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May 16, 2023 - Survey Methods: Insights from the Field
Eifler, Stefanie; Petzold, Knut; Verbeek-Teres, Miryam, 2023, "Replication Data for: Presentation Format Differences in Factorial Surveys: Written Vignettes Versus Photo Vignettes (OA edition)", https://doi.org/10.11587/PXPR97, AUSSDA, V1, UNF:6:jHFdN5pPUxjz751VjZMwWQ== [fileUNF]
This study is devoted to an analysis of presentation format differences in factorial survey experiments by the example of fear of crime as conceptualized by criminological theories. Guided by approaches from the psychology of cognition, we aim at a systematic comparison of the pr...
Mar 21, 2023 - Public
Bodlos, Anita; Hönegger, Lisa; Kernecker, Theresa; Geistberger, Julia; Di Giorgio, Sara; Mathieu, Gilles; Van Nieuwerburgh, Inge; Romier, Genevieve; Szabo, Dimitri; Tanlongo, Federica; Vernet, Marine; Van Wezel, Jos; Reichenbach, Rebecca; Rouchon, Olivier; Hermans, Emilie; Sanaa, Yosra; Prandner, Dimitri, 2022, "EOSC Pillar Researcher Survey (SUF edition)", https://doi.org/10.11587/D0UMOH, AUSSDA, V2, UNF:6:H117OGuleyLhHXECoHMA1A== [fileUNF]
Full edition for scientific use. The survey aimed at understanding researchers' data reuse behavior and was carried out at selected universities in Austria, Belgium, France, Germany, and Italy. The survey encompasses researchers' views on 1) the importance of different kinds of d...
Nov 14, 2022 - Public
Bodlos, Anita, 2022, "EOSC Pillar Researcher Interviews (SUF edition)", https://doi.org/10.11587/BDQGOR, AUSSDA, V1
Full edition for scientific use. These interviews aimed at understanding researchers' data reuse behavior. Specifically, they focus on researchers' perspectives regarding the FAIR principles: findability, accessability, interoperability, and reusability of research data. The qual...
Jul 5, 2021 - ZSI
Seebacher, Lisa M.; Konzett-Smoliner, Stefanie, 2021, "SySTEM 2020 Project Data on Science Learning Ecologies of Young Learners (SUF edition)", https://doi.org/10.11587/MG9VQK, AUSSDA, V1, UNF:6:z+1IC88WgVnoq28YFrqzng== [fileUNF]
Full edition for scientific use. The dataset comprises the data from 1468 young learners aged between 8 and 21, who stem from 17 European countries and Israel/Palestine and participated in science workshops offered by 19 museums and maker spaces. Data was collected in the realm o...
Jul 4, 2019 - Survey Methods: Insights from the Field
Walzenbach, Sandra; Hinz, Thomas, 2019, "Replication Data for: Pouring water into wine: revisiting the advantages of the crosswise model for asking sensitive questions", https://doi.org/10.11587/KZIQ4A, AUSSDA, V1, UNF:6:E8F3X8hQApDi0hcGCTs3PA== [fileUNF]
The Crosswise Model (CM) has been proposed as a method to reduce effects of social desirability in sensitive questions. In contrast with former variants of Randomized Response Techniques (RRTs), the crosswise model neither offers a self-protective response strategy, nor does it r...
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