:: Volume 19, Number 2 (summer 2017) ::
JHC 2017, 19(2): 177-188 Back to browse issues page
The Role of Cognitive Failure, Innovation and Risk-Taking in Explanation of Internet Addiction
S Moradi, Tayebe Yeganeh , K Najafi, A Abolghasemi, N Haghparast
Abstract:   (26 Views)
Background and aim: Study of internet addiction in Iran is a new move. Therefore, studying and determining its predictive psychological factors is essential. The current research aimed to study the role of some factors in explanation of internet addiction including cognitive failure, innovation and risk-taking.
Methods: The design of the study was correlational and descriptive. From all students of Mohaghegh Ardabili University in educational year of 2012-13, 321individuals (177 female and 144 males) were selected as sample using convenience sampling method. Broadbent Cognitive Failures Questionnaire (CFQ), Jackson Innovation scale, Risk-taking scale and Young’s Internet Addiction Test were used to for data collection. Moreover, the obtained data were analyzed by SPSS-22, analysis of the data carried out by Pearson correlation and Regression analysis.
Results: There was a positive significant correlation between cognitive failure and internet addiction, and also between risk-taking and internet addiction. Totally, risk-taking and cognitive failure can predict 11 percent of changes of factor variable.
Conclusion: Based on the results, the manner of using internet can be related to cognitive, emotional and personality characteristics of the internet users. It is expected that these findings not only improve the knowledge of this field, but also support protective factors and removing risky behaviors. Additionally, it can be used as a helpful tool in intervention programs in this field.
Keywords: Internet Addiction, Cognitive Failure, Innovation, Risk-Taking.
Full-Text [PDF 158 kb]   (16 Downloads)    
Type of Study: quasi-experimental | Subject: General
Received: 2016/04/2 | Accepted: 2017/05/28 | Published: 2017/09/7

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Volume 19, Number 2 (summer 2017) Back to browse issues page