Differences in Sexual Behaviours One of Dating Programs Pages, Former Pages and Non-pages

Detailed statistics linked to sexual behavior of full test and you will the three subsamples from productive profiles, former profiles, and low-pages

Being unmarried reduces the level of unprotected 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.

Efficiency away from linear regression design typing market, relationship applications incorporate and purposes from installation variables as the predictors having exactly how many protected complete sexual intercourse’ people among productive pages

Returns out of linear regression design entering market, relationships apps incorporate and you will objectives of setting up variables as predictors getting how many safe complete sexual intercourse’ people certainly active profiles

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 .

Shopping for sexual partners, numerous years of app usage, being heterosexual was indeed undoubtedly from the level of unprotected Jordanski Еѕene full sex lovers

Output off linear regression model entering market, dating programs utilize and you may purposes of installation parameters because predictors to own the number of exposed complete sexual intercourse’ people among active profiles

Trying to find sexual lovers, many years of application application, being heterosexual have been positively for the amount of unprotected full sex lovers

Output off linear regression model typing group, relationships applications usage and you will intentions from setting up variables while the predictors to have how many exposed complete sexual intercourse’ lovers certainly 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_{(step one, 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 .