Table 3.

Latent class analysis results for the identification of the number of profiles among adolescents aged 11–18 in Mauritius, 2017.

Number of Classes	BIC	aBIC	cAIC	LR	Class 1	Class 2	Class 3	Class 4	Class 5	Class 6	Entropy
1	23,996.00	23,970.58	24,004.00	1515.79	100%	-	-	-	-	-	-
2	23,226.18	23,172.17	23,243.18	674.05	71.7%	28.3%	-	-	-	-	0.53
3	23,143.30	23,060.69	23,169.30	519.25	64.0%	20.6%	15.4%	-	-	-	0.76
4	23,076.94	22,965.73	23,111.94	380.97	3.6%	71.9%	15.3%	9.2%	-	-	0.62
5	23,050.60	22,910.79	23,094.60	282.71	3.5%	57.9%	11.4%	11.7%	15.5%	-	0.55
6	23,076.78	22,908.38	23,129.78	236.98	11.9%	2.8%	15.2%	3.6%	51.8%	14.7%	0.54

Notes: BIC—Bayesian Information Criterion; aBIC—adjusted BIC; cAIC—consistent Akaike Information Criterion; LR—Likelihood Ratio.