CSES Module 4 Full Release

• Main Authors: Lupu, Noam, Oliveros, Virginia, Schiumerini, Luis, Pietsch, Juliet, McAllister, Ian, Bean, Clive, Gibson, Rachel, Kritzinger, Sylvia, Müller, Wolfgang C., Schönbach, Klaus, Meneguello, Rachel, Dobreva, Alina, Fournier, Patrick, Cutler, Fred, Soroka, Stuart, Stolle, Dietlind, Linek, Lukas, Groenlund, Kimmo, Wass, Hanna, Sauger, Nicolas, Wessels, Bernhard, Rattinger, Hans, Roßteutscher, Sigrid, Schmitt-Beck, Rüdiger, Wolf, Christof
• Language: English
• Published: 2018
• Subjects: Argentina; Canada; New Zealand; Norway; Iceland
• Online Access: https://doi.org/10.7804/cses.module4.2018-05-29; https://search.gesis.org/research_data/ZA5182?lang=en; https://search.gesis.org/research_data/ZA5182?lang=de

The module was administered as a post-election interview. The resulting data are provided along with voting, demographic, district and macro variables in a single dataset. CSES Variable Table The list of variables is being provided on the CSES Website to help in understanding what content is available from CSES, and to compare the content available in each module. Themes: MICRO-LEVEL DATA: Identification and study administration variables: weighting factors; election type; date of election 1st and 2nd round; study timing (post-election study, pre-election and post-election study, between rounds of majoritarian election); mode of interview; gender of interviewer; date questionnaire administered; primary electoral district of respondent; number of days the interview was conducted after the election; language of questionnaire. Demography: year and month of birth; gender; education; marital status; union membership; union membership of others in household; business association membership, farmers´ association membership; professional association membership; current employment status; main occupation; socio economic status; employment type - public or private; industrial sector; current employment status, occupation, socio economic status, employment type - public or private, and industrial sector of spouse; household income; number of persons in household; number of children in household under the age of 18; number of children in household under the age of 6; attendance at religious services; religiosity; religious denomination; language usually spoken at home; region of residence; race; ethnicity; rural or urban residence; primary electoral district; country of birth; year arrived in current country. Survey variables: perception of public expenditure on health, education, unemployment benefits, defense, old-age pensions, business and industry, police and law enforcement, welfare benefits; perception of improving individual standard of living, state of economy, government’s action on income inequality; respondent ...