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Hidden in Plain Sight: Questions for the Record in Lower Court Confirmations

Published online by Cambridge University Press:  17 April 2026

Morrgan T. Herlihy*
Affiliation:
Department of Political Science, The Pennsylvania State University , State College, PA, USA
*
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Abstract

Senatorial scrutiny of judicial nominees has long centered on the role of confirmation hearings in advice and consent, but senators draw on multiple sources of information when evaluating nominees for lifetime appointments to the federal bench. Questions for the Record (QFRs) – written questions submitted to nominees after the conclusion of their hearings – are a common yet understudied component of the Judiciary Committee’s vetting process. I analyze the use of QFRs for all Circuit Court of Appeals nominees from 2001 to 2022, finding that partisan differences between the nominating president and senator strongly structure who submits them, while interest group opposition to a nominee, though significant, plays a more modest role than it does in senators’ question-asking behavior during confirmation hearings. Moreover, senators’ use of QFRs has increased substantially in recent sessions of Congress, especially following reforms to the filibuster in 2013. These findings suggest that QFRs are not simply an extension of hearing questions. Instead, they serve their own vetting functions for Committee senators, particularly for outpartisans, those highly engaged in the process, and when time constraints may limit other means of vetting.

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), 2026. Published by Cambridge University Press on behalf of the Law and Courts Organized Section of the American Political Science Association
Figure 0

Table 1. Excerpt from Questions for the Record submitted by Senator Dianne Feinstein (D-CA) to Kyle Duncan during his nomination to the U.S. Court of Appeals for the Fifth Circuit (Feinstein 2017)

Figure 1

Table 2. This table shows the descriptive statistics of the variables included in the QFR analysis. Before modeling, all continuous variables listed in the table are standardized and the logged value of Days to Hearing is also used due to its skewness

Figure 2

Figure 1. This figure shows the average total number of QFRs a senator submits to a nominee from the 107th (2001–2002) through the 117th (2021–2022) session of Congress.

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Figure 2. This figure shows the distribution of nominees by the number of senators submitting written questions during the committee process. A plurality of nominees – just over 14% – received QFRs from 2 senators, while only about 1% received questions from 11 members of the Committee.

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Figure 3. These boxplots show the distribution of QFR submissions across (A) unified and divided government and (B) senator–president partisanship.

Figure 5

Figure 4. This boxplot shows the distribution of QFR submissions based on interest group opposition to the nominee.

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Table 3. Results from the negative binomial regression model. Cell entries present regression estimates, with clustered standard errors reported in parentheses below the estimates. All continuous variables are standardized, and the logged value of Days to Hearing is used due to the variable’s skewness. Coefficients for Senators are listed in Appendix C. *p<0.05; **p<0.01; ***p<0.001.

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Figure 5. This figure shows the predicted count of QFRs a senator will submit to a nominee based on (A) Outparty coefficient and (B) Interest Group Opposition coefficients in Model 1. Vertical lines around the estimates show 95% confidence intervals. All continuous variables are standardized and held at their means, with categorical variables held at their modes.

Figure 8

Figure 6. This figure shows the percent change in QFRs associated with a one-unit increase for each variable. Horizontal lines around the estimates show 95% confidence intervals. Point estimates and confidence intervals for significant percent changes are indicated in black. All continuous variables are held at their means, with categorical variables held at their modes.

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