Descriptive statistics connected with sexual habits of the overall test and you can the three subsamples from energetic profiles, previous pages, and you will non-pages
Getting solitary reduces the quantity 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 = vietnamcupid dating site arvostelu , 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 out-of linear regression design typing demographic, dating programs incorporate and you may objectives of installation parameters since the predictors to possess the number of safe complete sexual intercourse’ lovers one of active pages
Returns off linear regression model entering group, matchmaking programs use and you can objectives out-of installment details since predictors getting the number of secure full sexual intercourse’ lovers certainly productive 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 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 .
Trying to find sexual couples, numerous years of app application, and being heterosexual was indeed certainly in the amount of unprotected full sex people
Returns out of linear regression model entering group, relationships applications need and you can objectives of construction parameters as predictors having what number of unprotected full sexual intercourse’ couples certainly active pages
Wanting sexual couples, numerous years of software usage, and being heterosexual have been seriously of this level of unprotected complete sex couples
Productivity regarding linear regression design entering demographic, relationships applications usage and you will intentions from set up details because the predictors having the amount of exposed full sexual intercourse’ couples among active profiles
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 .