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      Determinants of Phubbing, Which is the Sum of Many Virtual Addictions: A Structural Equation Model

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          Abstract

          Background and Aims

          Phubbing can be described as an individual looking at his or her mobile phone during a conversation with other individuals, dealing with the mobile phone and escaping from interpersonal communication. In this research, determinants of phubbing behavior were investigated; in addition, the effects of gender, smart phone ownership and social media membership were tested as moderators.

          Methods

          To examine the cause–effect relations among the variables of the theoretical model, the research employs a correlational design. Participants were 409 university students who were selected via random sampling. Phubbing was obtained via the scales featuring mobile phone addiction, SMS addiction, internet addiction, social media addiction and game addiction. The obtained data were analyzed using a correlation analysis, multiple linear regression analysis and structural equation model.

          Results

          The results showed that the most important determinants of phubbing behavior are mobile phone, SMS, social media and internet addictions.

          Discussion

          Although the findings show that the highest correlation value explaining phubbing is a mobile phone addiction, the other correlation values reflect a dependency on the phone.

          Conclusions

          There is an increasing tendency towards mobile phone use, and this tendency prepares the basis of phubbing.

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          Most cited references75

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          A cognitive-behavioral model of pathological Internet use

          R.A. Davis (2001)
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            Development of a Facebook Addiction Scale.

            The Bergen Facebook Addiction Scale (BFAS), initially a pool of 18 items, three reflecting each of the six core elements of addiction (salience, mood modification, tolerance, withdrawal, conflict, and relapse), was constructed and administered to 423 students together with several other standardized self-report scales (Addictive Tendencies Scale, Online Sociability Scale, Facebook Attitude Scale, NEO-FFI, BIS/BAS scales, and Sleep questions). That item within each of the six addiction elements with the highest corrected item-total correlation was retained in the final scale. The factor structure of the scale was good (RMSEA = .046, CFI = .99) and coefficient alpha was .83. The 3-week test-retest reliability coefficient was .82. The scores converged with scores for other scales of Facebook activity. Also, they were positively related to Neuroticism and Extraversion, and negatively related to Conscientiousness. High scores on the new scale were associated with delayed bedtimes and rising times.
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              Psychological predictors of problem mobile phone use.

              Mobile phone use is banned or illegal under certain circumstances and in some jurisdictions. Nevertheless, some people still use their mobile phones despite recognized safety concerns, legislation, and informal bans. Drawing potential predictors from the addiction literature, this study sought to predict usage and, specifically, problematic mobile phone use from extraversion, self-esteem, neuroticism, gender, and age. To measure problem use, the Mobile Phone Problem Use Scale was devised and validated as a reliable self-report instrument, against the Addiction Potential Scale and overall mobile phone usage levels. Problem use was a function of age, extraversion, and low self-esteem, but not neuroticism. As extraverts are more likely to take risks, and young drivers feature prominently in automobile accidents, this study supports community concerns about mobile phone use, and identifies groups that should be targeted in any intervention campaigns.
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                Author and article information

                Journal
                J Behav Addict
                J Behav Addict
                jba
                JBA
                Journal of Behavioral Addictions
                Akadémiai Kiadó
                2062-5871
                2063-5303
                June 2015
                27 May 2015
                : 4
                : 2
                : 60-74
                Affiliations
                [1 ]Eskişehir Osmangazi University , Eskişehir, Turkey
                [2 ]Artvin Çoruh University , Artvin, Turkey
                Author notes
                * Corresponding author: Engin Karadaǧ; Eskişehir Osmangazi University, College of Education, 26480 Meşelik, Eskişehir, Turkey; Phone: +90 222 239 37 50 / 1644; Fax: +90 22 229 21 24; E-mail: enginkaradag@ 123456ogu.edu.tr , engin.karadag@ 123456hotmail.com
                Article
                10.1556/2006.4.2015.005
                4500886
                26014669
                ee5e2697-fbfd-48fd-8195-67ed852ac246
                © 2015 Akadémiai Kiadó, Budapest

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original author and source are credited.

                History
                : 9 September 2014
                : 19 February 2015
                : 23 February 2015
                Page count
                Figures: 2, Tables: 5, References: 97, Pages: 15
                Funding
                No financial support was received for this study.
                Categories
                Full-Length Report

                phubbing,phubber,addiction,mobile phone,social media,internet,structural equation model

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