Table 3.
Results from final scoring MNLFA model testing covariate effects on factor mean and variance.
| Covariate Effect | Estimate (se) | t | p |
|---|---|---|---|
| Factor Mean | |||
| 1. Age | −0.70 (.14) | −5.04 | <.0001 |
| 2. Age2 | −0.63 (.25) | −2.58 | 0.0098 |
| 3. Age3 | 0.56 (.18) | 3.12 | 0.0018 |
| 4. MLS | −0.86 (.08) | −10.87 | <.0001 |
| 5. AHBP | −0.28 (.12) | −2.28 | 0.0227 |
| 6. Gender | −0.48 (.08) | −5.82 | <.0001 |
| 7. COA | 0.23 (.06) | 4.07 | <.0001 |
| 8. Age by MLS | 0.85 (.15) | 5.81 | <.0001 |
| 9. Age by AHBP | −3.77 (.91) | −4.13 | <.0001 |
| 10. Age2 by AHBP | 4.84 (1.64) | 2.95 | 0.0033 |
| 11. Age3 by AHBP | −1.73 (.76) | −2.29 | 0.0222 |
| 12. Age by Gender | 0.25 (.16) | 1.58 | 0.1140 |
| 13. Age2 by Gender | 1.03 (.31) | 3.29 | 0.0010 |
| 14. Age3 by Gender | −0.74 (.23) | −3.18 | 0.0015 |
| Factor Variance | |||
| 15. Age | 0.02 (.10) | 0.21 | 0.8372 |
| 16. AHBP | −0.13 (.19) | −0.66 | 0.5106 |
| 17. Age by AHBP | 0.80 (.27) | 2.90 | 0.0038 |
Note: Age, Age2 and Age3 refer to the linear, quadratic and cubic age trends respectively. Age is centered at 18 years old and divided by 10 to control the magnitude of the polynomial terms. The parameter estimates for the factor mean effects are on a standard normal scale when all covariates are equal to zero.