In addition, no goods introduced proof of variance heterogeneity within sexes

Users

All in all, 923 pupils responded to this new COBADI dos.0 survey (Dining table step 1). This new attempt comprised generally of women (81.2%), younger (median decades = (5.2), min. = 17, maximum. = 50), as well as in its first year on university (fifty.2%). Bayesian inference allows us to get acquainted with inequitable products in terms of gender since it allows incorporating this new investigation to own programming afterwards. The brand new survey are produced electronically to help you students discovering Personal Knowledge and Societal Works (Universidad Pablo de- Olavide) and Pedagogy (UNED) inside instructional age and you will . There had been zero restrictions on contribution, and no monetary otherwise educational added bonus is actually offered to participate within studies.

Efficiency

With the George and Mallery (2003) classification, we found that the questionnaire had a high degree of overall reliability (? Cronbach = .83 (.81–.85), Guttman’s ?6 = .86). We also found a high degree of reliability in the subscale “Competences in the use of ICT for the search and treatment of information” (? Cronbach = .85 (.85–.89), Guttman’s ?6 = .87), moderate reliability in the subscale “Interpersonal competences in the use of ICT at university” (not considering items based on a preference scale, ? Cronbach = .65 (.58–.7), ?6 Guttman’s ?6 = .59), and moderate reliability in the scale “Virtual and social communication tools at university” (? Cronbach = .62 (.56–.68), Guttman’s ?6 = .51). The general descriptive results show (Table 3) that the vast majority of students have access to an Internet connection (98.2%). The time spent on the Internet is distributed among the following activities: university work (68.3%), use of social networks (63.9%) and listening to music (53.3%). It is significant that 77.8% stated that they never use Internet for gaming online, and 50.1% never use it to make new friends.

Regarding the outcomes for “Competences on entry to ICT on browse and you will treatment of data”, we observe that each other male and female people be he has got an excellent amount of skills in the accessibility “search engines”, “internet explorer”, “electronic cartography” and you may “podcasting”. The equipment they normally use that have quicker promise is actually “QR requirements” plus the creation of “on the internet demonstrations”. Gender change is actually noticeable about use of “digital cartography”, which have a good hanki kolumbia-postimyynti morsiamen Bayes grounds off , which demonstrates that the knowledge try moments more likely to appear regarding the hypothesis you to definitely says there is a significant difference ranging from men and you will feminine people than in the latest theory from equivalent skills ranging from brand new sexes. This proves which is very good otherwise definitive research when you look at the go for regarding a change between women and men, with a measurements of effect of .34 (.17, .51). Ergo, discover evidence the male pupils possess greater thought ability from inside the electronic cartography than the women youngsters. So it impact are sustained on introduction of an earlier shipment which have a keen roentgen parameter of 1.5 (Bayes grounds = , quite strong or definitive proof). With respect to ability into the “on the internet demonstrations”, the outcomes show a beneficial Bayes basis away from eight.30, hence suggests that the content was eight.29 moments expected to come in the fresh hypothesis that there was a difference between men and women people than in the brand new theory out of equivalent proficiency between your sexes. This indicates that there is confident otherwise generous proof a difference in a man and you will female youngsters, which have a sized effectation of .twenty-eight (.10, .45). For this reason, there is proof that guys enjoys higher perceived proficiency inside developing “online presentations” than the female. This effect is actually suffered when together with a past distribution having a keen r factor of just one.5 (Bayes foundation = 5.36), while the shown inside Fig. step 1.