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To challenge the commonly made assumption in cross-national survey projects that close translation yields more comparable data than adaptation, we implemented a translation experiment in the CROss-National Online Survey Panel. The English source questionnaire was split into three batches of 20 items each and was translated by three translation teams into Estonian and three teams into Slovene. The teams received specific instructions on how to translate each batch (either closely or adaptively) so that, by design, the teams translated two batches following one approach and one following the other approach. Respondents in the two countries (Estonia and Slovenia) were randomly assigned to three distinct questionnaire versions based on the same source questionnaire, each consisting of translations by all three teams and including close and adaptive translations. We developed an analytical framework to assess the translation potential of the source items (i.e., all theoretically possible translations of a specific item) and the actual translation scores (i.e., the degree of closeness vs. adaptiveness of a specific translation). We show that some items are more sensitive to the wording (small linguistic changes result in a different response behavior) while others are more robust (the meaning of the concept is retained despite linguistic changes).

Advance translation is a method of source questionnaire development for multilingual survey projects to enhance translatability and (inter)cultural portability. The aim is to minimize translation issues in the final translation stage. I empirically tested the results of a previously conducted advance translation in a think-aloud study and analyzed the utterances made in a mixed-method approach, calculating chi-square statistics and cross-checking these by observational notes of the think-aloud sessions. My study confirms the usefulness of advance translation in making source items better to translate, thus improving final translation quality. It appears to be particularly useful for comprehensibility issues of the source text, irrespective of the target language. I recommend that advance translations be carried out into all languages and cultures into which the final source questionnaire is to be translated. This will improve source questionnaire translatability and, thus, final translation and overall cross-cultural data quality.

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