Table 4. Dual Change Score Model: Nested Model Comparison Testing Age Group Differences in Parameter Estimates, and Couplings between Perceived Control, and Health.
Model | χ2 | df | Δ χ2/df | CFI | RMSEA |
---|---|---|---|---|---|
Zero-order model | |||||
Full Coupling Model | |||||
Baseline | 127.22 | 47 | – | 0.99 | 0.03 |
Variance invariance | 268.32 | 53 | 141.10 (6)* | 0.97 | 0.05 |
Covariance invariance | 349.71 | 59 | 81.39 (6)* | 0.96 | 0.05 |
Coupling invariance | 369.02 | 61 | 19.31 (2)* | 0.96 | 0.05 |
Mean invariance | 1,131.52 | 67 | 762.50 (6)* | 0.85 | 0.09 |
Note. Midlife (aged 25 – 64, n = 2,364); Old Age (aged 65 + years, n = 1,238). Baseline model estimates a model that allows for group differences in all model parameters. Variance invariance, covariance invariance, coupling invariance, and mean invariance models constrain the variances in the intercepts and slopes, the random covariances, coupling parameters (i.e., gammas), and the intercepts and slopes (betas set invariant in mean invariance model) to be equal across groups, respectively. CFI = Comparative Fit Index. RMSEA = Root Mean Square Error of Approximation.
p < .05 or below.