CSES Polarization Index
Description
Dalton (2008) proposes the Polarization Index, which measures ideological polarization among parties based on CSES respondents’ placement of parties on a left-right scale. It is the most widely used measure of ideological polarization and can also be used to measure ideological polarization at the mass level (see Reiljan (2020)).
Operationalization
The Polarization Index can be calculated as follows. First, the party positions are calculated as an average of the left-right scores assigned to parties by respondents, and then the polarization index is calculated using the following formula:
$$PI_k = \sqrt{V_{jk} (\frac{P_{jk}-\bar{P_k}}{5})^2 }$$ where $P_{jk}$ is the left-right position of party $j$ in a country-year sample $k$ and $\bar{P_k}$ is the average position of all parties considered. $V_{jk}$ is the vote share of party $P_{jk}$.
polaR
# Import Data
cses_imd <- polaR_import(source = "cses_imd",
path = "path/to/dataset.dta")
# Compute Measure
cses_imd <- cpi(cses_imd)
Visualization
Use cases
Publications that use this measure:
Title | Authors |
---|---|
The Activists Who Divide Us | Amitai (2023) |
Cleavage politics, polarisation and participation in Western Europe | Borbáth et al. (2023) |
Missing Links in Party-System Polarisation | Curini and Hino (2012) |
Ideological Polarization and Far-Right Parties in Europe | Dalton and Berning (2022) |
Modeling ideological polarisation in democratic party systems | Dalton (2021) |
The Quantity and the Quality of Party Systems | Dalton (2008) |
Electoral Rule Disproportionality and Platform Polarisation | Matakos et al. (2016) |
Party-System Polarization and Individual Perceptions of Party Differences | Rossteutscher and Stövsand (2024) |
Conflict or choice? The differential effects of elite incivility and ideological polarization on political support | van Elsas and Fiselier (2023) |