Descriptive statistics linked to sexual habits of the overall try and the three subsamples out of active pages, previous users, and low-users
Getting unmarried decreases the quantity of unprotected 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.
Yields regarding linear regression design entering group, relationships applications need and you may aim out of set up parameters because the predictors getting the amount of protected full sexual intercourse’ couples among energetic users
Efficiency out of linear regression model typing demographic, relationship programs incorporate and you can aim out of construction variables as predictors getting the number of secure complete sexual intercourse’ lovers certainly one of active 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 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 .
Trying to find sexual lovers, many years of application application, and being heterosexual was basically seriously for the level of unprotected complete sex partners
Yields off linear regression model typing demographic, dating apps incorporate and you will aim regarding installment details while the predictors to have the number of unprotected full sexual https://kissbridesdate.com/no/hot-afrikanske-kvinner/ intercourse’ partners among productive pages
Seeking sexual lovers, numerous years of software utilization, being heterosexual was seriously regarding the amount of unprotected full sex partners
Production of linear regression design typing group, relationships programs need and you will objectives away from installation parameters since predictors having how many unprotected complete sexual intercourse’ couples certainly active profiles
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 .