Descriptive statistics associated with sexual routines of your total shot and you will the three subsamples sexy girl greek of effective pages, former profiles, and low-pages

Becoming unmarried 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.

Productivity from linear regression design entering market, relationships applications incorporate and you may aim out-of construction details since the predictors for what number of safe complete sexual intercourse’ people certainly effective users

Efficiency regarding linear regression design typing demographic, dating programs utilize and you will intentions off setting up parameters just like the predictors for what amount of secure full sexual intercourse’ couples one of 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 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 .

Shopping for sexual lovers, numerous years of software utilization, and being heterosexual was certainly for the quantity of unprotected complete sex couples

Efficiency away from linear regression model typing group, dating software need and you will motives out of set up parameters while the predictors having what number of exposed complete sexual intercourse’ lovers certainly one of energetic pages

Seeking sexual lovers, years of application use, being heterosexual was indeed surely from the quantity of unprotected full sex lovers

Yields out-of linear regression model typing group, matchmaking applications utilize and you can motives off installation parameters since predictors having the amount of unprotected complete sexual intercourse’ partners among 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 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 .