TABLE 2—
No. of Classes | Parameters | Log-Likelihood | AIC | BIC | ssa BIC | Entropy | BLRT | P |
Men | ||||||||
1 | 9 | −18 503.599 | 37 025.197 | 37 083.798 | 37 055.199 | 1.000 | ||
2 | 19 | −15 402.771 | 30 843.543 | 30 967.255 | 30 906.880 | 0.927 | 6 201.655 | .001 |
3 | 29 | −14 821.097 | 29 700.194 | 29 889.018 | 29 796.867 | 0.947 | 1 163.348 | .001 |
4 | 39 | −14 548.412 | 29 174.824 | 29 428.760 | 29 304.831 | 0.932 | 545.371 | .001 |
5 | 49 | −14 296.983 | 28 691.966 | 29 011.014 | 28 855.309 | 0.909 | 502.857 | .001 |
6 | 59 | −14 176.065 | 28 470.130 | 28 854.289 | 28 666.807 | 0.922 | 241.837 | .001 |
7 | 69 | −14 072.910 | 28 283.821 | 28 733.092 | 28 513.834 | 0.925 | 206.309 | .001 |
8 | 79 | −13 990.324 | 28 138.648 | 28 653.031 | 28 401.997 | 0.912 | 165.172 | .001 |
9 | 89 | −13 943.867 | 28 065.734 | 28 645.229 | 28 362.418 | 0.920 | 92.914 | .001 |
10 | 99 | −13 909.547 | 28 017.095 | 28 661.701 | 28 347.114 | 0.923 | 68.639 | .001 |
Women | ||||||||
1 | 9 | −20 063.467 | 40 144.933 | 40 204.037 | 40 175.438 | 1.000 | ||
2 | 19 | −16 423.428 | 32 884.855 | 33 009.631 | 32 949.255 | 0.944 | 7 280.078 | .001 |
3 | 29 | −15 816.767 | 31 691.533 | 31 881.980 | 31 789.827 | 0.962 | 1 213.322 | .001 |
4 | 39 | −15 529.946 | 31 137.891 | 31 394.009 | 31 270.080 | 0.941 | 573.642 | .001 |
5 | 49 | −15 306.326 | 30 710.653 | 31 032.442 | 30 876.736 | 0.918 | 447.239 | .001 |
6 | 59 | −15 103.758 | 30 325.516 | 30 712.976 | 30 525.494 | 0.905 | 405.137 | .001 |
7 | 69 | −15 003.290 | 30 144.579 | 30 597.711 | 30 378.451 | 0.917 | 200.937 | .001 |
8 | 79 | −14 917.217 | 29 992.434 | 30 511.237 | 30 260.201 | 0.920 | 172.145 | .001 |
9 | 89 | −14 856.621 | 29 891.242 | 30 475.716 | 30 192.903 | 0.928 | 121.192 | .001 |
10 | 99 | −14 813.435 | 29 824.869 | 30 475.015 | 30 160.425 | 0.916 | 86.334 | .001 |
Note. AIC = Akaike information criterion; BIC = Bayesian information criterion; BLRT = bootstrapped likelihood ratio test comparison for N vs N − 1 class models; ssa BIC = sample-size-adjusted Bayesian information criterion.