Measuring State-Level Death Penalty Opinion: A Research Note

This study compares two approaches to estimating state-level death penalty opinion. One of these, survey pooling, is relatively simple, and the other, multilevel regression and post-stratification (MRP) is considerably more involved. Using General Social Survey (GSS) geocoded data, we estimate state-level support for the death penalty using survey pooling and MRP. The estimates are then compared with available probability-based state-level polls. We find that the survey pooling estimates are generally closer to the state-level polls than are the MRP estimates. MRP consistently underestimate the level of death penalty support when compared to the state-level polls, but this is not the case with the survey pooling method. Researchers should carefully consider the data context and benchmark when choosing between these methods.

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Publication Details

Journal
Crime & Delinquency
Published
2025-09-15
DOI
https://doi.org/10.1177/00111287251368353
Primary Topic
Criminal Justice and Corrections Analysis
Type
article
Field-Weighted Citation Impact
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article

Measuring State-Level Death Penalty Opinion: A Research Note

David McDowall, Sishi Wu
Crime & Delinquency
Criminal Justice and Corrections Analysis
article

Measuring State-Level Death Penalty Opinion: A Research Note

David McDowall, Sishi Wu
article en

Abstract

This study compares two approaches to estimating state-level death penalty opinion. One of these, survey pooling, is relatively simple, and the other, multilevel regression and post-stratification (MRP) is considerably more involved. Using General Social Survey (GSS) geocoded data, we estimate state-level support for the death penalty using survey pooling and MRP. The estimates are then compared with available probability-based state-level polls. We find that the survey pooling estimates are generally closer to the state-level polls than are the MRP estimates. MRP consistently underestimate the level of death penalty support when compared to the state-level polls, but this is not the case with the survey pooling method. Researchers should carefully consider the data context and benchmark when choosing between these methods.

Crime & Delinquency
Albany State University (US), University at Albany, State University of New York (US), California State University, San Bernardino (US)
Openalex Percentile: Top 67%
Criminal Justice and Corrections Analysis
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