Discriminant Analysis of Identity Styles, Academic Self-Efficacy and Academic Hope Among Students with Internet Abusive Use and Normal Students

Document Type : Research Paper

Authors

1 PhD Student, Department of Psychology, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran

2 Assistant Professor, Department of Psychology, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran

3 Associate Professor, Department of biology, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran.

Abstract

Introduction: The purpose of this research was Discriminant analysis of Academic hope, identity styles and academic self-efficacy in students with internet abusive use and normal students.

research methodology: To do this through descriptive research (causal- comparative), 210 participants (105 students with internet abusive use and 105 normal students) in the academic year 2017-2018 which selected from through purposive sampling. The participants were requested to fill out The Internet Abusive Use Questionnaire, Academic hope Questionnaire, identity styles Questionnaire and academic self-efficacy Questionnaire

Findings: According to the findings of the research, the results show that The results of the clean analysis showed that the confused/avoidant identity style variable was positively and significantly, as well as the normative identity style variables, educational hope, texture, talent, commitment identity style and informational identity negatively and significantly capable of being a member of a knowledge group. Predict students affected by the Internet and normal students. Due to the low structural coefficient, the effort variable was not able to predict the group membership of students affected by the Internet and normal students. Also, the variables of normative identity, academic hope, context, talent, commitment identity and informational identity are more in normal students.

Conclusion: The results of this investigation admitted the role of Academic hope, identity styles and academic self-efficacy as variants of the predictors of the possibility of internet abusive use in students.

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