AUSSDA

Metrics

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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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1 to 10 of 5,937 Results

Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition) Jul 24, 2025 - Public Pfaff, Katharina; Kritzinger, Sylvia; Partheymüller, Julia; Conte, Luca; Duschek, Béla; Walcherberger, Christina, 2024, "Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)", https://doi.org/10.11587/BS8ZDC, AUSSDA, V4, UNF:6:ycykwd9saLfypkqIkB6O2A== [fileUNF] Full edition for scientific use. The Digitize! Online Panel is used for Austrian opinion surveys, which collect data on attitudes, behavior, and understanding of social phenomena or topics such as immigration, attitudes towards work, family, health, or the environment, as well as...
10876_da_de_v4_0.tab Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition) Tabular Data - 1.3 MB - 187 Variables, 1683 Observations - UNF:6:qMahBfWTxYZ7ZEa4E+1GTA== DataSTATA Core data file – STATA format – 187 Variables, 1683 Observations – German
10876_da_de_v4_0.zip Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition) ZIP Archive - 214.3 KB - MD5: 75f4b25ad2417aae753e01b1b059170b CSVData Core data file – compressed CSV format – 187 Variables, 1683 Observations – German
10876_da_de_v4_0.zsav Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition) Unknown - 300.3 KB - MD5: f37110e691119095b7ee8d8e902603fa DataSPSS Core data file – compressed SPSS format – 187 Variables, 1683 Observations – German
10876_da_en_v4_0.tab Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition) Tabular Data - 1.3 MB - 187 Variables, 1683 Observations - UNF:6:OUMtPF2b7Ph7uQZpkE5opw== DataSTATA Core data file – STATA format – 187 Variables, 1683 Observations – English
10876_da_en_v4_0.zip Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition) ZIP Archive - 214.2 KB - MD5: 2e8f94c23f15529384ae194b0d807780 CSVData Core data file – compressed CSV format – 187 Variables, 1683 Observations – English
10876_da_en_v4_0.zsav Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition) Unknown - 295.6 KB - MD5: 944147150bc76dfe56e2efe84abea5a4 DataSPSS Core data file – compressed SPSS format – 187 Variables, 1683 Observations – English
10876_mr_en_v3_0.pdf Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition) Adobe PDF - 731.0 KB - MD5: 663f74ec4b2c224664d4162724214476 CodebookDocumentationMethod report Method report and Codebook — English
10876_readme.pdf Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition) Adobe PDF - 59.9 KB - MD5: f401ddb49cf0ee7b2ced44a829c0bbc9 Documentation Data curation protocol
10876_vi_de_v4_0.tab Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition) Tabular Data - 49.1 KB - 3 Variables, 1319 Observations - UNF:6:0kDd95ayAqIn9axIOFaXgA== Documentation Variable identifiers and descriptions – machine-readable – German

Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)

Jul 24, 2025 - Public

Pfaff, Katharina; Kritzinger, Sylvia; Partheymüller, Julia; Conte, Luca; Duschek, Béla; Walcherberger, Christina, 2024, "Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)", https://doi.org/10.11587/BS8ZDC, AUSSDA, V4, UNF:6:ycykwd9saLfypkqIkB6O2A== [fileUNF]

Full edition for scientific use. The Digitize! Online Panel is used for Austrian opinion surveys, which collect data on attitudes, behavior, and understanding of social phenomena or topics such as immigration, attitudes towards work, family, health, or the environment, as well as...

10876_da_de_v4_0.tab

Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)

Tabular Data - 1.3 MB - 187 Variables, 1683 Observations -

DataSTATA

Core data file – STATA format – 187 Variables, 1683 Observations – German

10876_da_de_v4_0.zip

Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)

ZIP Archive - 214.3 KB -

CSVData

Core data file – compressed CSV format – 187 Variables, 1683 Observations – German

10876_da_de_v4_0.zsav

Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)

Unknown - 300.3 KB -

DataSPSS

Core data file – compressed SPSS format – 187 Variables, 1683 Observations – German

10876_da_en_v4_0.tab

Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)

Tabular Data - 1.3 MB - 187 Variables, 1683 Observations -

DataSTATA

Core data file – STATA format – 187 Variables, 1683 Observations – English

10876_da_en_v4_0.zip

Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)

ZIP Archive - 214.2 KB -

CSVData

Core data file – compressed CSV format – 187 Variables, 1683 Observations – English

10876_da_en_v4_0.zsav

Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)

Unknown - 295.6 KB -

DataSPSS

Core data file – compressed SPSS format – 187 Variables, 1683 Observations – English

10876_mr_en_v3_0.pdf

Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)

Adobe PDF - 731.0 KB -

CodebookDocumentationMethod report

Method report and Codebook — English

10876_readme.pdf

Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)

Adobe PDF - 59.9 KB -

Documentation

Data curation protocol

10876_vi_de_v4_0.tab

Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)

Tabular Data - 49.1 KB - 3 Variables, 1319 Observations -

Documentation

Variable identifiers and descriptions – machine-readable – German

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