AUSSDA

Metrics

167,316 Downloads

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.

Publication Status: Published

2,071 to 2,080 of 5,953 Results

10757_qu02_de_v1_0.pdf Dec 21, 2021 - ICKE - International Corona Daycare Center Survey (SUF edition) Adobe PDF - 859.5 KB - MD5: af45b43e5b648c974c0a6749f170f0f0 DocumentationQuestionnaire Questionnaire - Heads of early childhood institutions
10757_vi01_de_v1_0.tab Dec 21, 2021 - ICKE - International Corona Daycare Center Survey (SUF edition) Tabular Data - 79.9 KB - 3 Variables, 1362 Observations - UNF:6:xJy5rj2L7SjOdXlWRpeLEQ== Documentation Variable identifiers and descriptions - machine-readable - Parents
10757_vi02_de_v1_0.tab Dec 21, 2021 - ICKE - International Corona Daycare Center Survey (SUF edition) Tabular Data - 80.9 KB - 3 Variables, 1046 Observations - UNF:6:tFNK9wEhsSAjmVKyt7cphQ== Documentation Variable identifiers and descriptions - machine-readable - Heads of early childhood institutions
AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition) Dec 16, 2021 - AUTNES 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
10728_da_en_v1_0.zip Dec 16, 2021 - AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition) ZIP Archive - 392.8 KB - MD5: b65f0b099796b26a9213754427964f05 CSVData Core data file - compressed csv format - 101 Variables, 2769 Observations
10728_da_en_v1_0.zsav Dec 16, 2021 - AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition) Unknown - 2.5 MB - MD5: b67f2e0029cda39be87fc081c5921dfb DataSPSS Core data file - compressed SPSS format - 101 Variables, 2769 Observations
10728_readme.pdf Dec 16, 2021 - AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition) Adobe PDF - 38.6 KB - MD5: 1166ba926d8906730555718cf9389802 Documentation General information
10728_vi_en_v1_0.tab Dec 16, 2021 - AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition) Tabular Data - 2.0 MB - 3 Variables, 53917 Observations - UNF:6:euw7zkPPqeQuUaqYZl1uxg== Documentation Variable identifiers and descriptions - machine-readable

10757_qu02_de_v1_0.pdf

Dec 21, 2021 - ICKE - International Corona Daycare Center Survey (SUF edition)

Adobe PDF - 859.5 KB -

DocumentationQuestionnaire

Questionnaire - Heads of early childhood institutions

10757_vi01_de_v1_0.tab

Dec 21, 2021 - ICKE - International Corona Daycare Center Survey (SUF edition)

Tabular Data - 79.9 KB - 3 Variables, 1362 Observations -

Documentation

Variable identifiers and descriptions - machine-readable - Parents

10757_vi02_de_v1_0.tab

Dec 21, 2021 - ICKE - International Corona Daycare Center Survey (SUF edition)

Tabular Data - 80.9 KB - 3 Variables, 1046 Observations -

Documentation

Variable identifiers and descriptions - machine-readable - Heads of early childhood institutions

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

Dec 16, 2021 - AUTNES

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

10728_da_en_v1_0.zip

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

ZIP Archive - 392.8 KB -

CSVData

Core data file - compressed csv format - 101 Variables, 2769 Observations

10728_da_en_v1_0.zsav

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

Unknown - 2.5 MB -

DataSPSS

Core data file - compressed SPSS format - 101 Variables, 2769 Observations

10728_readme.pdf

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

Adobe PDF - 38.6 KB -

Documentation

General information

10728_vi_en_v1_0.tab

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

Tabular Data - 2.0 MB - 3 Variables, 53917 Observations -

Documentation

Variable identifiers and descriptions - machine-readable

Add Data

Share Dataverse

Link Dataverse

Reset Modifications