41.200 -0.187 2 1 4 3 20.000 23.257 -0.675 2 1 4 4 6.000 4.966 0.464 2 1 4 5 0.000 0.843 -0.918 2 1 4 6 1.000 0.051 4.218 2 1 5 1 32.000 40.023 -1.268 2 1 5 2 38.000 33.594 0.760 2 1 5 3 17.000 11.678 1.557 2 1 5 4 5.000 2.765 1.344 2 1 5 5 4.000 0.596 4.407 2 1 5 6 0.000 0.032 -0.180 2 1 6 1 5.000 14.138 -2.430 2 1 6 2 14.000 7.016 2.636 2 1 6 3 3.000 2.101 0.620 2 1 6 4 2.000 0.895 1.169 2 1 6 5 0.000 0.114 -0.338 2 1 6 6 0.000 0.015 -0.122 2 2 1 1 10.000 10.397 -0.123 2 2 1 2 5.000 1.792 2.396 2 2 1 3 2.000 1.215 0.712 2 2 1 4 11.000 9.670 0.428 2 2 1 5 16.000 15.037 0.248 2 2 1 6 28.000 28.652 -0.122 2 2 2 1 8.000 5.447 1.094 2 2 2 2 5.000 4.247 0.366 2 2 2 3 11.000 7.732 1.175 2 2 2 4 43.000 31.255 2.101 2 2 2 5 27.000 27.098 -0.019 2 2 2 6 38.000 49.020 -1.574 2 2 3 1 9.000 6.576 0.945 2 2 3 2 6.000 5.221 0.341 2 2 3 3 7.000 6.758 0.093 2 2 3 4 28.000 25.982 0.396 2 2 3 5 32.000 39.303 -1.165 2 2 3 6 45.000 43.808 0.180 2 2 4 1 8.000 10.805 -0.853 2 2 4 2 6.000 8.630 -0.895 2 2 4 3 14.000 13.154 0.233 2 2 4 4 19.000 15.401 0.917 2 2 4 5 23.000 23.414 -0.086 2 2 4 6 22.000 27.658 -1.076 2 2 5 1 4.000 6.318 -0.922 2 2 5 2 5.000 7.037 -0.768 2 2 5 3 7.000 6.605 0.154 2 2 5 4 6.000 8.574 -0.879 2 2 5 5 18.000 16.565 0.352 2 2 5 6 18.000 17.667 0.079 2 2 6 1 0.000 2.232 -1.494 2 2 6 2 1.000 1.470 -0.388 2 2 6 3 2.000 1.188 0.745 2 2 6 4 3.000 2.774 0.136 2 2 6 5 5.000 3.175 1.024 2 2 6 6 8.000 8.122 -0.043 2 3 1 1 4.000 8.735 -1.602 2 3 1 2 1.000 1.135 -0.126 2 3 1 3 0.000 0.285 -0.534 2 3 1 4 0.000 0.414 -0.643 2 3 1 5 0.000 0.072 -0.268 2 3 1 6 0.000 0.007 -0.083 2 3 2 1 5.000 5.287 -0.125 2 3 2 2 3.000 3.106 -0.060 2 3 2 3 2.000 2.095 -0.065 2 3 2 4 1.000 1.544 -0.438 2 3 2 5 0.000 0.150 -0.387 2 3 2 6 0.000 0.014 -0.117 2 3 3 1 8.000 10.598 -0.798 2 3 3 2 6.000 6.341 -0.135 2 3 3 3 3.000 3.040 -0.023 2 3 3 4 1.000 2.131 -0.775 2 3 3 5 0.000 0.360 -0.600 2 3 3 6 0.000 0.020 -0.143 2 3 4 1 36.000 41.492 -0.853 2 3 4 2 25.000 24.975 0.005 2 3 4 3 18.000 14.099 1.039 2 3 4 4 3.000 3.010 -0.006 2 3 4 5 1.000 0.511 0.684 2 3 4 6 0.000 0.031 -0.175 2 3 5 1 83.000 74.268 1.013 2 3 5 2 69.000 62.339 0.844 2 3 5 3 26.000 21.671 0.930 2 3 5 4 6.000 5.131 0.384 2 3 5 5 1.000 1.107 -0.101 2 3 5 6 0.000 0.060 -0.245 2 3 6 1 127.000 119.941 0.645 2 3 6 2 50.000 59.523 -1.234 2 3 6 3 12.000 17.824 -1.380 2 3 6 4 7.000 7.589 -0.214 2 3 6 5 2.000 0.970 1.046 2 3 6 6 0.000 0.126 -0.355 2 4 1 1 5.000 3.008 1.149 2 4 1 2 0.000 0.518 -0.720 