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Back-Translation for Cross-Cultural Research

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TLDR
The authors investigated factors that affect translation quality and how equivalence between source and target versions can be evaluated through an analysis of variance design, and concluded that translation quality can be predicted, and that a functionally equivalent translation can be demonstrated when responses to the original and target translations are studied.
Abstract
Two aspects of translation were investigated: (1) factors that affect translation quality, and (2) how equivalence between source and target versions can be evaluated. The variables of language, content, and difficulty were studied through an analysis of variance design. Ninety-four bilinguals from the University of Guam, representing ten languages, translated or back-translated six essays incorporating three content areas and two levels of difficulty. The five criteria for equivalence were based on comparisons of meaning or predictions of similar responses to original or translated versions. The factors of content, difficulty, language and content-language interaction were significant, and the five equivalence criteria proved workable. Conclusions are that translation quality can be predicted, and that a functionally equivalent translation can be demonstrated when responses to the original and target versions are studied.

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Culture, control, and coping: New perspectives on social support

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A Literature Review of the Critical Elements in Translation Theory

TL;DR: A review of some of the classic literature on translation is provided and the work of Brislin is detailed as a foundation for testing the translation equivalence of quantitative measures.
References
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Book

Statistical Principles in Experimental Design

TL;DR: In this article, the authors introduce the principles of estimation and inference: means and variance, means and variations, and means and variance of estimators and inferors, and the analysis of factorial experiments having repeated measures on the same element.
Journal ArticleDOI

Statistical Principles in Experimental Design

TL;DR: This chapter discusses design and analysis of single-Factor Experiments: Completely Randomized Design and Factorial Experiments in which Some of the Interactions are Confounded.
Book

Toward a science of translating

TL;DR: Toward a Science of Translating as mentioned in this paper describes the major components of translating; setting the translating into the context of historical changes in principles and procedures over the last two centuries.
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