Table 4.

Results of the MIMIC model by cognitive endogenous factors

	Episodic memory									Semantic memory
	Model 1a				Model 2b					Model 1a				Model 2b
Predictor	Estimatec	SE	t	δje	Estimatec	SE	t	ρd	δje	Estimatec	SE	t	δje	Estimatec	SE	t	ρd	δje
NP count factor	−0.148	0.079	−1.86	0.14	−0.148	0.078	−1.90	−0.44	0.13	−0.053	0.096	−0.56	0.05	−0.053	0.093	−0.57	−0.38	0.05
Three-indicator NFT count factor (neocortical)	−0.378	0.069	−5.47**	0.39	−0.361	0.068	−5.33**	−0.49	0.36	−0.468	0.092	−5.10**	0.54	−0.446	0.089	−5.00**	−0.44	0.48
Two-indicator NFT count factor (medial temporal)	−0.123	0.064	−1.92	0.11	−0.123	0.063	−1.94	−0.42	0.11	0.026	0.068	0.38	0.02	0.023	0.067	0.35	−0.35	0.02
DP count factor	0.045	0.057	0.80	0.03	0.043	0.056	0.77	−0.32	0.03	0.057	0.072	0.79	0.04	0.054	0.070	0.77	−0.27	0.04
Microscopic infarcts	−0.069	0.035	−1.98*	0.01	−0.062	0.035	−1.78	−0.07	0.01	−0.100	0.042	−2.35*	0.02	−0.090	0.041	−2.17*	−0.08	0.02
Macroscopic infarcts	−0.176	0.038	−4.67**	0.06	−0.170	0.038	−4.46**	−0.15	0.05	−0.164	0.048	−3.43**	0.06	−0.156	0.049	−3.20**	−0.14	0.06
Lewy bodies	−0.242	0.039	−6.15**	0.14	−0.240	0.040	−6.01**	−0.27	0.13	−0.266	0.052	−5.12**	0.19	−0.265	0.052	−5.09**	−0.27	0.18
Brain weight					0.118	0.035	3.35**	0.26	0.06					0.158	0.038	4.14**	0.27	0.11
R2	47.40%					48.70%				38.10%					40.40%
R2 change	1.30%									2.30%
	Fluency									Working memory
	Model 1a				Model 2b					Model 1a				Model 2b
Predictor	Estimatec	SE	t	δje	Estimatec	SE	t	ρd	δje	Estimatec	SE	t	δje	Estimatec	SE	t	ρd	δje
NP count factor	−0.158	0.088	−1.80	0.18	−0.162	0.088	−1.83	−0.40	0.17	−0.142	0.091	−1.56	0.17	−0.145	0.090	−1.61	−0.37	0.15
Three-indicator NFT count factor (Neocortical)	−0.387	0.074	−5.24**	0.47	−0.368	0.073	−5.03**	−0.43	0.43	−0.391	0.077	−5.08**	0.51	−0.367	0.076	−4.85**	−0.41	0.43
Two-indicator NFT count factor (Medial Temporal)	0.083	0.072	1.16	0.08	0.085	0.071	1.20	−0.35	0.08	0.136	0.068	2.00*	0.14	0.136	0.068	2.00*	−0.32	−0.12
DP count factor	0.062	0.065	0.95	0.05	0.061	0.066	0.93	−0.28	0.05	0.045	0.070	0.65	0.04	0.044	0.069	0.63	−0.26	−0.03
Microscopic infarcts	−0.087	0.042	−2.08*	0.02	−0.079	0.041	−1.92	−0.08	0.02	−0.058	0.041	−1.42	0.01	−0.049	0.041	−1.20	−0.07	0.01
Macroscopic infarcts	−0.179	0.043	−4.19**	0.08	−0.171	0.042	−4.04**	−0.16	0.08	−0.184	0.045	−4.07**	0.09	−0.175	0.045	−3.87**	−0.16	0.08
Lewy bodies	−0.215	0.040	−5.41**	0.15	−0.213	0.040	−5.30**	−0.25	0.14	−0.221	0.046	−4.84**	0.19	−0.219	0.046	−4.77**	−0.26	0.16
Brain weight				0.130	0.038	3.43**	0.25	0.09						0.171	0.040	4.27**	0.27	0.13
R2	35.60%					37.20%				31.10%					34.50%
R2 change	1.60%									3.40%
	Visuospatial ability									Perceptual speed
	Model 1a				Model 2b					Model 1a				Model 2b
Predictor	Estimatec	SE	t	δje	Estimatec	SE	t	ρd	δje	Estimatec	SE	t	δje	Estimatec	SE	t	ρd	δje
NP count factor	−0.204	0.104	−1.96	0.23	−0.206	0.102	−2.02*	−0.36	0.21	−0.198	0.083	−2.37*	0.20	−0.195	0.083	−2.35*	−0.38	0.19
Three-indicator NFT count factor (neocortical)	−0.299	0.088	−3.40**	0.35	−0.277	0.088	−3.16**	−0.38	0.31	−0.230	0.065	−3.51**	0.24	−0.214	0.065	−3.29**	−0.39	0.22
Two-indicator NFT count factor (medial temporal)	0.157	0.082	1.93	0.15	0.155	0.082	1.89	−0.31	0.14	−0.019	0.069	−0.28	0.02	−0.021	0.069	−0.31	−0.35	0.02
DP count factor	0.049	0.080	0.62	0.04	0.048	0.079	0.61	−0.25	0.03	0.066	0.064	1.03	0.05	0.062	0.064	0.96	−0.27	0.04
Microscopic infarcts	−0.074	0.046	−1.60	0.02	−0.064	0.046	−1.40	−0.08	0.01	−0.100	0.044	−2.26*	0.02	−0.094	0.045	−2.10*	−0.09	0.02
Macroscopic infarcts	−0.191	0.054	−3.52**	0.10	−0.184	0.054	−3.42**	−0.16	0.09	−0.186	0.042	−4.44**	0.09	−0.179	0.042	−4.23**	−0.17	0.08
Lewy bodies	−0.268	0.049	−5.50**	0.22	−0.267	0.049	−5.44**	−0.27	0.21	−0.264	0.039	−6.84**	0.19	−0.262	0.040	−6.52**	−0.27	0.19
Brain weight					0.155	0.047	3.33**	0.26	0.12					0.104	0.036	2.88**	0.24	0.07
R2	32.40%					34.80%				37.00%					38.10%
R2 change	2.40%									1.10%

^*p = .05;

^**p = .01.

^aModel 1 fit indices (CF1 = 0.951; TLI = 0.940; RMSEA = 0.045, 90% CI (0.042, 0.049)).

^bModel 2 fit indices (CF1 = 0.947; TLI = 0.936; RMSEA =0.044, 90% CI (0.041, 0.047)).

^cStandardized regression coefficient estimates using the variance of observed outcome, predictor, and latent measures.

^dMarginal correlation between the response variable and the predictor.

^eNormalized relative importance.