Detailed analytics associated with sexual practices of total sample and you may the 3 subsamples out of productive pages, previous profiles, and you will non-users

Being solitary reduces the amount of exposed 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.

Production away from linear regression model typing market, relationship apps need and you will motives of construction parameters because the predictors getting just how many safe complete sexual intercourse’ lovers among energetic users

Efficiency regarding linear regression design entering market, relationship software utilize and you may intentions off installations variables as predictors to have the number of secure complete sexual intercourse’ people certainly energetic profiles

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 .

Seeking sexual people, many years of app utilization, and being heterosexual were definitely of the amount of unprotected full sex couples

Production off linear regression design entering group, matchmaking software usage and you will motives regarding installment variables as predictors getting exactly how many exposed complete sexual intercourse’ people certainly active profiles

Finding sexual couples, many years of software use, and being heterosexual had been absolutely regarding the level of exposed complete sex lovers

Efficiency regarding linear regression model typing market, relationship applications use and you will motives out-of setting up variables since the predictors to have what number of exposed full sexual intercourse’ couples one of energetic 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 badoo-sovellus significant proportion of the variance in hook-up frequency among active users (R 2 = 0.24, Adjusted R 2 = 0.23, F-change_{(step one, 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 .