Table 2.
Model Fitting Results
| Model | Flexibility | Fine motor | Balance |
|---|---|---|---|
| −2LL (df) | −2LL (df) | −2LL (df) | |
| Initial model testing | |||
| 1. Full model | 5,248 (3,057) | 6,870 (3,018) | 6,172 (2,951) |
| 2. Equate all across sex | 5,294 (3,085)* | 6,882 (3,046) | 6,202 (2,979) |
| 3. Equate LGCM across sex | 5,265 (3,061)** | 6,873 (3,022) | 6,177 (2,955) |
| 4. Equate biometric across sex | 5,280 (3,081) | 6,879 (3,042) | 6,199 (2,975) |
| Follow-up testing of LGCM | |||
| 5. Equate I across sex | 5,253 (3,058)* | 6,870 (3,019) | 6,174 (2,952) |
| 6. Equate P across sex | 5,258 (3,058)** | 6,871 (3,019) | 6,173 (2,952) |
| 7. Equate S1 across sex | 5,253 (3,058)* | 6,872 (3,019) | 6,174 (2,952) |
| 8. Equate S2 across sex | 5,252 (3,058)* | 6,871 (3,019) | 6,178 (2,952) |
| Follow-up testing of biometric | |||
| 9. Equate all A across sex | 5,249 (3,063) | 6,873 (3,024) | 6,220 (2,957)** |
| 10. Drop all A for women | 5,248 (3,063) | 6,870 (3,024) | 6,185 (2,957)* |
| 11. Drop all A for men | 5,248 (3,063) | 6,872 (3,024) | 6,172 (2,957) |
Notes. LGCM = latent growth curve model.
*Difference in model fit vs Model 1 is significant at p < .05.
**Difference in model fit vs Model 1 is significant at p < .01.