University students’ intentions to learn artificial intelligence: the roles of supportive environments and expectancy–value beliefs

Table 5 Fit indices for the models with varying numbers of latent profiles

N_profile	AIC	BIC	aBIC	Entropy	L-M-R LRT (p)	Bootstrap LRT (p)	Class size per profile
1	4569.80	4603.42	4578.02	n/a	n/a	n/a	494
2	4179.22	4233.85	4192.59	0.71	< 0.001	< 0.001	255, 239
3	4022.45	4098.10	4040.97	0.82	< 0.001	< 0.001	42, 278, 174
4	3975.52	4072.18	3999.18	0.79	0.17	< 0.001	126, 230, 20, 118

AIC Akaike Information Criterion, BIC Bayesian Information Criterion, aBIC sample-size adjusted BIC, L-M-R LRT Lo-Mendell-Rubin Likelihood Ratio Test, LRT likelihood ratio test
Bolded numbers indicated selected model