Table 4.
Evaluation of Invariance Across Groups: Standardized Factor Loadings
| Test | Model 1 Configural Invariance |
Model 2 Metric Invariance |
Model 3 Strong (Scalar)Factorial Invariance |
Model 4 Strict Invariance |
||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Fix variances=1 and means=0; free intercepts factor loadings, and residual variances |
Fix factor loadings, variances=1, and means=0; free intercepts and residual variances |
Fix intercepts, factor loadings, and variances; fix means=0 in reference group; free residual variances |
Fix intercepts, factor loadings, variances, and residual variances; fix means=0 in reference group |
|||||||||
| Norm N=2409 |
MCI N=2037 |
Dem N=1564 |
Norm N=2409 |
MCI N=2037 |
Dem N=1564 |
Norm N=2409 |
MCI N=2037 |
Dem N=1564 |
Norm N=2409 |
MCI N=2037 |
Dem N=1564 |
|
| Memory | ||||||||||||
| LM Immediate Recall | 0.92 | 0.98 | 1.04 | 0.999 | 0.98 | 0.92 | 0.92 | 0.90 | 0.85 | 0.90 | 0.90 | 0.90 |
| LM Delayed Recall | 0.94 | 0.84 | 0.63 | 0.85 | 0.81 | 0.83 | 0.93 | 0.88 | 0.89 | 0.89 | 0.89 | 0.89 |
| Attention | ||||||||||||
| Digits Forward | 0.65 | 0.59 | 0.66 | 0.65 | 0.64 | 0.61 | 0.64 | 0.63 | 0.60 | 0.62 | 0.62 | 0.62 |
| Digits Fwd Length | 0.59 | 0.56 | 0.63 | 0.61 | 0.58 | 0.57 | 0.60 | 0.58 | 0.57 | 0.58 | 0.58 | 0.58 |
| Digits Backward | 0.88 | 0.91 | 0.89 | 0.89 | 0.89 | 0.90 | 0.90 | 0.89 | 0.91 | 0.90 | 0.90 | 0.90 |
| Digits Bkwd Length | 0.83 | 0.86 | 0.85 | 0.85 | 0.84 | 0.85 | 0.85 | 0.85 | 0.86 | 0.86 | 0.86 | 0.86 |
| Executive | ||||||||||||
| Trails A | 0.78 | 0.78 | 0.85 | 0.80 | 0.80 | 0.81 | 0.78 | 0.78 | 0.78 | 0.78 | 0.78 | 0.78 |
| Trails B | 0.86 | 0.86 | 0.80 | 0.86 | 0.84 | 0.84 | 0.86 | 0.84 | 0.84 | 0.85 | 0.85 | 0.85 |
| WAIS (Digit Symbol) | 0.79 | 0.82 | 0.90 | 0.82 | 0.83 | 0.86 | 0.83 | 0.84 | 0.87 | 0.84 | 0.84 | 0.84 |
| Language | ||||||||||||
| Animals | 0.74 | 0.83 | 0.90 | 0.78 | 0.82 | 0.89 | 0.76 | 0.80 | 0.86 | 0.79 | 0.79 | 0.79 |
| Vegetables | 0.58 | 0.69 | 0.79 | 0.64 | 0.69 | 0.75 | 0.68 | 0.73 | 0.79 | 0.72 | 0.72 | 0.72 |
| Boston Naming | 0.63 | 0.64 | 0.67 | 0.66 | 0.63 | 0.64 | 0.64 | 0.61 | 0.63 | 0.62 | 0.62 | 0.62 |
| Fit Statistics | ||||||||||||
| CFI | 0.985 | 0.975 | 0.967 | 0.957 | ||||||||
| TLI | 0.978 | 0.969 | 0.963 | 0.958 | ||||||||
| RMSEA | 0.047 | 0.055 | 0.060 | 0.064 | ||||||||
| SRMR | 0.029 | 0.065 | 0.072 | 0.071 | ||||||||
| †BIC, p-value, df | −460.77, −, df=138 | −254.30, p<.0001, df=162 | −70.33, p<.0001, df=178 | 112.90, p<.0001, df=202 | ||||||||
| †S-B χ2 p-value, df | df = 138 | p <.0001, df = 162 | p <.0001, df = 178 | p <.0001, df = 202 | ||||||||
Nested models tested using BIC33 and Satorra-Bentler Scaled χ2 test.32 Model 1 was used as the starting point as the least constrained model. Each model was found to be statistically significantly different from the prior model based on both measures
CFI=Comparative fit index, better fit >0.90; range 0.0 -1.0 34
TLI= Tucker-Lewis index: better fit > 0.90; range 0.0 -1.0 36
RMSEA= Root mean square error of approximation: better fit <0.05 39
SRMR = Standardized root mean square residual: better fit <0.0539
BIC = Bayesian Information Criterion: better fit<0.0 33
S-B=Satorra-Bentler Scaled χ2 test. 32