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Table 7 Summary of the measurement invariance models for the AARC-10 SF and the AARC-50 cognitive functioning subscale-education level

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

AARC-10 SF
Models RMSEA [95% CI] CFI SRMR
Model 1: Configural invariance .07 [.07, .07] .95 .05
Model 2: Metric invariance .07 [.06, .07] .95 .05
Model 3: Strong invariance .06 [.06, .07] .94 .06
AARC-50 cognitive functioning subscale
 Models RMSEA [95% CI] CFI SRMR
 Model 1: Configural invariance .12 [.12, .12] .91 .05
 Model 2: Metric invariance .11 [.11, .12] .90 .99
 Model 3: Strong invariance .11 [.11, .11] .90 .06
  1. 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
  2. METRIC INVARIACNE = This model places the factor loadings to be equal across groups
  3. STRONG INVARIANCE = This model constrains item loadings, error-variances of the items, variances
  4. RMSEA Root mean square error of approximation, CFI Comparative fit index, SRMR Standard root mean square residual