five

State Election in the Saarland 1985

收藏
CESSDA2023-03-14 更新2024-08-03 收录
下载链接:
https://datacatalogue.cessda.eu/detail/cf9875596179d71181d7e94d416e840b843a30d8b2c0608296d66561eb776c12/?lang=en
下载链接
链接失效反馈
官方服务:
资源简介:
Judgement on parties and politicians. Topics: intent to participate in the election for state or Federal Parliament; change in party voted for; party preference (Sunday question, ballot as well as rank order procedure) for state or Federal Parliament election; certainty of voting decision; behavior at the polls in the last state or Federal Parliament election; sympathy scale for the parties at the state level; satisfaction with the government coalition or opposition; satisfaction with top candidates of one´s preferred party; sympathy scale for leading state politicians; assumed probability as well as attitude to the FDP or the Greens taking seats in state parliament; attitude to an absolute majority for one party; preferred government coalition and preferred prime minister; issue relevance and issue ability of the parties and possible coalitions regarding selected political problems; assessment of economic situation in the Saarland; ability of state or Federal Government or parties to improve the economic situation of the state; preferred conduct of the SPD or the Greens in view of a government coalition; judgement on election campaign activities of party supporters; assumed election winner; personal unemployment or unemployed in household. Demography: age; sex; marital status; religious denomination; frequency of church attendance; school education; occupational position; employment; size of household; composition of household; respondent is head of household; characteristics of head of household; party inclination; party identification; social origins; union membership. Interviewer rating: city reference number; place of work; date of interview.
提供机构:
GESIS Data Archive for the Social Sciences
创建时间:
2012-02-27
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作