Detailed analytics about sexual practices of the complete sample and the three subsamples of active pages, previous users, and you can non-users
Are solitary decreases 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.
Production from linear regression model typing demographic, matchmaking applications usage and you can purposes regarding installations variables once the predictors to possess just how many safe complete sexual intercourse’ lovers certainly one of productive users
Yields out of linear regression model entering market, relationships programs utilize and you can aim from construction parameters since the predictors to possess how many safe full sexual intercourse’ couples certainly effective pages
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 https://kissbridesdate.com/fi/kuumat-pohjoismaiset-naiset/ variance in the number of unprotected full sex partners among active users (R 2 = 0.16, Adjusted R 2 = 0.14, F-change(step one, 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 .
In search of sexual couples, many years of application utilization, and being heterosexual were seriously regarding the level of unprotected full sex partners
Productivity off linear regression model entering group, relationships software utilize and you may aim off installation parameters just like the predictors having the number of unprotected complete sexual intercourse’ lovers certainly energetic pages
Seeking sexual people, years of application use, being heterosexual was absolutely associated with level of exposed full sex people
Productivity out of linear regression model typing demographic, dating apps need and you may objectives away from construction parameters since predictors having what number of exposed full sexual intercourse’ lovers certainly energetic 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 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 .