Table 3.
Multi-level model parameter estimates
| Parameters | Est. | SE | t | p |
|---|---|---|---|---|
| Intercept | 3.01 | .92 | 3.25 | .002 |
| Time | .07 | .11 | .63 | .530 |
| Time2 | −.02 | .03 | −.55 | .586 |
| Sex | .39 | .58 | .67 | .508 |
| Marital Status | −.95 | .58 | −1.62 | .109 |
| Evoked Pain Sensitivity | .73 | .64 | 1.15 | .254 |
| Sex * Time2 | .04 | .02 | 2.08 | .041 |
| Marital Status * Time2 | .002 | .02 | .09 | .931 |
| Evoked Pain Sensitivity * Time2 | −.03 | .02 | −1.47 | .147 |
| Intercept Variance | 4.65 | .83 | ||
| Time2 Slope Variance | .004 | .00 | ||
| Intercept- Time2 Slope Covariance | .02 | .02 | ||
| Residual Variance | 1.19 | .09 | ||
Note. Wald tests are invalid for variance estimates in multi-level model and are omitted from the table.
*
The Sex Time2 interaction was statistically significant even before entering all covariates.