Descriptive analytics linked to sexual routines of your own full decide to try and you will the 3 subsamples away from effective users, former profiles, and you may low-pages
Being single decreases the amount of exposed 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 najtoplije Argentinska Еѕene 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.
Efficiency from linear regression design typing demographic, relationship applications use and you may motives regarding installations details just like the predictors for the amount of safe complete sexual intercourse’ partners certainly active users
Efficiency regarding linear regression design entering demographic, relationship apps utilize and motives out of setting up details because predictors to own the number of secure full sexual intercourse’ people among 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 .
Looking for sexual people, several years of software application, being heterosexual have been undoubtedly of this quantity of exposed full sex couples
Returns off linear regression model typing demographic, dating programs usage and you may aim regarding construction details as predictors to possess exactly how many unprotected full sexual intercourse’ lovers among energetic users
Shopping for sexual partners, many years of app application, and being heterosexual were positively regarding the level of unprotected full sex partners
Production away from linear regression design entering group, dating apps usage and you may intentions out-of construction details as the predictors to possess the number of exposed full sexual intercourse’ lovers among energetic 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 .