Table 2.
* Hierarchical regression models predicting neurochemical characteristics using behavioral variables including food entries (Step 1) and average alcohol consumption (Step 2)
| Beta | t | Partial r | R2 Change | F changeA | Adj. R2 | |
|---|---|---|---|---|---|---|
| Predicting 40 Pulse response with behavioral measures | ||||||
| Step 1 | 0.02 | 1.13 (1,49) | 0.003 | |||
| AVG Entries | 0.15 | 1.06 | 0.15 | |||
| Step 2 | 0.09 | 5.05* (1,48) | 0.079 | |||
| AVG Entries | 0.09 | 0.68 | 0.10 | |||
| AVG G/KG | 0.31 | 2.25 * | 0.31 | |||
| Predicting DAT half-life at baseline with behavioral measures | ||||||
| Step 1 | 0.01 | .53 (1,44) | -0.01 | |||
| AVG Entries | 0.11 | 0.07 | 0.11 | |||
| Step 2 | 0.08 | 3.63 (1,43) | 0.05 | |||
| AVG Entries | 0.16 | 1.05 | 0.16 | |||
| AVG G/KG | -0.28 | -1.91 + | -0.28 | |||
| Predicting DAT half-life after nomifensine with behavioral measures | ||||||
| Step 1 | 0.11 | 4.72* (1,40) | 0.08 | |||
| AVG Entries | -0.33 | -2.17 * | -0.33 | |||
| Step 2 | 0.09 | 4.35* (1,39) | 0.15 | |||
| AVG Entries | -0.28 | -1.93 | -0.30 | |||
| AVG G/KG | -0.30 | -2.09 * | -0.32 | |||
Degrees of freedom in parentheses
Degrees of freedom in parentheses
p<.05
p=.06