221 to 230 of 519 Results
Jun 15, 2023 -
Democracy Radar Wave 8 (SUF edition)
Tabular Data - 18.5 KB - 3 Variables, 491 Observations - UNF:6:R8tzYujefB9iSYi+a84uhg==
Variable identifiers and descriptions – machine-readable |
Jun 14, 2023 - Public
Kayran, Elif Naz; Danaj, Sonila; Zolyomi, Eszter; Cillo, Rossana; De Smedt, Lynn; De Wispelaere, Frederic; Kovacova, Lucia; Moran, Alexandra; Perocco, Fabio; Prinz, Nicolas; Toplak, Kristina; Vah Jevsnik, Mojca, 2023, "INFO-POW: Information Channels Cross-national Mapping Tool Dataset (OA edition)", https://doi.org/10.11587/HS6WHC, AUSSDA, V1, UNF:6:9YgQDPLXm3JhbCwUxKBv9A== [fileUNF]
Full edition for public use. INFO-POW: Information Channels Mapping Tool Cross-national Dataset is the outcome of the data collection of existing information channels for posting companies in the five project countries (Austria, Belgium, Italy, Slovenia, and Slovakia). The datase... |
Adobe PDF - 364.8 KB -
MD5: a601b3df1a5b86026d9cc95cb5b502c5
Codebook |
Tabular Data - 93.7 KB - 72 Variables, 182 Observations - UNF:6:97egiTy47ju9bhTYw/3r5w==
Core data file – STATA format – 72 Variables, 182 Observations |
ZIP Archive - 25.3 KB -
MD5: 107ac406218697f50820c9ad5913833c
Core data file – compressed CSV format – 72 Variables, 182 Observations |
Unknown - 72.7 KB -
MD5: 9c726d69d094dd8bb5a92d4de19950f2
Core data file – compressed SPSS format – 72 Variables, 182 Observations |
Adobe PDF - 621.3 KB -
MD5: b2801c7a38ac81d2e0695781ea238fbd
Method report |
Adobe PDF - 58.1 KB -
MD5: c4900e41f06d4aa442a285ec5a2690b3
Data curation protocol |
Tabular Data - 8.6 KB - 3 Variables, 242 Observations - UNF:6:aQ3Qml3QNCq4aiOaDIOzaQ==
Variable identifiers and descriptions – machine-readable |
May 25, 2023 - Public
Zoechling, Sarah; Hopf, Martin; Woithe, Julia; Schmeling, Sascha, 2023, "Study on the students' types of interest in physics (OA edition)", https://doi.org/10.11587/PHPAUN, AUSSDA, V2, UNF:6:y3tQM4n3HlTehnfXlF5kPQ== [fileUNF]
Full edition for public use. In this cross-cohort study with German-speaking students aged 14 to 16 years (N=1219) interest in mechanics and particle physics was assessed. In addition, different student characteristics, such as their physics-related self-concept, sex, and experie... |