Detailed analytics related to sexual behaviors of one’s complete decide to try and you will the 3 subsamples of energetic pages, previous users, and you will low-profiles

Becoming single reduces the amount of exposed 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 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.

Yields out of linear regression model entering demographic, relationship software utilize and purposes away from installment variables since predictors for exactly how many secure complete sexual intercourse’ couples among effective profiles

Output away from linear regression model entering group, relationships apps utilize and you may aim regarding construction details since the predictors to own how many secure complete sexual intercourse’ people certainly active 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 kissbridesdate.com try the website 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 .

Looking sexual couples, numerous years of app use, being heterosexual was absolutely on the level of exposed complete sex people

Efficiency of linear regression model typing market, dating applications use and you will objectives regarding construction variables as the predictors to own what number of exposed complete sexual intercourse’ couples certainly active users

Interested in sexual partners, numerous years of software usage, and being heterosexual have been seriously regarding the amount of exposed complete sex people

Production away from linear regression design typing group, relationship applications incorporate and you may objectives out of construction details as predictors for exactly how many unprotected complete sexual intercourse’ people certainly effective 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 .