Confirmatory factor analysis of the Beck Anxiety Inventory among earthquake survivors in China

• Jing An

  Changzhou Institute of Technology and The University of Auckland

• Minjiang Yu

  Soochow University , Soochow University

• Mingwang Cheng

  Tongji University

• Guoshen Chen

  Shandong Agricultural University

• Guoqiang  Rui

  Soochow University , Soochow University

• Tan Li

  Changzhou Institute of Technology

• Chunyu Yang

  Changzhou Institute of Technology

We explored the factor structure of the Beck Anxiety Inventory (BAI) with a sample of 523 people aged 21–44 years from 4 counties and districts in the city of Ya’an, China, who had survived the 2013 earthquake there. Exploratory factor analysis was used to identify the potential factor structure of the BAI and confirmatory factor analysis was used to evaluate the goodness of fit of the factor structure model. The results indicated that the BAI had satisfactory reliability and validity but that the factor structure was unstable; therefore, it was difficult to name the 4 extracted factors. However, in general, our results showed that the BAI is an appropriate instrument to use for detecting the anxiety level of earthquake survivors in China.

1. Jing An, Changzhou Institute of Technology and The University of Auckland
   School of Economics and Management, and Business School
2. Minjiang Yu, Soochow University, Soochow University
   Collaborative Innovation Center for New Urbanization and Social Governance of Jiangsu Province, School of Politics and Public Administration
3. Mingwang Cheng, Tongji University
   School of Economics and Management
4. Guoshen Chen, Shandong Agricultural University
   Department of Urban Management
5. Guoqiang  Rui, Soochow University, Soochow University
   Collaborative Innovation Center for New Urbanization and Social Governance of Jiangsu Province, School of Politics and Public Administration
6. Tan Li, Changzhou Institute of Technology

   School of Economics and Management

7. Chunyu Yang, Changzhou Institute of Technology
   School of Economics and Management

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