Desk 5
The latest zero-order relationship results (find Desk step 3 ) showed that like, socialisation, easier telecommunications, and you may trendiness surely about off-line relationship. A beneficial logistic regression analysis was did to examine the partnership anywhere between Bumble motivations and you will offline relationship skills. Logistic regression analysis can be used to examine the relationship anywhere between a digital created adjustable (in this case, offline matchmaking feel) and one or higher separate parameters (Bumble reasons) if you find yourself handling for the influence from other factors. It’s such as useful if the built adjustable is actually categorical otherwise dichotomous, as well as the researcher desires to assume the possibilities of a conference taking place. Contained in this context, logistic regression analysis is conducted to analyze the connection anywhere between Bumble motivations and you will traditional relationship skills. By using logistic regression, it’s tested the various other motives for using Bumble (love, socialisation, ease of interaction, and you may trendiness) relate with the likelihood of having offline relationships event. Ages and physiological sex were utilized since the handle variables. As a result, exhibited during the Desk 6 .
Dining table six
The newest logistic regression impact showed that ages negatively forecasts traditional matchmaking. Thus younger an individual, the greater he could be much more likely for the off-line Bumble matchmaking. One of several Bumble motives, love, socialisation, and you may trendiness are seen because the high predictors from traditional dating. Continue reading