2 4 1 3 1.000 0.352 1.094 2 4 1 4 4.000 2.798 0.719 2 4 1 5 4.000 4.350 -0.168 2 4 1 6 9.000 8.289 0.247 2 4 2 1 0.000 1.764 -1.328 2 4 2 2 1.000 1.375 -0.320 2 4 2 3 3.000 2.504 0.313 2 4 2 4 6.000 10.123 -1.296 2 4 2 5 9.000 8.776 0.075 2 4 2 6 27.000 15.876 2.792 2 4 3 1 2.000 3.166 -0.655 2 4 3 2 3.000 2.514 0.307 2 4 3 3 2.000 3.254 -0.695 2 4 3 4 11.000 12.509 -0.427 2 4 3 5 27.000 18.922 1.857 2 4 3 6 20.000 21.091 -0.238 2 4 4 1 9.000 10.259 -0.393 2 4 4 2 12.000 8.195 1.329 2 4 4 3 11.000 12.490 -0.422 2 4 4 4 10.000 14.623 -1.209 2 4 4 5 23.000 22.232 0.163 2 4 4 6 31.000 26.261 0.925 2 4 5 1 16.000 14.391 0.424 2 4 5 2 7.000 16.029 -2.255 2 4 5 3 5.000 15.045 -2.590 2 4 5 4 19.000 19.530 -0.120 2 4 5 5 33.000 37.731 -0.770 2 4 5 6 40.000 40.241 -0.038 2 4 6 1 21.000 16.689 1.055 2 4 6 2 14.000 10.990 0.908 2 4 6 3 13.000 8.886 1.380 2 4 6 4 20.000 20.743 -0.163 2 4 6 5 21.000 23.741 -0.563 2 4 6 6 61.000 60.736 0.034 *** LOG-LINEAR PARAMETERS *** * TABLE SALH [or P(SALH)] * effect beta exp(beta) main 1.6567 5.2417 S 1 0.1687 1.1838 2 -0.1687 0.8448 A 1 -0.2212 0.8015 2 0.3102 1.3637 3 -0.4477 0.6391 4 0.3587 1.4315 L 1 -0.5915 0.5535 2 0.0292 1.0296 3 0.0726 1.0753 4 0.4240 1.5280 5 0.2754 1.3170 6 -0.2096 0.8109 H 1 -0.2688 0.7643 2 -0.4630 0.6294 3 -0.3769 0.6860 4 0.1861 1.2045 5 0.2982 1.3474 6 0.6244 1.8672 SA 1 1 0.2052 1.2278 1 2 -0.3933 0.6748 1 3 0.4802 1.6165 1 4 -0.2922 0.7466 2 1 -0.2052 0.8145 2 2 0.3933 1.4818 2 3 -0.4802 0.6186 2 4 0.2922 1.3393 SL 1 1 0.3674 1.4440 1 2 0.1961 1.2167 1 3 -0.0421 0.9588 1 4 -0.1050 0.9003 1 5 -0.2838 0.7529 1 6 -0.1327 0.8758 2 1 -0.3674 0.6925 2 2 -0.1961 0.8219 2 3 0.0421 1.0430 2 4 0.1050 1.1107 2 5 0.2838 1.3281 2 6 0.1327 1.1419 SH 1 1 -1.3897 0.2491 1 2 -0.9804 0.3752 1 3 -0.5000 0.6065 1 4 -0.1003 0.9046 1 5 0.7871 2.1971 1 6 2.1832 8.8749 2 1 1.3897 4.0137 2 2 0.9804 2.6655 2 3 0.5000 1.6487 2 4 0.1003 1.1055 2 5 -0.7871 0.4551 2 6 -2.1832 0.1127 LH 1 1 0.8297 2.2927 1 2 -0.7088 0.4922 1 3 -0.6858 0.5037 1 4 -0.3149 0.7298 1 5 0.1011 1.1064 1 6 0.7787 2.1786 2 1 -0.5655 0.5681 2 2 -0.1304 0.8777 2 3 0.0438 1.0448 2 4 0.1021 1.1075 2 5 0.3211 1.3786 2 6 0.2290 1.2573 3 1 -0.3217 0.7250 3 2 0.0666 1.0689 3 3 0.0599 1.0617 3 4 0.2640 1.3021 3 5 0.0774 1.0805 3 6 -0.1462 0.8640 4 1 0.0150 1.0151 4 2 0.2775 1.3199 4 3 0.3132 1.3678 4 4 0.1267 1.1350 4 5 -0.3196 0.7265 4 6 -0.4128 0.6618 5 1 -0.1715 0.8424 5 2 0.3383 1.4025 5 3 0.2799 1.3229 5 4 -0.0706 0.9318 5 