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Tytuł:
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Psychometric evaluation of the internet addiction test in India.
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Autorzy:
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Sharma MK; Department of Clinical Psychology, SHUT clinic(Service for Healthy Use of Technology), National Institute of Mental Health & Neuro Sciences, Bengaluru, Karnataka, India. Electronic address: .
Hallford DJ; School of Psychology, Deakin University, 1 Gheringhap Street, Geelong, 3220 Melbourne, Victoria, Australia. Electronic address: .
Anand N; Department of Clinical Psychology, National Institute of Mental Health & Neuro Sciences, Bengaluru, Karnataka, India. Electronic address: .
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Źródło:
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Asian journal of psychiatry [Asian J Psychiatr] 2022 Jul; Vol. 73, pp. 103136. Date of Electronic Publication: 2022 Apr 22.
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Typ publikacji:
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Journal Article
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Język:
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English
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Imprint Name(s):
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Original Publication: [Amsterdam] : Elsevier
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MeSH Terms:
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Internet Addiction Disorder*/diagnosis
Surveys and Questionnaires*
Factor Analysis, Statistical ; Humans ; India ; Psychometrics ; Reproducibility of Results ; Young Adult
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Contributed Indexing:
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Keywords: Confirmatory factor analysis; Exploratory factor analysis; Internet addiction; Internet addiction test
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Entry Date(s):
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Date Created: 20220519 Date Completed: 20220609 Latest Revision: 20220610
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Update Code:
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20240105
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DOI:
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10.1016/j.ajp.2022.103136
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PMID:
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35588630
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The Internet Addiction Test is a widely used assessment of symptoms of internet addiction. Although originally proposed as assessing different components of internet addiction, research has been mixed in terms of its factor structure. This study is the first to examine the psychometric properties of the IAT in an Indian population. A large sample (N = 2700) of Indians living in the Southern city of India were recruited door-to-door and completed the IAT and other validity measures. In Study 1, an exploratory factor analysis (n = 1375) indicated a one-factor structure, with 13 items measuring symptoms of internet addiction. This short-form IAT showed construct and convergent validity by correlating with higher daily internet use, higher scores on measures of problematic internet gaming, social media use, and smartphone use, and functional impact. In Study 2, confirmatory factor analysis (n = 1375) indicted this one-factor structure was a good fit to the data, and the correlations with validity measures were replicated. This short-form IAT appears to be valid as a measure of one underlying factor of problematic internet use in young Indian adults.
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