2026-05-26T10:17:15Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

5545647cf9812e19dfd853a664e5d2ec44849fe39e2757c91bf1d5d11c267758 2025-06-17T03:15:06Z language:enopenaire_data

DDI study level documentation for study 10.7802/2011 Designing Multi-Factorial Survey Experiments: Effects of Presentation Style (Text or Table), Answering Scales, and Vignette Order Designing Multi-Factorial Survey Experiments: Effects of Presentation Style (Text or Table), Answering Scales, and Vignette Order Designing Multi-Factorial Survey Experiments: Effects of Presentation Style (Text or Table), Answering Scales, and Vignette Order 10.7802/201110.7802/201110.7802/201110.7802/2011 Auspurg, Katrin Auspurg, Katrin Hinz, Thomas Hinz, Thomas Sauer, Carsten Sauer, Carsten [Deutsche Forschungsgemeinschaft] GESIS Data Archive for the Social SciencesGESIS Datenarchiv für Sozialwissenschaften Multi-factorial surveyvignette presentationresponse scalevignette orderceiling effectsMulti-factorial surveyvignette presentationresponse scalevignette orderceiling effects Multi-factorial survey experiments have become a well-established tool in social sciences as they combine experimental designs with advantages of heterogeneous respondent samples. This survey was conducted to investigate methods problems that can be related with different design features of factorial surveys. Three questions can be investigated: how to present vignettes (running text vs. table), how to measure responses (rating vs. open scale), and how to sort vignettes (random vs. extreme-cases-first, to prevent censored responses). Experiments were conducted in a 2 x 2 x 2 between-subject design with 408 university students rating decks à 20 vignettes. <br>Results were published in Carsten Sauer, Katrin Auspurg, Thomas Hinz (2020).Multi-factorial survey experiments have become a well-established tool in social sciences as they combine experimental designs with advantages of heterogeneous respondent samples. This survey was conducted to investigate methods problems that can be related with different design features of factorial surveys. Three questions can be investigated: how to present vignettes (running text vs. table), how to measure responses (rating vs. open scale), and how to sort vignettes (random vs. extreme-cases-first, to prevent censored responses). Experiments were conducted in a 2 x 2 x 2 between-subject design with 408 university students rating decks à 20 vignettes. <br>Results were published in Carsten Sauer, Katrin Auspurg, Thomas Hinz (2020). DeutschlandDeutschland Studierende der Sozialwissenschaften Cross-sectionCrossSectionQuerschnittCrossSection Nicht-WahrscheinlichkeitsauswahINicht-WahrscheinlichkeitsauswahI Web-basiertes InterviewWeb-basiertes Interview Free access (with registration) - The research data can be downloaded by registered users.Freier Zugang (mit Registrierung) - Die Forschungsdaten können von allen registrierten Nutzerinnen und Nutzern heruntergeladen werden. http://dbkapps.gesis.org/dbkoai/oai.asp oai:dbk.gesis.org:SDN/10.7802_2011 2023-03-11 ddi:codebook:2_5