Descriptive analytics connected with sexual habits of your own overall sample and you may the three subsamples off active profiles, former users, and low-profiles
Getting solitary colombianske menn datingside reduces the number of exposed 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(dos, 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 of linear regression model entering group, matchmaking software incorporate and you can intentions off installation details since the predictors having what amount of protected complete sexual intercourse’ partners certainly productive pages
Yields out of linear regression design typing demographic, matchmaking apps use and aim off installment variables because the predictors getting just how many safe full sexual intercourse’ lovers among effective 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(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 .
Shopping for sexual people, numerous years of software utilization, being heterosexual was in fact absolutely of the quantity of exposed complete sex partners
Returns away from linear regression design typing market, matchmaking apps utilize and you may objectives off setting up details given that predictors getting how many unprotected complete sexual intercourse’ lovers certainly one of energetic profiles
Interested in sexual lovers, years of app utilization, and being heterosexual was basically absolutely associated with the quantity of exposed complete sex lovers
Output of linear regression design entering demographic, dating applications usage and you can intentions from installation parameters just like the predictors to own exactly how many exposed complete sexual intercourse’ couples certainly effective 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 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 .