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 HCG/LMA (use formula for margin and multiply by 10000000 * ssq=.2 * ssq=.2; * uA= -.90 nuA = 1/sqrt(2) * uB= .50 nuB = 1.500 * uC= -.20 nuC = .5000 * uD= .30 nuD = .8000 * uE= -.40 nuE = .9000 * uF= .50 nuF = .2000 * uG= -.70 nuG = .4000 * * * Note LEM=gen as follows A=A, B=C, C=D, D=E, F=G man 6 dim 2 2 2 2 2 2 lab A B C D E F mod {A B C D E F ass2(A,B,-,7a) ass2(A,C,-,7a) ass2(A,D,-,7a) ass2(A,E,-,7a) ass2(A,F,-,7a) ass2(B,C,-,7a) ass2(B,D,-,7a) ass2(B,E,-,7a) ass2(B,F,-,7a) ass2(C,D,-,7a) ass2(C,E,-,7a) ass2(C,F,-,7a) ass2(D,E,-,7a) ass2(D,F,-,7a) ass2(E,F,-,7a)} ass_equ [ 1 2 7 1 3 7 1 4 7 1 5 7 1 6 7 2 3 7 2 4 7 2 5 7 2 6 7 3 4 7 3 5 7 3 6 7 4 5 7 4 6 7 5 6 7 ] ass_res [ 0 2 3 0 2 3 0 2 3 0 2 3 0 2 3 2 2 3 2 2 3 2 2 3 2 2 3 2 2 3 2 2 3 2 2 3 2 2 3 2 2 3 2 2 3 ] ass_phi [ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ] nco dat [ 6893.913 938.1804 13618.29 2025.914 1048.014 215.117 2539.739 571.4613 4580.037 897.6229 10844.79 2330.951 1587.602 465.5467 4607.351 1468.611 2260.113 385.5428 4993.296 934.3178 574.8053 148.0153 1561.744 438.8228 2371.272 584.0463 6299.319 1694.95 1356.404 487.6179 4365.513 1695.206 450.0373 84.48621 1042.917 214.7742 141.7921 39.96303 403.2956 123.7062 571.4687 154.2417 1590.12 467.6903 398.7043 155.2423 1336.26 560.7457 220.8185 52.16239 574.3532 148.3642 115.331 39.96933 364.3449 136.542 440.5195 146.6751 1363.636 491.5826 484.2352 226.5605 1781.072 894.2654 ] *** STATISTICS *** Number of iterations = 182 Converge criterion = 0.0000009706 X-squared = 11.7733 (1.0000) L-squared = 11.7996 (1.0000) Cressie-Read = 11.7818 (1.0000) Dissimilarity index = 0.0035 Degrees of freedom = 51 Log-likelihood = -340187.87943 Number of parameters = 12 (+1) Sample size = 100000.0 BIC(L-squared) = -575.3596 AIC(L-squared) = -90.2004 BIC(log-likelihood) = 680513.9140 AIC(log-likelihood) = 680399.7589 WARNING: no information is provided on identification of parameters *** FREQUENCIES *** A B C D E F observed estimated std. res. 1 1 1 1 1 1 6893.913 6838.839 0.666 1 1 1 1 1 2 938.180 946.319 -0.265 1 1 1 1 2 1 13618.290 13553.799 0.554 1 1 1 1 2 2 2025.914 2044.728 -0.416 1 1 1 2 1 1 1048.014 1069.237 -0.649 1 1 1 2 1 2 215.117 217.171 -0.139 1 1 1 2 2 1 2539.739 2577.516 -0.744 1 1 1 2 2 2 571.461 570.755 0.030 1 1 2 1 1 1 4580.037 4582.644 -0.039 1 1 2 1 1 2 897.623 902.913 -0.176 1 1 2 1 2 1 10844.790 10876.985 -0.309 1 1 2 1 2 2 2330.951 2336.457 -0.114 1 1 2 2 1 1 1587.602 1596.261 -0.217 1 1 2 2 1 2 465.547 461.644 0.182 1 1 2 2 2 1 4607.351 4608.344 -0.015 1 1 2 2 2 2 1468.611 1453.007 0.409 1 2 1 1 1 1 2260.113 2271.081 -0.230 1 2 1 1 1 2 385.543 389.459 -0.198 1 2 1 1 2 1 4993.296 5021.753 -0.402 1 2 1 1 2 2 934.318 938.867 -0.148 1 2 1 2 1 1 574.805 577.472 -0.111 1 2 1 2 1 2 148.015 145.356 0.221 1 2 1 2 2 1 1561.744 1553.110 0.219 1 2 1 2 2 2 438.823 426.211 0.611 1 2 2 1 1 1 2371.272 2381.484 -0.209 1 2 2 1 1 2 584.046 581.503 0.105 1 2 2 1 2 1 6299.319 6306.438 -0.090 1 2 2 1 2 2 1694.950 1678.833 0.393 1 2 2 2 1 1 1356.404 1349.093 0.199 1 2 2 2 1 2 487.618 483.525 0.186 1 2 2 2 2 1 4365.513 4345.372 0.306 1 2 2 2 2 2 1695.206 1697.946 -0.066 2 1 1 1 1 1 450.037 464.849 -0.687 2 1 1 1 1 2 84.486 86.397 -0.206 2 1 1 1 2 1 1042.917 1070.958 -0.857 2 1 1 1 2 2 214.774 217.009 -0.152 2 1 1 2 1 1 141.792 141.857 -0.005 2 1 1 2 1 2 39.963 38.700 0.203 2 1 1 2 2 1 403.296 397.521 0.290 2 1 1 2 2 2 123.706 118.233 0.503 2 1 2 1 1 1 571.469 576.624 -0.215 2 1 2 1 1 2 154.242 152.600 0.133 2 1 2 1 2 1 1590.120 1590.987 -0.022 2 1 2 1 2 2 467.690 