Responsibility Attribution for Supreme Court Decisionmaking and Dobbs

Replication data for a study on responsibility attribution for Supreme Court decisionmaking, focusing on politicization, partisanship, and the Dobbs decision. The dataset was authored by Robin Bayes and is hosted by the Journal of Law and Courts Dataverse. The last update was recorded on March 24, 2026.

Use Cases

• Analyze responsibility attribution patterns related to the Supreme Court's Dobbs decision using case-specific variables.
• Examine the relationship between politicization and partisanship metrics within the study's survey or experimental data.
• Replicate statistical models from the original research on Supreme Court decisionmaking.

Strengths

• Data is directly linked to a peer-reviewed study published in the Journal of Law and Courts.
• The dataset was last updated in March 2026, indicating recent maintenance.

Limitations

• No column names, sample data, or row counts are available to assess structure and scale.
• The dataset's specific variables, measurement methods, and temporal coverage are not described.

Provenance

Source

Journal of Law and Courts Dataverse

Collection Method

Replication data for an academic study.

Freshness

Last updated on 2026-03-24.