Table 3.
Predictors of Tinder problematic use, ranked in decreasing order of importance
| Predictors | %IncMSE |
|---|---|
| Coping motive to use Tinder | 30.18 |
| Number of online contacts | 24.82 |
| Enhancement motive to use Tinder | 21.66 |
| Number of offline contacts | 14.41 |
| Social motive to use Tinder | 13.89 |
| Number of “Matches” | 12.23 |
| Satisfaction with Tinder offline dates | 9.94 |
| Anxious attachment style | 8.41 |
| On Tinder looking for uncommitted sex partner | 7.78 |
| Looking for Tinder online contacts that can lead to offline contacts | 7.78 |
| On Tinder looking for committed romantic partner | 7.44 |
| Loneliness | 7.43 |
| Negative urgency impulsivity | 6.47 |
| Number of months using Tinder | 5.91 |
| Partner selectiveness on Tinder | 5.21 |
| Satisfaction with Tinder use | 4.43 |
| Dyadic sexual desire | 3.79 |
| Depressive mood | 2.90 |
| Positive urgency impulsivity | 2.80 |
| Sexual orientation | 2.03 |
| Age | 1.78 |
| Self-esteem | 1.33 |
| Avoidant attachment style | 1.08 |
| Lack of perseverance impulsivity | 1.06 |
| Lack of premeditation impulsivity | 0.77 |
| Sex | 0.48 |
| Solitary sexual desire | 0.42 |
| Marital status | 0.19 |
| Sensation seeking impulsivity | 0.13 |
N = number of participants; %InMSE = per cent increase in mean squared error, a statistical measure indicating the level on the predictor variable importance in the regression machine learning algorithm