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 *** * LSAT 7 data * LMA 2 (i.e., two dimensional 2PL like model) * Items A, D and E on dimension 1 * 1 4 5 * Items B and C on dimension 2 * 2 3 * man 5 dim 2 2 2 2 2 lab A B C D E mode {A B C D E ass2(A,B,-,7a) ass2(A,C,-,7a) ass2(A,D,-,7a) ass2(A,E,-,7a) ass2(B,C,-,7a) ass2(B,D,-,7a) ass2(B,E,-,7a) ass2(C,D,-,7a) ass2(C,E,-,7a) ass2(D,E,-,7a)} dlk ste 2 ass_equ [ 1 2 6 1 3 6 1 4 7 1 5 7 2 3 8 2 4 6 2 5 6 3 4 6 3 5 6 4 5 7 ] ass_res [ 0 2 3 0 2 3 0 2 3 0 2 3 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 1 1 1 1 ] ite 150000 nco data lsat7_dat.txt *** STATISTICS *** Number of iterations = 217 Converge criterion = 0.0000009953 X-squared = 22.8570 (0.2437) L-squared = 22.9427 (0.2399) Cressie-Read = 22.7122 (0.2503) Dissimilarity index = 0.0379 Degrees of freedom = 19 Log-likelihood = -2654.42617 Number of parameters = 12 (+1) Sample size = 1000.0 BIC(L-squared) = -108.3047 AIC(L-squared) = -15.0573 BIC(log-likelihood) = 5391.7454 AIC(log-likelihood) = 5332.8523 WARNING: no information is provided on identification of parameters *** FREQUENCIES *** A B C D E observed estimated std. res. 1 1 1 1 1 12.000 11.385 0.182 1 1 1 1 2 19.000 18.378 0.145 1 1 1 2 1 1.000 3.888 -1.465 1 1 1 2 2 7.000 9.760 -0.884 1 1 2 1 1 3.000 5.847 -1.177 1 1 2 1 2 19.000 14.993 1.035 1 1 2 2 1 3.000 3.380 -0.206 1 1 2 2 2 17.000 13.475 0.960 1 2 1 1 1 10.000 4.670 2.466 1 2 1 1 2 5.000 9.735 -1.518 1 2 1 2 1 3.000 2.133 0.594 1 2 1 2 2 7.000 6.914 0.033 1 2 2 1 1 7.000 7.440 -0.161 1 2 2 1 2 23.000 24.637 -0.330 1 2 2 2 1 8.000 5.751 0.938 1 2 2 2 2 28.000 29.612 -0.296 2 1 1 1 1 7.000 11.482 -1.323 2 1 1 1 2 39.000 33.227 1.002 2 1 1 2 1 11.000 7.615 1.227 2 1 1 2 2 34.000 34.265 -0.045 2 1 2 1 1 14.000 11.823 0.633 2 1 2 1 2 51.000 54.352 -0.455 2 1 2 2 1 15.000 13.271 0.475 2 1 2 2 2 90.000 94.859 -0.499 2 2 1 1 1 6.000 6.917 -0.349 2 2 1 1 2 25.000 25.848 -0.167 2 2 1 2 1 7.000 6.135 0.349 2 2 1 2 2 35.000 35.646 -0.108 2 2 2 1 1 18.000 22.097 -0.871 2 2 2 1 2 136.000 131.167 0.422 2 2 2 2 1 32.000 33.166 -0.202 2 2 2 2 2 308.000 306.130 0.107 *** LOG-LINEAR PARAMETERS *** * TABLE ABCDE [or P(ABCDE)] * effect beta exp(beta) main 2.7191 15.1670 A 1 -0.5861 0.5565 2 0.5861 1.7969 B 1 -0.0701 0.9323 2 0.0701 1.0727 C 1 -0.3710 0.6901 2 0.3710 1.4492 D 1 0.0567 1.0583 2 -0.0567 0.9449 E 1 -0.6753 0.5090 2 0.6753 1.9647 type 2 association (row=A column=B slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.9207 0.9207 adj column -0.9207 0.9207 slab 0.1476 adj slab 0.1476 type 2 association (row=A column=C slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -1.6667 1.6667 adj column -1.6667 1.6667 slab 0.1476 adj slab 0.1476 type 2 association (row=A column=D slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.5347 0.5347 adj column -0.5347 0.5347 slab 0.4388 adj slab 0.4388 type 2 association (row=A column=E slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.4704 0.4704 adj column -0.4704 0.4704 slab 0.4388 adj slab 0.4388 type 2 association (row=B column=C slab=) association 1.0000 row -0.9207 0.9207 adj row -0.9207 0.9207 column -1.6667 1.6667 adj column -1.6667 1.6667 slab 0.1844 adj slab 0.1844 type 2 association (row=B column=D slab=) association 1.0000 row -0.9207 0.9207 adj row -0.9207 0.9207 column -0.5347 0.5347 adj column -0.5347 0.5347 slab 0.1476 adj slab 0.1476 type 2 association (row=B column=E slab=) association 1.0000 row -0.9207 0.9207 adj row -0.9207 0.9207 column -0.4704 0.4704 adj column -0.4704 0.4704 slab 0.1476 adj slab 0.1476 type 2 association (row=C column=D slab=) association 1.0000 row -1.6667 1.6667 adj row -1.6667 1.6667 column -0.5347 0.5347 adj column -0.5347 0.5347 slab 0.1476 adj slab 0.1476 type 2 association (row=C column=E slab=) association 1.0000 row -1.6667 1.6667 adj row -1.6667 1.6667 column -0.4704 0.4704 adj column -0.4704 0.4704 slab 0.1476 adj slab 0.1476 type 2 association (row=D column=E slab=) association 1.0000 row -0.5347 0.5347 adj row -0.5347 0.5347 column -0.4704 0.4704 adj column -0.4704 0.4704 slab 0.4388 adj slab 0.4388