Detailed statistics regarding sexual habits of your own full decide to try and you will the 3 subsamples from effective pages, former pages, and you will low-profiles
Are unmarried decreases 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(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.
Returns out of linear regression model entering demographic, relationship software usage and you can intentions away from installation parameters given that predictors having just how many protected full sexual intercourse’ couples certainly one of energetic pages
Returns out-of linear regression design entering market, matchmaking software need and you may motives away from set up parameters since predictors for the number of secure full sexual intercourse’ couples 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(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 .
In search of sexual lovers, many years of app application, and being heterosexual was indeed seriously of this level of unprotected full sex partners
Productivity off linear regression design typing market, dating applications need and you may purposes of installment variables since predictors for what amount of unprotected complete sexual intercourse’ couples certainly energetic profiles
Looking for sexual people, several Katolske kvinner singel years of software usage, being heterosexual have been definitely in the amount of unprotected complete sex couples
Output of linear regression model entering market, relationships programs incorporate and you may purposes out-of set up details as predictors to have how many exposed full sexual intercourse’ partners 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 .
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