Descriptive analytics related to sexual behavior of your own full try and you may the three subsamples regarding effective pages, former profiles, and you will low-users

Are solitary decreases the quantity 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_{(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.

Returns away from linear regression model entering group, relationships apps need and you may objectives out-of installation details because the predictors having what number of safe complete sexual intercourse’ couples certainly effective users

Output off linear regression model entering market, matchmaking programs usage and you will purposes from installations details since the predictors to own the number of protected complete sexual intercourse’ people one of energetic 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 .

Trying to find sexual people, many years of app use, being heterosexual had been undoubtedly of the level of exposed complete sex partners

Production away from linear regression model typing demographic, relationship applications use and purposes away from set up details as predictors to have the amount of unprotected complete sexual intercourse’ couples among productive pages

Interested in sexual people, numerous years of application use, and being heterosexual have been certainly associated with the level of unprotected full sex lovers

Efficiency of linear regression design entering group, relationship software utilize and you can intentions regarding setting up parameters as the predictors getting exactly how many exposed full sexual intercourse’ partners certainly productive 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 Se dette her 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 .