Table 3.

Latent class analysis statistical criterions, the 4-class solution accepted in bold.

	2-class	3-class	4-class	5-class	6-class
AIC	162,975.51	160,272.24	159,596.63	159,536.54	159,526.26
BIC	163,218.75	160,572.70	159,954.32	159,951.46	159,998.41
Proportions	52% (n = 4934)	50% (n = 4746)	38% (n = 3584)	33% (n = 3086)	32% (n = 3041)
	48% (n = 4517)	29% (n = 2735)	30% (n = 2857)	27% (n = 2559)	27% (n = 2558)
		21% (n = 1970)	27% (n = 2591)	27% (n = 2544)	26% (n = 2418)
			4% (n = 420)	11% (n = 1078)	13% (n = 1196)
				2% (n = 184)	2% (n = 235)
					0% (n = 2)
Entropy	0.78	0.77	0.74	0.68	0.70
Classification accuracy*	94%	91%	86%	80%	79%
	93%	92%	84%	88%	88%
		88%	89%	71%	68%
			85%	72%	71%
				82%	82%
					100%
VLMR LRT	p < 0.05	p < 0.05	p < 0.05	p < 0.05	p = 0.36
LMR LRT	p < 0.05	p < 0.05	p < 0.05	p < 0.05	p = 0.37

*Average latent class probabilities for most likely latent class membership