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Table 4 Results of linear regression models predicting alcohol consumption in college a among 1,086 first-year college students c.

From: High school drinking mediates the relationship between parental monitoring and college drinking: A longitudinal analysis

 

Bivariate Models

 

Model 1

 

Model 2

 

Model 3

 

b

SE

t ( df )

sr 2

p

 

b

SE

t ( df )

sr 2

p

 

b

SE

t ( df )

sr 2

p

 

b

SE

t ( df )

sr 2

p

Parental Monitoring

-.11

.01

-8.26 (1,189)

.05

<.0001

 

-.08

.01

-6.26 (1,075)

.03

<.0001

 

-.01

.02

-.52 (1,073)

<.01

.60

 

-.02

.01

-1.43 (1,074)

<.01

0.15

High School Drinking a

.66

.02

30.05 (1,243)

.42

<.0001

       

.63

.10

6.01 (1,073)

.02

<.0001

 

.58

.02

23.52 (1,074)

.27

<.0001

Interaction [PM * HS Drinking]

            

.00

.00

-.50 (1,073)

<.01

.62

      

Sex [Reference= Female]

1.69

.16

10.74 (1,245)

.08

<.0001

 

1.62

.16

10.03 (1,075)

.07

<.0001

 

1.11

.13

8.33 (1,073)

.03

<.0001

 

1.10

.13

8.32 (1,074)

.03

<.0001

Race [Reference= Non-White]

1.69

.18

9.62 (1,243)

.07

<.0001

 

1.45

.18

7.96 (1,075)

.05

<.0001

 

.72

.15

4.75 (1,073)

.01

<.0001

 

.72

.15

4.76 (1,074)

.01

<.0001

Religiosityb [Reference= Slightly/Not Important]

-.53

.16

-3.22 (1,238)

.01

.001

 

-.03

.16

-.19 (1,075)

<.01

.85

 

.04

.13

.31 (1,073)

<.01

.76

 

.04

.13

.32 (1,074)

<.01

0.75

Living with Parents/Relatives

-2.50

.32

-7.82 (1,245)

.05

<.0001

 

-2.21

.33

-6.63 (1,075)

.03

<.0001

 

-1.32

.27

-4.81 (1,073)

.01

<.0001

 

-1.32

.27

-4.81 (1,074)

.01

<.0001

Time in college (months)

-.03

.04

-.81 (1,245)

<.01

.42

 

-.05

.03

-1.49 (1,075)

<.01

.14

 

.03

.03

.98 (1,073)

<.01

.33

 

.03

.03

1.00 (1,074)

<.01

0.32

Combined SAT/100

.29

.07

4.27 (1,233)

.01

<.0001

 

-.12

.07

-1.60 (1,075)

<.01

.11

 

.04

.06

.59 (1,073)

<.01

.55

 

.04

.06

.60 (1,074)

<.01

0.55

R 2

 

.22

 

.48

 

.48

F (df, df) p

      

30.02 (10, 1,075) p < .0001

 

83.92 (12, 1,073) p < .0001

 

91.59 (11, 1,074) p < .0001

  1. 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.
  2. a High school and college drinking were defined as the number of drinks per drinking day during the past year.
  3. b Religiosity was dichotomized into a binary variable (i.e., extremely/moderately vs. slightly/not important).
  4. c As a proxy for socioeconomic status, the effect of mother's education was held constant in the multivariate models.