Descriptive statistics about sexual routines of the total try and you will the 3 subsamples away from energetic users, previous users, and you can non-profiles
Being unmarried reduces the quantity of unprotected full sexual intercourses
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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.
Productivity regarding linear regression model typing group, dating programs utilize and http://www.kissbridesdate.com/hr/positive-singles-recenzija/ you may objectives of installations details due to the fact predictors to possess how many secure complete sexual intercourse’ partners certainly effective pages
Yields out of linear regression design entering market, dating programs need and you can objectives of installations parameters given that predictors getting the amount of protected complete sexual intercourse’ lovers 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 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 .
In search of sexual lovers, numerous years of application use, and being heterosexual had been seriously of this level of unprotected full sex couples
Returns out-of linear regression model typing group, matchmaking programs incorporate and you can aim of setting up parameters due to the fact predictors for exactly how many unprotected full sexual intercourse’ couples certainly active profiles
Searching for sexual couples, many years of app usage, being heterosexual was indeed undoubtedly associated with the quantity of exposed complete sex lovers
Yields out of linear regression model typing group, dating apps use and you will intentions out of installment details just like the predictors getting exactly how many unprotected full sexual intercourse’ couples one of 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 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 .
