Literature DB >> 23671059

Psychometric properties of the internet addiction test in Chinese adolescents.

Ching-Man Lai1, Kwok-Kei Mak, Hiroko Watanabe, Rebecca P Ang, Joyce S Pang, Roger C M Ho.   

Abstract

OBJECTIVE: This study examined the psychometric properties of the Young's Internet Addiction Test (IAT) in 844 Hong Kong Chinese adolescents (37.7% boys) with mean age of 15.9 (standard deviation = 3.5) years.
METHODS: Demographic items, Internet use habits, IAT, and the Revised Chen Internet Addiction Scale (CIAS-R) were administered. 3 percent of the participants were classified as addicted and 31.6% as occasional problematic Internet users. Confirmatory factor analysis results indicated that the 18-item second-order three-factor model has the best fit with our data (Satorra-Bentler scaled χ(2) = 160.56, df = 132, p < .05, normed fit index = 0.95, non-normed fit index = 0.99, comparative fit index = 0.99, root mean square error of approximation = 0.02).
RESULTS: IAT demonstrated strong internal consistency (Cronbach's α = .93). Satisfactory concurrent and convergent validity of IAT were found moderately correlated with CIAS-R (r = .46) and the average online time per day (r = .40 for weekdays; r = .37 for weekends).
CONCLUSION: IAT has evidence of being a valid and reliable scale for screening Internet addiction in Chinese adolescents.

Entities:  

Keywords:  Internet Addiction Test; adolescents; psychometric properties

Mesh:

Year:  2013        PMID: 23671059     DOI: 10.1093/jpepsy/jst022

Source DB:  PubMed          Journal:  J Pediatr Psychol        ISSN: 0146-8693


  47 in total

1.  Greek version of the Internet Addiction Test: a validation study.

Authors:  Zoi Tsimtsiou; Anna-Bettina Haidich; Stamatia Kokkali; Theodoros Dardavesis; Kimberly S Young; Malamatenia Arvanitidou
Journal:  Psychiatr Q       Date:  2014-06

2.  Are adolescents with internet addiction prone to aggressive behavior? The mediating effect of clinical comorbidities on the predictability of aggression in adolescents with internet addiction.

Authors:  Jae-A Lim; Ah Reum Gwak; Su Mi Park; Jun-Gun Kwon; Jun-Young Lee; Hee Yeon Jung; Bo Kyung Sohn; Jae-Won Kim; Dai Jin Kim; Jung-Seok Choi
Journal:  Cyberpsychol Behav Soc Netw       Date:  2015-04-22

3.  Internet addiction prevalence and quality of (real) life: a meta-analysis of 31 nations across seven world regions.

Authors:  Cecilia Cheng; Angel Yee-lam Li
Journal:  Cyberpsychol Behav Soc Netw       Date:  2014-12

4.  Psychometric Validation of the Chinese Compulsive Internet Use Scale (CIUS) with Taiwanese High School Adolescents.

Authors:  Amandeep Dhir; Sufen Chen; Marko Nieminen
Journal:  Psychiatr Q       Date:  2015-12

Review 5.  Internet gaming disorder: Trends in prevalence 1998-2016.

Authors:  Wendy Feng; Danielle E Ramo; Steven R Chan; James A Bourgeois
Journal:  Addict Behav       Date:  2017-06-16       Impact factor: 3.913

6.  A Cross-Sectional Study on the Prevalence, Risk Factors, and Ill Effects of Internet Addiction Among Medical Students in Northeastern India.

Authors:  Kamal Nath; Subrata Naskar; Robin Victor
Journal:  Prim Care Companion CNS Disord       Date:  2016-03-31

7.  Decreased functional connectivity of insula-based network in young adults with internet gaming disorder.

Authors:  Yanzhen Zhang; Wei Mei; John X Zhang; Qiulin Wu; Wei Zhang
Journal:  Exp Brain Res       Date:  2016-04-27       Impact factor: 1.972

8.  Validation of the Internet Addiction Test in Students at a Pakistani Medical and Dental School.

Authors:  Ahmed Waqas; Faisal Farooq; Mohsin Raza; Saamia Tahir Javed; Spogmai Khan; Mahrukh Elahi Ghumman; Sadiq Naveed; Mark Haddad
Journal:  Psychiatr Q       Date:  2018-03

9.  Psychometric properties of the Revised Chen Internet Addiction Scale (CIAS-R) in Chinese adolescents.

Authors:  Kwok-Kei Mak; Ching-Man Lai; Chih-Hung Ko; Chien Chou; Dong-Il Kim; Hiroko Watanabe; Roger C M Ho
Journal:  J Abnorm Child Psychol       Date:  2014-10

10.  Longitudinal psychosocial factors related to symptoms of Internet addiction among adults in early midlife.

Authors:  Chenshu Zhang; Judith S Brook; Carl G Leukefeld; David W Brook
Journal:  Addict Behav       Date:  2016-06-14       Impact factor: 3.913

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