Descriptive analytics associated with sexual behaviors of the total take to and you can the three subsamples regarding effective users, previous users, and low-profiles
Are solitary decreases the quantity of unprotected 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.
Yields regarding linear regression design typing demographic, dating applications incorporate and intentions off setting up parameters given that predictors to have what amount of protected full sexual intercourse’ people certainly one of productive profiles
Returns regarding linear regression design entering group, relationship programs need and you may purposes regarding setting up details as predictors for exactly how many safe full sexual intercourse’ partners one of productive 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(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 .
Searching for sexual lovers, numerous years of software application, and being heterosexual have been surely associated with the amount of exposed complete sex couples
Output off linear regression model entering demographic, dating programs incorporate and motives out-of set up variables as predictors to possess what amount of exposed complete sexual intercourse’ partners certainly one of effective profiles
Shopping for sexual partners, numerous years of application usage, and being heterosexual was undoubtedly regarding the level of exposed full sex partners
Productivity out-of linear regression design entering market, matchmaking apps utilize and you will motives away from set up variables once the predictors having the amount of unprotected full sexual intercourse’ partners one of active 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 sexy cambodian girls 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 .