Table 4.
Marijuana Use Motives Predicting Affect-Relevant Factors
| ΔR² | t (each predictor) | β | sr² | p | |
|---|---|---|---|---|---|
| Criterion Variable: Positive Affect1 | |||||
| Step 1 | .06 | ns | |||
| Gender3 | −1.17 | −.10 | .00 | ns | |
| Age at Onset of Marijuana Use | −.90 | −.07 | .00 | ns | |
| Marijuana Use4 | 1.41 | .12 | .01 | ns | |
| Tobacco Use5 | −2.45 | −.21 | .04 | < .05 | |
| Alcohol Consumption6 | .31 | .02 | .00 | ns | |
| Step 2 | .16 | < .001 | |||
| MMM – Enhancement7 | 4.61 | .49 | .13 | < .001 | |
| MMM – Conformity8 | .83 | .07 | .00 | ns | |
| MMM – Expansion9 | −.06 | −.00 | .00 | ns | |
| MMM – Coping10 | −3.13 | −.30 | .06 | < .01 | |
| MMM – Social11 | −.39 | −.03 | .00 | ns | |
| Criterion Variable: Negative Affect2 | |||||
| Step 1 | .13 | .001 | |||
| Gender | 1.38 | .11 | .01 | ns | |
| Age at Onset of Marijuana Use | 1.03 | .08 | .00 | ns | |
| Marijuana Use | −1.17 | −.09 | .00 | ns | |
| Tobacco Use | 4.56 | .38 | .13 | < .001 | |
| Alcohol Consumption | .62 | .05 | .00 | ns | |
| Step 2 | .11 | < .01 | |||
| MMM – Enhancement | −.93 | −.09 | .00 | ns | |
| MMM – Conformity | 1.90 | .16 | .02 | .05 | |
| MMM – Expansion | .43 | .04 | .00 | ns | |
| MMM – Coping | 3.42 | .33 | .08 | .001 | |
| MMM – Social | −1.38 | −.13 | .01 | ns | |
Note: β = standardized beta weight
sr² = Squared semi-partial correlation
Positive Affect Negative Scale – Positive Affect subscale
Positive Affect Negative Affect Scale – Negative Affect subscale
Dichotomous Variable (1 = male; 2 = female)
Marijuana History Questionnaire – Marijuana Use, Past 30 Days
Smoking History Questionnaire – Number of Cigarettes Smoked per Day
Alcohol Assessment: Alcohol Volume × Frequency of Use
Marijuana Motives Measure – Enhancement Factor
Marijuana Motives Measure – Conformity Factor
Marijuana Motives Measure – Expansion Factor
Marijuana Motives Measure – Coping Factor
Marijuana Motives Measure – Social Factor