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 *** * ANES data: item1 x item2 x item3 x item4 * * * LMA2: one dimensional * * man 4 dim 4 4 3 3 lab A B C D mod { A B C D ass2(A,B,-,7a) ass2(A,C,-,7a) ass2(A,D,-,7a) ass2(B,C,-,7a) ass2(B,D,-,7a) ass2(C,D,-,7a) } ass_equ [ 1 2 5 1 3 5 1 4 5 2 3 5 2 4 5 3 4 5 ] ass_res [ 0 2 3 0 2 3 0 2 3 2 2 3 2 2 3 2 2 3 ] ass_phi [ 1 1 1 1 1 1 ] nco dlk dat[ 11 2 3 1 2 1 0 0 5 9 2 0 4 1 0 1 0 4 17 7 4 9 7 2 3 0 8 1 0 0 0 0 0 0 0 2 53 11 5 11 5 1 3 1 9 27 10 4 8 6 0 1 1 5 34 31 9 15 16 4 6 1 28 5 3 4 1 0 1 0 0 5 330 52 14 40 16 1 2 0 12 50 16 3 9 7 0 1 1 7 43 16 5 8 3 1 1 1 7 17 0 4 1 1 0 0 0 12 2 0 2 1 0 1 0 0 0 3 0 0 0 1 0 0 0 2 3 0 4 0 0 0 0 0 7 8 0 3 0 2 1 0 1 24 ] *** STATISTICS *** Number of iterations = 199 Converge criterion = 0.0000009658 X-squared = 488.2032 (0.0000) L-squared = 380.6262 (0.0000) Cressie-Read = 423.3600 (0.0000) Dissimilarity index = 0.1935 Degrees of freedom = 123 Log-likelihood = -4259.09351 Number of parameters = 20 (+1) Sample size = 1176.0 BIC(L-squared) = -488.9683 AIC(L-squared) = 134.6262 BIC(log-likelihood) = 8659.5845 AIC(log-likelihood) = 8558.1870 WARNING: no information is provided on identification of parameters *** FREQUENCIES *** A B C D observed estimated std. res. 1 1 1 1 11.000 22.435 -2.414 1 1 1 2 2.000 6.536 -1.774 1 1 1 3 3.000 2.220 0.523 1 1 2 1 1.000 4.621 -1.684 1 1 2 2 2.000 1.691 0.237 1 1 2 3 1.000 0.920 0.083 1 1 3 1 0.000 0.727 -0.853 1 1 3 2 0.000 0.586 -0.766 1 1 3 3 5.000 1.629 2.642 1 2 1 1 9.000 6.597 0.935 1 2 1 2 2.000 2.533 -0.335 1 2 1 3 0.000 1.521 -1.233 1 2 2 1 4.000 1.623 1.865 1 2 2 2 1.000 0.783 0.245 1 2 2 3 0.000 0.753 -0.868 1 2 3 1 1.000 0.473 0.767 1 2 3 2 0.000 0.502 -0.709 1 2 3 3 4.000 2.466 0.977 1 3 1 1 17.000 9.145 2.597 1 3 1 2 7.000 4.142 1.404 1 3 1 3 4.000 3.496 0.270 1 3 2 1 9.000 2.503 4.107 1 3 2 2 7.000 1.424 4.672 1 3 2 3 2.000 1.925 0.054 1 3 3 1 3.000 1.053 1.897 1 3 3 2 0.000 1.321 -1.149 1 3 3 3 8.000 9.112 -0.368 1 4 1 1 1.000 1.767 -0.577 1 4 1 2 0.000 0.995 -0.998 1 4 1 3 0.000 1.317 -1.148 1 4 2 1 0.000 0.557 -0.746 1 4 2 2 0.000 0.394 -0.628 1 4 2 3 0.000 0.835 -0.914 1 4 3 1 0.000 0.381 -0.617 1 4 3 2 0.000 0.594 -0.771 1 4 3 3 2.000 6.423 -1.745 2 1 1 1 53.000 75.662 -2.605 2 1 1 2 11.000 21.215 -2.218 