Table 2.
Goodness of fit statistics of the different latent profile analyses
Goodness of fit measures | 1 class | 2 classes | 3 classes | 4 classes | 5 classes |
---|---|---|---|---|---|
AIC | 2327.75 | 2110.31 | 1868.65 | 1720.00 | Did not converge |
BIC | 2378.02 | 2188.85 | 1975.46 | 1855.09 | |
Sample adjusted BIC | 2327.36 | 2109.69 | 1867.80 | 1718.94 | |
Entropy | – | 0.86 | 1.000 | 0.998 | |
LMR | – | 2 vs 1 | 3 vs 2 | 4 vs 3 | |
– | 230.46 | 254.17 | 163.75 | ||
P –value | – | 0.0005 | 0.72 | 0.37 | |
Bootstrapped LRT | – | 235.45 | 259.66 | 166.64 | |
– | < 0.0001 | < 0.0001 | < 0.0001 |
AIC Akaike Information Criterion, BIC Bayesian Information Criterion, LMR Lo, Mendell, Rubin Likelihood Ratio Test. LRT = Likelihood Ratio Test. Bold data = solution that best fit the data