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Re-Developing the Adversity Response Profile for Chinese University Students

Author

Listed:
  • Xiang Wang

    (Department of Curriculum and Instruction, The Education University of Hong Kong, Tai Po, Hong Kong, China)

  • Zi Yan

    (Department of Curriculum and Instruction, The Education University of Hong Kong, Tai Po, Hong Kong, China)

  • Yichao Huang

    (Department of Humanities and Foreign Languages, China Jiliang University, Hangzhou 310018, China)

  • Anqi Tang

    (Department of Curriculum and Instruction, The Education University of Hong Kong, Tai Po, Hong Kong, China
    International Affairs Office, Huangshan University, Huangshan City 245000, China)

  • Junjun Chen

    (Department of Education Policy and Leadership, The Education University of Hong Kong, Tai Po, Hong Kong, China)

Abstract

Adversity response is fundamental to dealing with adversity. This paper reports the re-development and subsequent psychometric evaluation of the Adversity Response Profile for Chinese University Students (ARP-CUS). The data were collected from a Chinese university student sample ( n = 474). Factor analysis and Rasch analysis were used to examine the psychometric properties of the ARP-CUS. Exploratory factor analysis revealed a six-factor model; then confirmatory factor analysis supported a five-factor solution. Rasch analysis provided further evidence of the psychometric quality of the instrument in terms of dimensionality, rating scale effectiveness, and item fit statistics for those six dimensions. The final version of the ARP-CUS contains 24 items across five subscales for assessing students’ responses to adversity, including control, attribution, reach, endurance, and transcendence. Overall, ARP-CUS demonstrates satisfactory psychometric properties for quantifying the adversity quotient of Chinese university students.

Suggested Citation

  • Xiang Wang & Zi Yan & Yichao Huang & Anqi Tang & Junjun Chen, 2022. "Re-Developing the Adversity Response Profile for Chinese University Students," IJERPH, MDPI, vol. 19(11), pages 1-14, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6389-:d:823037
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    References listed on IDEAS

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    1. Geoff Masters, 1982. "A rasch model for partial credit scoring," Psychometrika, Springer;The Psychometric Society, vol. 47(2), pages 149-174, June.
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    1. Xiang Wang & Wei Liang & Jingdong Liu & Chun-Qing Zhang & Yanping Duan & Gangyan Si & Danran Bu & Daliang Zhao, 2022. "Further Examination of the Psychometric Properties of the Multicomponent Mental Health Literacy Scale: Evidence from Chinese Elite Athletes," IJERPH, MDPI, vol. 19(19), pages 1-11, October.

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