AUTNES

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

171 to 180 of 374 Results

AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition) Feb 8, 2022 Aichholzer, Julian; Kritzinger, Sylvia; Wagner, Markus; Berk, Nicolai; Boomgaarden, Hajo; Müller, Wolfgang C., 2018, "AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition)", https://doi.org/10.11587/GDBBPJ, AUSSDA, V3, UNF:6:9n947nIAfyFyULX3G0HneQ== [fileUNF] Reduced edition for public use. Full edition available for scientific use. This is Open Access data based on the Comparative Study of Electoral Systems (CSES) Module 5 and focuses on the Austrian National Parliamentary Election held on 15 October 2017. This survey is part of the...
10001_da_de_v1_1.tab Feb 8, 2022 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition) Tabular Data - 329.4 KB - 111 Variables, 1203 Observations - UNF:6:XW3zpeQoxpVqfX0y0Ug6nA== DataSTATA Core data file - STATA format - 111 Variables, 1203 Observations
10001_da_de_v1_1.zsav Feb 8, 2022 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition) Unknown - 121.1 KB - MD5: 4122d003731d8089f517da836082456a DataSPSS Core data file - compressed SPSS format - 111 Variables, 1203 Observations
10001_errata.pdf Feb 8, 2022 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition) Adobe PDF - 33.3 KB - MD5: 844e7ce7740d17f3aa8f1075b9a44522 Documentation Errata
10001_mr_de_v1_1.pdf Feb 8, 2022 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition) Adobe PDF - 287.6 KB - MD5: 3ecbd529e24291ad7153227d1c645db7 DocumentationMethod report Method report
10001_qu_de_v1_1.pdf Feb 8, 2022 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition) Adobe PDF - 242.9 KB - MD5: eafe22eaa1e910f42e137e70a0ee6e24 DocumentationQuestionnaire Questionnaire
10001_vi_de_v1_1.tab Feb 8, 2022 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition) Tabular Data - 24.0 KB - 3 Variables, 728 Observations - UNF:6:dpn+gbsiyORnkmxQaUm3CA== Documentation Variable identifiers and descriptions - machine-readable - German
AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition) Dec 16, 2021 Müller, Wolfgang C.; Bodlos, Anita; Ennser-Jedenastik, Laurenz; Gahn, Christina; Graf, Elisabeth; Haselmayer, Martin; Huber, Lena Maria; Meyer, Thomas M.; Reidinger, Verena, 2021, "AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition)", https://doi.org/10.11587/17OKDP, AUSSDA, V1, UNF:6:+TjGT7eMuO/jI+6Fnkm+0Q== [fileUNF] Full edition for scientific use. The AUTNES dataset on party Facebook pages contains information on parties’ Facebook posts during the six weeks of election campaign for the Austrian general election in 2017. We retrieved posts for all relevant parties and their top candidates. E...
10728_co_en_v1_0.pdf Dec 16, 2021 - AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition) Adobe PDF - 425.8 KB - MD5: 60d42891ed4048ff6f94a8c430aa16df CodebookDocumentation Codebook
10728_da_en_v1_0.tab Dec 16, 2021 - AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition) Tabular Data - 1.7 MB - 101 Variables, 2769 Observations - UNF:6:W9Ta617LDwpudHR9up39Tw== DataSTATA Core data file - STATA format - 101 Variables, 2769 Observations

AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition)

Feb 8, 2022

Aichholzer, Julian; Kritzinger, Sylvia; Wagner, Markus; Berk, Nicolai; Boomgaarden, Hajo; Müller, Wolfgang C., 2018, "AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition)", https://doi.org/10.11587/GDBBPJ, AUSSDA, V3, UNF:6:9n947nIAfyFyULX3G0HneQ== [fileUNF]

Reduced edition for public use. Full edition available for scientific use. This is Open Access data based on the Comparative Study of Electoral Systems (CSES) Module 5 and focuses on the Austrian National Parliamentary Election held on 15 October 2017. This survey is part of the...

10001_da_de_v1_1.tab

Feb 8, 2022 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition)

Tabular Data - 329.4 KB - 111 Variables, 1203 Observations -

DataSTATA

Core data file - STATA format - 111 Variables, 1203 Observations

10001_da_de_v1_1.zsav

Feb 8, 2022 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition)

Unknown - 121.1 KB -

DataSPSS

Core data file - compressed SPSS format - 111 Variables, 1203 Observations

10001_errata.pdf

Feb 8, 2022 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition)

Adobe PDF - 33.3 KB -

Documentation

Errata

10001_mr_de_v1_1.pdf

Feb 8, 2022 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition)

Adobe PDF - 287.6 KB -

DocumentationMethod report

Method report

10001_qu_de_v1_1.pdf

Feb 8, 2022 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition)

Adobe PDF - 242.9 KB -

DocumentationQuestionnaire

Questionnaire

10001_vi_de_v1_1.tab

Feb 8, 2022 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition)

Tabular Data - 24.0 KB - 3 Variables, 728 Observations -

Documentation

Variable identifiers and descriptions - machine-readable - German

AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition)

Dec 16, 2021

Müller, Wolfgang C.; Bodlos, Anita; Ennser-Jedenastik, Laurenz; Gahn, Christina; Graf, Elisabeth; Haselmayer, Martin; Huber, Lena Maria; Meyer, Thomas M.; Reidinger, Verena, 2021, "AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition)", https://doi.org/10.11587/17OKDP, AUSSDA, V1, UNF:6:+TjGT7eMuO/jI+6Fnkm+0Q== [fileUNF]

Full edition for scientific use. The AUTNES dataset on party Facebook pages contains information on parties’ Facebook posts during the six weeks of election campaign for the Austrian general election in 2017. We retrieved posts for all relevant parties and their top candidates. E...

10728_co_en_v1_0.pdf

Dec 16, 2021 - AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition)

Adobe PDF - 425.8 KB -

CodebookDocumentation

Codebook

10728_da_en_v1_0.tab

Dec 16, 2021 - AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition)

Tabular Data - 1.7 MB - 101 Variables, 2769 Observations -

DataSTATA

Core data file - STATA format - 101 Variables, 2769 Observations

Add Data

Share Dataverse

Link Dataverse

Reset Modifications