Table 3.
Latent profile analysis for the strategies variable (N=1,231)
| Model | Log Likelihood | df | SCF | AIC | SABIC | Entropy | LMR-LRT | df | p | BS-LRT | df | p |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Crude | ||||||||||||
| 2 classes | −24291.867 | 34 | 1.718 | 48651.735 | 48717.666 | 0.868 | 3090.569 | 12 | 0.010 | 3126.764 | 12 | 0.000 |
| 3 classes | −23416.015 | 46 | 1.403 | 46924.029 | 47013.23 | 0.896 | 1731.428 | 12 | 0.000 | 1751.706 | 12 | 0.000 |
| 4 classes | −23023.364 | 58 | 1.679 | 46162.728 | 46275.199 | 0.901 | 776.210 | 12 | 0.133 | 785.301 | 12 | 0.000 |
| 5 classes | −22752.493 | 70 | 1.743 | 45644.986 | 45780.727 | 0.89 | 535.471 | 12 | 0.321 | 541.742 | 12 | 0.000 |
| Adjusted | ||||||||||||
| 2 classes | −24219.573 | 50 | 1.534 | 48539.146 | 48636.104 | 0.876 | 3255.015 | 28 | 0.017 | 3271.352 | 28 | 0.000 |
| 3 classes | −23334.096 | 78 | 1.366 | 46824.192 | 46975.446 | 0.893 | 1762.111 | 28 | 0.031 | 1770.956 | 28 | 0.000 |
| 4 classes | −22908.670 | 106 | 1.267 | 46029.341 | 46234.891 | 0.900 | 846.598 | 28 | 0.410 | 850.847 | 28 | 0.000 |
| 5 classes | −22615.035 | 134 | 1.296 | 45498.071 | 45757.917 | 0.894 | 584.337 | 28 | 0.021 | 587.270 | 28 | 0.000 |
Note: df=degrees of freedom, SCF=scaling correction factor, AIC=Akaike information criterion, SABIC=sample-size-adjusted Bayesian information criterion, LMR-LRT=Lo-Mendell-Rubin likelihood ratio test, and BS-LRT=bootstrap likelihood ratio test.