Article ID Journal Published Year Pages File Type
4937661 Computers in Human Behavior 2017 13 Pages PDF
Abstract
The aim of the study was to assess the psychometric properties of the 20-item Internet Addiction Test (IAT) among a sample of 659 Italian university students enrolled in several degree courses in the same university. The data collected was subjected to exploratory and confirmatory factor analyses by using robust statistical models. Results from exploratory factorial analysis suggested removing items 4 and 7 of the IAT. The final 18-items of the IAT were covered by a two-factor model which demonstrated good psychometric properties, and fits well with the data. Pearson's correlation results indicated that the two-factor model satisfied the criteria of convergent and divergent validity. The present study confirms that the IAT is a valid and reliable instrument for measuring Internet addiction. At the same time, the study suggests that some items of the IAT needs to be improved. Practical implications for further studies are provided as a conclusion.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Authors
,