Table 2.
Confirmatory Factor Analysis Fit Statistics for the Different Models Proposed for the Adult Carers for the Older Adults Quality of Life for the U.S. and China Samples.
| Item | χ2 | df | p ≤ | CMIN/DF | CFI | NNFI | RMSEA | SRMR |
|---|---|---|---|---|---|---|---|---|
| USA (n = 164) | ||||||||
| Unidimensional | 1,570.94 | 252 | .000 | 6.23 | .375 | .315 | .179 | .160 |
| Six-factor | 424.91 | 237 | .000 | 1.79 | .911 | .896 | .070 | .065 |
| Bifactor | 325.09 | 213 | .000 | 1.53 | .947 | .931 | .057 | .053 |
| China (n = 131) | ||||||||
| Unidimensional | 690.52 | 252 | .000 | 2.74 | .493 | .446 | .116 | .118 |
| Six-factor | 350.18 | 237 | .000 | 1.48 | .869 | .848 | .061 | .078 |
| Bifactor | 267.14 | 213 | .007 | 1.25 | .937 | .919 | .044 | .059 |
Note. We also provide chi-square (χ2), degree of freedom (df), significance (p), and relative chi-square (CMIN/DF). CFI = confirmatory fit index; NNFI = non-normed fit index; RMSEA = root mean square error of approximation; SRMR = standardized root mean square residual.