Participants
A maximum of 923 children responded to the new COBADI 2.0 survey (Desk step 1). Brand new test comprised primarily of females (81.2%), more youthful (median ages = (5.2), minute. = 17, maximum. = 50), and in its first 12 months on school (fifty.2%). Bayesian inference allows us to analyze inequitable examples with respect to gender as it lets incorporating the studies for coding later on. The latest survey was brought electronically to help you people training Societal Knowledge and you can Public Functions (Universidad Pablo de- Olavide) and you can Pedagogy (UNED) during the informative age and you may . There have been no restrictions into the contribution, with no economic or instructional added bonus are offered to engage contained in this investigation.
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 results for “Competences about accessibility ICT into the look and cures of information”, we keep in mind that one another female and male students end up being he’s got a beneficial number of ability on the usage of “search engines like google”, “web browsers”, “electronic cartography” and you may “podcasting”. The various tools they normally use that have faster promise was “QR requirements” as well as the production of “on line demonstrations”. Gender differences was obvious on the access to “digital cartography”, which have a good Bayes grounds from , and that reveals that the data is actually minutes very likely to come in the theory you to says you will find an improvement ranging from men and female students compared to the new hypothesis regarding equal proficiency anywhere between brand new sexes. This shows that is very good or definitive research when you look at the rather have from a difference ranging from men and women, that have a size of aftereffect of .34 (.17, .51). Hence, there’s facts that the men children features higher detected skills during the digital cartography compared to the female pupils. It feeling is suffered to your addition away from a previous distribution that have an enthusiastic r factor of just one.5 (Bayes basis = , quite strong otherwise definitive facts). In terms of ability into the “on line demonstrations”, the results show an excellent Bayes grounds from seven.31, which implies that the information and knowledge are 7.29 times expected to are available in new theory that there is a change between men and women people than in the fresh theory off equal skills amongst the sexes. This proves that there’s confident otherwise nice proof of good difference in the male and you will female children, having a size of aftereffect of .twenty eight (.ten, .45). For this reason, discover proof your dudes possess better observed competence into the development “on line presentations” than the female. It impression is sustained when also a previous shipment that have a keen roentgen factor of 1.5 (Bayes factor = 5.36), just like rumensk kone the revealed in Fig. step 1.
