Longitudinal validation of cognitive reserve proxy measures: a cohort study in a rural Chinese community

Table 2 Longitudinal measurement invariance of the CR model

Model	χ²	df	RMSEA	CFI	TLI	AIC	BIC	P
Configural Invariance	9.165	4	0.040	0.981	0.944	28388.806	28517.631
Metric Invariance	11.451	7	0.028	0.984	0.973	28385.092	28497.814
Scalar Invariance	97.637	9	0.112	0.681	0.575	28467.278	28569.264
Strict Invariance	106.94	13	0.096	0.662	0.688	28468.581	28549.097
Δ(metric – config)	2.2861	3	-0.012	0.003	0.028	-3.714	-19.817	0.52*
Δ(scalar – metric)	86.186	2	0.083	-0.303	-0.398	82.186	71.451	< 0.001
Δ(strict – scalar)	9.303	4	-0.016	-0.019	0.113	1.303	-20.167	0.053

Notes AIC = Akaike’s Information Criterion; BIC = Bayesian Information Criteria; CFI = comparative fit index; RMSEA = root mean square error of approximation; TLI = Tucker–Lewis index; * indicated an accepted model

ISSN: 1758-9193