Published March 1, 2016 | Version 10004345
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Effects of Video Games and Online Chat on Mathematics Performance in High School: An Approach of Multivariate Data Analysis

Description

Regarding heavy video game players for boys and super online chat lovers for girls as a symbolic phrase in the current adolescent culture, this project of data analysis verifies the displacement effect on deteriorating mathematics performance. To evaluate correlation or regression coefficients between a factor of playing video games or chatting online and mathematics performance compared with other factors, we use multivariate analysis technique and take gender difference into account. We find the most important reason for the negative sign of the displacement effect on mathematics performance due to students’ poor academic background. Statistical analysis methods in this project could be applied to study internet users’ academic performance from the high school education to the college education.

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References

  • Rideout, V. J., Foehr, U. G., & Roberts, D. F. (2010). Generation M2: Media in the lives of 8- to 18-year-olds. Henry J. Kaiser Family Foundation. Retrieved on 01/20/2013 from the Henry J. Kaiser Family Foundation Website: http://www.kff.org/newsroom
  • Hornik, R. (1981). Out-of-school television and schooling: Hypotheses and methods. Review of Educational Research, 51(2), 193-214. doi:10.3102/00346543051002193
  • Robinson, J. P. (1969). Television and leisure time: yesterday, today, and (maybe) tomorrow. Public Opinion Quarterly, 33(2), 210-222. doi:10.1086/267692
  • Ritchie, D., Price, V., & Roberts, D. F. (1987). Television, Reading, and Reading Achievement: A Reappraisal. Communication Research, 14(3), 292-315. doi:10.1177/009365087014003002
  • Vandewater, E. A., Bickham, D. S., & Lee, J. H. (2006). Time well spent? Relating television use to children's free-time activities. Pediatrics, 117(2), 181-191. doi: 10.1542/peds.2005-0812
  • Ingels, S. J., Pratt, D. J., Herget, D. R., Dever, J. A., Fritch, L. B., Ottem, R., ... Christopher, E. (2013). High School Longitudinal Study of 2009: Base-year to first follow-up data files documentation (Report No. NCES 2014-361). Retrieved on 01/30/2014 from National Center for Education Statistics Website: http://nces.ed.gov
  • Barko, T., & Sadler, T. D. (2013). Practicality in virtuality: Finding student meaning in video game education. Journal of Science Education and Technology, 22(2), 124-132. doi:10.1007/s10956-012-9381-0
  • Squire, K. D. (2008). Video game–based learning: An emerging paradigm for instruction. Performance Improvement Quarterly, 21(2), 7-36. doi:10.1002/piq.21139
  • Phillips, C. A., Rolls, S., Rouse, A., & Griffiths, M. D. (1995). Home video game playing in schoolchildren: A study of incidence and patterns of play. Journal of Adolescence, 18(6), 687-691. doi:10.1006/jado.1995.1049 [10] Burgess, S. R., Stermer, S. P., & Burgess, M. C. (2012). Video game playing and academic performance in college students. College Student Journal, 46(2), 376-87.