2026-04-30T10:10:45Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

143518a9b9a6722f7fd6dd4b2e0d31683efcf06839a4c3b38eff0e1e33e20f69 2026-04-06T03:03:45Z language:enopenaire_data

DDI study level documentation for study 10.7802/3000 DFG-Project TransBack: Phase 2 (Translation experiment) and Phase 3 (Survey data collection) DFG-Project TransBack: Phase 2 (Translation experiment) and Phase 3 (Survey data collection) DFG-Project TransBack: Phase 2 (Translation experiment) and Phase 3 (Survey data collection) 10.7802/300010.7802/300010.7802/300010.7802/3000 Behr, Dorothée Behr, Dorothée Tsai, Chia-Jung Tsai, Chia-Jung Radinger, Anke Radinger, Anke Efu Nkong, Ulrike Efu Nkong, Ulrike [DFG] GESIS Data Archive for the Social SciencesGESIS Datenarchiv für Sozialwissenschaften ExperimentFragebogenÜbersetzungUmfrageforschungMethodikinternationaler Vergleichinterkultureller VergleichExperimentFragebogenÜbersetzungUmfrageforschungMethodikinternationaler Vergleichinterkultureller Vergleich The overall DFG-project aimed to enhance questionnaire translation methodology in cross-national and cross-cultural survey research. Toward this end, we investigated two potential key drivers of questionnaire translation quality, namely, the a) human translators themselves and their backgrounds and b) machine translation, and how this affects survey data quality. In the project submitted here, 32 test persons (16 professional translators and 16 social scientists) produced questionnaire translations from English into German, a first set of items by producing translations from scratch (T1), and a second set of items by producing them based on correcting machine translation output (P2). (The latter process is called post-editing in the translation industry). (Data archived, starting with Exp_). The questionnaires were fielded in a web study, alongside the official published German translation of the items, and a Large Language Model produced translation (ChatGPT, 4.0, free version). This makes altogether 34 different German questionnaire versions of the same source questionnaire. Moreover, the questionnaire was also administered in the English source language for respondents in the UK. The goal was to assess the impact of different translation versions on the resulting data survey quality. (Data archived, starting with S_). This project was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project number 502005913.The overall DFG-project aimed to enhance questionnaire translation methodology in cross-national and cross-cultural survey research. Toward this end, we investigated two potential key drivers of questionnaire translation quality, namely, the a) human translators themselves and their backgrounds and b) machine translation, and how this affects survey data quality. In the project submitted here, 32 test persons (16 professional translators and 16 social scientists) produced questionnaire translations from English into German, a first set of items by producing translations from scratch (T1), and a second set of items by producing them based on correcting machine translation output (P2). (The latter process is called post-editing in the translation industry). (Data archived, starting with Exp_). The questionnaires were fielded in a web study, alongside the official published German translation of the items, and a Large Language Model produced translation (ChatGPT, 4.0, free version). This makes altogether 34 different German questionnaire versions of the same source questionnaire. Moreover, the questionnaire was also administered in the English source language for respondents in the UK. The goal was to assess the impact of different translation versions on the resulting data survey quality. (Data archived, starting with S_). This project was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project number 502005913. DeutschlandDeutschlandVereinigtes Königreich Großbritannien und NordirlandVereinigtes Königreich Großbritannien und Nordirland about 252 persons, following quotas according to age, gender, and education Cross-sectionCrossSectionQuerschnittCrossSection Nicht-Wahrscheinlichkeitsauswahl - QuotenstichprobeNicht-Wahrscheinlichkeitsauswahl - Quotenstichprobe Selbstausfüller:CAWI(Computerunterstütztes Web-Interview)Selbstausfüller:CAWI(Computerunterstütztes Web-Interview) Free access (with registration) - The research data can be downloaded by registered users. CC BY-NC 4.0: Namensnennung– Nicht kommerziell (https://creativecommons.org/licenses/by-nc/4.0/deed.de)Freier Zugang (mit Registrierung) - Die Forschungsdaten können von allen registrierten Nutzerinnen und Nutzern heruntergeladen werden. CC BY-NC 4.0: Namensnennung– Nicht kommerziell (https://creativecommons.org/licenses/by-nc/4.0/deed.de) http://dbkapps.gesis.org/dbkoai/oai.asp oai:dbk.gesis.org:SDN/10.7802_3000 2026-04-01 ddi:codebook:2_5