| |
Bivariate Models
| |
Multivariate Model
c
|
|---|
| |
b
|
SE
|
t
(
df
)
|
sr
2
|
p
| |
b
|
SE
|
t
(
df
)
|
sr
2
|
p
|
|
Parental Monitoring Score
|
-.13
|
.01
|
-10.49 (1,194)
|
.08
|
<.0001
| |
-.12
|
.01
|
-9.26 (1,092)
|
.07
|
<.0001
|
|
Sex [Reference = Female]
|
.97
|
.16
|
6.14 (1,249)
|
.03
|
<.0001
| |
.69
|
.16
|
4.32 (1,092)
|
.01
|
<.0001
|
|
Race [Reference = Non-White]
|
1.37
|
.17
|
7.91 (1,246)
|
.05
|
<.0001
| |
1.26
|
.18
|
7.02 (1,092)
|
.04
|
<.0001
|
|
Religiosityb [Reference = Slightly/Not Important]
|
-.56
|
.16
|
-3.46 (1,243)
|
.01
|
.0006
| |
-.10
|
.16
|
-.59 (1,092)
|
<.01
|
.56
|
|
R
2
| | | | | | |
.14
|
|
F (df, df) p
| | | | | | |
24.82 (7, 1,092) p < .0001
|
- Effects were evaluated using the null hypothesis test of b = 0 (tested as: b/SE) which evaluates the unique contribution of a variable in a regression equation.
- a High school alcohol consumption was defined as the typical number of drinks per drinking day during the past year at the screener.
- b Religiosity was dichotomized into a binary variable (i.e., extremely/moderately vs. slightly/not).
- c As a proxy for socioeconomic status, the effect of mother's education was held constant in the multivariate model. Effect size (sr2) for each explanatory variable was as follows: parental monitoring score (.07), sex (.01), race (.04), religiosity (<.01), mother's education (<.01).
