Table 2.
Predictor | γ | SE |
---|---|---|
Intercept | 8.55*** | .49 |
Gender | .60* | .24 |
Age | −.08* | .03 |
Marital status | −.47 | .30 |
Part time versus full time | 1.87*** | .33 |
Military status | −1.10* | .52 |
Time | .37* | .16 |
Note. Convergence criterion = .001. Gender (male = −1, female = 1), marital status (unmarried = −1, married = 1), and full- versus part-time student status (−1 = part time, 1 = full time) were effect coded. Military status (0 = civilian, 1 = student service member/veteran) was dummy coded. Between-person variables (Level 2), such as gender, age, marital status, part-time versus full-time status, and military status, estimate effects on level of the outcome, which was centered to Time 1. Within-person variables (Level 1), such as time, estimate the rate of change in the outcome.
p < .05.
p < .001.