AUTNES

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251 to 260 of 387 Results

10725_da_en_v1_0.zsav Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases 2017 (SUF edition) Unknown - 1.4 MB - MD5: 75f2d5625ec5ef1872a3a0a582a19665 DataSPSS Core data file - compressed SPSS format - 32 Variables, 1073 Observations
10725_vi_en_v1_0.tab Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases 2017 (SUF edition) Tabular Data - 1000.8 KB - 3 Variables, 27734 Observations - UNF:6:CbLGDbA4M7EjhY/3qduXAw== Documentation Variable identifiers and descriptions - machine-readable
AUTNES Content Analysis of Party Press Releases: Cumulative File (SUF edition) Apr 9, 2021 Müller, Wolfgang C.; Bodlos, Anita; Dolezal, Martin; Eder, Nikolaus; Ennser-Jedenastik, Laurenz; Gahn, Christina; Graf, Elisabeth; Haselmayer, Martin; Haudum, Teresa; Huber, Lena Maria; Kaltenegger, Matthias; Meyer, Thomas M.; Praprotnik, Katrin; Reidinger, Verena; Winkler, Anna Katharina, 2021, "AUTNES Content Analysis of Party Press Releases: Cumulative File (SUF edition)", https://doi.org/10.11587/25P2WR, AUSSDA, V1, UNF:6:i67aYEm1NvbUjmVt3owwZA== [fileUNF] Full edition for scientific use. The AUTNES coding of party press releases covers all press releases that were issued by parties gaining at least two percent of the votes in the national elections 2002, 2006, 2008, 2013 and 2017. The coding procedure applies the AUTNES relational approach of recording subjects, predicates, and objects to press rele...
10726_co_en_v1_0.pdf Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases: Cumulative File (SUF edition) Adobe PDF - 325.6 KB - MD5: e4bc02753fec8b213c4047a25bf7d1a3 CodebookDocumentation Codebook
10726_da_en_v1_0.tab Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases: Cumulative File (SUF edition) Tabular Data - 10.1 MB - 43 Variables, 9943 Observations - UNF:6:mr84BrW8+myOXMArMBmVag== DataSTATA Core data file - compressed SPSS format - 43 Variables, 9943 Observations
10726_da_en_v1_0.zip Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases: Cumulative File (SUF edition) ZIP Archive - 3.0 MB - MD5: 65c7dbadf693722009c4c2b43a165af8 CSVData Core data file - compressed csv format - 43 Variables, 9943 Observations
10726_da_en_v1_0.zsav Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases: Cumulative File (SUF edition) Unknown - 6.4 MB - MD5: dd34b1e1cfcc297399a7b1e3d69236dd DataSPSS Core data file - compressed SPSS format - 43 Variables, 9943 Observations
10726_vi_en_v1_0.tab Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases: Cumulative File (SUF edition) Tabular Data - 1.2 MB - 3 Variables, 32831 Observations - UNF:6:GpGTXFUnCq3M8S2BqT0G2Q== Documentation Variable identifiers and descriptions - machine-readable
AUTNES Content Analysis of Party Manifestos 2002 (SUF edition) Jan 28, 2021 Müller, Wolfgang C.; Bodlos, Anita; Dolezal, Martin; Eder, Nikolaus; Ennser-Jedenastik, Laurenz; Kaltenegger, Matthias; Meyer, Thomas M.; Praprotnik, Katrin; Winkler, Anna Katharina, 2021, "AUTNES Content Analysis of Party Manifestos 2002 (SUF edition)", https://doi.org/10.11587/THIDUU, AUSSDA, V1, UNF:6:a4Sq7qH3IQUbdgVs+D0HBA== [fileUNF] Full edition for scientific use. The AUTNES dataset on party manifestos covers the manifestos of the relevant parties that competed in the Austrian national elections 2002. All natural sentences within the manifestos are part of the dataset. The units of analysis are standardized statements derived from these natural sentences by means of a set of...
10078_co_en_v1_0.pdf Jan 28, 2021 - AUTNES Content Analysis of Party Manifestos 2002 (SUF edition) Adobe PDF - 284.2 KB - MD5: 8c5425c29b97be05228f98fdd2df9b51 CodebookDocumentation Codebook