2 1 1 3 5.000 6.660 -0.643 2 1 2 1 11.000 15.206 -1.078 2 1 2 2 5.000 5.357 -0.154 2 1 2 3 1.000 2.693 -1.032 2 1 3 1 3.000 2.197 0.542 2 1 3 2 1.000 1.706 -0.540 2 1 3 3 9.000 4.378 2.209 2 2 1 1 27.000 21.597 1.163 2 2 1 2 10.000 7.981 0.715 2 2 1 3 4.000 4.428 -0.203 2 2 2 1 8.000 5.185 1.236 2 2 2 2 6.000 2.407 2.316 2 2 2 3 0.000 2.139 -1.463 2 2 3 1 1.000 1.386 -0.328 2 2 3 2 1.000 1.418 -0.351 2 2 3 3 5.000 6.433 -0.565 2 3 1 1 34.000 29.409 0.847 2 3 1 2 31.000 12.819 5.078 2 3 1 3 9.000 10.001 -0.316 2 3 2 1 15.000 7.853 2.550 2 3 2 2 16.000 4.301 5.641 2 3 2 3 4.000 5.373 -0.593 2 3 3 1 6.000 3.034 1.702 2 3 3 2 1.000 3.663 -1.391 2 3 3 3 28.000 23.356 0.961 2 4 1 1 5.000 5.551 -0.234 2 4 1 2 3.000 3.009 -0.005 2 4 1 3 4.000 3.680 0.167 2 4 2 1 1.000 1.706 -0.540 2 4 2 2 0.000 1.162 -1.078 2 4 2 3 1.000 2.276 -0.846 2 4 3 1 0.000 1.072 -1.035 2 4 3 2 0.000 1.608 -1.268 2 4 3 3 5.000 16.080 -2.763 3 1 1 1 330.000 279.050 3.050 3 1 1 2 52.000 55.673 -0.492 3 1 1 3 14.000 8.662 1.814 3 1 2 1 40.000 45.041 -0.751 3 1 2 2 16.000 11.291 1.401 3 1 2 3 1.000 2.813 -1.081 3 1 3 1 2.000 3.048 -0.600 3 1 3 2 0.000 1.684 -1.298 3 1 3 3 12.000 2.141 6.737 3 2 1 1 50.000 61.108 -1.421 3 2 1 2 16.000 16.068 -0.017 3 2 1 3 3.000 4.418 -0.675 3 2 2 1 9.000 11.783 -0.811 3 2 2 2 7.000 3.893 1.575 3 2 2 3 0.000 1.714 -1.309 3 2 3 1 1.000 1.475 -0.391 3 2 3 2 1.000 1.074 -0.071 3 2 3 3 7.000 2.414 2.951 3 3 1 1 43.000 71.008 -3.324 3 3 1 2 16.000 22.024 -1.284 3 3 1 3 5.000 8.515 -1.205 3 3 2 1 8.000 15.229 -1.852 3 3 2 2 3.000 5.935 -1.205 3 3 2 3 1.000 3.675 -1.395 3 3 3 1 1.000 2.756 -1.058 3 3 3 2 1.000 2.367 -0.888 3 3 3 3 7.000 7.479 -0.175 3 4 1 1 17.000 10.872 1.859 3 4 1 2 0.000 4.193 -2.048 3 4 1 3 4.000 2.542 0.915 3 4 2 1 1.000 2.683 -1.027 3 4 2 2 1.000 1.300 -0.263 3 4 2 3 0.000 1.262 -1.124 3 4 3 1 0.000 0.789 -0.888 3 4 3 2 0.000 0.843 -0.918 3 4 3 3 12.000 4.177 3.828 4 1 1 1 2.000 3.939 -0.977 4 1 1 2 0.000 1.579 -1.257 4 1 1 3 2.000 1.036 0.947 4 1 2 1 1.000 0.997 0.003 4 1 2 2 0.000 0.502 -0.708 4 1 2 3 1.000 0.527 0.651 4 1 3 1 0.000 0.319 -0.565 4 1 3 2 0.000 0.355 -0.595 4 1 3 3 0.000 1.901 -1.379 4 2 1 1 3.000 1.485 1.243 4 2 1 2 0.000 0.785 -0.886 4 2 1 3 0.000 0.910 -0.954 4 2 2 1 0.000 0.449 -0.670 4 2 2 2 1.000 0.298 1.286 