Dining table cuatro shows the results of your several linear regression analyses where it can be seen that usage of matchmaking applications is comparable to the amount of lovers from inside the genital intercourse, dental sex, and you may anal sex
Dining table dos shows the brand new descriptive statistics (M and you can SD) for thinking with the on line sexual routines, level of sexual couples, and regularity off condom use in vaginal intercourse, dental sex, and you may anal sex from inside the users and you will non-profiles out of matchmaking software, making it possible for an evaluation of the imply scores. The outcomes show statistically extreme differences in all the parameters but condom regularity when you look at the vaginal intercourse and you may oral sex. Pages have significantly more confident attitudes towards online sexual behavior, experienced a great deal more sexual people when you look at the vaginal intercourse, oral sex, and you may anal sex, and get utilized condoms more frequently in the anal sex than just low-profiles.
Desk 2 Descriptive statistics for thinking with the on the internet sexual routines, number of sexual lovers, and frequency from condom include in pages and you may non-users out-of relationships software, and you can evaluation of indicate ratings
Dining table step three screens brand new logistic regression overall performance in which details associated with relationships software are also analyzed. The results mean that getting male, being an excellent LGB person, and having positive attitudes into on the web sexual practices are from the a higher probability of using matchmaking software. Although this organization are greater having gender and you may sexual orientation than just with age and people perceptions.
However, some interaction effects were also found. Figure 1 shows the interaction effects between gender and apps for the number of sexual partners in vaginal intercourse (F(1, 1790) = 9.943, p = .002, ? 2 p = 0.006), oral sex (F(step 1, 2004) = 4.068, p = .044, ? 2 p = 0.006), and anal sex (F(1, 943) = , p < .001,>p = 0.002).
Table 4 Numerous linear regression analyses to choose if or not playing with matchmaking programs (yes/no) is connected with what amount of sexual people
Dining table 5 Numerous linear regression analyses to decide if having fun with matchmaking software (yes/no) try pertaining to the new regularity of condom have fun with
Interaction consequences anywhere between gender and you can application explore toward amount of couples during the vaginal intercourse, oral sex, and anal sex, and ranging from sexual positioning and app
In vaginal intercourse, analysis of the simple effects shows that while in non-users, there are no differences between men and women (p = .364), such gender differences were found in users (p = .001). Female users have had more sexual partners in vaginal intercourse (M = 7.21, SD = 3.58) than male users (M = 6.70, SD = 3.72). The simple effects analysis also shows statistically significant differences in the number of partners in kissbrides.com Buna bayД±ldД±m. vaginal intercourse, both in women (p < .001)>
Table 5 shows the outcome of your own multiple linear regression analyses in which it may be noticed the accessibility matchmaking software is comparable to the latest regularity away from condom use in anal sex. Pages with greater regularity fool around with condoms than simply low-profiles whenever stepping into it choices.
Figure 2 shows the interaction effects found between gender and app use for the frequency of condom use during vaginal intercourse (F(step 1, 1790) = 4.225, p < .040,>p = 0.002). The simple effects analysis shows that while condom use does not differ between male and female non-users of dating apps (p = .719), gender differences were found among users (p < .001).>
Desk 6 suggests the outcomes of your numerous linear regression analyses, which analyzed the fresh new variables about frequency, just how many moments relationship programs were used, as well as the level of sexual routines performed with profiles. Gender is about what number of times relationship applications were put together with level of sexual behaviors performed which have pages. On the other hand, sexual positioning and you can many years have been pertaining to every three details. LGB some one fool around with relationships applications more often while having engaged in much more other sexual habits with others he has came across compliment of these types of software than simply heterosexuals. Perceptions into on line sexual behavior had been connected with how many sexual practices as they say. Users with more confident perceptions toward sexual routines claimed getting into a great deal more other sexual behavior with people they satisfied by way of these applications.