5 0.0899 1.0941 5 6 -0.4659 0.6276 6 1 0.2140 1.2386 6 2 0.1568 1.1697 6 3 -0.0109 0.9891 6 4 -0.1072 0.8984 6 5 -0.2699 0.7635 6 6 0.0172 1.0174 SLH 1 1 1 0.0303 1.0307 1 1 2 -0.2122 0.8088 1 1 3 0.3017 1.3521 1 1 4 -0.3876 0.6787 1 1 5 -0.0922 0.9119 1 1 6 0.3601 1.4334 1 2 1 0.0091 1.0092 1 2 2 0.2311 1.2599 1 2 3 -0.0915 0.9125 1 2 4 -0.4161 0.6596 1 2 5 0.2664 1.3053 1 2 6 0.0010 1.0010 1 3 1 0.1204 1.1279 1 3 2 0.2774 1.3197 1 3 3 0.1150 1.1218 1 3 4 -0.0136 0.9865 1 3 5 -0.2932 0.7459 1 3 6 -0.2060 0.8139 1 4 1 -0.0121 0.9880 1 4 2 0.0131 1.0132 1 4 3 -0.2703 0.7631 1 4 4 0.3995 1.4910 1 4 5 -0.1449 0.8651 1 4 6 0.0147 1.0148 1 5 1 -0.1303 0.8779 1 5 2 -0.1903 0.8267 1 5 3 -0.0830 0.9203 1 5 4 0.3196 1.3766 1 5 5 0.1425 1.1531 1 5 6 -0.0584 0.9433 1 6 1 -0.0174 0.9827 1 6 2 -0.1190 0.8878 1 6 3 0.0282 1.0286 1 6 4 0.0982 1.1032 1 6 5 0.1214 1.1291 1 6 6 -0.1114 0.8946 2 1 1 -0.0303 0.9702 2 1 2 0.2122 1.2364 2 1 3 -0.3017 0.7396 2 1 4 0.3876 1.4735 2 1 5 0.0922 1.0966 2 1 6 -0.3601 0.6976 2 2 1 -0.0091 0.9909 2 2 2 -0.2311 0.7937 2 2 3 0.0915 1.0958 2 2 4 0.4161 1.5160 2 2 5 -0.2664 0.7661 2 2 6 -0.0010 0.9990 2 3 1 -0.1204 0.8866 2 3 2 -0.2774 0.7578 2 3 3 -0.1150 0.8914 2 3 4 0.0136 1.0137 2 3 5 0.2932 1.3407 2 3 6 0.2060 1.2287 2 4 1 0.0121 1.0122 2 4 2 -0.0131 0.9870 2 4 3 0.2703 1.3104 2 4 4 -0.3995 0.6707 2 4 5 0.1449 1.1559 2 4 6 -0.0147 0.9854 2 5 1 0.1303 1.1391 2 5 2 0.1903 1.2097 2 5 3 0.0830 1.0866 2 5 4 -0.3196 0.7265 2 5 5 -0.1425 0.8672 2 5 6 0.0584 1.0601 2 6 1 0.0174 1.0176 2 6 2 0.1190 1.1264 2 6 3 -0.0282 0.9722 2 6 4 -0.0982 0.9064 2 6 5 -0.1214 0.8857 2 6 6 0.1114 1.1179 type 2 association (group=S row=A column=L) association 3.3343 3.2815 row -0.4927 -0.4927 0.6132 0.3722 adj row 1 -0.8996 -0.8996 1.1196 0.6797 column -0.4185 -0.3787 -0.2390 0.0003 0.3086 0.7274 adj column 1 -0.7642 -0.6915 -0.4365 0.0005 0.5634 1.3282 type 2 association (group=S row=A column=H) association 7.9082 0.0000 row 1 -0.6682 -0.3341 -0.6064 -0.2723 2 0.4714 0.2357 0.7071 0.4714 adj row 1 -1.8792 -0.9396 -1.7053 -0.7657 2 -0.0000 -0.0000 -0.0000 -0.0000 column -0.4185 -0.3787 -0.2390 0.0003 0.3086 0.7274 adj column 1 -1.1769 -1.0650 -0.6722 0.0007 0.8677 2.0455 type 2 association (group=S row=A column=H) association 0.0000 7.1111 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 -1.3333 1.3333 -1.3333 1.3333 column -0.4185 -0.3787 -0.2390 0.0003 0.3086 0.7274 adj column 1 -0.0000 -0.0000 -0.0000 0.0000 0.0000 0.0000