Use of statistical methods in translation and interpreting research
A longitudinal quantitative analysis of eleven peer-reviewed journals (2000–2020)
The study reported on in the article examines the patterns and trends of statistical analysis in translation and
interpreting (T&I) research, based on a longitudinal quantitative analysis of more than 3300 research articles sampled from
eleven leading T&I journals (2000–2020). This evidence-based review is the first study to provide a systematic mapping of
statistical methods used by T&I researchers. Our analyses suggest that (a) about 40% of the articles use statistics, and the
use of statistics has been increasing over time; (b) the most frequently used inferential statistical techniques are the
t-test, Pearson’s correlation, and chi-squared test; and (c) although the use of statistical methods has
become increasingly diversified, about 90% of the methods used are basic-level statistics. We discuss these findings in relation
to statistical teaching and learning for relevant stakeholders, especially T&I researchers.
Article outline
- 1.Introduction
- 2.Categorization schemes for statistical methods
- 3.Statistics in T&I Studies
- 4.Research questions
- 5.Method
- 5.1T&I journals
- 5.2Article selection
- 5.3Coding scheme
- 5.4Coding procedure
- 5.5Data analysis
- 6.Results
- 6.1The extent of use of statistical methods
- 6.2Frequency of statistical use
- 6.3Diversity of statistical use
- 6.4The patterns of statistical use
- 6.5Statistical methods labeled ‘Others’
- 7.Discussion
- 8.Conclusion
- Notes
-
References