Participants
All in all, 923 people taken care of immediately brand new COBADI 2.0 survey (Desk step one). This new take to consisted mostly of women (81.2%), more youthful (median ages = (5.2), minute. = 17, max. = 50), as well as in its first 12 months during the college (fifty.2%). Bayesian inference lets us become familiar with inequitable products with respect to gender because it lets the addition of brand new study having coding down the road. The newest survey is actually put electronically so you can youngsters discovering Personal Education and you will Personal Functions (Universidad Pablo de Olavide) and you can Pedagogy (UNED) within the informative age and . There have been no limitations with the participation, and no economic or academic extra is actually available to participate inside investigation.
Overall performance
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 https://getbride.org/blog/ovat-postimyynnissa-morsian-laittomia/ 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.
About outcomes for “Competences regarding the accessibility ICT with the look and you may medication of data”, we remember that one another men and women youngsters feel they have an excellent quantity of ability regarding accessibility “google”, “internet browsers”, “electronic cartography” and “podcasting”. The tools they use having quicker promise was “QR codes” and also the production of “on the web demonstrations”. Gender huge difference is obvious about the means to access “electronic cartography”, which have a beneficial Bayes foundation out of , and therefore reveals that the information and knowledge try minutes very likely to come on theory one to says discover a difference between male and women college students compared to this new hypothesis out of equivalent ability between the newest sexes. This proves which is very good or decisive research for the go for away from a big change ranging from women and men, that have a size of effect of .34 (.17, .51). Thus, there was research the male students possess deeper perceived skills when you look at the digital cartography versus women children. That it feeling was suffered on the inclusion out of an earlier distribution which have an r parameter of 1.5 (Bayes factor = , very good or definitive facts). With respect to proficiency from inside the “online demonstrations”, the results show an effective Bayes grounds from seven.31, hence suggests that the details are 7.30 times expected to are available in the fresh new hypothesis that there is a big difference ranging from men and women children than in the newest theory away from equal skills involving the sexes. This shows that there is self-confident or nice evidence of a great difference in the male and you may women college students, with a sized effect of .twenty-eight (.ten, .45). Ergo, there can be proof that men provides better recognized competence in the developing “on line demonstrations” compared to women. That it impression try sustained when along with an earlier distribution that have a keen roentgen factor of just one.5 (Bayes foundation = 5.36), given that revealed from inside the Fig. step one.
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