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The Comparative Study of Electoral Systems (CSES) project is pleased to announce the Third Advance Release of the CSES Module 5 dataset. You may download the dataset and accompanying documentation from the Data Center on the CSES website (www.cses.org). In addition, a non-comprehensive list of changes since the prior Advance Release appears on the Errata page for CSES Module 5 in the Data Center.

The core objective of CSES Module 5 is to tap citizens’ attitudes towards political elites, majority rule, and out-groups. The module will allow researchers to account for variation in the contestation of political elites and ‘populist’ attitudes across polities, examine how such perceptions shape citizens’ electoral behavior, and explore the relationship between the rise of populist parties and the distribution of populist attitudes cross-nationally.

This Third Advance Release contains 55,515 respondents from 31 election studies covering 28 polities. Ten new election studies appear in the file: Belgium-Flanders (2019), Belgium-Wallonia (2019), Canada (2019), Costa Rica (2018), Finland (2019), Great Britain (2017), Portugal (2019), Sweden (2018), Switzerland (2019), and Taiwan (2020).

This Third Advance Release also includes several innovations and additions:
– A suite of derivative variables including pre-coded vote choice for left/right, vote choice by ideological family, and turnout and vote switching variables
– A series of bridging variables facilitating easy linking of CSES Module 5 data with the Manifesto Project Database (MARPOR/CMP) and ParlGov Database
– Variables enabling users to merge CSES Module 5 data easily with the CSES Integrated Module Dataset (IMD)

An Advance Release is a preliminary version of a dataset. It thus lacks some of the checking, cleaning, processing, documentation, data, and variables that are usual to the Full Release of a dataset. As a result, many election studies that will eventually be present in the CSES Module 5 Full Release are not available in this file. Advance Releases are provided as a service to the CSES user community for those analysts who find it valuable to work with preliminary versions of the dataset. We would appreciate being notified of any errors in the dataset or documentation by email to: cses@umich.edu

We hope that until the Full Release of CSES Module 5 is available, users will find this and future CSES Module 5 Advance Releases to be helpful in their work.

Thank you for your support of the CSES project.

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