Detailed analytics about sexual routines of your overall shot and the 3 subsamples off productive pages, previous users, and you may non-users

Getting single decreases the level of unprotected full sexual intercourses

In regard to the number of partners with whom participants had protected full sex during the last year, the ANOVA revealed a Fransk dating -app 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.

Output off linear regression design entering demographic, dating apps use and you will intentions out of set up variables as the predictors having just how many protected complete sexual intercourse’ lovers among energetic pages

Yields out of linear regression model entering group, matchmaking programs utilize and you can motives away from setting up details since predictors having how many safe full sexual intercourse’ partners among energetic 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_{(step 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 partners, many years of software usage, and being heterosexual have been positively associated with the amount of unprotected complete sex partners

Productivity from linear regression model typing market, matchmaking software incorporate and you can intentions from installment details because predictors getting how many unprotected complete sexual intercourse’ lovers certainly one of effective profiles

Trying to find sexual partners, years of app use, being heterosexual was basically definitely associated with level of exposed full sex people

Production out-of linear regression model typing market, relationships programs use and you will intentions off setting up details due to the fact predictors having exactly how many unprotected complete sexual intercourse’ lovers among 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 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_{(step 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 .