. Author manuscript; available in PMC: 2020 May 1.

Published in final edited form as: Tob Regul Sci. 2019 May;5(3):242–252. doi: 10.18001/TRS.5.3.3

Table 2.

Fit Indices of Latent Class Analysis of Harm Perceptions for Tobacco Products (N_u = 650

# of classes	Log-likelihood	AIC	BIC	Adjusted BIC	Entropy	LMR test
1	−42485.08	84994.16	85084.42	85046.28
2	−40361.30	80772.59	80960.63	80881.18	0.69	p < .001
3	−39744.24	79564.49	79850.30	79729.54	0.74	p < .001
4	−39448.40	78998.79	79382.39	79220.31	0.75	p < .001
5	−39336.41	78800.81	79282.19	79078.80	0.61	p = .040
6	−39311.14	78776.27	79355.43	79110.73	0.62	p = .378

Note. Text in bold indicates the optimal class solution chosen based on the lowest BIC value, a significant LMR test, as well as empirical and theoretical considerations.

AIC: Akaike Information Criterion

BIC: Bayesian Information Criterion

LMR: Lo-Mendell-Rubin