Table 2.

Fit indices of the 1- to 8-class models used to select the final model. A 5-class solution was selected.

Model type	Log-likelihood	Bayesian information criterion	Number of parameters	Classification errors
1-Class	–955	2150	34	0
2-Class	30077	–59667	69	0.0004
3-Class	38004	–75274	104	0.0006
4-Class	39901	–78823	139	0.0011
5-Class	43508	–85790	174	0.0016
6-Class	45205	–88937	209	0.0018
7-Classa	47402	–93085	244	0.0033
8-Classa	47837	–93707	279	0.0026

^aFinal log-likelihood not replicated.