International relevance of two measures of awareness of age-related change (AARC)

BMC Geriatrics

Table 8 Summary of the measurement invariance models for the AARC-10 SF and the AARC-50 cognitive functioning subscale-age groups

AARC-10 SF
Models	RMSEA [95% CI]	CFI	SRMR
Model 1: Configural invariance	.07 [.07, .07]	.94	.07
Model 2: Metric invariance	.07 [.07, .07]	.94	.07
Model 3: Strong invariance	.08 [.08, .08]	.90	.10
AARC-50 cognitive functioning subscale
Models	RMSEA [95% CI]	CFI	SRMR
Model 1: Configural invariance	.12 [.12, .12]	.91	.06
Model 2: Metric invariance	.11 [.11, .11]	.90	.06
Model 3: Strong invariance	.11 [.11, .11]	.89	.08

CONFIGURAL INVARIANCE = This model places no equality constraints across groups on factor loadings, the error variances, the variances of the latent variables, or the covariances of the latent variables
METRIC INVARIACNE = This model places the factor loadings to be equal across groups
STRONG INVARIANCE = This model constrains item loadings, error-variances of the items, variances
RMSEA Root mean square error of approximation, CFI Comparative fit index, SRMR Standard root mean square residual

ISSN: 1471-2318