Descriptive statistics associated with sexual practices of your own complete attempt and you may the three subsamples out-of effective profiles, previous users, and you can non-pages
Being single 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(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 away from linear regression design typing demographic, relationship applications use and intentions off installation details while the predictors for just how many secure full sexual intercourse' people among active users
Output out of linear regression model typing market, relationships apps incorporate and you may motives regarding installation parameters while the predictors for how many protected complete sexual intercourse' partners certainly energetic users
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 .
Looking for sexual partners, numerous years of software usage, being heterosexual was kissbridesdate.com Finn ut her positively associated with the amount of exposed full sex partners
Returns out of linear regression design entering group, dating programs usage and you can purposes from installation variables because the predictors getting the number of unprotected full sexual intercourse' people certainly energetic profiles
Shopping for sexual people, several years of application application, and being heterosexual was in fact surely in the number of unprotected complete sex couples
Efficiency regarding linear regression design entering market, dating applications need and you may aim off installment details because predictors to possess the number of exposed complete sexual intercourse' partners one of 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(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 .