Detailed statistics related to sexual habits of one’s complete take to and you can the 3 subsamples of productive profiles, former profiles, and you will low-pages
Being solitary decreases the number of unprotected 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.
Output out of linear regression design entering demographic, relationship programs need and you can purposes regarding installment details while the predictors for how many protected full sexual intercourse’ partners one of effective pages
Output from linear regression model entering group, relationships programs use and motives regarding installation variables because predictors to have exactly how many safe full sexual intercourse’ people among active 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 https://kissbridesdate.com/fi/mingle2-arvostelu/ 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 people, numerous years of app application, and being heterosexual was seriously with the amount of exposed complete sex lovers
Production away from linear regression design entering demographic, matchmaking apps use and you will objectives off installations details because predictors to possess exactly how many unprotected full sexual intercourse’ people certainly effective profiles
Shopping for sexual couples, numerous years of software application, and being heterosexual was basically definitely of the quantity of exposed complete sex partners
Production off linear regression design typing demographic, relationship apps incorporate and you can purposes from construction details once the predictors to have what number of exposed complete sexual intercourse’ lovers among energetic users
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 from hetero and homosexual orientation) were negatively associated with the frequency of hook-ups. Results are reported in Table 7 .