Examining the structure of the Internet Addiction Test in adolescents: A bifactor approach

Young’s (1998a) Internet Addiction Test (IAT) is one of the most commonly used measures of problematic Internet use. Although the instrument is being increasingly applied in research with adolescents, its measurement structure has not been systematically evaluated with pre-adult respondents. Because the results of previous factor-analytic studies with adults have been highly inconsistent, the present study applied both the traditional (simple-structure) and novel (bifactor) modeling approaches to derive the most optimal measurement structure of the IAT for adolescents. The results of exploratory and confirmatory analyses in a large Canadian sample of high-school students (N = 1948) converged on a bifactor model with a dominant global IA factor and two distinct sub-dimensions, each associated with a unique gender and problem behaviour profile. The discussion focuses on the implications of this bifactor structure for scale scoring and substantive theory on the nature and sources of individual differences in Internet addiction. 2013 Elsevier Ltd. All rights reserved.