Internet Addiction and the Psychometric Properties of the Nine-item Internet Disorder Scale–Short Form: An Application of Rasch Analysis
Background: The aim of the present study was to determine the prevalence of disordered internet use amongadolescent university students and its association with various health complaints and behaviours, and mostimportantly to examine the psychometric properties of 9-item Internet Disorder Scale-Shor...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Kerman University of Medical Sciences
2019-12-01
|
| Series: | Addiction and Health |
| Subjects: | |
| Online Access: | https://ahj.kmu.ac.ir/article_89555_0d1b7ea0165042ad18e6bfb0b7711d28.pdf |
| _version_ | 1797681928754692096 |
|---|---|
| author | Abdulbari Bener Mark D Griffiths Nuket Guler Baysoy Funda Catan Eray Yurtseven |
| author_facet | Abdulbari Bener Mark D Griffiths Nuket Guler Baysoy Funda Catan Eray Yurtseven |
| author_sort | Abdulbari Bener |
| collection | DOAJ |
| description | Background: The aim of the present study was to determine the prevalence of disordered internet use amongadolescent university students and its association with various health complaints and behaviours, and mostimportantly to examine the psychometric properties of 9-item Internet Disorder Scale-Short Form (IDS9-SF)using factor analyses and Rasch analysis.Methods: A total of 1988 university students aged 18 to 25 years were selected via a multi-stage stratifiedrandom sampling technique among university students in Istanbul, Turkey (September 2017 to February2018). Data collected included socio-demographics, lifestyle and dietary habits, and the 9-item IDS9-SF.Statistical analysis included descriptive statistics, multivariate analyses, factor analyses, path analysis, andRasch analysis.Findings: Using confirmatory factor analysis (CFA), the study investigated the latent structure of the IDS9-SFinstrument and results supported its reliability and validity. The prevalence of disordered internet use was18.3% in the sample. There were significant differences between those who had disordered internet use andthose who did not in gender, family income, school performance, number of bedrooms at home, and numberof people living at home, as well as internet use duration. Using multivariate regression analysis, keypredictors of disordered internet use included (among others): gender, body mass index (BMI), householdincome, number of people living at home, having a computer at home, internet facilities, duration of internetuse, sleeping hours, frequency of eating fast food, watching television, headache, hurting eyes, tired eyes, andhearing problems. Rash analysis demonstrated that four of the nine items (2, 3, 6, and 7) were more difficultfor individuals to endorse compared to other items.Conclusion: Problems arising from excessive internet use were apparent among the study sample and theIDS9-SF is a valid and reliable measure for assessing disordered internet use among Turkish adolescentpopulation |
| first_indexed | 2024-03-11T23:52:07Z |
| format | Article |
| id | doaj.art-6660b636a3264731879027ba97e21cda |
| institution | Directory Open Access Journal |
| issn | 2008-4633 2008-8469 |
| language | English |
| last_indexed | 2024-03-11T23:52:07Z |
| publishDate | 2019-12-01 |
| publisher | Kerman University of Medical Sciences |
| record_format | Article |
| series | Addiction and Health |
| spelling | doaj.art-6660b636a3264731879027ba97e21cda2023-09-19T06:46:12ZengKerman University of Medical SciencesAddiction and Health2008-46332008-84692019-12-01114234242org/10.22122/ahj.v11i4.24789555Internet Addiction and the Psychometric Properties of the Nine-item Internet Disorder Scale–Short Form: An Application of Rasch AnalysisAbdulbari Bener0Mark D Griffiths1Nuket Guler Baysoy2Funda Catan3Eray Yurtseven4Department of Biostatistics and Medical Informatics, Cerrahpasa Faculty of Medicine, Istanbul University, Istanbul, Turkey AND Department of Evidence for Population Health Unit, School of Epidemiology and Health Sciences, University of Manchester, Manchester, UKDepartment of Psychology, School of Social Sciences, Nottingham Trent University, Nottingham, UKDepartment of Public Health, Faculty of Medicine, Istanbul Medipol University, Istanbul, TurkeyDepartment of Biostatistics and Medical Informatics, Cerrahpasa Faculty of Medicine, Istanbul