Descriptive statistics regarding sexual behavior of the complete take to and you can the three subsamples regarding energetic profiles, previous profiles, and you can low-users

Getting solitary decreases the level 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.

Production of linear regression model entering demographic, dating programs use and you can intentions from set up parameters given that predictors getting just how many protected full sexual intercourse’ people certainly effective users

Returns out of linear regression design typing group, relationship programs usage and intentions out of setting up parameters once the predictors to own how many secure full sexual intercourse’ couples certainly one of active pages

Hypothesis 2b A second multiple regression analysis was run to predict the number of unprotected full sex partners for active users.