Detailed analytics pertaining to sexual behavior of the overall test and you may the three subsamples away from energetic pages, former pages, and you can low-profiles

Becoming unmarried decreases the amount of exposed 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 Anmeldelser av plenty of fish 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.

Efficiency off linear regression model entering demographic, dating programs utilize and motives out of installation parameters just like the predictors getting just how many safe complete sexual intercourse’ partners certainly energetic users

Output regarding linear regression design entering market, relationship apps incorporate and intentions off construction variables given that predictors getting exactly how many secure full sexual intercourse’ people certainly effective 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_{(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 .

Finding sexual partners, many years of application application, being heterosexual was undoubtedly on the number of exposed full sex lovers

Production off linear regression design typing market, dating software use and you will intentions away from installation details as the predictors to own what number of exposed complete sexual intercourse’ partners among active pages

Searching for sexual people, several years of app application, being heterosexual was in fact positively of number of unprotected full sex partners

Yields of linear regression design typing market, dating programs utilize and you will intentions away from installation details given that predictors to have what amount of exposed full sexual intercourse’ lovers among productive 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 .