Table 2.
(Study 1: Philippines). Fit Indices for Measurement and Structural Regression Models.
| Sample | Model | X2 | df | p | RMSEA | SRMR | CFI |
|---|---|---|---|---|---|---|---|
| #1, N = 160 | 1 (Measurement Model) | 36.342 | 12 | <0.001 | 0.113 | 0.059 | 0.940 |
| 2 (E2 ⇔ E6) | 15.197 | 11 | 0.174 | 0.049 | 0.032 | 0.990 | |
| Difference | 21.145 | 1 | <0.001 | ||||
| 3 (Full Structural Regression) | 15.197 | 11 | 0.174 | 0.049 | 0.032 | 0.990 | |
| 4 (Final Structural Model) | 22.124 | 16 | 0.139 | 0.049 | 0.050 | 0.985 | |
| Difference | 6.927 | 5 | 0.226 | ||||
| #2, N = 161 | 4 (Final Structural Model) | 18.466 | 16 | 0.297 | 0.031 | 0.051 | 0.995 |
Note: Sample #1 was used for initial analyses and specification searches. Sample #2 was used solely for confirmatory purposes.