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
  *  Complete Independence
  *
  man 5
  dim 2 2 2 2 2
  lab A B C D E
  mode {A B C D E }
  dlk
  ste 2
  ite 150000
  nco
  data lsat7_dat.txt


*** STATISTICS ***

  Number of iterations = 2
  Converge criterion   = 0.0000000000

  X-squared            = 356.5562 (0.0000)
  L-squared            = 200.9107 (0.0000)
  Cressie-Read         = 278.1780 (0.0000)
  Dissimilarity index  = 0.1606
  Degrees of freedom   = 26
  Log-likelihood       = -2743.41019
  Number of parameters = 5 (+1)
  Sample size          = 1000.0
  BIC(L-squared)       = 21.3091
  AIC(L-squared)       = 148.9107
  BIC(log-likelihood)  = 5521.3592
  AIC(log-likelihood)  = 5496.8204

  Eigenvalues information matrix
     955.1168   900.2293   704.1790   569.7761   529.5130




*** FREQUENCIES ***

  A B C D E     observed  estimated  std. res.
  1 1 1 1 1      12.000      0.830     12.264
  1 1 1 1 2      19.000      4.455      6.892
  1 1 1 2 1       1.000      1.276     -0.244
  1 1 1 2 2       7.000      6.852      0.057
  1 1 2 1 1       3.000      2.809      0.114
  1 1 2 1 2      19.000     15.083      1.008
  1 1 2 2 1       3.000      4.321     -0.635
  1 1 2 2 2      17.000     23.199     -1.287
  1 2 1 1 1      10.000      1.596      6.652
  1 2 1 1 2       5.000      8.571     -1.220
  1 2 1 2 1       3.000      2.455      0.348
  1 2 1 2 2       7.000     13.182     -1.703
  1 2 2 1 1       7.000      5.405      0.686
  1 2 2 1 2      23.000     29.020     -1.117
  1 2 2 2 1       8.000      8.313     -0.108
  1 2 2 2 2      28.000     44.635     -2.490
  2 1 1 1 1       7.000      3.994      1.504
  2 1 1 1 2      39.000     21.444      3.791
  2 1 1 2 1      11.000      6.143      1.960
  2 1 1 2 2      34.000     32.983      0.177
  2 1 2 1 1      14.000     13.523      0.130
  2 1 2 1 2      51.000     72.610     -2.536
  2 1 2 2 1      15.000     20.799     -1.272
  2 1 2 2 2      90.000    111.680     -2.051
  2 2 1 1 1       6.000      7.684     -0.608
  2 2 1 1 2      25.000     41.259     -2.531
  2 2 1 2 1       7.000     11.819     -1.402
  2 2 1 2 2      35.000     63.459     -3.572
  2 2 2 1 1      18.000     26.018     -1.572
  2 2 2 1 2     136.000    139.700     -0.313
  2 2 2 2 1      32.000     40.017     -1.267
  2 2 2 2 2     308.000    214.869      6.353



*** LOG-LINEAR PARAMETERS ***

* TABLE ABCDE [or P(ABCDE)] *

  effect           beta  std err  z-value   exp(beta)     Wald  df  prob
  main           2.5916                       13.3515 
  A 
   1            -0.7858   0.0419  -18.756      0.4558 
   2             0.7858                        2.1941   351.79   1 0.000
  B 
   1            -0.3272   0.0333   -9.817      0.7209 
   2             0.3272                        1.3871    96.38   1 0.000
  C 
   1            -0.6098   0.0377  -16.182      0.5434 
   2             0.6098                        1.8401   261.87   1 0.000
  D 
   1            -0.2153   0.0324   -6.653      0.8063 
   2             0.2153                        1.2402    44.26   1 0.000
  E 
   1            -0.8404   0.0435  -19.338      0.4316 
   2             0.8404                        2.3172   373.95   1 0.000