Variations in Sexual Behaviors One of Dating Programs Pages, Former Pages and you can Low-pages | Grupo EKonomiKa

Detailed analytics regarding sexual routines of full shot and you can the three subsamples out-of productive users, previous profiles, and you may low-profiles

Are single decreases 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_{(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 out-of linear regression model entering market, relationships software usage and aim of installment details because the predictors to possess what amount of secure full sexual intercourse’ partners certainly one of active profiles

Efficiency out-of linear regression design entering demographic, matchmaking apps usage and you may intentions out of set up parameters once the predictors to own exactly how many protected complete sexual intercourse’ couples certainly one of 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_{(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 .

Seeking sexual couples, years of application use, and being heterosexual was indeed absolutely in the quantity of exposed complete sex couples

Returns of linear regression model entering demographic, relationships programs utilize and you can aim out-of set up parameters since the predictors to own the amount of unprotected complete sexual intercourse’ lovers among active profiles

Shopping for sexual couples, numerous years Najbolja mjesta za upoznavanje Еѕena na mreЕѕi of software application, being heterosexual was definitely from the level of unprotected full sex couples

Productivity away from linear regression model typing group, matchmaking apps utilize and you can intentions out-of installation details since predictors to have exactly how many unprotected full sexual intercourse’ couples one of 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 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 .