Quarterly Journal of Political Science > Vol 18 > Issue 1

A Gap in Our Understanding? Reconsidering the Evidence for Partisan Knowledge Gaps

Carolyn E. Roush, Florida State University, USA, croush@fsu.edu , Gaurav Sood, Independent Researcher, USA, gsood07@gmail.com
 
Suggested Citation
Carolyn E. Roush and Gaurav Sood (2023), "A Gap in Our Understanding? Reconsidering the Evidence for Partisan Knowledge Gaps", Quarterly Journal of Political Science: Vol. 18: No. 1, pp 131-151. http://dx.doi.org/10.1561/100.00020178

Publication Date: 01 Feb 2023
© 2023 C. E. Roush and G. Sood
 
Subjects
 
Keywords
Measurement error in survey datapolitical psychologybiasesheuristicspublic opinion
 

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In this article:
Partisan Learning and Political Knowledge 
Data and Research Design 
Partisan Knowledge Gaps in Context 
Explaining Variation in Knowledge Gaps 
Discussion and Conclusion 
References 

Abstract

Conventional wisdom suggests large, persistent gaps between partisans' stores of political knowledge, fanning concerns about democratic accountability. We reconsider the frequency and size of these “partisan knowledge gaps,” assembling a dataset of 162,083 responses to 187 items on 47 surveys. We find these gaps are smaller and less frequent than commonly understood; the average is a mere six and a half percentage points and gaps' “signs” run counter to expectations roughly 30\% of the time. Additionally, while most question features fail to predict gap size, we find that questions featuring vague response options allow individuals to interpret potential answers through their own biases, inflating gaps' magnitudes. Our findings suggest that knowledge gaps — when they do exist — stem more from motivated responding than genuine differences in factual knowledge.

DOI:10.1561/100.00020178

Online Appendix | 100.00020178_app.pdf

This is the article's accompanying appendix.

DOI: 10.1561/100.00020178_app

Replication Data | 100.00020178_supp.zip (ZIP).

This file contains the data that is required to replicate the data on your own system.

DOI: 10.1561/100.00020178_supp