AUSSDA

Metrics

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Public

AUTNES

Statistik Austria

ASEP

SSÖ-ISSP

GGP

COVID-19 Pandemic

Teaching and Learning

GfK Austria

RECONNECT

Survey Methods: Insights from the Field

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11 to 20 of 6,121 Results

10787_da_en_v9_0.zsav Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition) Unknown - 4.6 MB - MD5: 096c9635c51cb8fd61265f5bdc5f100e DataSPSS Core data file - compressed SPSS format - 1554 Variables, 10479 Observations - English
10787_co_en_v1_0.pdf Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition) Adobe PDF - 3.7 MB - MD5: d565dd2e3772923af00ffe1e2a497e88 CodebookDocumentation Codebook - English
10787_mr_en_v9_0.pdf Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition) Adobe PDF - 5.8 MB - MD5: 8ddded89d867c952a17efd61ad3c4fbb DocumentationMethod report Method report - English
10787_qu_de_v9_0.pdf Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition) Adobe PDF - 5.6 MB - MD5: a7e8ba017062d4e34482b17d87acbc26 DocumentationQuestionnaire Questionnaire - German
10787_qu_en_v9_0.pdf Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition) Adobe PDF - 8.2 MB - MD5: fcebc9d779b994f238ccf7cd5580071b DocumentationQuestionnaire Questionnaire - English
10787_readme.pdf Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition) Adobe PDF - 111.4 KB - MD5: c6e7b56da25ce8775a75af4c06531111 Documentation Data curation protocol
10787_vi_de_v9_0.tab Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition) Tabular Data - 334.7 KB - 3 Variables, 8881 Observations - UNF:6:VBy2lTtEBwANprDNPUlgsw== Documentation Variable identifiers and descriptions - machine-readable - German
10787_vi_en_v9_0.tab Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition) Tabular Data - 327.5 KB - 3 Variables, 8925 Observations - UNF:6:8BGYERHoYoYFVdWc23rang== Documentation Variable identifiers and descriptions - machine-readable - English
Replication Data for: Just a Difficult Election to Poll? How Context Affects Polling Accuracy (OA edition) 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...
AUTNES Automatic Content Analysis of the Media Coverage 2024 (SUF edition) 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).

10787_da_en_v9_0.zsav

Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition)

Unknown - 4.6 MB -

DataSPSS

Core data file - compressed SPSS format - 1554 Variables, 10479 Observations - English

10787_co_en_v1_0.pdf

Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition)

Adobe PDF - 3.7 MB -

CodebookDocumentation

Codebook - English

10787_mr_en_v9_0.pdf

Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition)

Adobe PDF - 5.8 MB -

DocumentationMethod report

Method report - English

10787_qu_de_v9_0.pdf

Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition)

Adobe PDF - 5.6 MB -

DocumentationQuestionnaire

Questionnaire - German

10787_qu_en_v9_0.pdf

Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition)

Adobe PDF - 8.2 MB -

DocumentationQuestionnaire

Questionnaire - English

10787_readme.pdf

Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition)

Adobe PDF - 111.4 KB -

Documentation

Data curation protocol

10787_vi_de_v9_0.tab

Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition)

Tabular Data - 334.7 KB - 3 Variables, 8881 Observations -

Documentation

Variable identifiers and descriptions - machine-readable - German

10787_vi_en_v9_0.tab

Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition)

Tabular Data - 327.5 KB - 3 Variables, 8925 Observations -

Documentation

Variable identifiers and descriptions - machine-readable - English

Replication Data for: Just a Difficult Election to Poll? How Context Affects Polling Accuracy (OA edition)

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...

AUTNES Automatic Content Analysis of the Media Coverage 2024 (SUF edition)

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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