• DocumentCode
    526141
  • Title

    Analyses of multicollinearity of m-learning and e-learning

  • Author

    Fetaji, Majlinda ; Fetaji, Bekim ; Ebibi, Mirlinda

  • Author_Institution
    Contemporary Sci. & Technol., South East Eur. Univ., Tetovo, Macedonia
  • fYear
    2010
  • fDate
    21-24 June 2010
  • Firstpage
    355
  • Lastpage
    360
  • Abstract
    The focus of this research study was the invesitagation of multicollinearity of m-learning and e-learning factors. The investigation also tested the correlation between the variables that served as indicators for analyses of multicollinearity. After the data was colected and analysed used regression equations to measure the statistical significance of the data obtained and their relationship. Tested the level that the regression equation predicted the multicolinearity. Findings are presented and recommendations are provided.
  • Keywords
    computer aided instruction; data analysis; mobile computing; regression analysis; e-learning; m-learning; multicollinearity analysis; regression equations; statistical significance; M-learning; Multicollinearity; Regression Model of Statistical Significance of Results; e-learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology Interfaces (ITI), 2010 32nd International Conference on
  • Conference_Location
    Cavtat/Dubrovnik
  • ISSN
    1330-1012
  • Print_ISBN
    978-1-4244-5732-8
  • Type

    conf

  • Filename
    5546442