Montreal Cognitive Assessment: Seeking a Single Cutoff Score May Not Be Optimal

Table 2

Information for models of 2–4 classes.

Model	Classes	AIC	BIC	ABIC^a	Entropy	LRT	Smallest class %
(1) Mixture modeling of ADL, MoCA, and CDR	2	19770	20319	19932	0.87	<0.00	36.6
	3	19365	19964	19541	0.83	<0.01	13.1
	4	19249	19897	19400	0.79	0.68	2.5
(2) Mixture modeling of only MoCA	2	12642	12867	12708	0.83	<0.00	37.2
	3	12362	12628	12441	0.78	<0.01	18.1
	4	12286	12592	12376	0.80	<0.01	3.6
(3) Latent class analysis of only MoCA	2	12635	12941	12725	0.84	<0.00	37.7
	3	12390	12867	12531	0.82	0.76	14.8
	4	12348	12996	12539	0.78	0.79	12.0

Note. LRT = likelihood ratio test of k vs. k − 1 number of classes.