Variations in Sexual Behaviors Certainly Relationship Software Profiles, Former Users and Non-pages

Descriptive statistics regarding sexual habits of complete decide to try and you can the 3 subsamples from energetic profiles, former users, and you can low-users

Becoming single 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. 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 of linear regression model typing market, matchmaking software incorporate and you will aim regarding construction variables due to the fact predictors to possess what amount of protected full sexual intercourse’ people certainly energetic profiles

Yields out-of linear regression design typing market, dating programs utilize and you may objectives regarding construction parameters since the predictors to own what amount of protected full sexual intercourse’ partners among effective 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_{(step one, 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 .

Searching for sexual partners, years of software use, and being heterosexual was in fact positively associated with the amount of exposed complete sex partners

Efficiency out-of linear regression model entering group, matchmaking programs usage and you can motives of installation parameters given that predictors getting just how many unprotected complete sexual intercourse’ partners among energetic users

Looking sexual partners, many years of application utilization, being heterosexual was indeed surely on the level of unprotected full sex partners

Production off linear regression design entering demographic, relationship applications use and objectives regarding installation details just like the predictors to have exactly how many unprotected full sexual intercourse’ Gvatemalan lijepe Еѕene couples certainly effective pages

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 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 .