five

Danish Gallup Omnibus Data 1970, Omnibus no. 10

收藏
CESSDA2019-06-11 更新2024-07-27 收录
下载链接:
https://datacatalogue.cessda.eu/detail?lang=en&q=3f4f1ebe65ebaf5e5cc10129aedafa9b4941608d968ff57229f51be717e8ba79
下载链接
链接失效反馈
官方服务:
资源简介:
Danish Gallup Omnibus Data 1970 comprises 11 omnibus surveys carried out by the Danish Gallup Institute in the months from May to December in 1970. This data material contains information from omnibus no. 10. # #Each survey contains a number of demographic variables common to all the surveys of that year, as well as a number of questions dealing with topical events. # # #The questions common to the 1970 omnibuses are; degree of urbani- zation; sex; age; marital status; number of persons in household (children/adults, over/under 15); occupational status of head of household; total income of family; the respondent's occupational status; the respondent's educational status; the respondent's income; position in household of respondent and spouse; occupa- tional status of housewife; social class; type of dwelling; and party preference. # #The special questions in this omnibus deal with the following issues: # #Attitudes to the youth revolt; reduced working hours versus higher wages; attitudes to the view that the cost of an improved economic situation is a certain degree of unemployment; important political problems which must be solved (housing/economy/pollution/traffic/ social welfare/health service/development aid); the possibility of a non-Socialist government after the next general election; knowledge of and attitudes to hashish; drugs (morphine /heroin) versus hashish; attitudes to the legalization of hashish; attitudes to Denmark's membership of NATO; Danish membership of the EC (provided that Great Britain joins the EC simultaneously); attitudes to the UN and to a UN peacekeeping force of 100,000 soldiers; and attitudes to the Government's economic policy
提供机构:
Danish Data Archive
创建时间:
1990-04-01
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