Differences in Sexual Behaviours Among Relationships Apps Pages, Former Users and you will Low-users
Descriptive statistics associated with sexual practices of one’s complete attempt and you may the three subsamples out of energetic pages, former pages, and you will low-profiles
Getting solitary reduces 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.
Yields away from linear regression design typing market, relationships applications utilize and you may purposes away from setting up details once the predictors to own just how many secure full sexual intercourse‘ people certainly active users
Efficiency regarding linear regression design typing demographic, matchmaking programs utilize and aim out-of installations parameters just like the predictors getting what amount of secure complete sexual intercourse‘ lovers among 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(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 .
Wanting sexual lovers, years of app utilization, being heterosexual was in fact seriously with the amount of unprotected full sex couples
Yields from linear regression model typing group, matchmaking apps use and you may intentions regarding setting up details since predictors getting what number of unprotected full sexual intercourse‘ couples certainly active pages
Seeking sexual couples, several years of application usage, and being heterosexual were certainly regarding the quantity of exposed complete sex people
Returns from linear regression model entering demographic, dating applications usage and you may motives away from installment parameters given that predictors to own just how many exposed full sexual intercourse‘ partners one of effective pages
Hypothesis 2c A third multiple regression analysis was run, including demographic variables and apps‘ pattern of usage variables together with apps‘ Serbisk sexy kvinner 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 one, 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 .