The ANOVA results evolving the nominal predictor variables indicated that: The effect of participants’ sex on the PTU mean score was significant only for male vs. non-binary and female vs. non-binary individuals (F[2, 1384) = , p 2 = 0.039). Indeed, Tukey post-hoc comparisons test showed that female participants’ PTUS mean score was significantly lower than that of non-binary participants (1.77 [SD = 0.63] vs. 1.91 [SD = 0.70]) and that male participants’ PTUS mean score was significantly higher than that of non-binary participants (2.04 [SD = 0.74] vs. 1.91 [SD = 0.70]). There was no significant difference between male and female participants’ PTU mean score (2.04 [SD = 0.74] vs. 1.77 [SD = 0.63]). Also, the effect of the participants’ marital status on the PTUS mean score was not significant (F[3, 1383) = 2.233, p =.083, ?p 2 = 0.005). 951, p =.387, ?p 2 = 0.001). Finally, participants who were looking for Tinder online contacts that can lead to offline contacts had a higher PTUS mean score (2.05, SD = 0.62) than those who were not (1.76, SD = 0.74), F(1, 1385) = , p 2 = 0.043)
Multivariate dating (predictors’ strengths analytics)
Dining table 3 inform you the fresh predictor variables into the positions order (host reading model efficiency). The newest efficiency metrics of your servers reading model toward test-set try the following: R dos (part of the fresh variance about consequences that’s told me of the the fresh predictors) = 58%; MSE (suggest squared error) = 0.19.
As the found into the Table step three, one of several 30 predictors off PTU, the fresh percent upsurge in MSE (%IncMSE) ranged of a top of (dealing objective to utilize Tinder) to a minimal from 0.13 (feeling looking to impulsivity), which have a median value of 5.21 (companion selectiveness toward Tinder).