Detailed statistics related to sexual practices of one’s overall shot and you can the three subsamples off productive pages, former profiles, and you may non-pages

Becoming single 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_{(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 regarding linear regression model entering demographic, relationship apps incorporate and objectives off installation details since the predictors getting what number of protected complete sexual intercourse’ partners certainly one of productive users

Production from linear regression design entering market, dating programs need and you may motives out of setting up variables since predictors for how many safe complete sexual intercourse’ partners certainly effective 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 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 .

Seeking sexual partners, many years of application application, and being heterosexual was positively associated with the quantity of exposed full sex couples

Yields from linear regression design typing demographic, matchmaking apps use and intentions out-of installment parameters because predictors getting the amount of unprotected complete sexual intercourse’ lovers one of productive profiles

In search of sexual people, several years of software use, and being heterosexual was basically positively from the number of unprotected full sex partners

Yields out-of linear regression model entering group, relationship applications utilize and you can motives out of installations details due to the fact predictors to possess what number of unprotected full sexual intercourse’ people certainly one of energetic pages

Hypothesis 2c A third multiple regression Peru supruga 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 .