Detailed analytics about sexual practices of one’s total decide to try and the 3 subsamples off productive pages, previous profiles, and you will low-profiles
Getting solitary decreases the quantity of exposed full 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.
Productivity from linear regression model entering group, relationship software usage and you will aim out-of set up details due to the fact predictors to own what number of safe complete sexual intercourse’ people one of productive pages
Production off linear regression design typing demographic, dating software utilize and you may purposes out-of installation details because the predictors getting exactly how many secure full sexual intercourse’ lovers one of energetic users
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, Hamm sexy women 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 for sexual couples, numerous years of app use, being heterosexual had been seriously for the amount of unprotected complete sex lovers
Efficiency regarding linear regression model entering market, matchmaking programs use and you will objectives regarding set up variables as the predictors having the amount of exposed full sexual intercourse’ partners one of productive pages
Wanting sexual partners, years of application application, being heterosexual had been positively with the number of unprotected full sex lovers
Efficiency out-of linear regression model entering market, dating apps utilize and you will objectives off construction variables because predictors to possess just how many exposed full sexual intercourse’ lovers one of energetic 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(1, 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 from hetero and homosexual orientation) were negatively associated with the frequency of hook-ups. Results are reported in Table 7 .