Problematic internet use: variants of cognitive-behavioural model under path analysis
Teo, Chai Ping Agnes, Lim, Kokkwang, and Oei, Po Tian (2017) Problematic internet use: variants of cognitive-behavioural model under path analysis. International Journal of Psychology & Behavior Analysis, 3 (2). 130.
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Abstract
Internet use has been receiving increasing attention from researchers and clinicians. However, few theoretical models of problematic internet use have been tested empirically, especially in Asia where a considerably high number of internet users have been documented. This study proposed variations of and tested Davis’s [1] modified cognitive-behavioural model of problematic internet use in an Asian sample. The participants were 296 university students (60.8% female, 39.2% male) between 17 and 49 years of age in Singapore. The results from path analyses did not support Davis’s model as a whole. However, significant pathways were found between psychopathology and maladaptive cognitions, as well as between maladaptive cognitions and generalised problematic internet use. Implications for research foci in the future were discussed.
Item ID: | 51282 |
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Item Type: | Article (Research - C1) |
ISSN: | 2455-3867 |
Keywords: | computer and human behaviour, internet use, maladaptive cognitions, cognitive-behavioural model, university students in Asia. |
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Additional Information: | 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, provided the original author and source are credited. |
Date Deposited: | 18 Oct 2017 23:22 |
FoR Codes: | 52 PSYCHOLOGY > 5203 Clinical and health psychology > 520304 Health psychology @ 90% 52 PSYCHOLOGY > 5205 Social and personality psychology > 520505 Social psychology @ 10% |
SEO Codes: | 92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920410 Mental Health @ 50% 92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920401 Behaviour and Health @ 50% |
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