Open Access
Issue
SHS Web of Conferences
Volume 26, 2016
ERPA International Congresses on Education 2015 (ERPA 2015)
Article Number 01093
Number of page(s) 9
DOI https://doi.org/10.1051/shsconf/20162601093
Published online 26 April 2016
  1. Boonyasit, W., Appropriate statistical analysis for two independent groups of Likerttype data, Dissertation, American University Washington, (2011) [Google Scholar]
  2. De Winter, J. C. F. and DodouD., Five-Point Likert Items: t test versus Mann-Whitney-Wilcoxon, Practical Assessment, Research & Evaluation, Vol.: 15, No.:11, ISSN: 1531-s7714, (2010) [Google Scholar]
  3. Jamieson, S., Likert scales: how to (ab)use them, MEDICAL EDUCATION 2004; Vol.: 38, pp 1217–1218, (2004) [Google Scholar]
  4. Kiss, G. (2009). The survey measuring the informatics skills of the entering Students at Budapest Tech, Bánki Donát Faculty of Mechanical and Safety Engineering, 7th IEEE International Symposium on Intelligent System and Informatics, Subotica, Serbia, ISBN: 978-1-4244-5348-1, pp:395–397, IEEE Xplore digital library Digital Object Identifier: 10.1109/SISY.2009.5291125 [Google Scholar]
  5. Kiss, G. (2010a). A comparison of informatics skills by genders of Hungarian grammar school students, 8th International Conference on Applied Informatics, Eger, ISBN 978 9894 72 3, Vol. 2., pp. 17–27 [Google Scholar]
  6. Kiss, G. (2010b) A Comparison of Informatics Skills by Genders when entering Higher Education in Hungary, 8th IEEE International Symposium on Intelligent System and Informatics, Subotica, Serbia, ISBN: 978-1-4244-7395-3, pp.179–182, sIEEE Catalog Number: CFP1084C-CDR, IEEE Xplore digital library Digital Object Identifier: 10.1109/SISY.2010.5647280 [Google Scholar]
  7. Kiss, G. (2010c) AComparison of Programming Skills by Genders of Hungarian Grammar School Students, Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, Xi’An, China, ISBN: 978-0-7695-4272-0, pp.24–30, IEEE Catalog Number: CFP1075H-CDR, IEEE Xplore digital library Digital Object Identifier: 10.1109/UIC-ATC.2010.83 [Google Scholar]
  8. Kiss, G. (2011a) A Comparison of Informatics Skills by schooltypes in the 9-10th grades in Hungary, International Journal of Advanced Research in Computer Science, Vol.: 2, No.2, ISSN: 0976-5697, pp. 417–428 [Google Scholar]
  9. Kiss, G. (2011b). Measuring Student’s Computer Science Knowledge at the End of the primary stage in Hungary, 9th IEEE International Symposium on Applied Machine Intelligence and Informatics, Smolenice, Slovakia, ISBN: 978-1-4244-7428-8, pp.19–22, IEEE Catalog Number: CFP1108E-CDR, IEEE Xplore digital library Digital Object Identifier: 10.1109/SAMI.2011.5738880 [Google Scholar]
  10. Kiss, G. (2012). Measuring Hungarian and Slovakian Students’ IT Skills and Programming Knowledge, Acta Polytechnica Hungarica, Vol. 9., No. 6, 2012, ISSN: 1785-8860, pp. 195–210. [Google Scholar]
  11. Likert, R. (1932). A technique for the measurement of attitudes, Archives of Psychology, Vol.: 27, No.:140, pp 44–55 [Google Scholar]

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