Descriptive statistics regarding sexual behavior of your complete attempt and you will the three subsamples off active pages, previous users, and you can non-pages
Being single 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 = , 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 market, relationship applications utilize and you will objectives regarding construction parameters once the predictors getting exactly how many secure full sexual intercourse’ partners among effective profiles
Returns out of linear regression design typing group, matchmaking apps utilize and motives off installation variables while the predictors to have what amount of protected full sexual intercourse’ partners among energetic 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 beautiful singaporean women are reported in Table 6 .
Searching for sexual couples, years of app utilization, and being heterosexual have been surely associated with level of unprotected full sex people
Output away from linear regression design typing market, matchmaking software use and you will intentions from installations details because predictors having the number of unprotected full sexual intercourse’ people certainly energetic pages
Looking sexual people, numerous years of app utilization, and being heterosexual had been certainly from the number of unprotected full sex partners
Output of linear regression design typing demographic, dating applications need and objectives of installation details given that predictors for what number of unprotected full sexual intercourse’ couples certainly one of productive 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(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 .
