Table 3.
Fit Indices for Latent Growth Curve Models.
| Model | AIC | BIC | Chi-square | RMSEA | CFI | SRMR |
|---|---|---|---|---|---|---|
| Intimacy | ||||||
| Unconditional intercept-only | 16085 | 16121 | χ2 = 230.09, df = 13, p <.001 | .12 | .56 | .19 |
| Unconditional linear | 15887 | 15938 | χ2 = 26.44, df = 10, p =.003 | .04 | .97 | .08 |
| Unconditional basis | 15886 | 15952 | χ2 = 19.22, df = 7, p =.008 | .04 | .98 | .08 |
| Unconditional quadratic | 15878 | 15949 | χ2 = 9.52, df = 6, p =.23 | .02 | .99 | .03 |
| Conditional linear | 15372 | 15454 | χ2 = 80.05, df = 19, p <.001 | .05 | .94 | .07 |
|
| ||||||
| Generativity | ||||||
|
| ||||||
| Unconditional intercept-only | 12734 | 12769 | χ2 = 95.48, df = 13, p <.001 | .08 | .74 | .13 |
| Unconditional linear | 12661 | 12711 | χ2 = 16.54, df = 10, p =.09 | .02 | .98 | .04 |
| Unconditional basis | 12656 | 12721 | χ2 = 5.93, df = 7, p =.55 | <.001 | 1.00 | .09 |
| Unconditional quadratic | 12665 | 12735 | χ2 = 12.85, df = 6, p =.05 | .03 | .98 | .04 |
| Conditional linear | 12324 | 12406 | χ2 = 32.60, df = 19, p =.03 | .02 | .96 | .04 |
|
| ||||||
| Integrity | ||||||
|
| ||||||
| Unconditional intercept-only | 14008 | 14043 | χ2 = 132.12, df = 13, p <.001 | .09 | .72 | .16 |
| Unconditional linear | 13970 | 14020 | χ2 = 88.59, df = 10, p <.001 | .08 | .81 | .11 |
| Unconditional basis | 13915 | 13975 | χ2 = 29.59, df = 8, p <.001 | .05 | .95 | .08 |
| Unconditional quadratic | 13939 | 14004 | χ2 = 51.35, df = 7, p <.001 | .08 | .89 | .07 |
| Conditional basis | 13469 | 13561 | χ2 = 108.23, df = 17, p <.001 | .07 | .78 | .11 |
Note. AIC = Akaike information criterion. BIC = Bayesian information criterion. RMSEA = root mean square error of approximation. CFI = comparative fit index. SRMR = root mean square residual.