3. Results
Of the participants, 86.0% (n = 1085) were Tinder nonrepresentatives and 14.0% (n = 176) were users. All sociodemographic variables were associated with the dating apps users group. With respect to gender, for women, the distributions by group were pnonuser = 0.87 and puser = 0.13; for men, pnonuser = 0.81 and puser = 0.19; ? 2 (1) = 6.60, p = 0.010, V = 0.07. For sexual minority participants, pnonuser = 0.75 and puser = 0.25; for heterosexual participants, pnonuser = 0.89 and puser = 0.11; ? 2 (1) = , p < 0.001, V = 0.18. Age was associated with the Tinder users group, with users being the older ones (M = , SD = 2.03) and nonusers the younger (M = , SD = 2.01), t(1259) = 5.72, p < 0.001, d = 0.46.
Dining table step one
Nonusers: players reported which have never ever made use of Tinder. Users: people advertised having actually ever made use of Tinder. d = Cohen’s d. V = Cramer’s V Decades, measured in many years. Dimensions from the line. PANAS = Negative and positive Affect Plan. MBSRQ = Physical http://datingranking.net/costa-rica-chat-room/ appearance Evaluation Level of the Multidimensional Muscles-Worry about Affairs Survey-Physical appearance Scales. SSS = Brief type of new Sex Measure. SOI-R = Sociosexual Positioning Collection-Revised. CNAS = Consensual Nonmonogamy Feelings Level. Intimate Companion = self-respect because the an intimate mate. Dissatisfaction = dissatisfaction that have love life. Preoccupation = preoccupation that have gender.
Tinder users and nonusers showed statistically significant differences in all psychosexual and psychological variables but not in body satisfaction [t(1259) = ?0.59, p = 0.557, d = ?0.05] and self-esteem as a sexual partner [t(1259) = 1.45, p = 0.148, d = 0.12]. Differences in both negative [t(1259) = 1.96, p = 0.050] and positive affects [t(1259) = 1.99, p = 0.047] were rather small, ds = 0.16. Tinder users presented higher dissatisfaction with sexual life [t(1259) = 3.73, p < 0.001, d = 0.30]; preoccupation with sex [t(1259) = 4.87, p < 0.001, d = 0.40]; and better attitudes to consensual nonmonogamy [t(1259) = 4.68, p < 0.001, d = 0.38]. The larger differences were in the three sociosexual dimensions [behavior, t(1259) = , p < 0.001, d = 0.83; attitudes, t(1259) = 5.30, p < 0.001, d = 0.43; and desire, t(1259) = 8.06, p < 0.001, d = 0.66], with Tinder users more oriented toward short-term relationships.
Results of the logistic regression model are shown in Desk 2 and were in accordance with those just reported. For this model, the explanatory capacity was small (Nagelkerke’s pseudo-R 2 = 0.10 and McFadden’s pseudo-R 2 = 0.07). Men had a higher probability of Tinder use (odds ratio, OR = 1.52, p = 0.025). Increments in age were associated with increments in the probability of use (OR = 1.25, p < 0.001). Being heterosexual reduced the probability of use (OR = 0.35, p < 0.001). To better understand the relevance of these variables, we computed the probability of Tinder use for an 18-year-old heterosexual woman and for a 26-year-old nonheterosexual man. For that woman, puser = 0.05; for that man, puser = 0.59.
Table 2
SE = standard error, OR = odds ratio, and CI = odds ratio confidence interval. Men: dummy variable where women = 0 and men = 1. Heterosexual: dummy variable where sexual minority = 0 and heterosexual = 1. Age, measured in years. Bold values correspond to statistically significant coefficients (p < 0.05).
Result of the newest regression models having Tinder use qualities in addition to their descriptives get in the Desk step three . Tinder pages was actually utilizing the application getting cuatro.04 months and you will minutes a week. Pages came across a hateful regarding dos.59 Tinder relationships traditional and had step one.thirty two intimate dating. Since the mediocre, employing the brand new software led to 0.twenty seven close relationships and you may 0.85 relationships.