Differences in Sexual Behaviors Certainly one of Relationship Software Profiles, Previous Users and you can Low-users

Descriptive statistics regarding sexual habits of your own overall test and you can the three subsamples out-of energetic pages, previous users, and you may non-pages

Becoming solitary reduces the number 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 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.

Productivity out-of linear regression design typing demographic, relationships programs incorporate and you can purposes out-of installations parameters just like the predictors getting what number of secure complete sexual intercourse’ lovers certainly one of effective users

Yields regarding linear regression model entering market, dating applications incorporate and you can objectives away from construction details due to the fact predictors getting the number of safe full sexual intercourse’ couples among 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 .

Wanting sexual partners, years of application usage, being heterosexual was in fact seriously for the quantity of exposed full sex lovers

Yields off linear regression design entering market, relationship software usage and you will intentions out-of installment variables as the predictors getting the number of unprotected full sexual intercourse’ people certainly active users

Looking for sexual lovers, numerous years of software application, and being heterosexual was in fact certainly of the level of unprotected full sex partners

Efficiency of linear regression design typing market, matchmaking applications utilize and you will intentions from installment details once the predictors having what amount of exposed complete sexual intercourse’ partners among 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 samohrane Indonezijska dame u usu 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 .