10725_da_en_v1_0.zsav

Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases 2017 (SUF edition)

Unknown - 1.4 MB -

DataSPSS

Core data file - compressed SPSS format - 32 Variables, 1073 Observations

10725_vi_en_v1_0.tab

Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases 2017 (SUF edition)

Tabular Data - 1000.8 KB - 3 Variables, 27734 Observations -

Documentation

Variable identifiers and descriptions - machine-readable

AUTNES Content Analysis of Party Press Releases: Cumulative File (SUF edition)

Apr 9, 2021

Müller, Wolfgang C.; Bodlos, Anita; Dolezal, Martin; Eder, Nikolaus; Ennser-Jedenastik, Laurenz; Gahn, Christina; Graf, Elisabeth; Haselmayer, Martin; Haudum, Teresa; Huber, Lena Maria; Kaltenegger, Matthias; Meyer, Thomas M.; Praprotnik, Katrin; Reidinger, Verena; Winkler, Anna Katharina, 2021, "AUTNES Content Analysis of Party Press Releases: Cumulative File (SUF edition)", https://doi.org/10.11587/25P2WR, AUSSDA, V1, UNF:6:i67aYEm1NvbUjmVt3owwZA== [fileUNF]

Full edition for scientific use. The AUTNES coding of party press releases covers all press releases that were issued by parties gaining at least two percent of the votes in the national elections 2002, 2006, 2008, 2013 and 2017. The coding procedure applies the AUTNES relational approach of recording subjects, predicates, and objects to press rele...

10726_co_en_v1_0.pdf

Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases: Cumulative File (SUF edition)

Adobe PDF - 325.6 KB -

CodebookDocumentation

Codebook

10726_da_en_v1_0.tab

Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases: Cumulative File (SUF edition)

Tabular Data - 10.1 MB - 43 Variables, 9943 Observations -

DataSTATA

Core data file - compressed SPSS format - 43 Variables, 9943 Observations

10726_da_en_v1_0.zip

Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases: Cumulative File (SUF edition)

ZIP Archive - 3.0 MB -

CSVData

Core data file - compressed csv format - 43 Variables, 9943 Observations

10726_da_en_v1_0.zsav

Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases: Cumulative File (SUF edition)

Unknown - 6.4 MB -

DataSPSS

Core data file - compressed SPSS format - 43 Variables, 9943 Observations

10726_vi_en_v1_0.tab

Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases: Cumulative File (SUF edition)

Tabular Data - 1.2 MB - 3 Variables, 32831 Observations -

Documentation

Variable identifiers and descriptions - machine-readable

AUTNES Content Analysis of Party Manifestos 2002 (SUF edition)

Jan 28, 2021

Müller, Wolfgang C.; Bodlos, Anita; Dolezal, Martin; Eder, Nikolaus; Ennser-Jedenastik, Laurenz; Kaltenegger, Matthias; Meyer, Thomas M.; Praprotnik, Katrin; Winkler, Anna Katharina, 2021, "AUTNES Content Analysis of Party Manifestos 2002 (SUF edition)", https://doi.org/10.11587/THIDUU, AUSSDA, V1, UNF:6:a4Sq7qH3IQUbdgVs+D0HBA== [fileUNF]

Full edition for scientific use. The AUTNES dataset on party manifestos covers the manifestos of the relevant parties that competed in the Austrian national elections 2002. All natural sentences within the manifestos are part of the dataset. The units of analysis are standardized statements derived from these natural sentences by means of a set of...

10078_co_en_v1_0.pdf

Jan 28, 2021 - AUTNES Content Analysis of Party Manifestos 2002 (SUF edition)

Adobe PDF - 284.2 KB -

CodebookDocumentation

Codebook

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