Neuroticism, a personality trait linked to emotional instability and negative emotions, is associated with increased anxiety, depression, and poor mental health outcomes, particularly in individuals with psychiatric disorders. However, existing neuroticism scales often have too many items, are not tailored for psychiatric populations, and lack cultural adaptation for Chinese contexts. We aimed to develop a brief neuroticism scale with adequate reliability and validity for the Chinese population, including individuals with psychiatric disorders. The 14-item scale was developed based on the five-factor model and Eysenck’s personality theory. The scale, in the form of a questionnaire, was distributed to college students from Southeast University and patients from the Affiliated Zhongda Hospital of Southeast University. A total of 554 participants were recruited, and demographic information, the neurotic subscale of the Neuroticism Extraversion Openness Five-Factor Inventory (NEO-FFI), Patient Health Questionnaire (PHQ-9), and generalized anxiety disorder (GAD-7) were collected along with the neuroticism scale. Correlation analysis, Cronbach’s alpha, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA) were conducted to test and revise the scale. EFA indicated that the neuroticism scale consisted of four factors: Low self-esteem, excessive emotional sensitivity, unstable mood, and excessive worry. The Cronbach’s alpha was 0.926. CFA suggested a good fit of the scale structure (χ2/df =2.506, root mean square error of approximation =0.039, Tucker–Lewis index =0.947, comparative fit index =0.959, and standardized root mean square residual =0.032). The total scores of the neuroticism scale were positively related to those of PHQ-9, GAD-7, and NEO-FFI. The results indicate that the neuroticism scale exhibited a stable four-dimensional structure with good reliability and validity in the Chinese population. It is useful and time-saving for assessing neuroticism in individuals with psychiatric disorders.
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