FSD3004 Parliamentary Elections 2015: Candidate Responses to YLE Candidate Selector

The dataset is (C) available for research only (including Master's, doctoral and Polytechnic/University of Applied Sciences Master's theses). The dataset may not be used for teaching, study (e.g. seminar papers, essays) or other theses (Bachelor's theses or equivalent).

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Study title

Parliamentary Elections 2015: Candidate Responses to YLE Candidate Selector

Dataset ID Number

FSD3004

Persistent identifier

urn:nbn:fi:fsd:T-FSD3004

Data Type

Quantitative

Authors

  • Finnish Broadcasting Company (YLE)

Abstract

The data consist of responses given by the 2015 Finnish Parliamentary election candidates to YLE (Finland's national public service broadcasting company) candidate selector / voting advice application.

The candidates were asked to what degree they agreed with 32 statements common to all respondents and some statements relevant only to candidates' electoral districts. The themes covered included, among others, social security, cuts to government spending, NATO membership, immigration and refugee policy, health and social services, and climate change. Further statements surveyed views on, for example, compulsory learning of Swedish at school, nuclear power, and tax cuts.

Statements related to the candidates' own electoral district covered, for instance, municipal mergers, notable construction projects, traffic, education, employment, industry, and development of municipal services.

Background variables included, among others, the respondent's age, gender, occupational status, level of education, type of employer, party affiliation, mother tongue, yearly income, religious affiliation, and the amount of money used for campaigning.

Keywords

economic policy; electoral issues; environment policy; foreign policy; parliamentary candidates; parliamentary elections; political behaviour; politicians; regional policy; social policy; voting advice applications

Topic Classification

Series

Individual datasets

Distributor

Finnish Social Science Data Archive

Access

The dataset is (C) available only for research including master's theses.

Data Collector

  • Finnish Broadcasting Company

Time Period Covered

2015

Collection Dates

2015

Nation

Finland

Geographical Coverage

Finland

Analysis/Observation Unit Type

Individual

Universe

Parliamentary candidates in the 2015 parliamentary elections in Finland

Time Method

Cross-section

Sampling Procedure

Total universe/Complete enumeration

Collection Mode

Self-administered questionnaire: Web-based (CAWI)

Research Instrument

Structured questionnaire

Data File Language

Downloaded data package may contain different language versions of the same files.

The data files of this dataset are available in the following languages: English and Finnish.

FSD translates quantitative data into English on request, free of charge. More information on ordering data translation.

Number of Cases and Variables

231 variables and 1998 cases.

Data Version

2.0

Weighting

There are no weight variables in the data.

Citation Requirement

The data and its creators shall be cited in all publications and presentations for which the data have been used. The bibliographic citation may be in the form suggested by the archive or in the form required by the publication.

Bibliographical Citation

Finnish Broadcasting Company (YLE): Parliamentary Elections 2015: Candidate Responses to YLE Candidate Selector [dataset]. Version 2.0 (2018-01-31). Finnish Social Science Data Archive [distributor]. https://urn.fi/urn:nbn:fi:fsd:T-FSD3004

Deposit Requirement

Notify FSD of all publications where you have used the data by sending the citation information to user-services.fsd@tuni.fi.

Disclaimer

The original data creators and the archive bear no responsibility for any results or interpretations arising from the reuse of the data.

Related Publications Tooltip

Tromborg, Mathias W. "Appealing broadly while appearing unified: Resolving an electoral dilemma". European Journal of Political Research 60(1): 131-152.

Study description in machine readable DDI-C 2.5 format

Creative Commons License
Metadata record is licensed under a Creative Commons Attribution 4.0 International license.