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Adjusting Bilingual Ratings By Retest Reliability Improves Estimation Of Translation Quality, Dustin Wood, Lin Qiu, Jiahui Lu, Han Lin, William Tov

Research Collection School of Social Sciences

The quality of cross-language scale translations is often explored by having bilingual participants complete the scale in both languages and then correlating their scores. However, low cross-language correlations can be observed due to score unreliability rather than due to poor scale translation. McCrae, Yik, Trapnell, Bond, and Paulhus suggested that a better indicator of translation quality can be formed by dividing the raw cross-language correlation by the same-language retest correlations over a similar measurement interval. Here, we illustrate how this method can be extended to evaluate the translation quality of individual items. We translated the English version of the Inventory …