Table 3.
Multiple regression analysis of dating app behavior.
| Apps |
Apps usage track |
Daily time on apps |
|||||||
|---|---|---|---|---|---|---|---|---|---|
| R2 | F | P | R2 | F | p | R2 | F | p | |
| Step 1 | .107 | .063 | .046 | ||||||
| Step 2 | .130 | 3.83 | .023 | .067 | .698 | .499 | .056 | 1.58 | .208 |
| Step 1 | b | SE | P | b | SE | p | b | SE | p |
| Intercept Gender Age Relationship |
1.545 −0.239 0.006 0.727 |
0.381 0.135 0.009 0.142 |
< 0.001 .076 .529 < 0.001 |
6.370 −10.530 1.080 9.780 |
14.851 5.246 0.364 5.517 |
.668 .046 .003 .077 |
99.770 −9.720 −1.040 44.310 |
37.004 13.070 0.907 13.746 |
.007 .458 .254 .001 |
| Step 2 | b | SE | P | b | SE | p | b | SE | p |
| Intercept Gender Age Relationship Gender x Age Gender x Relationship |
1.581 −0.191 0.008 0.465 −0.007 0.807 |
0.482 0.730 0.012 0.172 0.019 0.299 |
.001 .794 .526 .007 .710 .007 |
7.587 −15.698 1.003 13.957 0.232 −13.051 |
18.972 28.754 0.468 6.757 0.747 11.766 |
.690 .586 .033 .040 .757 .268 |
149.964 −132.054 −2.320 42.923 3.284 −0.033 |
47.130 71.430 1.160 16.790 1.860 29.230 |
.002 .066 .047 .011 .078 .999 |
Note. Gender: 0 = male; 1 = female; Relationship: 0 = no; 1 = yes; Apps: number of dating apps used; Apps usage track: Length of time using apps, in months; Daily time on apps: Daily time spent on dating apps, in minutes.