selects2015: Swiss Electoral Studies (Selects) 2015 - Post-electoral study

In benjaminschlegel/glm.predict: Predicted Values and Discrete Changes for Regression Models

Swiss Electoral Studies (Selects) 2015 - Post-electoral study

Description

A simplified dataset of the Selects 2015 data. Selects 2015 was conducted after the elections to the national council in Switzerland on October 2015.

Usage

selects2015

Format

A data frame with 5337 rows and 15 variables:

gender

the gender of the participant

age

the age of the participant

canton

the canton where the participant lives

education

the highest education of the participant

participation

Indicates if the participant participated in the national election or not

vote_choice

The party the participant mainly voted for: SVP, FDP, CVP, SP, GPS, GLP, BDP, other

political_interest

political interest of the participant, self declaration

lr_self

left right self placement

lr_SVP

left right placement of SVP

lr_FDP

left right placement of FDP

lr_CVP

left right placement of CVP

lr_SP

left right placement of SP

lr_GPS

left right placement of GPS

lr_GLP

left right placement of GLP

lr_BDP

left right placement of BDP

knowscale

political knowledge scale between 0 and 4

opinion_social_expenses

opinion about social expense

opinion_eu_membership

opinion if Switzerland should join the EU

opinion_foreigners_swiss_equal

opinion if foreigners should be treated equal to Swiss

opinion_environment_economy

opinion if environment or economy is more important

opinion_nuclear_energy

opinion on nuclear energy

opinion_high_income_taxes

opinion on high income taxes

weight_total

A weight to make the survey representative (design weight * turnout * vote_choice)

Source

Selects: Post-electoral study - 2015 [Dataset]. Distributed by FORS, Lausanne, 2016. https://forscenter.ch/projects/selects/ \Sexpr[results=rd]{tools:::Rd_expr_doi("10.23662/FORS-DS-726-5")}

benjaminschlegel/glm.predict documentation built on March 18, 2024, 6:46 a.m.