Differences in Sexual Behaviours Certainly Matchmaking Apps Users, Former Pages and you can Non-users

Detailed statistics related to sexual behaviors of one’s total sample and you will the three subsamples regarding effective profiles, previous users, and low-users

Are solitary decreases the amount of unprotected complete sexual intercourses

In regard to the number of partners with whom participants had protected full sex during the last year, the ANOVA revealed a significant difference between user groups (F_{(2, 1144)} = , P 2 = , Cramer’s V = 0.15, P Figure 1 represents the theoretical model and the estimate coefficients. The model fit indices are the following: ? 2 = , df = 11, P 27 the fit indices of our model are not very satisfactory; however, the estimate coefficients of the model resulted statistically significant for several variables, highlighting interesting results and in line with the reference literature. In Table 4 , estimated regression weights are reported. The SEM output showed that being active or former user, compared to being non-user, has a positive statistically significant effect on the number of unprotected full sexual intercourses in the last 12 months. The same is for the age. All the other independent variables do not have a statistically significant impact.

Yields of linear regression design typing group, dating apps use and you may motives from construction parameters since predictors getting the amount of protected full sexual intercourse’ people one of energetic profiles

Efficiency away from linear regression model entering group, matchmaking apps usage and you will motives out-of setting up variables as predictors for what number of protected full sexual intercourse’ lovers certainly energetic profiles

Hypothesis 2b A second multiple regression analysis was run to predict the number of unprotected full sex partners for active users. The number of unprotected full sex partners was set as the dependent variable, while the same demographic variables and dating apps usage and their motives for app installation variables used in the first regression analysis were entered as covariates. The final model accounted for a significant proportion of the variance in the number of unprotected full sex partners among active users (R 2 = 0.16, Adjusted R 2 = 0.14, F-change_{(step 1, 260)} = 4.34, P = .038). In contrast, looking for romantic partners or for friends, and being male were negatively associated with the number of unprotected sexual activity partners. Results are reported in Table 6 .

Looking sexual partners, several years of software use, and being heterosexual had been absolutely from the amount of exposed full sex lovers

Productivity from linear regression model typing demographic, relationship apps incorporate and objectives out-of installment parameters while the predictors to own what number of exposed complete sexual intercourse’ lovers certainly active pages

Trying to find sexual people, several years of application utilization, and being heterosexual was indeed certainly associated with quantity of unprotected complete sex couples

Output from linear regression model entering demographic, dating programs usage and you may intentions off installment details since predictors for how many unprotected complete sexual intercourse’ partners among active pages

Hypothesis 2c A third multiple regression analysis was run, including demographic variables and apps’ pattern of usage variables together with apps’ installation motives, to predict active users’ hook-up frequency. The hook-up frequency was set as the dependent variable, while the same demographic variables and dating apps usage variables used in the previous regression analyses were entered as predictors. The final model accounted for a significant proportion of the variance in hook-up frequency among active users (R 2 = 0.24, Adjusted R 2 = 0.23, F-change_{(step one, 266)} = 5.30, P = .022). App access frequency, looking for sexual partners, having a CNM relationship style were positively associated with the frequency of hook-ups. In contrast, being heterosexual and being of another sexual orientation (different Vichy in France brides from hetero and homosexual orientation) were negatively associated with the frequency of hook-ups. Results are reported in Table 7 .