مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

368
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

133
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

THE ANALYSIS OF INTERNET ADDICTION SCALE USING MULTIVARIATE ADAPTIVE REGRESSION SPLINES

Author(s)

 KAYRI M. | Issue Writer Certificate 

Pages

  51-63

Abstract

 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. Methods: In order to examine the performance of MARS, MARS findings will be compared to Classification and Regression Tree (C&RT) findings, which are considered in the literature to be efficient in revealing correlations between variables. The data set for the study is taken from “The INTERNET ADDICTION Scale” (IAS), which attempts to reveal addiction levels of individuals. The population of the study consists of 754 secondary school students (301 female, 443 male students with 10 missing data). MARS 2.0 trial version is used for analysis by MARS method and C&RT analysis was done by SPSS. Results: MARS obtained six base functions of the model. As a common result of these six functions, regression equation of the model was found. Over the predicted variable, MARS showed that the predictors of daily Internet-use time on average, the purpose of Internet- use, grade of students and occupations of mothers had a significant effect (P< 0.05). In this comparative study, MARS obtained different findings from C&RT in dependency level prediction.Conclusion: The fact that MARS revealed extent to which the variable, which was considered significant, changes the character of the model was observed in this study.

Cites

  • No record.

    • References

    Cite

    APA: Copy

    KAYRI, M.. (2010). THE ANALYSIS OF INTERNET ADDICTION SCALE USING MULTIVARIATE ADAPTIVE REGRESSION SPLINES. IRANIAN JOURNAL OF PUBLIC HEALTH, 39(4), 51-63. SID. https://sid.ir/paper/272755/en

    Vancouver: Copy

    KAYRI M.. THE ANALYSIS OF INTERNET ADDICTION SCALE USING MULTIVARIATE ADAPTIVE REGRESSION SPLINES. IRANIAN JOURNAL OF PUBLIC HEALTH[Internet]. 2010;39(4):51-63. Available from: https://sid.ir/paper/272755/en

    IEEE: Copy

    M. KAYRI, “THE ANALYSIS OF INTERNET ADDICTION SCALE USING MULTIVARIATE ADAPTIVE REGRESSION SPLINES,” IRANIAN JOURNAL OF PUBLIC HEALTH, vol. 39, no. 4, pp. 51–63, 2010, [Online]. Available: https://sid.ir/paper/272755/en

    Related Journal Papers

  • No record.

    • Related Seminar Papers

  • No record.

    • Related Plans

  • No record.

    • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button