FIND DATA: By Author | Journal | Sites   ANALYZE DATA: Help with R | SPSS | Stata | Excel   WHAT'S NEW? US Politics | Int'l Relations | Law & Courts
   FIND DATA: By Author | Journal | Sites   WHAT'S NEW? US Politics | IR | Law & Courts
If this link is broken, please report as broken. You can also submit updates (will be reviewed).
Insights from the Field

Tracking European Support Across Nations: A New Consistent Indicator


Public Opinion
Comparative Research
European Integration
Countries
European Politics
BJPS
1 Other
Dataverse
Measuring Public Support for European Integration Across Time and Countries: the ‘European Mood’ Indicator was authored by Isabelle Guinaudeau and Tinette Schnatterer. It was published by Cambridge in BJPS in 2019.

Public support for EU integration has been challenging to measure consistently across countries and time. This dataset introduces a novel solution - the 'European Mood' indicator, built using the dyad ratios algorithm derived from James Stimson's public mood method.

Methodology

The approach synthesizes diverse polling data into a coherent metric that accurately captures cross-national variations in EU approval while mitigating issues caused by inconsistent survey designs or methodologies.

Key Features

* Computed bi-annually for each European Union member state from 1973 to 2014

* Explicitly addresses the problem of heterogeneous polling data sources

* Provides standard errors for statistical analysis and confidence in findings

This unique resource offers researchers a powerful tool. It enables robust longitudinal tracking of public sentiment towards Europe and facilitates direct cross-country comparisons spanning decades, enhancing understanding of European political dynamics.

data
Find on Google Scholar
Find on JSTOR
Find on CUP
Podcast host Ryan