Detailed statistics about sexual practices of one’s total sample and you may the three subsamples regarding productive pages, former profiles, and non-profiles
Becoming unmarried reduces the number of exposed complete sexual intercourses
In regard kissbridesdate.com proДЌitajte ovdje 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.
Returns out-of linear regression model typing market, relationship apps utilize and intentions off setting up parameters since the predictors getting the amount of protected full sexual intercourse’ partners among effective pages
Output of linear regression model typing group, relationship programs usage and you can aim out-of installment parameters since the predictors to have what number of secure full sexual intercourse’ lovers one of active 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 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 .
Searching for sexual people, several years of application application, being heterosexual was certainly for the quantity of exposed full sex lovers
Yields away from linear regression model entering group, relationships software usage and you may intentions from setting up variables as the predictors for what number of exposed complete sexual intercourse’ people among effective profiles
In search of sexual couples, several years of application utilization, being heterosexual had been positively of this amount of exposed full sex partners
Yields off linear regression design typing market, matchmaking apps utilize and you may objectives out-of setting up details because the predictors getting the number of unprotected full sexual intercourse’ people certainly 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(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 .