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 *** * Olzak & Wickens (1983) The interpretation of detection data * through direct multivariate frequency analysis. * Psych Bulletin, 93, 574-585. * * Subject B: Log-multiplicative model, graph 3 (c) w/ more restrictions (3c5) * man 3 dim 4 6 6 lab S X Y mod {S X Y XY ass2(S,X,5a,3) ass2(S,Y,5a,2) } des [1 1 2 3 1 2 1 2 ] ass_equ [ 1 2 3 2 ] nco dat [ 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 = 173 Converge criterion = 0.0000009924 X-squared = 143.4975 (0.0019) L-squared = 138.3524 (0.0046) Cressie-Read = 137.6332 (0.0051) Dissimilarity index = 0.0816 Degrees of freedom = 98 Log-likelihood = -8626.11016 Number of parameters = 45 (+1) Sample size = 2000.0 BIC(L-squared) = -606.5360 AIC(L-squared) = -57.6476 BIC(log-likelihood) = 17594.2609 AIC(log-likelihood) = 17342.2203 WARNING: no information is provided on identification of parameters *** FREQUENCIES *** S X Y observed estimated std. res. 1 1 1 69.000 66.814 0.267 1 1 2 6.000 8.684 -0.911 1 1 3 1.000 2.189 -0.803 1 1 4 1.000 2.871 -1.104 1 1 5 0.000 0.605 -0.778 1 1 6 0.000 0.092 -0.303 1 2 1 34.000 35.053 -0.178 1 2 2 20.000 20.608 -0.134 1 2 3 10.000 13.942 -1.056 1 2 4 3.000 9.282 -2.062 1 2 5 1.000 1.090 -0.086 1 2 6 0.000 0.157 -0.396 1 3 1 43.000 42.464 0.082 1 3 2 24.000 25.418 -0.281 1 3 3 13.000 12.216 0.224 1 3 4 9.000 7.717 0.462 1 3 5 1.000 1.582 -0.462 1 3 6 0.000 0.140 -0.374 1 4 1 78.000 67.192 1.318 1 4 2 40.000 40.479 -0.075 1 4 3 20.000 22.947 -0.615 1 4 4 6.000 4.427 0.748 1 4 5 0.000 0.914 -0.956 1 4 6 1.000 0.086 3.121 1 5 1 32.000 39.269 -1.160 1 5 2 38.000 33.055 0.860 1 5 3 17.000 11.656 1.565 1 5 4 5.000 2.550 1.534 1 5 5 4.000 0.674 4.052 1 5 6 0.000 0.057 -0.239 1 6 1 5.000 14.922 -2.569 1 6 2 14.000 7.443 2.403 1 6 3 3.000 2.290 0.469 1 6 4 2.000 0.942 1.091 1 6 5 0.000 0.149 -0.387 1 6 6 0.000 0.031 -0.175 2 1 1 10.000 10.680 -0.208 2 1 2 5.000 1.820 2.356 2 1 3 2.000 1.210 0.719 2 1 4 11.000 9.862 0.362 2 1 5 16.000 14.874 0.292 2 1 6 28.000 28.395 -0.074 2 2 1 8.000 5.603 1.012 2 2 2 5.000 4.320 0.327 2 2 3 11.000 7.706 1.187 2 2 4 43.000 31.887 1.968 2 2 5 27.000 26.817 0.035 2 2 6 38.000 48.597 -1.520 2 3 1 9.000 6.788 0.849 2 3 2 6.000 5.328 0.291 2 3 3 7.000 6.752 0.095 2 3 4 28.000 26.512 0.289 2 3 5 32.000 38.902 -1.107 2 3 6 45.000 43.431 0.238 2 4 1 8.000 10.741 -0.836 2 4 2 6.000 8.485 -0.853 2 4 3 14.000 12.683 0.370 2 4 4 19.000 15.207 0.973 2 4 5 23.000 22.470 0.112 2 4 6 22.000 26.590 -0.890 2 5 1 4.000 6.277 -0.909 2 5 2 5.000 6.929 -0.733 2 5 3 7.000 6.443 0.220 2 5 4 6.000 8.762 -0.933 2 5 5 18.000 16.577 0.350 2 5 6 18.000 17.742 0.061 2 6 1 0.000 2.385 -1.544 2 6 2 1.000 1.560 -0.449 2 6 3 2.000 1.266 0.653 2 6 4 3.000 3.235 -0.130 2 6 5 5.000 3.677 0.690 2 6 6 8.000 9.485 -0.482 3 1 1 4.000 7.308 -1.224 3 1 2 1.000 0.950 0.051 3 1 3 0.000 0.239 -0.489 3 1 4 0.000 0.314 -0.560 3 1 5 0.000 0.066 -0.257 3 1 6 0.000 0.010 -0.100 3 2 1 5.000 4.473 0.249 3 2 2 3.000 2.630 0.228 3 2 3 2.000 1.779 0.166 3 2 4 1.000 1.184 -0.169 3 2 5 0.000 0.139 -0.373 3 2 6 0.000 0.020 -0.141 3 3 1 8.000 9.404 -0.458 3 3 2 6.000 5.629 0.156 3 3 3 3.000 2.705 0.179 3 3 4 1.000 1.709 -0.542 3 3 5 0.000 0.350 -0.592 3 3 6 0.000 0.031 -0.176 3 4 1 36.000 42.051 -0.933 3 4 2 25.000 25.333 -0.066 3 4 3 18.000 14.361 0.960 3 4 4 3.000 2.770 0.138 3 4 5 1.000 0.572 0.566 3 4 6 0.000 0.054 -0.232 3 5 1 83.000 75.269 0.891 3 5 2 69.000 63.358 0.709 3 5 3 26.000 22.342 0.774 3 5 4 6.000 4.889 0.503 3 5 5 1.000 1.292 -0.257 3 5 6 0.000 0.110 -0.331 3 6 1 127.000 120.794 0.565 3 6 2 50.000 60.252 -1.321 3 6 3 12.000 18.538 -1.519 3 6 4 7.000 7.622 -0.225 3 6 5 2.000 1.210 0.718 3 6 6 0.000 0.248 -0.498 4 1 1 5.000 3.199 1.007 4 1 2 0.000 0.545 -0.738 4 1 3 1.000 0.362 1.060 4 1 4 4.000 2.953 0.609 4 1 5 4.000 4.455 -0.215 4 1 6 9.000 8.504 0.170 4 2 1 0.000 1.871 -1.368 4 2 2 1.000 1.442 -0.368 4 2 3 3.000 2.573 0.266 4 2 4 6.000 10.647 -1.424 4 2 5 9.000 8.954 0.015 4 2 6 27.000 16.226 2.675 4 3 1 2.000 3.344 -0.735 4 3 2 3.000 2.625 0.231 4 3 3 2.000 3.327 -0.727 4 3 4 11.000 13.062 -0.571 4 3 5 27.000 19.167 1.789 4 3 6 20.000 21.398 -0.302 4 4 1 9.000 11.016 -0.607 4 4 2 12.000 8.703 1.118 4 4 3 11.000 13.008 -0.557 4 4 4 10.000 15.596 -1.417 4 4 5 23.000 23.045 -0.009 4 4 6 31.000 27.271 0.714 4 5 1 16.000 14.185 0.482 4 5 2 7.000 15.658 -2.188 4 5 3 5.000 14.559 -2.505 4 5 4 19.000 19.799 -0.180 4 5 5 33.000 37.458 -0.728 4 5 6 40.000 40.091 -0.014 4 6 1 21.000 14.898 1.581 4 6 2 14.000 9.745 1.363 4 6 3 13.000 7.906 1.812 4 6 4 20.000 20.202 -0.045 4 6 5 21.000 22.964 -0.410 4 6 6 61.000 59.237 0.229 *** LOG-LINEAR PARAMETERS *** * TABLE SXY [or P(SXY)] * effect beta exp(beta) main 1.5327 4.6307 S 1 -0.3552 0.7011 2 0.6755 1.9650 3 -0.9395 0.3908 4 0.6192 1.8574 X 1 -0.9873 0.3726 2 -0.1931 0.8244 3 0.0994 1.1045 4 0.5356 1.7085 5 0.5667 1.7625 6 -0.0213 0.9789 Y 1 1.0717 2.9204 2 0.4640 1.5905 3 0.0671 1.0694 4 0.2058 1.2285 5 -0.4822 0.6174 6 -1.3264 0.2654 XY 1 1 0.8134 2.2555 1 2 -0.4838 0.6164 1 3 -0.9803 0.3752 1 4 0.0658 1.0680 1 5 0.1805 1.1978 1 6 0.4045 1.4986 2 1 -0.5602 0.5711 2 2 -0.3481 0.7060 2 3 0.1428 1.1535 2 4 0.5108 1.6666 2 5 0.0414 1.0422 2 6 0.2134 1.2379 3 1 -0.4258 0.6533 3 2 -0.1958 0.8222 3 3 -0.0468 0.9543 3 4 0.2688 1.3083 3 5 0.3560 1.4276 3 6 0.0436 1.0446 4 1 0.0399 1.0407 4 2 0.2763 1.3183 4 3 0.5905 1.8048 4 4 -0.2803 0.7556 4 5 -0.1861 0.8302 4 6 -0.4403 0.6439 5 1 -0.0510 0.9502 5 2 0.5199 1.6819 5 3 0.3593 1.4324 5 4 -0.3854 0.6802 5 5 -0.0441 0.9569 5 6 -0.3987 0.6712 6 1 0.1838 1.2018 6 2 0.2315 1.2604 6 3 -0.0655 0.9366 6 4 -0.1795 0.8357 6 5 -0.3476 0.7064 6 6 0.1775 1.1942 type 2 association (row=S column=X) association 3.3286 row -0.4858 -0.4858 0.6534 0.3181 adj row -0.8862 -0.8862 1.1920 0.5804 column -0.4295 -0.3889 -0.2435 0.0305 0.3257 0.7057 adj column -0.7837 -0.7095 -0.4442 0.0557 0.5943 1.2874 type 2 association (row=S column=Y) association 6.6681 row -0.5000 0.5000 -0.5000 0.5000 adj row -1.2911 1.2911 -1.2911 1.2911 column -0.4295 -0.3889 -0.2435 0.0305 0.3257 0.7057 adj column -1.1092 -1.0042 -0.6287 0.0788 0.8411 1.8222