Implementing a New Tool to Predict the Risk of Intimate Partner Violence in Rural China

Fengsu Hou, Catherine Cerulli, Hugh F. Crean, Marsha N. Wittink, Eric D. Caine, Ko Ling Chan, Peiyuan Qiu

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Most of current scales for assessing intimate partner violence (IPV) were developed for Western populations. The Chinese Risk Assessment Tool for Victims (CRAT-V) was a new scale evaluating the risk of IPV, which was developed based on Chinese populations in the context of Chinese culture. To determine whether the CRAT-V could add further value to research involving IPV and violence against women in rural China, we sought to implement the CRAT-V and to explore its factor structure among a rural population in the mainland of China. This study included women from rural Sichuan Province of China, who aged 16 years and older, had been living locally for at least 2 years, and reported that they were married or in a relationship in the preceding year. A total of 670 participants completed the CRAT-V during the field survey. We utilized exploratory factor analysis to validate the fact structure of CRAT-V. The Cronbach’s alpha of the CRAT-V was 0.90, indicating good reliability. The CRAT-V reported that 45.07% (302/670) of participants were in risk of IPV, and the risk was higher in women who were 16 to 29 years old, having 7 years and higher education, and living in stem families. The CRAT-V fit a 5-factor model including healthy relationship, jealous feeling, jealous reaction, stressful living condition, and sexual abuse. Our findings provided support for using the CRAT-V as a culturally sensitive measure to predict the risk of experiencing IPV in China, and lend insights into factors that may contribute to timely IPV prevention and intervention.

Original languageEnglish
Pages (from-to)1588-1606
Number of pages19
JournalJournal of Interpersonal Violence
Issue number3-4
Publication statusPublished - 2021 Feb

Bibliographical note

Funding Information:
We acknowledge the important input of Fang Wang, Ying Wang, Fei Feng, and Junjie Hua et al. from Sichuan University, Yinghui Zhang and Mei Ma from Guangyuan Mental Health Center, Shulin Chen from Zhejiang University, and Jennifer Thompson Stone from University of Rochester. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by National Institutes of Health Grants D43 TW009101 and D43 TW009101-01S1 (E.D. Caine, PI).

Publisher Copyright:
© The Author(s) 2017.

All Science Journal Classification (ASJC) codes

  • Clinical Psychology
  • Applied Psychology


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