Descriptive statistics regarding sexual habits of full attempt and you can the 3 subsamples off effective profiles, former profiles, and low-profiles
Getting single reduces the amount of exposed full sexual intercourses
In regard to the number of kissrussianbeauty dating 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 of linear regression model entering group, relationships programs utilize and motives of construction variables given that predictors to possess what amount of safe complete sexual intercourse’ people among energetic pages
Productivity off linear regression model entering demographic, matchmaking apps utilize and you may purposes off installment variables since predictors to possess the amount of secure complete 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(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 couples, numerous years of app use, being heterosexual was basically surely associated with quantity of exposed full sex lovers
Output from linear regression design entering market, dating software utilize and you will aim away from construction variables while the predictors for exactly how many exposed full sexual intercourse’ lovers one of effective users
Interested in sexual lovers, numerous years of software application, and being heterosexual was certainly of number of unprotected complete sex couples
Productivity from linear regression model entering demographic, dating apps incorporate and you may intentions from construction variables while the predictors to own what amount of exposed full sexual intercourse’ couples among 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(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 .
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