State Election in Schleswig-Holstein 2022

The study on the state election in Schleswig-Holstein 2022 was conducted by the Forschungsgruppe Wahlen. In the survey period 02.05.2022 to 06.05.2022, 1173 eligible voters in Schleswig-Holstein were interviewed by telephone (CATI) on the following topics: assessment of parties and politicians on the state election and political issues. The respondents were selected by a multi-stage random sample.<br>Eligibility to vote in the state election in Schleswig-Holstein; most important political issues in Schleswig-Holstein; intention to vote in the state election; intended type of vote (polling station or absentee ballot); party preference (first and second vote); certainty of one´s own voting decision; Importance of federal politics for one´s own voting decision at the state level; interest in the state election; voting behavior in the last state election; coalition preference; attitude toward a government of CDU and Greens, of CDU and FDP, of CDU, Greens and FDP, split A: from SPD, Greens and FDP, from CDU and SPD (end of split A), split B: to a government from CDU, FDP and SSW and from SPD, Greens and SSW (end of split B); sympathy scalometer for selected parties at federal and state level; satisfaction with the state government consisting of the CDU, Greens and FDP, the individual parties CDU, Greens and FDP in the state government, the parties SPD, AfD and SSW in opposition in the state parliament, and the federal government consisting of the SPD, Greens and FDP (scalometer); knowledge of the top candidates of the CDU, the SPD and the Greens for the office of Minister President; likability scalometer for selected top politicians (Daniel Günther, Robert Habeck, Monika Heinold, Thomas Losse-Müller, Friedrich Merz and Olaf Scholz); party liked best and second best; policy interest; preference for Daniel Günther or Thomas Losse-Müller as prime minister; comparison of the credibility, likeability and expertise of the top candidates Daniel Günther, Thomas Losse-Müller and Monika Heinold; assessment of the federal state´s economic situation in general and in comparison with the other western German states; assessment of personal economic situation; most competent party for solving economic problems in the federal state, split A: in the areas of school and education policy, transport policy, energy policy and on the issue of Corona (end of split A); split B: Most competent party in Schleswig-Holstein for solving problems in the housing market, in the areas of climate protection, social justice, and better infrastructure in the areas of fast Internet, local public transport, medical care and shopping facilities (end of Split B); opinion on the future viability of the federal state; most competent party for solving future problems in the federal state; assessment of the work of Minister President Daniel Günther; agreement with selected statements on politics in Schleswig-Holstein Split A:The CDU´s good performance in Schleswig-Holstein is primarily due to the prime minister (end of Split A); Split B: Everything is going so well in Schleswig-Holstein that not much needs to change politically (end split B); CDU Chairman Friedrich Merz helpful or harmful to the CDU´s performance in the state election in Schleswig-Holstein; Chancellor Olaf Scholz of the SPD helpful or harmful to the SPD´s performance in the state election in Schleswig-Holstein; assessment of the elimination of most corona protection measures; opinion on the speed of renewable energy expansion in Schleswig-Holstein; opinion on the number of onshore wind turbines in Schleswig-Holstein; assessment of the German government´s work on the war in Ukraine; assessment of Chancellor Olaf Scholz´s work on the Ukraine crisis; Schleswig-Holstein can cope with many war refugees from Ukraine.

Demography: sex; age (classified); highest school degree or degree attended; college degree; occupation; assessment of own job security; occupational status; elementary, middle, high, or managerial occupation; membership in elementary, middle, high, or managerial service; household size; number of persons in household aged 16 years or older; union member in household; religious denomination; churchgoing frequency; party affiliation; party identification; city size.

Additionally coded were: Questionnaire number; weighting factor.