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 *** * Generated probabilities from rasch with theta exp(1) * * b2= -1.05; * b3= -.35; * b4= .35; * b5= 1.05; * man 4 dim 2 2 2 2 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 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 ] nco dat gen4rasch_exp1.dat *** STATISTICS *** Number of iterations = 23 Converge criterion = 0.0000004196 X-squared = 3379.5377 (0.0000) L-squared = 3458.9999 (0.0000) Cressie-Read = 3404.9493 (0.0000) Dissimilarity index = 0.0261 Degrees of freedom = 10 Log-likelihood = -2297094.98469 Number of parameters = 5 (+1) Sample size = 1000000.0 BIC(L-squared) = 3320.8448 AIC(L-squared) = 3438.9999 BIC(log-likelihood) = 4594259.0469 AIC(log-likelihood) = 4594199.9694 WARNING: no information is provided on identification of parameters *** FREQUENCIES *** A B C D observed estimated std. res. 1 1 1 1 14346.602 18326.334 -29.398 1 1 1 2 57246.831 55865.008 5.846 1 1 2 1 28427.935 27348.788 6.525 1 1 2 2 129433.190 123220.466 17.699 1 2 1 1 14116.895 13518.359 5.148 1 2 1 2 64274.622 60907.215 13.645 1 2 2 1 31917.833 29817.207 12.165 1 2 2 2 187799.660 198560.208 -24.148 2 1 1 1 7010.242 6818.513 2.322 2 1 1 2 31917.833 30720.934 6.829 2 1 2 1 15849.927 15039.474 6.609 2 1 2 2 93258.553 100151.602 -21.781 2 2 1 1 7870.841 7433.931 5.067 2 2 1 2 46310.827 49504.399 -14.353 2 2 2 1 22997.276 24234.944 -7.950 2 2 2 2 247220.930 238532.614 17.789 *** LOG-LINEAR PARAMETERS *** * TABLE ABCD [or P(ABCD)] * effect beta exp(beta) main 10.5131 3.68E+0004 A 1 0.2013 1.2230 2 -0.2013 0.8176 B 1 -0.1409 0.8686 2 0.1409 1.1513 C 1 -0.4932 0.6107 2 0.4932 1.6375 D 1 -0.8503 0.4273 2 0.8503 2.3404 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 0.1954 adj slab 0.1954 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 0.1954 adj slab 0.1954 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 0.1954 adj slab 0.1954 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 0.1954 adj slab 0.1954 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 0.1954 adj slab 0.1954 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 0.1954 adj slab 0.1954