Use of statistical methods in translation and interpreting research

A longitudinal quantitative analysis of eleven peer-reviewed journals (2000–2020)

Dados Bibliográficos

ID21584071
AutoresChao Han (0009-0007-9698-759X, Xiamen University), Xiaolei Lu (0000-0002-6929-4110, Xiamen University), Peixin Zhang (0000-0002-2258-0451, Xiamen University)
Ano2023
Volume35
Fascículo4
Páginas483-513
Data de publicação2023-11-10
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoTarget International Journal of Translation Studies (JOURNAL)
Identificadores do periódicoISSN: 0924-1884 • E-ISSN: 1569-9986
EditoraJohn Benjamins Publishing Company (PUBLISHER • NL)
DOI10.1075/target.21132.han
OpenAlexW4377825208
IdiomaEN
Citações recebidas4
Referências citadas33

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

Data science · Pearson product-moment correlation coefficient · Statistical analysis · Statistical hypothesis testing · Statistical inference · Statistics · Computer Science · Interpreting and Communication in Healthcare · Mathematics · Natural Language Processing Techniques · Psychology · Translation Studies and Practices