Differences in Sexual Habits Among Matchmaking Applications Pages, Former Users and you may Non-profiles
Descriptive statistics connected with sexual habits of your overall decide to try and you will the three subsamples of productive pages, former pages, and you may non-users
Getting solitary decreases the quantity 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. All the other independent variables do not have a statistically significant impact.
Productivity away from linear regression design entering market, dating applications utilize and you will purposes out-of setting up parameters just like the predictors to possess what amount of secure full sexual intercourse’ partners certainly productive profiles
Productivity out of linear regression design entering group, matchmaking programs need and you can motives of construction parameters as predictors to possess how many safe complete sexual intercourse’ couples one of energetic users
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