Simultaneously, no goods introduced evidence of variance heterogeneity within sexes
Participants
All in all, 923 students taken care of immediately this new COBADI 2.0 survey (Dining table step one). The brand new shot consisted mostly of women (81.2%), young (median decades = (5.2), minute. = 17, max. = 50), along with its first year in the school (50.2%). Bayesian inference lets us learn inequitable products in terms of gender as it allows incorporating the fresh data for programming later on. The newest survey are lead electronically in order to students learning Public Degree and you may Public Really works (Universidad Pablo de- Olavide) and you may Pedagogy (UNED) when you look at the instructional ages and you can . There have been zero restrictions on the contribution, without monetary or informative bonus is offered to take part inside 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.
About outcomes for “Competences throughout the use of ICT into search and you will treatment of information”, i keep in mind that one another female and male college students getting he’s got an excellent amount of competence regarding use of “the search engines”, “internet explorer”, “electronic cartography” and you will “podcasting”. The tools they normally use that have quicker guarantee are “QR codes” while the production of “on the internet demonstrations”. Gender huge difference is actually obvious from the use of “digital cartography”, which have a Bayes factor away from , and this implies that the info try moments very likely to arrive on theory one to claims there is a significant difference between men and you will feminine people compared to brand new theory regarding equivalent competence between brand new sexes. This proves which is quite strong or decisive proof when you look at the go for regarding a change ranging from women and men, having a measurements of aftereffect of .34 (.17, .51). Ergo, there is evidence that men pupils provides better thought ability from inside the electronic cartography as compared to feminine children. So it perception are sustained for the addition from a previous distribution which have piipahda tГ¤llГ¤ sivustolla a keen roentgen factor of 1.5 (Bayes foundation = , very strong otherwise definitive proof). With respect to ability in “on line presentations”, the outcomes inform you a great Bayes foundation off seven.29, hence demonstrates the information and knowledge is eight.29 minutes very likely to appear in this new hypothesis there is actually a big change between men and women people compared to the fresh hypothesis out of equivalent ability between the sexes. This indicates that there surely is confident otherwise good proof of an effective difference in the male and female people, with a size of aftereffect of .twenty-eight (.10, .45). Hence, there is evidence the dudes possess deeper perceived skills for the developing “on the web presentations” compared to the female. Which perception is sustained when as well as a prior delivery having a keen r parameter of just one.5 (Bayes factor = 5.36), just like the revealed within the Fig. step one.
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