Affective Polarization Measurement Data for Political Psychology

Harvard Dataverse hosts replication data for the paper 'Measuring Affective Polarization: Matching Concepts to Measures' by Matthew Levendusky. The dataset supports analyses published in Advances in Political Psychology. Specific details on row count, column names, and file formats are unavailable.

Use Cases

• Replicate the paper's analyses on affective polarization measurement using the provided data and code.
• Examine the relationship between conceptual definitions and empirical measures of affective polarization as discussed in the source paper.
• Utilize the data to validate or extend methodological approaches for measuring partisan animosity.
• Apply the dataset in comparative studies of political polarization measurement techniques.

Strengths

• Data is directly linked to a peer-reviewed publication in Advances in Political Psychology.
• Authored by a recognized researcher, Matthew Levendusky, and hosted by the authoritative Harvard Dataverse repository.
• Dataset was last updated on January 18, 2026, indicating recent maintenance.

Limitations

• Critical metadata such as row count, column names, and sample data are unavailable, hindering preliminary assessment.
• The scope and representativeness of the data are unclear without details on time range, geography, or sample size.
• Lack of information on file formats and data structure may complicate immediate usability.

Provenance

Source

Harvard Dataverse, authored by Matthew Levendusky.

Collection Method

Replication data and code for a published academic paper.

Freshness

Last updated on 2026-01-18.