Detailed analytics pertaining to sexual habits of one’s overall test and you will the three subsamples of productive pages, previous users, and you can low-profiles
Getting solitary reduces the level 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(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.
Production out-of linear regression design entering market, relationships applications usage and you will purposes of setting up variables given that predictors to have the amount of safe complete sexual intercourse’ people certainly one of active users
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Productivity away from linear regression design entering demographic, dating programs incorporate and you will motives from set up variables because predictors to own just how many safe complete sexual intercourse’ couples certainly one of 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 are reported in Table 6 .
In search of sexual partners, many years of application use, and being heterosexual have been surely regarding the level of unprotected complete sex partners
Efficiency out-of linear regression design typing market, relationships programs need and you will intentions from setting up details since the predictors to have the number of unprotected complete sexual intercourse’ couples certainly one of energetic profiles
In search of sexual lovers, numerous years of app use, being heterosexual had been absolutely for the number of exposed full sex partners
Yields out of linear regression design entering market, relationship apps use and you will intentions out-of set up parameters because predictors for the number of exposed complete sexual intercourse’ lovers certainly active 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(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 .