Variations in Sexual Behaviours Among Matchmaking Programs Users, Previous Pages and you will Non-users
Descriptive statistics about sexual behavior of the total try and the 3 subsamples from effective profiles, former users, and non-profiles
Being solitary decreases the amount 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(dos, 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 seksikäs Ukrainan tytöt. 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.
Returns away from linear regression design typing group, relationship programs use and you may purposes out of set up variables as the predictors to have how many secure full sexual intercourse' lovers among effective profiles
Efficiency off linear regression design typing group, relationships programs usage and you will aim away from installations details because the predictors to possess exactly how many safe complete sexual intercourse' lovers certainly energetic users
Hypothesis 2b A second multiple regression analysis was run to predict the number of unprotected full sex partners for active users.