Version:3.0
Release:4.0.0
Availability:available
UniData provides two kind of data access:
- open data
(all users can use the data - an expense allowance could be required) - restricted data
(the data use is limited - see below)
Data Kind:
individual data
Time Dimensions:
longitudinal (trend repeated cross-section)
Series Name:
EB - Eurobarometer
The Eurobarometer survey is designed to provide regular monitoring of public social and political attitudes in the EU through specific trend questions. Therefore, the general aim of EB is to know the attitudes and evaluations of European citizens about large general themes. The questions concern to the European integration issues, but sometimes they regard also specific problem about single country or common problems of economic, political or social nature.
The arguments of Eurobarometer 79.4 are as follows:
- Social climate: satisfaction with life, assessment of and expectations for the personal and the country´s situation in different domains;
- Development Aid;
- Cyber security;
- Public transport;
- Anti-microbial resistance;
- Space technology
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Keywords: health, media, voluntary work, transports, security, politics, values, technology, crime, economy
Topic Classification:
Nations: Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Great Britain, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Northern Ireland, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden
Geographical Unit: size community
Analysis Unit: individual
Universe: whole national population of 15 years and older
Sample Procedure: about 1.000 for each country. Multi-stage stratified random sample
Weight: Weight used. Please read the documentation for any details
Collection Mode: face to face interview, Computer-Assisted Personal Interviewing (CAPI)
Collection Size: UniData supplies: 1 dataset in SPSS format; 1 dataset in Stata format; 1 file SPSS syntax for missing data; 2 questionnaires (ita and eng) in Pdf format; 1 methodological notes and codebook in PDF format (eng) (6 file)
Documentation:
| Methodological Notes and codebook (pdf): |
|
| DDI Documentation: |  |
Data Use Restriction:
UniData – official representative for the dissemination of Eurobarometer surveys in Italy – provides a free data access for all Italian residents upon registration. Data are released in according to GESIS Licence (Category 0), available at this link. Other users will need to contact the GESIS Data Archive.
Source Contact: Meinhard Moschner - GESIS
Citation:
European Commission. (2013) Eurobarometer 79.4: Social Climate, development aid, cyber security, transport, health and technology. TNS Opinion & Social [Producer]. GESIS - Leibniz Institute for the Social Sciences [Producer]. UniData - Bicocca Data Archive, Milan. Study Number SI325. Data file version 3.0
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The user is obliged to quote all data and documents disseminated by UniData and used in the own publications, using the information previously showed. The user is also obliged to send UniData the bibliographic citations related to the publications where the requested data and documents are used.
Disclaimer:
Neither the depositor nor UniData bear any responsibility for the analysis or interpretation of the data produced by the user.
Topical module QA (Social climate) replicates questions asked in the context of Eurobarometer 77.4 (QB) and 73.5 (QB).
Topical module QB (Development aid) partly replicates the corresponding module in Eurobarometer 77.4 (QA).
Topical module QC (Cyber security) largely replicates the corresponding module in Eurobarometer 77.2 (QE).
Topical module QE (Anti-microbial resistance) replicates the corresponding module in Eurobarometer 72.5 (QD).
Variable d62t has been renamed d62t1.
The standard NETUSE index has been renamed d62t2.
Variable d40abc has been renamed d40t and modified.
Variable qe3ab_t has been renamed qe3b_t and modified.
Weights W15 (WEIGHT EU AC2 + CC1) and W19 (WEIGHT EU CC) were not coded in the original data delivery and have been dropped from the dataset.