Detailed statistics connected with sexual routines of one’s overall sample and the 3 subsamples off energetic pages, previous users, and non-pages
Getting single reduces the amount of unprotected full 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 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.
Yields away from linear regression design typing demographic, relationships software utilize and you will intentions regarding construction parameters just like the predictors for the amount of safe full sexual intercourse’ lovers certainly one of effective users
Output out-of linear regression design typing demographic, matchmaking apps need and objectives away from construction variables once the predictors having how many safe full sexual intercourse’ lovers certainly productive 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 .
Wanting sexual couples, years of app usage, being heterosexual had been surely with the number of unprotected complete sex lovers
Yields out-of linear regression design typing market, relationships applications use and you may intentions away from installment details as predictors to possess the amount of exposed full sexual intercourse’ couples among energetic users
Searching for sexual couples, numerous years of application utilization, being heterosexual were surely of this level of unprotected full sex partners
Returns away from linear regression design typing group, relationships programs usage and objectives out-of construction parameters as predictors getting the number of exposed full sexual intercourse’ partners certainly one of active users
Hypothesis 2c A third multiple regression analysis was run, including demographic variables and apps’ pattern of usage how to see private photos on findmate 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 .