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Diffuse Support, Partisanship, and the Electoral Relevance of the Supreme Court

Published online by Cambridge University Press:  14 March 2024

Nicholas T. Davis
Affiliation:
Department of Political Science, University of Alabama, Tuscaloosa, AL, USA
Matthew P. Hitt*
Affiliation:
Department of Political Science, Colorado State University, Fort Collins, CO, USA
*
Corresponding author: Matthew P. Hitt; Email: matthew.hitt@colostate.edu
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Abstract

Despite the Supreme Court’s lack of direct electoral accountability, voters may factor its outputs into their voting decisions because elected representatives can affect the Court’s powers and composition. In this paper, we uncover an ironic predicament that faces candidates running on reforming this institution. Citizens who possess higher levels of diffuse support for the Court are more likely to rank it as an important factor in their voting logic. But because this diffuse support has sorted along partisan lines, candidate messaging about reform may not motivate partisans who have lost support for the Court because they view it as less important than other pressing issues. Thus, although Democrats are sympathetic to reform, Democratic candidates may have weak incentives to promote reform given low levels of diffuse support among their constituents. This dynamic mitigates against the possibility of a public or congressional backlash against the Court, preserving the status quo.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of the Law and Courts Organized Section of the American Political Science Association
Figure 0

Figure 1. Subject issue priorities for vote choice.Notes: Subjects were asked to rank the issues above in terms of their importance to their vote choice. Point estimates reflect the cumulative importance of each issue; values were rescaled to range from one to seven. Lower (higher) values convey that those subjects viewed the respective issue to be more (less) important. We break these ratings down by partisanship in the appendix and find some differences: Republicans rate taxes as an extremely important concern, while Democrats rate abortion as a pressing matter; while the Supreme Court is dead last among Republicans, its ranking is roughly the second from the bottom (approximately tied with taxes and education).

Figure 1

Figure 2. The correlates of ranking the Supreme Court in the voting calculus.Notes: Figure displays coefficient estimates from model of Court ranking. Corresponding point estimates convey the marginal effect of moving from minimum (0) to maximum value (1) on given variable entry along y-axis, bracketed by 95% confidence intervals. For race, “white” is excluded category; “don’t know” is excluded category for ideological identification. “Democratic” identification is the excluded category for partisanship.

Figure 2

Figure 3. Perceived candidate ideology.Notes: Partisan subjects were block randomized to read about an in-group candidate running for legislative office during the 2022 midterm elections who communicated (1) nothing about the Supreme Court, (2) support for, or (3) opposition to reform (i.e., term limits). Subjects who identified as “pure” Independents were block randomized to read about a Republican or Democratic candidate in those same positions (for presentational purposes, these participants are excluded from the analysis in the figure). Point estimates convey the mean rating of the candidate’s ideology on liberal-conservative scale and are bracketed by 95% confidence intervals.

Figure 3

Figure 4. Perceived candidate strength.Notes: Point estimates convey mean perceived strength rating of a subject’s in-party candidate ranging from 1 “not at all strong” to 4 “very strong” and are bracketed by 95% confidence intervals. Subjects who identified as “pure” independents were randomly assigned to party candidates and are not depicted here.

Figure 4

Figure 5. Diffuse support among respondents.Notes: Diffuse support is measured using the Gibson, Caldeira, and Spence (2003) measurement approach. Distribution of diffuse support in each panel is broken out by respondent partisanship (or lack thereof). Smaller values convey less diffuse support; larger values convey higher diffuse support. Full details regarding the measurement of diffuse support can be obtained in Appendix A.

Figure 5

Figure 6. Candidate support conditional upon treatment assignment, subject partisanship, and diffuse support.Notes: Outcome is perceived candidate strength. Scores for subjects were calculated using a three-way interaction among partisanship, treatment (pro-/anti-reform), and diffuse support. Shaded bands bracketing solid- (pro-reform) and dotted lines (anti-reform) represent 95 percent confidence intervals. A histogram visualizing the distribution of diffuse support scores for subjects with a given panel have been superimposed along the x-axis.

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