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1,331 to 1,340 of 3,524 Results
10729_vi06_de_v1_0.tab
Nov 5, 2021 - Learning conditions during COVID-19 school context (SUF edition)
Tabular Data - 35.9 KB - 3 Variables, 743 Observations - UNF:6:9fHfCKLqTlhBa+lt5j7qvA==
Documentation
Variable identifiers and descriptions - machine-readable - Parents - Measurement point 5
10729_vi07_de_v1_0.tab
Nov 5, 2021 - Learning conditions during COVID-19 school context (SUF edition)
Tabular Data - 35.3 KB - 3 Variables, 714 Observations - UNF:6:Xe6ziedA1DDyz+Gvfb4y8A==
Documentation
Variable identifiers and descriptions - machine-readable - Teachers - Measurement point 5
10729_vi08_de_v1_0.tab
Nov 5, 2021 - Learning conditions during COVID-19 school context (SUF edition)
Tabular Data - 18.7 KB - 3 Variables, 430 Observations - UNF:6:bOGQ61khO5ydReo3f98+SQ==
Documentation
Variable identifiers and descriptions - machine-readable - School principals - Measurement point 5
RECONNECT 2019 European Parliament Election Panel Survey (SUF edition)
RECONNECT 2019 European Parliament Election Panel Survey (SUF edition)
Oct 15, 2021 - RECONNECT
Plescia, Carolina; Wilhelm, James; Kritzinger, Sylvia; Schüberl, Tanja; Partheymüller, Julia, 2020, "RECONNECT 2019 European Parliament Election Panel Survey (SUF edition)", https://doi.org/10.11587/MOV0EZ, AUSSDA, V2, UNF:6:rxEKy3OxcqnwCodNUrdJcQ== [fileUNF]
Full edition for scientific use. A pre- and post-campaign online survey of eligible voters in the 2019 European Parliament election in seven EU member states: Denmark, France, Germany, Hungary, Italy, Poland, Spain.
10080_co_en_v1_1.pdf
Oct 15, 2021 - RECONNECT 2019 European Parliament Election Panel Survey (SUF edition)
Adobe PDF - 5.5 MB - MD5: 31f8df5601bb0fbe20fedb26fafc0334
CodebookDocumentationMethod report
Codebook and Method report
10080_da_en_v1_0.tab
Oct 15, 2021 - RECONNECT 2019 European Parliament Election Panel Survey (SUF edition)
Tabular Data - 21.9 MB - 977 Variables, 14104 Observations - UNF:6:M9jNYwWfUWYvwI7piB/bwA==
DataSTATA
Core data file - STATA format - 977 Variables, 14104 Observations
10080_da_en_v1_0.zip
Oct 15, 2021 - RECONNECT 2019 European Parliament Election Panel Survey (SUF edition)
ZIP Archive - 3.4 MB - MD5: 8b4d64cc3d7734bf67123b5c82ff624a
CSVData
Core data file - compressed CSV format - 977 Variables, 14104 Observations
10080_da_en_v1_0.zsav
Oct 15, 2021 - RECONNECT 2019 European Parliament Election Panel Survey (SUF edition)
Unknown - 4.6 MB - MD5: 09bceb4395fdca30eb60859f05d4411e
DataSPSS
Core data file - compressed SPSS format - 977 Variables, 14104 Observations
10080_vi_en_v1_0.tab
Oct 15, 2021 - RECONNECT 2019 European Parliament Election Panel Survey (SUF edition)
Tabular Data - 298.7 KB - 3 Variables, 8030 Observations - UNF:6:aGn+DR/CMYddVm/acHFHjg==
Documentation
Variable identifiers and descriptions - machine-readable
Values in Crisis International (SUF edition)
Oct 14, 2021 - COVID-19 Pandemic
Aschauer, Wolfgang; Seymer, Alexander; Bodi-Fernandez, Otto; Herzog, Manfred; Hadler, Markus; Höllinger, Franz; Bacher, Johann; Welzel, Christian; Boehnke, Klaus; Delhey, Jan; Deutsch, Franziska; Eichhorn, Jan; Kühnen, Ulrich; Moraes, Diego; Kemer, Thaíse; Gonzalez, Ricardo; Salvatierra, Valentina; Fuentes, Adolfo; Chang, Yu-tzung; Chu, Yun-han; Huang, Osbern; Casas, Andres; Mendez, Nathalie; Pachulia, Merab; Gulashvili, Nino; Demertzis, Nicolas; Papadoudis, George; Linardis, Apostolos; Koniordos, Socratis; Aranitou, Valia; Huang, Yi-Hui Christine; Mungiu-Pippidi, Alina; Abels, Christoph M.; Taniguchi, Naoko; Akaliyski, Plamen; Park, Joonha; Dentsu Institute; Rakisheva, Botagoz; Mazhitova, Ainur; Ashkenova, Gulden; Cho, Youngho; Lee, Nam Young; Kim, Yeun-Sook; Kim, Jibum; Heo, Jongho; Shin, Inchol; Shim, Jae-Mahn; Kim, Ocktae; Kim, Sori; Riyaz, Aminath; Moosa, Sheena; Rahman, Raheema Abdul; Musthafa, Hawwa Shiuna; Siemienska, Renata; Domaradzka, Anna; Matysiak, Ilona; Ponarin, Eduard; Sokolov, Boris; Klimova, Aigul; Puranen, Bi; Axelsson, Tomas; Stier, Jonas, 2021, "Values in Crisis International (SUF edition)", https://doi.org/10.11587/LIHK1L, AUSSDA, V2, UNF:6:Z8Q+l1l5E8zWyeAfKkiydw== [fileUNF]
Full edition for scientific use. The COVID-19 crisis is manifold and poses major health, economic and social challenges for current societies. Long-term monitoring of central values and attitudes of citizens in times of crises help to grasp current social and political tensions. Taking this ambition to the global scale and providing comparable data...
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