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 1 (i.e., one dimensional RASCH like model) * 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 6 1 5 6 2 3 6 2 4 6 2 5 6 3 4 6 3 5 6 4 5 6 ] ass_res [ 0 0 3 0 0 3 0 0 3 0 0 3 0 0 3 0 0 3 0 0 3 0 0 3 0 0 3 0 0 3] ass_phi [ 1 1 1 1 1 1 1 1 1 1 ] ite 150000 nco data lsat7_dat.txt *** STATISTICS *** Number of iterations = 29 Converge criterion = 0.0000005345 X-squared = 44.1963 (0.0103) L-squared = 43.7933 (0.0114) Cressie-Read = 43.7762 (0.0115) Dissimilarity index = 0.0639 Degrees of freedom = 25 Log-likelihood = -2664.85148 Number of parameters = 6 (+1) Sample size = 1000.0 BIC(L-squared) = -128.9006 AIC(L-squared) = -6.2067 BIC(log-likelihood) = 5371.1495 AIC(log-likelihood) = 5341.7030 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 11.329 0.199 1 1 1 1 2 19.000 14.535 1.171 1 1 1 2 1 1.000 3.336 -1.279 1 1 1 2 2 7.000 7.338 -0.125 1 1 2 1 1 3.000 8.524 -1.892 1 1 2 1 2 19.000 18.748 0.058 1 1 2 2 1 3.000 4.303 -0.628 1 1 2 2 2 17.000 16.225 0.192 1 2 1 1 1 10.000 4.363 2.699 1 2 1 1 2 5.000 9.597 -1.484 1 2 1 2 1 3.000 2.203 0.537 1 2 1 2 2 7.000 8.305 -0.453 1 2 2 1 1 7.000 5.628 0.578 1 2 2 1 2 23.000 21.219 0.387 1 2 2 2 1 8.000 4.870 1.418 1 2 2 2 2 28.000 31.480 -0.620 2 1 1 1 1 7.000 12.824 -1.626 2 1 1 1 2 39.000 28.206 2.032 2 1 1 2 1 11.000 6.474 1.779 2 1 1 2 2 34.000 24.410 1.941 2 1 2 1 1 14.000 16.541 -0.625 2 1 2 1 2 51.000 62.367 -1.439 2 1 2 2 1 15.000 14.315 0.181 2 1 2 2 2 90.000 92.526 -0.263 2 2 1 1 1 6.000 8.467 -0.848 2 2 1 1 2 25.000 31.924 -1.226 2 2 1 2 1 7.000 7.327 -0.121 2 2 1 2 2 35.000 47.362 -1.796 2 2 2 1 1 18.000 18.721 -0.167 2 2 2 1 2 136.000 121.007 1.363 2 2 2 2 1 32.000 27.774 0.802 2 2 2 2 2 308.000 307.751 0.014 *** LOG-LINEAR PARAMETERS *** * TABLE ABCDE [or P(ABCDE)] * effect beta exp(beta) main 2.7308 15.3459 A 1 -0.6010 0.5483 2 0.6010 1.8239 B 1 -0.0619 0.9400 2 0.0619 1.0639 C 1 -0.3967 0.6725 2 0.3967 1.4870 D 1 0.0723 1.0749 2 -0.0723 0.9303 E 1 -0.6636 0.5150 2 0.6636 1.9418 type 2 association (row=A column=B slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.7071 0.7071 adj column -0.7071 0.7071 slab 0.2695 adj slab 0.2695 type 2 association (row=A column=C slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.7071 0.7071 adj column -0.7071 0.7071 slab 0.2695 adj slab 0.2695 type 2 association (row=A column=D slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.7071 0.7071 adj column -0.7071 0.7071 slab 0.2695 adj slab 0.2695 type 2 association (row=A column=E slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.7071 0.7071 adj column -0.7071 0.7071 slab 0.2695 adj slab 0.2695 type 2 association (row=B column=C slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.7071 0.7071 adj column -0.7071 0.7071 slab 0.2695 adj slab 0.2695 type 2 association (row=B column=D slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.7071 0.7071 adj column -0.7071 0.7071 slab 0.2695 adj slab 0.2695 type 2 association (row=B column=E slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.7071 0.7071 adj column -0.7071 0.7071 slab 0.2695 adj slab 0.2695 type 2 association (row=C column=D slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.7071 0.7071 adj column -0.7071 0.7071 slab 0.2695 adj slab 0.2695 type 2 association (row=C column=E slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.7071 0.7071 adj column -0.7071 0.7071 slab 0.2695 adj slab 0.2695 type 2 association (row=D column=E slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.7071 0.7071 adj column -0.7071 0.7071 slab 0.2695 adj slab 0.2695