Published online by Cambridge University Press: 04 November 2025
Employment testing is a key tool for selection and placement in China’s public and private sectors. Rooted in a tradition of rigorous exams and shaped by modern workforce demands, such testing significantly influences access to job opportunities. Yet concerns about bias and fairness persist, driven by cultural norms, legal structures, and changes in the labor market. This chapter examines key issues related to bias and fairness in Chinese employment testing, exploring historical and cultural contexts, legal regulations, professional standards, and enforcement mechanisms. It also addresses measurement bias, challenges to diversity, and the growing influence of machine learning and advanced psychometrics in assessment design. By analyzing these dimensions, the chapter offers a comprehensive view of current challenges and highlights opportunities to improve equity in hiring practices. The discussion provides insights for employers, policymakers, and researchers navigating the complexities of employment testing in China.
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