The brand new analyses were did having R 4.0.0 (R Foundation for Mathematical Computing, Vienna, Austria) . Zero destroyed research was present in our very own databases. The fresh new discover databases and you may password documents for these analyses appear during the Open Technology Design data source (
Dining table step one
Age, measured in years. Men: dummy variable where women = 0 and men = 1. Single: dummy variable where in a relationship = 0 and single = 1. Sexual minority: dummy variable where heterosexual = 0 and sexual minority = 1. ––– = Mean and standard deviation for apps use groups are not reported as this variable was nominal with three levels. Bold values correspond to statistically significant associations (p < 0.05).
Nonusers: users claimed which have never ever used relationships software. Earlier users: professionals claimed with put matchmaking programs, not within the last 90 days. Latest profiles: People claimed having made use of relationships apps during the last 90 days. Decades, measured in years. Size by line.
Of the participants, 71.5% (n = 1219) were nonusers, 15.8% (n = 270) were earlier in the day dating apps users, and 12.7% (n = 216) were most recent users. All sociodemographic variables were associated with the dating apps users groups. With respect to gender, for women, the distributions by group was pnonuser = 0.75, pprevious = 0.15, and pcurrent = 0.10; for men, pnonuser = 0.65, pprevious = 0.17, and pcurrent = 0.18; ? 2 (2) = , p < 0.001, V = 0.12. For those in a relationship, pnonuser = 0.79, pprevious = 0.17, and pcurrent = 0.04; for single participants, pnonuser = 0.65, pprevious = 0.15, and pcurrent = 0.20; ? 2 (2) = , p < 0.001, V = 0.24. For heterosexual participants, pnonuser = 0.79, pprevious = 0.13, and pcurrent = 0.08; for sexual minority participants, pnonuser = 0.55, pprevious = 0.23, and pcurrent = 0.23; ? 2 (2) = , p < 0.001, V = 0.25. Age was associated with the dating apps users groups, with previous users being the older ones (M = , SD = 2.16) and nonusers the youngers (M = , SD = 1.98), F(2, 1702) = , p < 0.001, R = 0.24.
Personality means differed by dating apps users group for all considered variables (all ps ? 0.017), except for Extraversion, F(2, 1702) = 0.00, p = 0.998. All effect sizes could be considered as rather small (MR = 0.07, range [.00, 0.10]). The higher associations were with respect to Open-Mindedness (higher mean for current users) and Conscientiousness (higher mean for nonusers). We note that Conscientiousness and Dark Core showed a high negative correlation (r = –0.59, p < 0.001).
Results of the multinomial logistic regression models are shown in Table 3 . The explanatory capacity of the model was moderate (Nagelkerke’s pseudo-R 2 = 0.25, McFadden’s pseudo-R 2 = 0.14). The explanatory ability was basically provided by the sociodemographic information. Being a member of a sexual minority greatly increased the probability of dating apps use (ORprevious = 3.08, p < 0.001; ORcurrent = 4.11, p < 0.001). Men had a higher probability of use (ORprevious = 1.44, p = 0.029; ORcurrent = 1.71, p = 0.002). Increments in age https://datingranking.net/pl/friendfinder-recenzja were associated with increments in the probability of use (ORprevious = 1.42, p < 0.001; ORcurrent = 1.27, p < 0.001). Being single showed a very interesting result, as it had an an important impact on the probability of being a current user (ORcurrent = 6.48, p < 0.001), but not with being a previous user (ORprevious = 1.22, p < 0.177). To better understand the relevance of these variables, we computed the probability of belonging to each group for an 18-year-old heterosexual woman in a relationship and for a 26-year-old single non-heterosexual man (both with mean scores in all personality variables). For that woman, pnonuser = 0.95, pprevious = 0.04, and pcurrent = 0.01; for that man, pnonuser = 0.12, pprevious = 0.45, and pcurrent = 0.44. All of the personality scores showed statistically non-significant coefficients (ORs in the range [0.86, 1.19], ps ? 0.058), except for Open-Mindedness with current use (ORprevious = 1.22, p = 0.026).