Expenditure projections for community home-based care services for older adults with functional decline in China

Table 4 Latent class model and fit indices

Model	K	AIC	BIC	SSA-BIC	Entropy	LMR-A p-value	BLRT p-value	Classification probability
1	42	207786.964	208068.29	207934.823				1
2	85	196672.913	197242.259	196972.152	0.812	< 0.001	< 0.001	0.62/0.38
3	128	194977.932	195835.3	195428.551	0.862	< 0.001	< 0.001	0.10/0.31/0.58
4	171	192837.12	193982.509	193439.119	0.805	< 0.001	< 0.001	0.12/0.15/0.33/0.39
5	214	192196.131	193629.541	192949.509	0.823	< 0.001	< 0.001	0.11./0.10/0.77/0.34/0.37
6	257	191593.208	193314.64	192497.966	0.776	0.378	< 0.001	0.08/0.07/0.27/0.33/0.10/0.15
7	300	191223.427	193232.881	192279.565	0.735	0.7812	< 0.001	0.08/0.10/0.20/0.19/0.22/0.16/0.07

BIC Bayesian Information Criterion, SSA-BIC Sample-Size Adjusted BIC, AIC Akaike Information Criterion, LMRA-A Lo-Mendell-Rubin adjusted likelihood ratio test, BLRT Bootstrap likelihood ratio test

ISSN: 1475-9276