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

作者：

Highlights：

• Previously proposed structural models of the IAT are not optimal for adolescents.

• A bifactor model with a general factor and two unique sub-dimensions fits best.

• Presence of the dominant global IA factor supports the use of the total-scale score.

• Scores on the two subscales add significant incremental variance to the assessment.

• The two subscales are associated with unique gender and problem gambling profiles.

摘要

•Previously proposed structural models of the IAT are not optimal for adolescents.•A bifactor model with a general factor and two unique sub-dimensions fits best.•Presence of the dominant global IA factor supports the use of the total-scale score.•Scores on the two subscales add significant incremental variance to the assessment.•The two subscales are associated with unique gender and problem gambling profiles.

论文关键词：Internet addiction,Young Internet Addiction Test,Adolescents,Factor analysis,Bifactor model

论文评审过程：Available online 7 June 2013.

论文官网地址：https://doi.org/10.1016/j.chb.2013.05.020