Differences in Sexual Behaviors Among Relationships Apps Users, Previous Users and you can Non-users

Descriptive statistics pertaining to sexual behavior of the complete sample and the three subsamples regarding effective profiles, previous pages, and you may low-users

Becoming single reduces the quantity of unprotected 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 regarding linear regression design entering market, matchmaking programs incorporate and intentions out of installation details just like the predictors to have exactly how many protected complete sexual intercourse’ partners among productive profiles

Returns regarding linear regression design entering group, dating software use and you will objectives off set up details given that predictors to have what amount of protected full sexual intercourse’ couples certainly 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_{(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, several years of app use, and being heterosexual was seriously on the quantity of exposed complete sex people

Efficiency out-of linear regression design typing market, matchmaking programs usage and you will aim out-of installment details since predictors for how many exposed full sexual intercourse’ people certainly one of active pages

In search of sexual couples, several years of software application, and being heterosexual was in fact positively from the level of exposed full sex lovers

Output away from linear regression design entering demographic, matchmaking applications use and purposes out of set up variables while the predictors getting the number of exposed complete sexual intercourse’ lovers certainly active users

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 Dominikanci mladenke narudЕѕbe putem poЕЎte negatively associated with the frequency of hook-ups. Results are reported in Table 7 .