Descriptive statistics regarding sexual behaviors of the complete shot and you will the three subsamples out of effective pages, previous profiles, and you may low-users
Are single 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(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 https://kissbridesdate.com/greek-women/argos/ 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 market, matchmaking applications usage and you will intentions regarding installations variables since the predictors having just how many secure full sexual intercourse’ partners certainly energetic pages
Returns of linear regression model entering demographic, relationship software utilize and you may objectives off construction details as the predictors to have the amount of secure full sexual intercourse’ lovers among energetic users
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 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 .
Wanting sexual partners, years of app use, being heterosexual was in fact certainly in the amount of unprotected full sex partners
Productivity off linear regression design typing demographic, matchmaking programs use and you can motives off installations variables as predictors getting exactly how many unprotected complete sexual intercourse’ partners certainly one of energetic profiles
Searching for sexual couples, years of application usage, being heterosexual have been absolutely with the number of exposed complete sex partners
Output regarding linear regression design typing market, dating apps need and motives away from construction parameters just like the predictors for what amount of unprotected complete sexual intercourse’ couples one of effective users
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 .