Descriptive statistics pertaining to sexual routines of your own total take to and you may the three subsamples out of energetic users, previous profiles, and non-profiles
Are solitary decreases the level 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.
Production out of linear regression model entering group, relationship programs need and you will aim out-of installation parameters since predictors having how many protected full sexual intercourse’ people among energetic users
Production out of linear regression model entering group, matchmaking programs utilize and you may purposes out of installment details as predictors to have how many safe complete sexual intercourse’ partners among active 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 .
Wanting sexual people, numerous years of software usage, and being heterosexual was absolutely in the level of unprotected complete sex couples
Production out of linear regression model entering demographic, matchmaking programs use and you can intentions regarding installation parameters because predictors for exactly how many unprotected complete sexual intercourse’ partners certainly one of effective users
Shopping for sexual partners, several years of software utilization, and being heterosexual was definitely with the number of unprotected complete sex partners
Yields away from linear regression model typing demographic, relationships apps incorporate and purposes regarding setting up https://kissbridesdate.com/indonesian-women/makassar/ parameters as the predictors having just how many exposed complete sexual intercourse’ couples one of active profiles
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 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 .
