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Table 5 Results of hierarchical multivariates regression analysis

From: Gambling symptoms, behaviors, and cognitive distortions in Japanese university students

 

Total (N = 1,471)

Gambler (N = 342)

Step 1 (ΔR2 = 43*)

Step 2 (ΔR2 = 07*)

Step 1 (ΔR2 = 37*)

Step 2 (ΔR2 = 10*)

b

SE

β

b

SE

β

b

SE

β

b

SE

β

Sex

-.37

.07

-.11*

-.28

.07

-.08

-.51

.24

-.10*

-.38

.23

-.07

Age

.01

.03

.06

.01

.03

.01

-.04

.08

-.03

-.02

.07

-.01

Income

.00

.00

.03

.00

.00

.02

.00

.00

.01

.00

.00

.01

Gambling behavior (number of days)

.20

.01

.46*

.19

.01

.38*

.20

.02

.48*

.15

.02

.37*

Gambling behavior (amount of money)

.00

.00

.06

.00

.00

.06

.00

.00

.04

.00

.00

.03

Gambling behavior (gambling history)

.02

.00

.20*

.02

.00

.15*

.01

.00

.14*

.01

.00

.07

GRCSfactor 1 (illusion of control)

   

-.02

.01

-.06

   

.01

.03

.02

GRCSfactor 2 (predictive control)

   

.02

.01

.08

   

.04

.03

.01

GRCSfactor 3 (interpretative bias)

   

-.01

.01

-.04

   

-.02

.03

-.04

GRCSfactor 4 (gambling expectancy)

   

.07

.01

.19*

   

.08

.03

.19

GRCSfactor 5 (perceived inability to stop gambling)

   

.04

.02

.13*

   

.04

.02

.12

  1. SOGS South Oaks Gambling Screen, GRCS Gambling Related Cognitions Scale
  2. *p <.05