The Development of a Short Version of the Internet Addiction Test: The IAT-7.
Using a valid and reliable scale to measure problems associated with excessive internet use is a key element of research on internet addiction (IA). The main goal of the current study was to develop a brief version of the Internet Addiction Test (IAT), the most widely used measure for assessing IA....
| Published in: | International Journal of Mental Health & Addiction Vol. 23; no. 2; pp. 1028 - 1054 |
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| Main Authors: | , , |
| Format: | Article |
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Springer Nature
Apr2025
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=184826059&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 184826059 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 15571874 46AW jtl: International Journal of Mental Health & Addiction issn: 15571874 maglogo: N pubinfo: dt: Apr2025 vid: 23 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 184826059 10.1007/s11469-023-01153-4 ppf: 1028 ppct: 26 formats: fmt: – @attributes: type: T – @attributes: type: P size: 943KB tig: atl: The Development of a Short Version of the Internet Addiction Test: The IAT-7. aug: au: Valenti, Giusy D. Craparo, Giuseppe Faraci, Palmira affil: https://ror.org/044k9ta02 Department of Psychology, Educational Science and Human Movement, University of Palermo, 90100, Palermo, Italy https://ror.org/04vd28p53 Faculty of Human and Social Sciences, University of Enna "Kore", Enna, Italy su: Psychometrics Internet addiction Time management Cognitive psychology Latent variables sug: subj: Psychometrics Internet addiction Time management Cognitive psychology Latent variables keyword: IAT Psychology and Cognitive Sciences Psychology Psychometric properties Short form Validation IAT Psychology and Cognitive Sciences Psychology Psychometric properties Short form Validation ab: Using a valid and reliable scale to measure problems associated with excessive internet use is a key element of research on internet addiction (IA). The main goal of the current study was to develop a brief version of the Internet Addiction Test (IAT), the most widely used measure for assessing IA. In Study 1 (N = 463), we combined strict analytic techniques for item reduction with an evaluation of item content, and we compared several CFA and ESEM Models. In Study 2 (N = 374), we applied a Latent Variable Model (LMV) to examine the associations between our proposed short scale and some related variables. Our findings suggested a 7-item version (named IAT-7), with an ESEM structure and two domain-specific factors (F1: Interpersonal, Emotional and Obsessive Conflict; F2: Online Time Management). The IAT-7 showed excellent fit-indices [χ = 13.373; df = 8; CFI =.994; TLI =.983; RMSEA =.030 (.000–.073); SRMR =.016; AIC = 9,276.944; BIC = 9,388.662; aBIC = 9,302.971] and an adequate level of internal consistency (alpha and omega >.752). Interpersonal, Emotional and Obsessive Conflict mainly predicted loneliness and depression, whereas Online Time Management was primarily associated with stress, followed by depression. The IAT-7 shows promising psychometric properties and could be used as a screening tool for evaluating IA. Its small number of items makes it more attractive when a large battery of assessment scales is used. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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