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.
Authors
- David McDowall (ORCID: https://orcid.org/0000-0002-2252-0432)
- Sishi Wu (ORCID: https://orcid.org/0000-0002-0258-3903)
Institutions
- Albany State University (US)
- University at Albany, State University of New York (US)
- California State University, San Bernardino (US)
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
- 0.00