Detailed statistics regarding sexual behaviors of the total sample and the three subsamples regarding productive users, previous pages, and non-profiles
Being unmarried decreases the level 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(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.
Productivity away from linear regression design entering market, relationship applications utilize and you may objectives regarding installations parameters since the predictors to have the amount of safe complete sexual intercourse’ lovers one of energetic users
Productivity out of linear regression model entering demographic, dating applications usage and you may intentions regarding setting up variables because the predictors to have the amount of protected complete sexual intercourse’ partners one of effective profiles
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 .
Finding sexual couples, several years of app application, and being heterosexual was basically definitely from the level of exposed full sex people
Production of linear regression model typing demographic, dating apps incorporate and you can motives out-of construction variables because predictors to possess what amount of exposed full sexual intercourse’ lovers one of effective users
Shopping for sexual couples, years of app use, and being heterosexual had been definitely associated with the quantity of exposed full sex people
Returns of linear regression model entering group, matchmaking applications need and you may intentions from setting up variables because predictors for exactly how many unprotected complete sexual intercourse’ partners certainly energetic pages
Hypothesis 2c A third multiple regression analysis was run hot bulgarian women, 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 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 .