AUTNES Rolling-Cross-Section Panel Study 2013

  • Syliva Kritzinger (Creator)
  • David Johann (Creator)
  • Julian Aicholzer (Creator)
  • Christian Glantschnigg (Creator)
  • Glinitzer Konstantin (Creator)
  • Kathrin Thomas (Creator)
  • Wagner Markus (Creator)
  • Eva Zeglovits (Creator)

Dataset

Description

Study ZA5857

This dataset contains political preferences of Austrian citizens eligible to vote (age 16 and older) before (wave 1) and after (waves 2 and 3) the national parliamentary election on 29.9.2013. Telephone interviews (CATI) were conducted in the periods 5.8. – 27.9.2013 (wave 1), 1.10. – 4.11.2013 (wave 2) and 14.8. – 20.10.2015 (wave 3). The first wave is based on a rolling-cross-section design. For wave 1, 4011 respondents were randomly sampled and re-interviewed in wave 2 (n = 2607) and wave 3 (n = 1223). Important variables are, among others, the most important political issues concerning the upcoming national electoral campaign and which party is most qualified to deal with them; party closeness and party identification; self- and party-placements on a left-right scale; a like-dislike-scale for parties and selected front-running politicians; probability of participating in the election and vote choice; contact with politicians and parties; coalition preferences; media usage and ways of seeking political information; and preferences on issues such as the financial and euro crisis, school, combating unemployment and corruption, immigration policy, and housing. Additional variables capture demographics, weights, and interview ratings.
Date made available2016
PublisherLeibniz-Institute fur Sozialwissenschaften : GESIS Data Archive
Date of data production8 Aug 2013 - 4 Nov 2013
Geographical coverageAustria

Cite this

Kritzinger, S. (Creator), Johann, D. (Creator), Aicholzer, J. (Creator), Glantschnigg, C. (Creator), Konstantin, G. (Creator), Thomas, K. (Creator), Markus, W. (Creator), Zeglovits, E. (Creator) (2016). AUTNES Rolling-Cross-Section Panel Study 2013. Leibniz-Institute fur Sozialwissenschaften : GESIS Data Archive. 10.4232/1.12631