4 2 2 3 0.000 0.553 -0.744 4 2 3 1 0.000 0.266 -0.516 4 2 3 2 0.000 0.389 -0.624 4 2 3 3 2.000 3.691 -0.880 4 3 1 1 3.000 2.389 0.395 4 3 1 2 0.000 1.489 -1.220 4 3 1 3 4.000 2.427 1.009 4 3 2 1 0.000 0.803 -0.896 4 3 2 2 0.000 0.629 -0.793 4 3 2 3 0.000 1.642 -1.281 4 3 3 1 0.000 0.688 -0.830 4 3 3 2 0.000 1.188 -1.090 4 3 3 3 7.000 15.829 -2.219 4 4 1 1 8.000 0.562 9.924 4 4 1 2 0.000 0.435 -0.660 4 4 1 3 3.000 1.113 1.789 4 4 2 1 0.000 0.217 -0.466 4 4 2 2 2.000 0.212 3.888 4 4 2 3 1.000 0.866 0.144 4 4 3 1 0.000 0.303 -0.550 4 4 3 2 1.000 0.650 0.435 4 4 3 3 24.000 13.577 2.829 *** LOG-LINEAR PARAMETERS *** * TABLE ABCD [or P(ABCD)] * effect beta exp(beta) main 0.9393 2.5582 A 1 -0.4139 0.6611 2 0.6681 1.9506 3 0.7829 2.1879 4 -1.0372 0.3544 B 1 0.3198 1.3768 2 -0.2256 0.7980 3 0.5069 1.6602 4 -0.6011 0.5482 C 1 0.7321 2.0794 2 -0.3328 0.7169 3 -0.3992 0.6708 D 1 0.1863 1.2048 2 -0.3117 0.7322 3 0.1254 1.1336 type 2 association (row=A column=B slab=-) association 1.0000 row 0.0494 -0.0280 -0.7166 0.6952 adj row 0.0494 -0.0280 -0.7166 0.6952 column -0.6964 -0.1378 0.1965 0.6376 adj column -0.6964 -0.1378 0.1965 0.6376 slab 0.6890 adj slab 0.6890 type 2 association (row=A column=C slab=-) association 1.0000 row 0.0494 -0.0280 -0.7166 0.6952 adj row 0.0494 -0.0280 -0.7166 0.6952 column -0.8410 -0.3790 1.2200 adj column -0.8410 -0.3790 1.2200 slab 0.6890 adj slab 0.6890 type 2 association (row=A column=D slab=-) association 1.0000 row 0.0494 -0.0280 -0.7166 0.6952 adj row 0.0494 -0.0280 -0.7166 0.6952 column -0.9714 -0.2541 1.2255 adj column -0.9714 -0.2541 1.2255 slab 0.6890 adj slab 0.6890 type 2 association (row=B column=C slab=-) association 1.0000 row -0.6964 -0.1378 0.1965 0.6376 adj row -0.6964 -0.1378 0.1965 0.6376 column -0.8410 -0.3790 1.2200 adj column -0.8410 -0.3790 1.2200 slab 0.6890 adj slab 0.6890 type 2 association (row=B column=D slab=-) association 1.0000 row -0.6964 -0.1378 0.1965 0.6376 adj row -0.6964 -0.1378 0.1965 0.6376 column -0.9714 -0.2541 1.2255 adj column -0.9714 -0.2541 1.2255 slab 0.6890 adj slab 0.6890 type 2 association (row=C column=D slab=-) association 1.0000 row -0.8410 -0.3790 1.2200 adj row -0.8410 -0.3790 1.2200 column -0.9714 -0.2541 1.2255 adj column -0.9714 -0.2541 1.2255 slab 0.6890 adj slab 0.6890