The Analysis of Internet Addiction Scale Using Multivariate Adaptive Regression Splines

Kayri M.

IRANIAN JOURNAL OF PUBLIC HEALTH, cilt.39, sa.4, ss.51-63, 2010 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 39 Sayı: 4
  • Basım Tarihi: 2010
  • Dergi Adı: IRANIAN JOURNAL OF PUBLIC HEALTH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
  • Sayfa Sayıları: ss.51-63
  • Anahtar Kelimeler: MARS, Piecewise function, Internet addiction, Linear correlation, MODELS
  • Van Yüzüncü Yıl Üniversitesi Adresli: Evet

Özet

Background: Determining real effects on Internet dependency is too crucial with unbiased and robust statistical method. MARS is a new non-parametric method in use in the literature for parameter estimations of cause and effect based research. MARS can both obtain legible model curves and make unbiased parametric predictions.