1. Testing a bifactor model and measurement invariance of the cognitive avoidance questionnaire in Chinese adolescents
- Author
-
Xie, Shan-Shan, Shen, Sai-Li, Xiong, Xia-Xin, Chen, Yan-Ping, Shen, Yi-Lin, Lin, Nan, and Lin, Rong-Mao
- Subjects
Teenagers -- Testing -- Psychological aspects ,Youth -- Testing -- Psychological aspects ,Psychological tests -- Evaluation ,Avoidance (Psychology) -- Evaluation ,Psychology and mental health - Abstract
The Cognitive Avoidance Questionnaire (CAQ) is a self-reported measure relating to multidimensional cognitive avoidance. Prior research has supported its correlated five-factor model, however, the tenability of a bifactor model and its measurement invariance have not been examined. With a Chinese adolescent sample (N = 734), a bifactor model of the CAQ, comprising a general cognitive avoidance and five orthogonal urge-related domain-specific factors, was supported. Multiple-group confirmatory factor analysis showed strict measurement invariance (including configural, metric, scalar, and error invariances) across genders but only configural invariance across grades. Predominately the general factor was positively correlated with worry, depression, anxiety, and stress. This study suggests that general and distinct factors should be considered to properly contextualize cognitive avoidance in adolescents., Author(s): Shan-Shan Xie [sup.1] , Sai-Li Shen [sup.2] [sup.3] , Xia-Xin Xiong [sup.3] , Yan-Ping Chen [sup.3] , Yi-Lin Shen [sup.3] , Nan Lin [sup.3] , Rong-Mao Lin [sup.3] Author [...]
- Published
- 2023
- Full Text
- View/download PDF