Descriptive statistics related to sexual habits of the total attempt and you may the 3 subsamples from effective users, former profiles, and low-pages
Are single reduces the amount 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 of linear regression model entering demographic, matchmaking software usage and aim of installations details because the predictors having exactly how many secure complete sexual intercourse’ partners certainly effective users
Returns out of linear regression model typing market, relationships software usage and you may intentions regarding set up parameters as the predictors to have the amount of protected complete sexual intercourse’ partners among 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(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 .
Looking for sexual couples, several years of app use, and being heterosexual were absolutely with the quantity of unprotected complete sex couples
Production out of linear regression model typing Sri Lankan bruder market, relationship programs usage and aim regarding installations details due to the fact predictors to possess the amount of unprotected full sexual intercourse’ people certainly energetic pages
Searching for sexual lovers, numerous years of application utilization, and being heterosexual have been seriously from the amount of unprotected full sex people
Efficiency of linear regression model typing demographic, dating applications usage and you may purposes away from setting up variables as predictors to have the amount of unprotected full sexual intercourse’ lovers certainly productive 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 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 .
