Descriptive analytics linked to sexual behavior of your overall try and you will the 3 subsamples out of energetic users, previous pages, and you can low-users
Being single decreases the level 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 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 slatka Europska djevojka. All the other independent variables do not have a statistically significant impact.
Efficiency out of linear regression design typing market, matchmaking apps incorporate and you may objectives off installment variables as predictors getting the amount of safe complete sexual intercourse’ lovers certainly effective profiles
Returns out of linear regression design entering demographic, relationships applications use and you will objectives off setting up variables as the predictors to own what amount of safe complete sexual intercourse’ people among effective pages