Metrics
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11 to 20 of 6,096 Results
Unknown - 4.6 MB - MD5: 096c9635c51cb8fd61265f5bdc5f100e
DataSPSS
Core data file - compressed SPSS format - 1554 Variables, 10479 Observations - English
Adobe PDF - 3.7 MB - MD5: d565dd2e3772923af00ffe1e2a497e88
CodebookDocumentation
Codebook - English
Adobe PDF - 5.8 MB - MD5: 8ddded89d867c952a17efd61ad3c4fbb
DocumentationMethod report
Method report - English
Adobe PDF - 5.6 MB - MD5: a7e8ba017062d4e34482b17d87acbc26
DocumentationQuestionnaire
Questionnaire - German
Adobe PDF - 8.2 MB - MD5: fcebc9d779b994f238ccf7cd5580071b
DocumentationQuestionnaire
Questionnaire - English
Adobe PDF - 111.4 KB - MD5: c6e7b56da25ce8775a75af4c06531111
Documentation
Data curation protocol
Tabular Data - 334.7 KB - 3 Variables, 8881 Observations - UNF:6:VBy2lTtEBwANprDNPUlgsw==
Documentation
Variable identifiers and descriptions - machine-readable - German
Tabular Data - 327.5 KB - 3 Variables, 8925 Observations - UNF:6:8BGYERHoYoYFVdWc23rang==
Documentation
Variable identifiers and descriptions - machine-readable - English
Jan 12, 2026 - Survey Methods: Insights from the Field
Sohlberg, Jacob; Branham, J. Alexander, 2021, "Replication Data for: Just a Difficult Election to Poll? How Context Affects Polling Accuracy (OA edition)", https://doi.org/10.11587/X8UZ60, AUSSDA, V3, UNF:6:n4RftwCz8ZmBnrAeoqWWxA== [fileUNF]
Although polling accuracy increases throughout the election, polls are always at least a little wrong on election day. In this article, we attempt to understand how characteristics of particular elections may make them harder (or easier) to predict. In particular, we focus on estimating the impact of voter turnout, electoral change, and vote buying...
Jan 12, 2026 - AUTNES
Bernhard-Harrer, Jana; Stecker, Marvin; Eberl, Jakob-Moritz; Boomgaarden, Hajo G.; Kritzinger, Sylvia; Ennser-Jedenastik, Laurenz, 2026, "AUTNES Automatic Content Analysis of the Media Coverage 2024 (SUF edition)", https://doi.org/10.11587/HOEXGX, AUSSDA, V1, UNF:6:6b8jZJA82Sv/moRpV9u+NA== [fileUNF]
Full edition for scientific use. The dataset comprises data of AUTNES automatic content analysis of media coverage of the Austrian National Election held on 29 September 2024. This study is part of the Austrian National Election Study (AUTNES).
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