Psychology
niloofar tarafdarjadid; alireza kakavand; esmaeil shiri
Abstract
The present study aimed to develop a structural model of Internet addiction based on cognitive emotion self-regulation and impulsivity mediated by perceived social support in students. Method: The research method was descriptive-correlational type of structural equation modeling. The statistical ...
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The present study aimed to develop a structural model of Internet addiction based on cognitive emotion self-regulation and impulsivity mediated by perceived social support in students. Method: The research method was descriptive-correlational type of structural equation modeling. The statistical population of the study included all students of Imam Khomeini International University in Qazvin in the academic year 2023-2024, from which a sample of 360 people was selected by multi-stage cluster random sampling method. The research tools included Young's Internet Addiction Test (IAT), Cognitive Emotion Regulation Questionnaire (CERQ), Barrett's Impulsivity Scale (BIS-11) and Multidimensional Scale of Perceived Social Support (MSPSS). The data were analyzed through structural equation modeling by using two software SPSS-26 and Amos-29. Results: The findings showed that the conceptual model of the study has a good fit and the variables of cognitive emotion self-regulation, impulsivity and perceived social support have a direct and significant effect on Internet addiction. In the indirect paths, the effect of cognitive emotion self-regulation and impulsivity with the mediation of perceived social support on Internet addiction were confirmed. Conclusion: As a result, it can be said that the disability to cognitive emotion self-regulation, impulsive behaviors, and low levels of perceived social support can lead to Internet addiction in individuals. Therefore, paying attention to such influential factors in designing appropriate treatments and preventing Internet addiction can be very effective.
social Psychology
Somayeh Ashrafifard; Mohammad Mohammadipour; Mahmoud Jajarmi
Abstract
The present study employs structural equation modeling to assess the fit of a structural model encompassing Phubbing based on Personality Traits with the mediating role of Internet Addiction and Academic Boredom in Generation Z Students. A total of 556 people were surveyed using the cluster sampling ...
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The present study employs structural equation modeling to assess the fit of a structural model encompassing Phubbing based on Personality Traits with the mediating role of Internet Addiction and Academic Boredom in Generation Z Students. A total of 556 people were surveyed using the cluster sampling method from the research's statistical population, including all Generation Z students (born between 1997 and 2012) studying at Islamic Azad University, Tehran branches, during the second semester of the 2023-2024 academic year. The data collection tools included the Chutbitayasonvand and Douglas General Phubbing Scale (2018), Kimberly Young's Internet Addiction Questionnaire (1988), Costa and McCrae's Five-Factor Personality Inventory (1985), and Sharp et al.'s Academic Boredom Questionnaire (2010). The results of the study showed that the direct path coefficient between the factors of conscientiousness (β = -0.236, P = 0.001) and extraversion (β = -0.071, P = 0.015) with negative phubbing and the path coefficient between its neuroticism factor and phubbing (β = 0.138, P = 0.001) was positive and significant. The path coefficient between Internet addiction and phubbing (β=0.363, P=0.001) on the one hand and the path coefficient between academic boredom and phubbing (β=0.205, P=0.001) on the other hand were positive and significant. The results also showed that both mediating variables of Internet addiction and academic boredom positively mediated the relationship between the neuroticism personality factor and phubbing in Generation Z and negatively and significantly mediated the relationship between other personality factors and phubbing. Therefore, the proposed model, based on the effect of personality traits on phubbing, considering the mediating role of variables of Internet addiction and academic boredom, had an acceptable fit with the experimental data.
Amin Hasani
Volume 5, Issue 2 , November 2016, , Pages 26-51
Abstract
Aim: The present study was designed and conducted by the aim of investigating the relationship between brain behavioral systems and Internet addiction with mediating role of loneliness and cognitive emotion regulation strategies. Method: The study was of explorative type with correlational design. The ...
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Aim: The present study was designed and conducted by the aim of investigating the relationship between brain behavioral systems and Internet addiction with mediating role of loneliness and cognitive emotion regulation strategies. Method: The study was of explorative type with correlational design. The population consisted of all the male and female students in second level of secondary schools in district 4 of Karaj in 2016, among them 300 students (164 girls and 136 boys) were selected by multi-stage random sampling. They completed The Internet Addiction Test of Young (1998), The Revised form of University of California at Los Angles Loneliness Scale of Russel, Peplua and Cutrona (1980), Cognitive Emotion Regulation Questionnaire (CERQ-P) of Garnefski, Kraaij and Spinhoven (2001), and Behavioral Activation/Inhibition Systems Scale of Carver and White (1994). Data analysis was conducted through AMOS software and by path analysis method. Results: The results showed goodness of fit for the model, in which behavioral activation system had negative association with Internet addiction (- 0.566), and behavioral inhibition system had positive association with Internet addiction (0.496). Furthermore, the mechanism of the association was such that behavioral activation system decreases Internet activation through positive cognitive emotion regulation strategies, and on the other hand, behavioral inhibition system increases Internet addiction through negative cognitive emotion regulation strategies and loneliness. Conclusion: The results suggested that brain behavioral systems are of particular importance in explaining Internet addiction and it can play an effective role in individuals’ tendency to Internet behaviors involvement through loneliness and cognitive emotion regulation strategies.
Mansour Beyrami; yazdan movahedi; Masoumeh Movahedi
Volume 3, Issue 2 , January 2015, , Pages 109-122
Abstract
Introduction: Nowadays a large population of the world uses the Internet. Despite the numerous advantages of this technology leading to positive changes in communication, unfortunately some studies, have attributed dangerous complications to the Internet, the most destructive one being Internet addiction. ...
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Introduction: Nowadays a large population of the world uses the Internet. Despite the numerous advantages of this technology leading to positive changes in communication, unfortunately some studies, have attributed dangerous complications to the Internet, the most destructive one being Internet addiction. The present study was conducted with the aim of determining the relationship among components of Perceived Social Support and the Feeling of social- Emotional loneliness with Internet addiction in students. Method: To do this, 173 students from Tabriz University (78 males and 95 females) were selected by multiphase cluster-random sampling and in addition to demographic information, they completed the Perceived Social Support, Feeling of social- Emotional loneliness, and Internet addiction questionnaires. The data were analyzed by descriptive statistical methods, Pearson’s correlation coefficient, and multivariate regression. Results: Based on the results, there were significant relationships among Perceived Social Support and the Feeling of Social- Emotional Loneliness with Internet addiction (P
