Psychometric Validation of the Internet Disorder Scale–Short Form in an Italian Adult Sample
Bibliographic Data
| ID | 15440938 |
|---|---|
| Authors | Paolo Soraci (0000-0003-0456-7891), Ambra Ferrari (0000-0003-1946-3884, University of Milano-Bicocca), Enrico Bonanno (0000-0002-8604-456X, Luxembourg Institute of Science and Technology), De Pace Rosanna, Emanuela Repice, Mark D Griffiths (0000-0001-8880-6524, Nottingham Trent University, corresponding author) |
| Year | 2020 |
| Volume | 20 |
| Issue | 5 |
| Pages | 2571-2586 |
| Publication date | 2020-04-27 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Mental Health and Addiction (JOURNAL) |
| Journal identifiers | ISSN: 1557-1874 • E-ISSN: 1557-1882 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s11469-020-00279-z |
| OpenAlex | W3017774065 |
| Language | EN |
| Citations received | 1 |
| References cited | 29 |
Research examining online addictions has conceptualized generalized internet addiction as an “umbrella” term comprising the addictive use of various online activities such as gambling, gaming, pornograpgy consumption shopping, and social media use. This has led to the development of many different psychometric instruments to assess specific forms of online addiction as well as ones that assess disordered internet use more generally. One such scale is the nine-item short-form Internet Disorder Scale (IDS9-SF) based on the DSM-5 criteria for internet gaming disorder. Although the IDS9-SF has been validated in a number of languages, it has not been validated into Italian. Therefore, the present study validated the IDS9-SF utilizing an Italian-speaking sample ( N = 1477). Data were initially collected from 963 participants and the sample was equally split to carry out exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) on the Italian IDS9-SF. Results showed that two items were problematic (i.e., in terms of asymmetry and kurtosis) so a slightly modified Italian IDS9-SF was developed (modifying the two items). Data were then collected from a further 514 participants to test the modified Italian IDS9-SF. The second sample was again equally split, and EFA and CFA were carried out. The modified Italian IDS9-SF was found to be a psychometrically robust measure for assessing the risk of internet disorder among Italian adults
Addiction · Addictive behavior · Confirmatory factor analysis · DSM-5 · Exploratory factor analysis · Health psychology · Internet addiction disorder · Psychiatry · Psychometrics · Public health · Sample (material · Scale (ratio · Statistics · Structural equation modeling · The Internet · World Wide Web · Child Development and Digital Technology · Clinical Psychology · Computer Science · Impact of Technology on Adolescents · Medicine · Psychology · Social Media and Politics
Multivariate data analysis
Technological addictions
Factor
Academic stress and Internet addiction from general strain theory framework
Validation of the Internet Gaming Disorder Scale – Short-Form (IGDS9-SF) in an Italian-speaking sample
Issues for DSM-V
Reporting Analyses of Covariance Structures
A comparison of some methodologies for the factor analysis of non‐normal Likert variables
Exploratory Factor Analysis
Statistical notes for clinical researchers
A ‘components’ model of addiction within a biopsychosocial framework
An Index of Factorial Simplicity
Confirmatory factor analysis with ordinal data
Guidelines for the Process of Cross-Cultural Adaptation of Self-Report Measures
Testing Structural Equation Models
A cognitive-behavioral model of pathological Internet use
Factors Associated with Internet Addiction among Adolescents
Internet Addiction
Measuring DSM-5 internet gaming disorder
Psychological Characteristics of Compulsive Internet Use
Social networking addiction, attachment style, and validation of the Italian version of the Bergen Social Media Addiction Scale
Problematic Internet Use and Problematic Online Gaming Are Not the Same
A Study Of A Measure Of Sampling Adequacy For Factor-Analytic Correlation Matrices
Sociable People Beware? Investigating Smartphone Versus Nonsmartphone Dependency Symptoms Among Young Singaporeans
Relationships of personality and lifestyle with mobile phone dependence among female nursing students
Construct validity in psychological tests
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |