Psychometric Analysis of Young's Internet Addiction Test among High School Students of North India.
Background: Internet addiction is a serious problem that can negatively impact both the physical and mental health of adolescents. The Internet Addiction Test (IAT) is the most commonly used instrument to screen internet addiction worldwide. The study investigated the psychometric properties of the...
| Publicado en: | Indian Journal of Community Medicine Vol. 50; no. 4; pp. 615 - 621 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wolters Kluwer India Pvt Ltd
Jul/Aug2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=186417137&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186417137 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09700218 1CQJ jtl: Indian Journal of Community Medicine issn: 09700218 maglogo: N pubinfo: dt: Jul/Aug2025 vid: 50 iid: 4 pid: 16919 pub: Wolters Kluwer India Pvt Ltd artinfo: ui: 186417137 186417137 186417137 10.4103/ijcm.ijcm_281_23 186417137 ppf: 615 ppct: 6 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Psychometric Analysis of Young's Internet Addiction Test among High School Students of North India. aug: au: Karol, Sunidhi Thakare, Meenal M. Giri, Purushottam A. Karol, Mohit Sharma, Minnat Dhiman, Rishab affil: Department of Community and Family Medicine, All India Institute of Medical Sciences, Bilaspur, Himachal Pradesh, India sug: subj: Internet Addiction Evaluation Internet Addiction Evaluation Questionnaires Psychometrics Evaluation Instrument Validation Instrument Adaptation Students, High School Psychosocial Factors Human Male Female Adolescence Young Adult India Validation Studies Descriptive Research Cross Sectional Studies Exploratory Research Factor Analysis Reliability and Validity Coefficient alpha Multivariate Analysis of Variance Logistic Regression Chi Square Test Descriptive Statistics Scales Screen Time Adolescent: 13-18 years Male Female ab: Background: Internet addiction is a serious problem that can negatively impact both the physical and mental health of adolescents. The Internet Addiction Test (IAT) is the most commonly used instrument to screen internet addiction worldwide. The study investigated the psychometric properties of the Hindi version of young's IAT. School-based, descriptive, cross-sectional study design. Methods and Materials: The Hindi version of the IAT questionnaire was used to estimate internet addiction. Factor structure was analyzed by exploratory (EFA) and confirmatory factor (CFA) analyses, whereas reliability was measured with Cronbach's alpha coefficient. EFA, CFA, MANOVA, and logistic regression model. Results: Factor analysis revealed that the Hindi version of IAT consisted of a two-factor model, and had good validity (χ2 P < 0.000; RMSEA = 0.039; CFI = 0.969; SRMR = 0.031). Cronbach's alpha score was 0.92. A significant association was also observed between the level of internet addiction with the duration of internet use per day (P < 0.05). Conclusions: The Hindi version of IAT provides good validity and reliability in a two-factor model. Therefore, it can be utilized as a tool for screening internet addiction in the Hindi-speaking population of India. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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