University, Istanbul, Turkey University of Kastamonu, Kastamonu, TurkeyDepartment of Public Health, Capa Faculty of Medicine, Istanbul University, Istanbul, TurkeyBackground: The aim of the present study was to determine the prevalence of disordered internet use amongadolescent university students and its association with various health complaints and behaviours, and mostimportantly to examine the psychometric properties of 9-item Internet Disorder Scale-Short Form (IDS9-SF)using factor analyses and Rasch analysis.Methods: A total of 1988 university students aged 18 to 25 years were selected via a multi-stage stratifiedrandom sampling technique among university students in Istanbul, Turkey (September 2017 to February2018). Data collected included socio-demographics, lifestyle and dietary habits, and the 9-item IDS9-SF.Statistical analysis included descriptive statistics, multivariate analyses, factor analyses, path analysis, andRasch analysis.Findings: Using confirmatory factor analysis (CFA), the study investigated the latent structure of the IDS9-SFinstrument and results supported its reliability and validity. The prevalence of disordered internet use was18.3% in the sample. There were significant differences between those who had disordered internet use andthose who did not in gender, family income, school performance, number of bedrooms at home, and numberof people living at home, as well as internet use duration. Using multivariate regression analysis, keypredictors of disordered internet use included (among others): gender, body mass index (BMI), householdincome, number of people living at home, having a computer at home, internet facilities, duration of internetuse, sleeping hours, frequency of eating fast food, watching television, headache, hurting eyes, tired eyes, andhearing problems. Rash analysis demonstrated that four of the nine items (2, 3, 6, and 7) were more difficultfor individuals to endorse compared to other items.Conclusion: Problems arising from excessive internet use were apparent among the study sample and theIDS9-SF is a valid and reliable measure for assessing disordered internet use among Turkish adolescentpopulationhttps://ahj.kmu.ac.ir/article_89555_0d1b7ea0165042ad18e6bfb0b7711d28.pdfinternetaddictionpsychometricsdisordersturkey |
| spellingShingle | Abdulbari Bener Mark D Griffiths Nuket Guler Baysoy Funda Catan Eray Yurtseven Internet Addiction and the Psychometric Properties of the Nine-item Internet Disorder Scale–Short Form: An Application of Rasch Analysis Addiction and Health internet addiction psychometrics disorders turkey |
| title | Internet Addiction and the Psychometric Properties of the Nine-item Internet Disorder Scale–Short Form: An Application of Rasch Analysis |
| title_full | Internet Addiction and the Psychometric Properties of the Nine-item Internet Disorder Scale–Short Form: An Application of Rasch Analysis |
| title_fullStr | Internet Addiction and the Psychometric Properties of the Nine-item Internet Disorder Scale–Short Form: An Application of Rasch Analysis |
| title_full_unstemmed | Internet Addiction and the Psychometric Properties of the Nine-item Internet Disorder Scale–Short Form: An Application of Rasch Analysis |
| title_short | Internet Addiction and the Psychometric Properties of the Nine-item Internet Disorder Scale–Short Form: An Application of Rasch Analysis |
| title_sort | internet addiction and the psychometric properties of the nine item internet disorder scale short form an application of rasch analysis |
| topic | internet addiction psychometrics disorders turkey |
| url | https://ahj.kmu.ac.ir/article_89555_0d1b7ea0165042ad18e6bfb0b7711d28.pdf |
| work_keys_str_mv | AT abdulbaribener internetaddictionandthepsychometricpropertiesofthenineiteminternetdisorderscaleshortformanapplicationofraschanalysis AT markdgriffiths internetaddictionandthepsychometricpropertiesofthenineiteminternetdisorderscaleshortformanapplicationofraschanalysis AT nuketgulerbaysoy internetaddictionandthepsychometricpropertiesofthenineiteminternetdisorderscaleshortformanapplicationofraschanalysis AT fundacatan internetaddictionandthepsychometricpropertiesofthenineiteminternetdisorderscaleshortformanapplicationofraschanalysis AT erayyurtseven internetaddictionandthepsychometricpropertiesofthenineiteminternetdisorderscaleshortformanapplicationofraschanalysis |