Skip to main content
. 2012 Jun 18;2012:104304. doi: 10.1100/2012/104304

Table 4.

Logistic regression analyses on students' Internet addiction.

B Odds ratio P
First block
 Age −0.04 0.96 .59
 Gender −0.13 0.88 .18
Second block
 Immigration status 0.19 1.21 .17
 Family economic status (CSSA) 0.09 1.10 .66
Third block
 IA-Wave 1 2.02 7.55 .00

Notes. Dependent variable: IA-Wave 2: whether the student meets the criterion of Internet addiction at wave 2.

Gender: 1 = female; 0 = male.

Immigration status: 1 = immigrant students; 0 = local student.

Family economic status: 1 = Receiving Comprehensive Social Security Assistance (CSSA); 2 = not receiving CSSA.

IA-Wave 1: 1= the student met the criterion of Internet addiction at wave 1; 0 = the student did not meet the criterion of Internet addiction at wave 1.