1 Model comparison and selection

Latent class growth analysis class selection. (All data, n = 6155, 24483 data points)
N of classes	N of free parameters	log-likelihood	AIC	BIC	aBIC	Entropy
2	6	-424531.7	849075.4	849115.8	849096.7	0.559
3	12	-424236.0	848496.0	848576.7	848538.6	0.583
4	20	-422343.3	844726.6	844861.1	844797.6	0.649
5	30	-422337.4	844734.8	844936.5	844841.2	0.635
Note:
Abbreviation: N, number; AIC, Akaike information criterion; BIC, Bayesian information criterion; aBIC, adjusted BIC; Entropy, a pseudo-r-squared index.

2 LCGA in four days of Survey (2 classes)