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

Persian Verion

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:

2,702
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

1

Information Journal Paper

Title

THE STUDYING OF PREDICTOR PERSONALITY VARIABLES OF INTERNET ADDICTION

Pages

  359-366

Abstract

 Background and Objective: It seems that INTERNET involves increasing parts of people's daily lives, every day. In recent years, many reports have been published based on user's ADDICTION to INTERNET. The purpose of the present study was to evaluate predicting personality variables of ADDICTION/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">INTERNET ADDICTION.Materials and methods: Among INTERNET users willing to cooperate in Ahvaz city net-shops and computer training centers, 100 people (56 female/ 44 male) were selected regardless of age, occupation and education. They completed ADDICTION/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">INTERNET ADDICTION Questionnaire and NEO test. Population samples were divided into two groups: addicted and non-addicted. Their PERSONALITY STYLES were determined based on two dimensions: Neuroticism and extroversion. Then data were analyzed using logistic regression model by SPSS software.Results: According to this study 86% of users had ADDICTION/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">INTERNET ADDICTION (56%mild, 28% moderate and 2% severe) and 14% did not. Twelve PERSONALITY STYLES in terms of neuroticism and extroversion were entered in the logistic regression statistical models. ADDICTION/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">INTERNET ADDICTION predictor styles included: stress vulnerability (p<0.0001), and impulsively (p<0.05), Being active (p<0.05) and excitement policy (P<0.05). Also, there is a significant relationship between ADDICTION/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">INTERNET ADDICTION, teen aging (P<0.03) and being unemployed (P<0.0001).Conclusion: According to the results of this study, it seems that PERSONALITY STYLES are suitable predictors for vulnerability for ADDICTION/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">INTERNET ADDICTION. The results suggest that INTERNET users' character assessment, and identifying individuals at risk, can help prevent ADDICTION/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">INTERNET ADDICTION.

Cites

References

  • No record.
  • Cite

    APA: Copy

    KHAJEH MOUGAHI, N., & ALASVAND, M.. (2010). THE STUDYING OF PREDICTOR PERSONALITY VARIABLES OF INTERNET ADDICTION. JUNDISHAPUR SCIENTIFIC MEDICAL JOURNAL, 9(4 (67)), 359-366. SID. https://sid.ir/paper/12216/en

    Vancouver: Copy

    KHAJEH MOUGAHI N., ALASVAND M.. THE STUDYING OF PREDICTOR PERSONALITY VARIABLES OF INTERNET ADDICTION. JUNDISHAPUR SCIENTIFIC MEDICAL JOURNAL[Internet]. 2010;9(4 (67)):359-366. Available from: https://sid.ir/paper/12216/en

    IEEE: Copy

    N. KHAJEH MOUGAHI, and M. ALASVAND, “THE STUDYING OF PREDICTOR PERSONALITY VARIABLES OF INTERNET ADDICTION,” JUNDISHAPUR SCIENTIFIC MEDICAL JOURNAL, vol. 9, no. 4 (67), pp. 359–366, 2010, [Online]. Available: https://sid.ir/paper/12216/en

    Related Journal Papers

    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