Members
A total of 923 college students taken care of immediately the brand new COBADI dos.0 questionnaire (Desk step one). The new test consisted generally of females (81.2%), more youthful (median ages = (5.2), minute. = 17, maximum. = 50), as well as in its first 12 months on university (50.2%). Bayesian inference allows us to get acquainted with inequitable examples in terms of gender as it allows incorporating this new investigation for programming later on. The brand new questionnaire is introduced digitally to pupils studying Societal Education and you can Personal Work (Universidad Pablo de Olavide) and you can Pedagogy (UNED) for the educational many years and you can . There have been zero restrictions into involvement, without financial or informative incentive are offered to participate within this investigation.
Results
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.
In the outcomes for “Competences on the use of ICT into the look and you will medication of data”, i observe that both men and women pupils end up being they have an effective level of competence regarding access to “search-engines”, “web browsers”, “digital cartography” and you may “podcasting”. The tools they normally use having less assurance try “QR requirements” and also the creation of “on line presentations”. Gender huge difference is noticeable on access to “electronic cartography”, that have good Bayes grounds of , and this shows that the data was minutes prone to are available on theory one to states discover a distinction anywhere between men and you may feminine youngsters compared to this new theory regarding equivalent competence ranging from new sexes. This indicates which is quite strong or decisive proof from inside the rather have regarding a big change https://getbride.org/no/osterrikske-kvinner/ between gents and ladies, with a size of effectation of .34 (.17, .51). Thus, there is certainly proof that the male pupils have greater thought of proficiency inside electronic cartography as compared to women children. So it impact is actually sustained with the inclusion out of a prior delivery that have an roentgen parameter of just one.5 (Bayes basis = , quite strong or definitive research). In terms of competence within the “online demonstrations”, the results let you know good Bayes basis from seven.31, hence implies that the information and knowledge is actually eight.29 times more likely to can be found in the fresh hypothesis that there is a distinction ranging from female and male students than in the fresh new hypothesis regarding equal ability between your sexes. This shows there is self-confident otherwise ample evidence of a beneficial difference in a man and you will women people, which have a sized effect of .twenty-eight (.10, .45). Therefore, there is facts the dudes provides better observed competence in developing “on the internet demonstrations” as compared to women. So it impact was sustained whenever and additionally a prior shipping which have a keen r factor of just one.5 (Bayes basis = 5.36), because revealed in the Fig. step one.
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