Table 5.
Conditional Models: Predicting Parent Involvement Trajectoriesa
| Parent Involvement | ||||
|---|---|---|---|---|
|
| ||||
| Level | Linear Change | |||
| Est. | SE | Est. | SE | |
| Parentb | −.12*** | .01 | −.02 | .06 |
| Surgency | .02 | .02 | −.06 | .08 |
| Negative Affectivity | .001 | .02 | .11 | .08 |
| Regulation | .01 | .02 | −.02 | .09 |
| Self-Distraction | −.03 | .12 | .39 | .73 |
| Self-Comforting | −.16 | .12 | 1.05 | .65 |
| Parent X Surg | .01 | .01 | −.11 | .07 |
| Parent X NegAff | −.02 | .03 | .08 | .08 |
| Parent X Reg | −.04* | .02 | .09 | .09 |
| Parent X SlfDistract | −.04 | .12 | .02 | .71 |
| Parent X SlfComfort | .02 | .12 | .06 | .63 |
*
Note: = p< .05,
**
= p < .01,
***
= p < .001.
a
Parent order, demographic risk, and parent sensitivity were entered in all analyses as covariates.
b
Parent was coded as −1 (mother) and 1 (father) so that the intercept and slope indicate an average level and rate of change in parent involvement.
Surg = Surgency; NegAff = Negative Affectivity; Reg =Regulation; SlfDistract = Self-Distraction; SlfComfort = Self-Comforting