459.036 0.404 2 1 2 2 1 1 398.704 392.037 0.337 2 1 2 2 1 2 155.242 152.287 0.240 2 1 2 2 2 1 1336.260 1315.678 0.567 2 1 2 2 2 2 560.746 557.190 0.151 2 2 1 1 1 1 220.819 224.351 -0.236 2 2 1 1 1 2 52.162 51.676 0.068 2 2 1 1 2 1 574.353 576.677 -0.097 2 2 1 1 2 2 148.364 144.815 0.295 2 2 1 2 1 1 115.331 111.346 0.378 2 2 1 2 1 2 39.969 37.645 0.379 2 2 1 2 2 1 364.345 348.118 0.870 2 2 1 2 2 2 136.542 128.316 0.726 2 2 2 1 1 1 440.519 435.502 0.240 2 2 2 1 1 2 146.675 142.832 0.322 2 2 2 1 2 1 1363.636 1340.627 0.628 2 2 2 1 2 2 491.583 479.361 0.558 2 2 2 2 1 1 484.235 481.539 0.123 2 2 2 2 1 2 226.560 231.814 -0.345 2 2 2 2 2 1 1781.072 1803.008 -0.517 2 2 2 2 2 2 894.265 946.293 -1.691 *** LOG-LINEAR PARAMETERS *** * TABLE ABCDEF [or P(ABCDEF)] * effect beta exp(beta) main 6.5007 665.6225 A 1 0.8183 2.2667 2 -0.8183 0.4412 B 1 0.1432 1.1539 2 -0.1432 0.8666 C 1 -0.3994 0.6707 2 0.3994 1.4910 D 1 0.2939 1.3416 2 -0.2939 0.7454 E 1 -0.5227 0.5929 2 0.5227 1.6865 F 1 0.6556 1.9263 2 -0.6556 0.5191 type 2 association (row=A column=B slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.5142 0.5142 adj column -0.5142 0.5142 slab 0.2571 adj slab 0.2571 type 2 association (row=A column=C slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.8470 0.8470 adj column -0.8470 0.8470 slab 0.2571 adj slab 0.2571 type 2 association (row=A column=D slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.9198 0.9198 adj column -0.9198 0.9198 slab 0.2571 adj slab 0.2571 type 2 association (row=A column=E slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.2071 0.2071 adj column -0.2071 0.2071 slab 0.2571 adj slab 0.2571 type 2 association (row=A column=F slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.4058 0.4058 adj column -0.4058 0.4058 slab 0.2571 adj slab 0.2571 type 2 association (row=B column=C slab=) association 1.0000 row -0.5142 0.5142 adj row -0.5142 0.5142 column -0.8470 0.8470 adj column -0.8470 0.8470 slab 0.2571 adj slab 0.2571 type 2 association (row=B column=D slab=) association 1.0000 row -0.5142 0.5142 adj row -0.5142 0.5142 column -0.9198 0.9198 adj column -0.9198 0.9198 slab 0.2571 adj slab 0.2571 type 2 association (row=B column=E slab=) association 1.0000 row -0.5142 0.5142 adj row -0.5142 0.5142 column -0.2071 0.2071 adj column -0.2071 0.2071 slab 0.2571 adj slab 0.2571 type 2 association (row=B column=F slab=) association 1.0000 row -0.5142 0.5142 adj row -0.5142 0.5142 column -0.4058 0.4058 adj column -0.4058 0.4058 slab 0.2571 adj slab 0.2571 type 2 association (row=C column=D slab=) association 1.0000 row -0.8470 0.8470 adj row -0.8470 0.8470 column -0.9198 0.9198 adj column -0.9198 0.9198 slab 0.2571 adj slab 0.2571 type 2 association (row=C column=E slab=) association 1.0000 row -0.8470 0.8470 adj row -0.8470 0.8470 column -0.2071 0.2071 adj column -0.2071 0.2071 slab 0.2571 adj slab 0.2571 type 2 association (row=C column=F slab=) association 1.0000 row -0.8470 0.8470 adj row -0.8470 0.8470 column -0.4058 0.4058 adj column -0.4058 0.4058 slab 0.2571 adj slab 0.2571 type 2 association (row=D column=E slab=) association 1.0000 row -0.9198 0.9198 adj row -0.9198 0.9198 column -0.2071 0.2071 adj column -0.2071 0.2071 slab 0.2571 adj slab 0.2571 type 2 association (row=D column=F slab=) association 1.0000 row -0.9198 0.9198 adj row -0.9198 0.9198 column -0.4058 0.4058 adj column -0.4058 0.4058 slab 0.2571 adj slab 0.2571 type 2 association (row=E column=F slab=) association 1.0000 row -0.2071 0.2071 adj row -0.2071 0.2071 column -0.4058 0.4058 adj column -0.4058 0.4058 slab 0.2571 adj slab 0.2571