Topic Classification Term: Political ideology ((CESSDA Topic Classification))
Geographic Coverage Country / Nation: Austria
21 to 30 of 44 Results
Apr 9, 2021 - AUTNES
Müller, Wolfgang C.; Bodlos, Anita; Ennser-Jedenastik, Laurenz; Gahn, Christina; Graf, Elisabeth; Haselmayer, Martin; Haudum, Teresa; Huber, Lena Maria; Meyer, Thomas M.; Reidinger, Verena, 2021, "AUTNES Content Analysis of Party Press Releases 2017 (SUF edition)", https://doi.org/10.11587/EVSU6G, AUSSDA, V1, UNF:6:xoZ35Wfcr7N5fcP3tlZotQ== [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 election 2017. The coding procedure applies the AUTNES relational approach of recording subje... |
Apr 9, 2021 - AUTNES
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:V9hNiWjjSnOK8j2CFzWZlw== [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... |
Jan 28, 2021 - AUTNES
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... |
Jan 28, 2021 - AUTNES
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 2006 (SUF edition)", https://doi.org/10.11587/XJZPCU, AUSSDA, V1, UNF:6:77INWnY0/BTZHIQbsNy6wg== [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 2006. All natural sentences within the manifestos are part of the dataset. The units of analysis are standardized... |
Jan 28, 2021 - AUTNES
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 2008 (SUF edition)", https://doi.org/10.11587/U4DWGK, AUSSDA, V1, UNF:6:iLiGDE7xtcjqSRvQ4yDTkg== [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 2008. All natural sentences within the manifestos are part of the dataset. The units of analysis are standardized... |
Jan 28, 2021 - AUTNES
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 2013 (SUF edition)", https://doi.org/10.11587/YJT5WA, AUSSDA, V1, UNF:6:iWOhIDXh6dBFX98LPU4FnA== [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 2013. All natural sentences within the manifestos are part of the dataset. The units of analysis are standardized... |
Jan 27, 2021 - AUTNES
Müller, Wolfgang C.; Bodlos, Anita; Ennser-Jedenastik, Laurenz; Gahn, Christina; Graf, Elisabeth; Haselmayer, Martin; Haudum, Teresa; Huber, Lena Maria; Meyer, Thomas M.; Wurzer, Katharina, 2021, "AUTNES Content Analysis of Party Manifestos 2017 (SUF edition)", https://doi.org/10.11587/9LZSK5, AUSSDA, V1, UNF:6:sJ8nnBvgrK1dCf0zHFMfHg== [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 election 2017. All natural sentences within the manifestos are part of the dataset. The units of analysis are standardized... |
Aug 27, 2020 - AUTNES
Aichholzer, Julian; Partheymüller, Julia; Wagner, Markus; Kritzinger, Sylvia; Plescia, Carolina; Eberl, Jakob-Moritz; Meyer, Thomas; Berk, Nicolai; Büttner, Nico; Boomgaarden, Hajo; Müller, Wolfgang C., 2020, "AUTNES Online Panel Study 2017-2019 (SUF Edition)", https://doi.org/10.11587/QDETRI, AUSSDA, V1, UNF:6:PRC+g7z2YaNDAY0fxuvOkw== [fileUNF]
Full edition for scientific use. The AUTNES Online Panel Study 2017–2019 is a thirteen-wave panel that focuses on the Austrian National Parliamentary Election held on 15 October 2017 and 29 September 2019. This survey is part of the Austrian National Election Study (AUTNES). |
Aug 27, 2020 - AUTNES
Wagner, Markus; Aichholzer, Julian; Eberl, Jakob-Moritz; Meyer, Thomas M.; Berk, Nicolai; Büttner, Nico; Boomgaarden, Hajo; Kritzinger, Sylvia; Müller, Wolfgang C., 2018, "AUTNES Online Panel Study 2017 (SUF edition)", https://doi.org/10.11587/I7QIYJ, AUSSDA, V4, UNF:6:qXpb3Rjb7GgLHw7J3wNrEA== [fileUNF]
Full edition for scientific use. The AUTNES Online Panel Study 2017 is a six-wave panel that focuses on the Austrian National Parliamentary Election held on 15 October 2017. This survey is part of the Austrian National Election Study (AUTNES). |
Jun 24, 2020 - Sozialwissenschaftliche Studiengesellschaft (SWS)
Sozialwissenschaftliche Studiengesellschaft, 2020, "Corruption 2008", https://doi.org/10.11587/MMUCHP, AUSSDA, V1, UNF:6:mOtAQoV2C9Yn87PZ0EI59g== [fileUNF]
No abstract available |