Table 2.
Unadjusted associations between demographics, Internet shopping behaviour, psychosocial factors, financial literacy and Problematic Internet Shopping.
| Variables | Results on association |
|---|---|
| Demographics | |
| Age | r = − 0.26, p < 0.001 |
| Sex | t958 = − 2.82, p = 0.005 |
| Geographic region of birth | F(5, 971) = 136.17, p < 0.001 |
| Marital status | F(2, 957) = 4.27, p = 0.014 |
| Student status | t958 = − 6.97, p < 0.001 |
| Employment status | t958 = 6.10, p < 0.001 |
| Highest education level | F(2, 957) = 9.35, p < 0.001 |
| Personal income rating (1–12) | r = 0.36, p < 0.001 |
| Internet shopping behaviour | |
| Shopping frequency | F(4, 955) = 22.61, p < 0.001 |
| Shopping for luxury goods | t958 = 11.86, p < 0.001 |
| Shopping duration per week (hours) | r = 0.25, p < 0.001 |
| Spending on shopping/month (USD) | r = 0.15, p < 0.001 |
| Psychosocial factors | |
| Self-efficacy | r = 0.16, p < 0.001 |
| Self-regulation impulsivity | r = 0.58, p < 0.001 |
| Self-regulation goal setting | r = 0.36, p < 0.001 |
| Depression | r = 0.46, p < 0.001 |
| Anxiety | r = 0.63, p < 0.001 |
| Stress | r = 0.51, p < 0.001 |
| Financial literacy | r = − 0.39, p < 0.001 |