Table 2.
Hierarchical regressions: Coping-related drinking motives and behavioral economic indices predicting alcohol problems and consumption
| Alcohol Problems | Alcohol Consumption | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
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| Variable | Beta (S.E.) | β | t | p | ΔR2 | Beta (S.E.) | β | t | p | ΔR2 |
| Step 1 | ||||||||||
| Gender | −1.14 (1.44) | −.09 | −.79 | .43 | .14 | −.31 (.33) | −.10 | −.93 | .36 | .01 |
| Age | −.19 (.27) | −.07 | −.68 | .50 | -- | .03 (.06) | .05 | .42 | .68 | |
| Alcohol Consumption | 1.54 (.47) | .47 | .35 | .00* | -- | -- | -- | -- | -- | |
| Step 2 | ||||||||||
| Coping Motives | .38 (.15) | .29 | 2.45 | .02* | .06 | .12 (.03) | .43 | 4.21 | .00 | .18 |
| Step 3 (separate) | ||||||||||
| Access to Reward | −.18 (.14) | −.14 | −1.32 | .19 | .02 | −.02 (.03) | −.07 | −.63 | .53 | .00 |
| DD | 4.77 (2.40) | .20 | 1.99 | .05 | .04* | .21 (.54) | .04 | .38 | .71 | .00 |
| CFC | −.20 (.09) | −.23 | −2.23 | .03 | .05* | −.01 (.02) | −.07 | −.67 | .51 | .00 |
| Breakpoint | .05 (.13) | .04 | .38 | .71 | .00 | .05 (.03) | .21 | 1.97 | .05 | .04* |
| Intensity | −1.35 (1.37) | −.12 | −.98 | .33 | .01 | 1.01 (.24) | .43 | 4.21 | .00 | .15** |
| Omax | −.18 (.46) | −.04 | −.39 | .69 | .00 | .2(.10) | .23 | 2.26 | .03 | .05* |
| Elasticity | 12.65 (10.26) | .13 | 1.23 | .22 | .02 | −3.88 (2.24) | −.19 | −1.73 | .09 | .03 |
Note. CFC=Consideration of future consequences; Delay discounting = ratio of choice for immediate v. delayed rewards on the 8-item delay discounting measure; Access to reward = environmental suppressors subscale of the RPI; Breakpoint = price when consumption is 0; intensity = consumption at minimum price; Omax = maximum expenditure; Elasticity = slope of the demand curve
*
p ≤ .05
**
p ≤ .005., S.E. = Standard Error.