On the other hand, zero item put proof difference heterogeneity between your sexes

On the other hand, zero item put proof difference heterogeneity between your sexes


A total of 923 pupils responded to the fresh new COBADI 2.0 survey (Desk 1). The brand new shot consisted generally of women (81.2%), young (average age = (5.2), min. = 17, max. = 50), plus in the first year at the university (50.2%). Bayesian inference allows us to become familiar with inequitable samples with respect to gender whilst allows the addition of brand new data to own coding subsequently. The survey was introduced electronically to help you people learning Social Knowledge and you can Personal Works (Universidad Pablo de Olavide) and Pedagogy (UNED) in academic decades and . There were zero limitations towards the participation, without economic otherwise informative billige portugisisk bruder incentive is available to participate within this analysis.


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 results for “Competences on use of ICT towards the look and you may cures of data”, i note that both men and women youngsters getting he’s an excellent number of proficiency regarding entry to “the search engines”, “browsers”, “digital cartography” and “podcasting”. The equipment they use with less assurance are “QR requirements” therefore the creation of “online demonstrations”. Gender huge difference is actually apparent on access to “digital cartography”, having a Bayes grounds regarding , which demonstrates that the content was times very likely to come about hypothesis you to says there is certainly a change anywhere between male and you can women people than in the fresh new hypothesis regarding equivalent competence between the brand new sexes. This indicates that is quite strong or definitive research into the rather have away from a big difference ranging from women and men, having a measurements of aftereffect of .34 (.17, .51). For this reason, there’s evidence that the men children possess greater perceived ability inside the digital cartography compared to feminine people. This feeling try suffered to the introduction away from an earlier shipping which have an enthusiastic r factor of just one.5 (Bayes basis = , very good otherwise definitive research). With regards to ability for the “on the web presentations”, the results show a great Bayes grounds of 7.31, and this reveals that the content are 7.31 moments very likely to are available in the fresh theory there are a difference between female and male pupils compared to the hypothesis of equal skills within sexes. This shows that there is self-confident or generous evidence of an effective difference between a man and you may female youngsters, having a size of aftereffect of .twenty-eight (.10, .45). For this reason, there clearly was proof your dudes enjoys deeper thought proficiency from inside the developing “on the internet demonstrations” compared to female. Which perception try sustained when as well as a previous distribution with a keen roentgen parameter of just one.5 (Bayes grounds = 5.36), as the shown within the Fig. 1.


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