Table 1.
Parameter estimates from mediational models predicting the severity of (latent) alcohol involvement, with social-cognitive variables as mediators.
| Mediational Models Using One of Six Social-Cognitive Mediators |
||||||
|---|---|---|---|---|---|---|
| Norms | Motives | Emotional Fluidity Expectancies | Impairment Expectancies | Positive Attitudes | Negative Attitudes | |
| Effects on the Mediator | ||||||
| Male gender | .13 (.03)‡ | .23 (.05)‡ | .16 (.07)* | .03 (.08) | .14 (.02)‡ | .01 (.03) |
| Border Residence | −.01 (.04) | −.06 (.07) | −.21 (.10)* | −.12 (.11) | −.09 (.03)† | .01 (.03) |
| Young Age (18-29) | .09 (.04)* | .01 (.06) | −.17 (.10) | −.28 (.09)† | −.01 (.03) | −.05 (.03) |
| Border Youth (Border × 18-29) | .06 (.06) | .13 (.09) | .21 (.14) | .12 (.13) | .05 (.04) | −.04 (.05) |
| Effects on Drinking Severity | ||||||
| Male gender | .89 (.09)‡ | .85 (.10)‡ | .90 (.09)‡ | .92 (.09)‡ | .79 (.09)‡ | .93 (.09)‡ |
| Border Residence | .15 (.11) | .19 (.11) | .19 (.11) | .12 (.10) | .24 (.11)* | .12 (.11) |
| Young Age (18-29) | −.01 (.12) | .10 (.11) | .16 (.12) | .11 (.11) | .12 (.11) | .08 (.12) |
| Border Youth (Border × 18-29) | .41 (.18)* | .36 (.18)* | .36 (.17)* | .41 (.17)* | .38 (.17)* | .40 (.18)* |
| Mediator | 1.46 (.13)‡ | .95 (.09)‡ | .33 (.05)‡ | .04 (.05) | 1.28 (.16)‡ | −.49 (.13)‡ |
| Path Decomposition | b | 95% CI | b | 95% CI | b | 95% CI | b | 95% CI | b | 95% CI | b | 95% CI |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Border Youth → Mediator → Drinking | .08 | [−.11,.26] | .12 | [−.06,.28] | .07 | [−.01, .17] | .01 | [.00,.03] | .06 | [−.03,.15] | .02 | [−.02,.08] |
| Border Youth → Drinking | .41* | [.05,.77] | .36* | [.03,.76] | .36* | [.02,.71] | .41* | [.09,.74] | .38* | [.06,.75] | .40* | [.09,.77] |
| Total | .49* | [.12,.91] | .48* | [.12,.89] | .43* | [.10,.79] | .41* | [.10,.76] | .44* | [.10,.81] | .42* | [.10,.76] |
Note. Estimates in the upper portion of the table are linear regression coefficients. Path decomposition estimates represent the unique effect of border youth on severity of drinking via the listed path (standard errors are bootstrapped and confidence intervals are bias-corrected). Columns correspond to distinct mediational models, using the column label as the mediator. Effects of the mediator on the latent drinking variable are provided in cells corresponding to the “mediator” row (under “Effects on Severity of Alcohol Involvement”). For example, for each unit increase in the drinking motives measure, the latent drinking variable increased by .95 units. Note also that because their interaction is modeled, the “Border Residence” component term represents the simple effect of border residence among older residents; likewise, the “Young Age” term represents the simple effect of young age among non-border residents.
p<.05
p<.01
p<.001.