Detailed analytics pertaining to sexual practices of your own total test and you may the three subsamples off productive profiles, former profiles, and non-users
Becoming unmarried decreases the number 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. 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 regarding linear regression model entering demographic, dating applications use and you may motives from installation variables given that predictors getting how many safe full sexual intercourse’ lovers among active users
Output out of linear regression model entering demographic, matchmaking programs incorporate and you may intentions off setting up parameters just like the predictors getting just how many protected full sexual intercourse’ couples among energetic pages
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 1, 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 .
Wanting sexual partners, several years of application usage, being heterosexual were seriously on the amount of exposed full sex couples
Production off linear regression model typing market, dating software use and you will intentions regarding installation parameters since the predictors to have the amount of unprotected complete sexual intercourse’ couples certainly one of active profiles
Looking sexual couples, https://kissbridesdate.com/no/jdate-anmeldelse/ numerous years of app application, and being heterosexual had been seriously associated with number of unprotected complete sex couples
Yields out-of linear regression design typing demographic, matchmaking software utilize and you will intentions of set up variables because the predictors to possess what number of unprotected full sexual intercourse’ people one of energetic users
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 .