Profiles of instrumental, emotional, and informational support in Chinese breast cancer patients undergoing chemotherapy: a latent class analysis

Table 2 Latent class model fit comparison

Model	K	Log (L)	AIC	BIC	aBIC	Entropy	LMR P value	BLRT P value	Probability of classes
1C	26	− 4482.80	9017.61	9133.52	9050.98	–	–	–	1
2C	53	− 2949.01	6004.01	6240.30	6072.03	0.95	< 0.00	< 0.00	0.680/0.320
3C	80	− 2644.35	5448.71	5805.38	5551.39	0.96	0.023	< 0.00	0.143/0.246/0.611
4C	107	− 2545.27	5304.54	5781.58	5441.86	0.97	0.771	< 0.00	0.611/0.035/0.222/0.132
5C	134	− 2472.95	5213.90	5811.31	5385.87	0.96	< 0.00	< 0.00	0.050/0.580/0.117/0.132/0.121
6C	161	− 2432.68	5187.37	5905.16	5394.00	0.96	< 0.112	0.000	0.040/0.131/0.584/0.042/0.099/0.103

K number of free parameters, Log (L) log likelihood, AIC Akaike Information Criterion, BIC Bayesian Information Criterion, aBIC Adjusted BIC, LMR Lo–Mendell–Rubin, BLRT the Bootstrap Likelihood Ratio Test, – not applicable

ISSN: 1472-6874