Trust to test translation practices
A case study of Shanghai, China
Trust is important in public health communication to culturally and linguistically diverse (CALD) communities
during pandemics. This empirical research, using quantitative data from 107 foreign nationals at a university in Shanghai, probes
into how trust varied in official translation services (OTS) and non-official translation services (NOTS) during COVID-19.
Statistical analysis was carried out by IBM SPSS Statistics 26 and it was found that (1) NOTS which are more frequently used are
more trusted compared with OTS; (2) NOTS are uncorrelated with demographics while OTS are correlated with demographics, among
which education and trust in OTS suggest a linear positive relationship (Sig. = 0.003, β = 0.467), whereas age
and trust in OTS suggest a linear negative relationship (Sig. = 0.027, β = −0.348); (3) there is a positive
relationship between the frequency of using services and trust, i.e., higher frequency implies higher trust. The findings of this
case study can have implications for policy makers and the representatives of CALD communities.
Article outline
- 1.Introduction
- 2.Methodology
- 2.1Definition of terms
- 2.2Sample
- 2.3Ethical considerations
- 3.Data analysis and results
- 3.1Reliability and validity tests
- 3.2Demographic statistics
- 3.3Information channels
- 3.4Frequency of language barriers
- 3.5Frequency of using translation to solve language barriers
- 3.6Trust analysis in different translation services
- 3.7Results and analysis
- 4.Linear regression
- 4.1Multiple linear regression
- 4.2Multiple regression model
- 4.3Test of multiple regression model
- 5.Conclusion and implications
- Acknowledgements
-
References