Skiftande värderingar i det svenska politiska landskapet över tid. : En kvantitativ studie av sambandet mellan värderingar och placeringen på politiska vänster-högerskalan i Sverige

The purpose of this study is to increase knowledge about which factors affect individuals' placement on the political left-right scale in Sweden, and whether the importance of these factors has changed over time, during the period 2002-2023. The study specifically examines how socioeconomic values, such as attitudes to redistribution, and socio-cultural values, such as attitudes to immigration, affect how individuals place themselves on the political left-right scale. The empirical material is based on data from the European Social Survey (ESS). We analyze these relationships over time and further examine potential gender differences in the correlations. The results show a change in the underlying dimensions of the political left-right scale in Sweden over time, with new issues, specifically socio-cultural values related to immigration, being increasingly integrated into the traditional left-right-scale. Over the entire time period, socioeconomic values have a consistent and relatively strong impact on how individuals place themselves on the political left-right scale, but sociocultural values appear to constitute an additional ideological dimension that has become increasingly important for peoples’ self-placement on the left-right scale in Sweden.

Institutions

Publication Details

Journal
DiVA at Umeå University (Umeå University)
Published
2025-01-01
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Skiftande värderingar i det svenska politiska landskapet över tid. : En kvantitativ studie av sambandet mellan värderingar och placeringen på politiska vänster-högerskalan i Sverige

DiVA at Umeå University (Umeå University)
Gene expression and cancer classification
article

Skiftande värderingar i det svenska politiska landskapet över tid. : En kvantitativ studie av sambandet mellan värderingar och placeringen på politiska vänster-högerskalan i Sverige

article en

Abstract

The purpose of this study is to increase knowledge about which factors affect individuals' placement on the political left-right scale in Sweden, and whether the importance of these factors has changed over time, during the period 2002-2023. The study specifically examines how socioeconomic values, such as attitudes to redistribution, and socio-cultural values, such as attitudes to immigration, affect how individuals place themselves on the political left-right scale. The empirical material is based on data from the European Social Survey (ESS). We analyze these relationships over time and further examine potential gender differences in the correlations. The results show a change in the underlying dimensions of the political left-right scale in Sweden over time, with new issues, specifically socio-cultural values related to immigration, being increasingly integrated into the traditional left-right-scale. Over the entire time period, socioeconomic values have a consistent and relatively strong impact on how individuals place themselves on the political left-right scale, but sociocultural values appear to constitute an additional ideological dimension that has become increasingly important for peoples’ self-placement on the left-right scale in Sweden.

DiVA at Umeå University (Umeå University)
Institution of Engineering and Technology (GB)
Gender equality
Openalex Percentile: Top 50%
Gene expression and cancer classification
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.