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State Election in Schleswig-Holstein 2017

Version
1.0.0
Resource Type
Dataset : Survey and aggregate data
Creator
  • Forschungsgruppe Wahlen, Mannheim
Publication Date
2018-08-06
Contributor
  • Forschungsgruppe Wahlen, Mannheim (Data Collector)
Language
German
Classification
  • ZA:
    • Political Issues
    • Political Attitudes and Behavior
    • Political Parties, Organizations
  • CESSDA Topic Classification:
    • Mass political behaviour, attitudes/opinion
    • Government, political systems and organisation
    • Elections
Description
  • Abstract

    Assessment of parties and politicians. Attitude towards political issues. Topics: eligibility to vote in the state election in Schleswig-Holstein; most important political issues in Schleswig-Holstein; intention to participate in the state elections; intended voting type (polling station or postal vote); party preference (first vote and second vote); certainty of pesonal voting decision; importance of federal politics for the personal voting decision at state level; interest in the state election; voting behaviour in the last state election; coalition preference; attitude towards a government of SPD, Grünen and SSW, of SPD, Grünen and FDP, of CDU, Grünen and FDP, Split A: from SPD, Grünen and Die Linke, from CDU and SPD under leadership of CDU, from SPD and CDU under leadership of SPD (end of split A), split A: from CDU and Grünen, from CDU and FDP as well as from SPD and Grünen (end of split B); sympathy scale for selected parties at federal and state level; satisfaction with the state government of SPD, Grünen and SSW, the individual parties SPD, Grüne and SSW in the state government, the parties CDU, FDP and Piratenpartei in the opposition in the state parliament and the federal government of CDU/CSU and SPD (Skalometer); knowledge of the top candidates of the SPD and CDU for the office of Prime Minister; sympathy scale for selected top politicians (Torsten Albig, Daniel Günther, Monika Heinold, Wolfgang Kubicki, Angela Merkel and Martin Schulz); party that pleases best and second best; political interest; preference for Torsten Albig or Daniel Günther as prime minister; split A: comparison of the credibility, sympathy and expertise of the two leading politicians Torsten Albig and Daniel Günther (end of Split A); assessment of the economic situation of the federal state in general and in comparison with the other western German federal states; economic expectations for Schleswig-Holstein; assessment of the personal economic situation at present and in one year; split B: most competent party to solve the economic problems in the federal state, in the areas of job creation, social justice, school policy and education policy, transport policy and energy policy (end of split B); Schleswig-Holstein can cope with many refugees; party that best represents a policy in the personal sense concerning refugees; opinion on the sustainability of the federal state; most competent party to solve future problems of the federal state; assessment of the work of Prime Minister Torsten Albig; election intention of the SPD in the state election only because of Martin Schulz; vote for AfD on the basis of political demands of AfD or as a lesson for the other parties; intention to vote AfD in the state election on the basis of political demands of AfD or as a lesson for the other parties; sufficient separation of AfD in Schleswig-Holstein from right-wing extremist contents and members; opinion on selected statements on politics in Schleswig-Holstein (disagreement of the party leadership of the AfD in the federal government as reason for possibly poor performance of the AfD in Schleswig-Holstein, the Greens in Schleswig-Holstein stand for a different policy than the Greens in the federal government); split A: supporting the return to 9 years of schooling at secondary schools; opinion on more wind turbines in Schleswig-Holstein; expected winner of the state election in Schleswig-Holstein (end of split A); fair share of living standards. Demography: sex; age (classified); marital status; cohabitation with a partner; highest school leaving certificate or desired school leaving certificate; university degree; completed vocational training; occupation; assessment of own job security; occupational status; household size; number of persons aged 18 and over in the household; trade union member in the household; denomination; frequency of church attendance; party affiliation; party identification; number of telephone numbers in the household; city size. Additionally coded was: questionnaire number; weighting factor. Various questions were asked only half of the respondents. A forked questionnaire was used.
Temporal Coverage
  • 2017-05-02 / 2017-05-05
Geographic Coverage
  • Schleswig-Holstein (DE-SH)
Sampled Universe
Resident population eligible to vote
Sampling
Probability: Multistage; Sampling Procedure Comment: Probability Sample: Multistage Sample
Time Dimension
  • Cross-section
Collection Mode
  • Telephone interview: CATI
  • Telephone interview: CATI (Computer Assisted Telephone Interview)
Data and File Information
  • Unit Type: Individual
    Number of Units: 1292
    Number of Variables: 116
Availability
Download
A - Data and documents are released for academic research and teaching.
Rights
All metadata from GESIS DBK are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain Dedication. However, GESIS requests that you actively acknowledge and give attribution to all metadata sources, such as the data providers and any data aggregators, including GESIS. For further information see https://dbk.gesis.org/dbksearch/guidelines.asp
Alternative Identifiers
  • ZA6949 (Type: ZA-No.)
  • WAHLEN (Type: FDZ)
Publications
  • Forschungsgruppe Wahlen e.V.: Wahl in Schleswig-Holstein : Eine Analyse der Landtagswahl vom 7. Mai 2017. Mannheim: Berichte der Forschungsgruppe Wahlen e.V., Nr. 168

Update Metadata: 2020-10-21 | Issue Number: 18 | Registration Date: 2018-08-06

Forschungsgruppe Wahlen, Mannheim (2018): Landtagswahl in Schleswig-Holstein 2017. Version: 1.0.0. GESIS Datenarchiv. Dataset. https://doi.org/10.4232/1.13074