Descriptive analytics associated with sexual behaviors of your total test and you can the 3 subsamples regarding energetic users, former pages, and low-pages
Becoming unmarried decreases the quantity 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(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 luettelo puolalainen dating sites 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 off linear regression model entering group, matchmaking software use and you may intentions out-of setting up variables as the predictors to have what number of protected full sexual intercourse’ partners certainly one of active pages
Output of linear regression model typing demographic, dating programs incorporate and you may motives away from setting up parameters since predictors having the amount of secure full sexual intercourse’ people certainly one of 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 .
Searching for sexual partners, numerous years of app utilization, and being heterosexual was in fact undoubtedly of this number of exposed full sex people
Production regarding linear regression design entering market, matchmaking programs utilize and you will purposes out-of setting up variables because the predictors getting what number of unprotected complete sexual intercourse’ couples one of productive profiles
Shopping for sexual lovers, several years of application use, being heterosexual had been definitely of the number of unprotected complete sex people
Output of linear regression model entering group, relationships programs need and you may purposes off set up parameters just like the predictors getting what amount of exposed complete sexual intercourse’ people one of productive 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 .