Original analytical analyses was achieved playing with detailed statistics for example the reliability of one’s measures, imply score and you may rates.
To choose hence subscale can be included in the regression study, a correlation ranging from every dimensions regarding sexting and its own subscales try conducted. One significantly related sext span subscale are included in the regression to choose when it forecasts brand new subscales of your own sexting desire questionnaire (Intimate intentions, Human body Photo Reinforcement, Instrumental/Frustrated Grounds) and sexting conclusion.
Subsequently, i presented linear regression within Social media Addiction and you will sexting issue to check on our hypothesis, consistent with the literary works [eleven,forty five,46,47], you to definitely a higher level off habits forecast a top deeper interest in order to sext.
Finally, to accomplish new design and you may make certain whether your behavioural/emotional difficulties and also the protective approach got a task into the sexting, i held separate linear regressions amongst the internalizing/externalizing subscales off Teens/Adult Mind Statement, Factor step 1 and you can Factor 2 regarding REM-71 and you may SBQ, SMQ, Sq .. The analyses was basically used having fun with SPSS software (Adaptation 21.0, IBM, Armonk, Nyc, USA).
step 3.1. Sexting Motivations, Choices and Expectancy
As regards the descriptive analyses concerning sexting motivations and sexting behavior, males have a higher score in almost all sexting dimensions except sexual purposes in which females have a slightly higher score (Table 1). However, conducting several ANOVAs we found that the only significantly different dimension is that of sexting behaviors where males have a higher score (SBQ score: female M = 33.8; male M = 36.5, p < 0.05,>
In addition, ANOVAs were conducted between males and females on sexting expectations. The results show a significance for two subscales of the Sexpectancies Questionnaire: negative expectations about sending sexts ( p < 0.001,>
The correlation analyses between the SMQ, SBQ and SQ have shown the results summarized in Table 2. Briefly, positive expectations of sending are strongly related to all dimensions of sexting, motivational and behavioral (respectively: p < 0.001>
Consistent with the study of Currin , we conducted regressions between SMQ, SBQ as regressors and SQ as a predictor. The detailed results in Table 3 show that sexting behavior is predicted only by positive expectations of sending ( p < 0.001,>
The check for multicollinearity in every regression in the present paper was conducted by examining the Variance Inflation Factor (VIF). Conventionally, as suggested by Cohen and O’Brien , VIF values greater than 4–10 generally indicate severe multicollinearity. Our results are VIF < 3,>
step 3.dos. Social network Habits and you can Sexting
Off investigation on the social networking addiction (female: M = fourteen.0 and you will DS = 5.59; male: Yards = a dozen.8 and DS = 5.10), this new ANOVA between males and females failed to let you know one statistically factor among them organizations.
Bottom line, possible point out that a higher level regarding public media habits may cause more inspiration so you’re able to sext and you may engage more frequently inside the sexting behavior.
step 3.3. Internalizing/Externalizing Troubles, Defensive Method and you may Sexting
As regards the descriptive analyses on Youth/Adult Self Report and REM-71, the only statistically significant differences between males and females are given below. It emerges that females have higher levels in internalizing scales on youth/adult self-report ( p < 0.001,>
Secondly, we wanted to test our hypothesis that immature defensive strategies correlated with a more problematic type of sexting, such as instrumental/aggravated or body image reinforcement. To do this, we considered the two factors of REM-71 in correlation to each dimension of sexting motivations and behaviors. Correlation analysis found no significant relationship between sexting and factors 1 and 2 of REM-71. For this reason, from an exploratory perspective, we decided to investigate the individual subscales of REM-71, maintaining a more conservative p -value ( p < 0.01).>
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