CCTE-A Database of Chinese COVID-19 TErms

Autor: Xu, You
Rok vydání: 2023
Předmět:
DOI: 10.17605/osf.io/mqp45
Popis: [Objective] To establish a multi-dimensional and standardized lexical database of COVID-19-related terms and words. The database may have facilitated COVID-19-related research in domains such as Psychology, Psychiatry, Neuroscience, etc. [Methods] This database referred to the established methods of the emotional lexical database at home and abroad, and used the dot-detection task and words in the database as experimental materials to test the attention bias of the subjects suspected of having COVID-19 phobia, so as to test the validity of the database. [Results] 196 COVID-19-related words and 99 neutral words were included in the word database. Then, we classified and evaluated the words through six dimensions, and established a standardized database of Chinese COVID-19-related terms. The words have good reliability and internal consistency. In addition, the validity was tested through the dot-detection task. Subjects with COVID-19 fear and those without COVID-19 fear showed a significant attentional bias toward COVID-19-related words [Limitations] The initial sample size is small and the database application needs further development. [Conclusions] The database of Chinese COVID-19 terms has good reliability, internal consistency, and reliability, and can be used as materials related to COVID-19-related research in the future.
Databáze: OpenAIRE