We analyzed the latest relationships anywhere between sociodemographic details and application-use related parameters
Correlation analyses exhibited zero relationships anywhere between decades therefore the examined parameters. One-way ANOVAs shown significant differences in a few of the variables based to your matchmaking condition and you may monthly money. I found that members of a reliable cohabiting relationship (Meters = 4.96, SD = dos.32) got a high level of met standard than those in a low-cohabiting secure matchmaking (Meters = 4.61; SD = 1.80), accompanied by anybody maybe not inside a love (Yards = 4.twelve, SD = step one.80), F(dos, step three02) = 3.twenty six, p = .04. Out-of month-to-month money, individuals who claimed with a lowered money had high amount of unfulfilled standard (Meters = step one.76, SD = step one.68) compared to those with large earnings (salary anywhere between 395 and you can 1182 USD; M = step 1.twenty eight, SD = 1.50; Over 1183 USD, Yards = 1.ten, SD = 1.36), F(2, 302) = cuatro.twenty-eight, p = .015. Ultimately, some body when you look at the large earnings classification mutual less features inside their pages (Meters = six.95, SD = step three.45) compared to two almost every other money communities (wage lower than 394 USD; Yards = seven.70, SD = step three.44; wage between 395 and you can 1182 USD; Yards = 8.81, SD = step 3.90), F(dos, 302) = 5.29, p = .005.
I located statistically significant correlations between application-use related parameters (Desk cuatro); not, such correlations have been very weak. Analyses revealed that with a great deal more applications correlated definitely for the matter of your time allocated to him or her (r = 0.19, p Table cuatro Correlations anywhere between software use-relevant details