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Predicting potential underreporting of firearm ownership in a nationally representative sample
Allison E Bond1,2, Aleksandr T Karnick3, Daniel W Capron3
1The New Jersey Gun Violence Research Center, Rutgers University, Newark, USA. ab2242@psych.rutgers.edu.
Researchers identified subgroups of individuals who may underreport firearm ownership. This finding aids in understanding firearm ownership and targeting safety messages for injury prevention.
Area of Science:
- Public Health
- Epidemiology
- Social Science
Background:
- Accurate firearm ownership data is crucial for public health initiatives.
- Underreporting of firearm ownership can skew research findings and intervention strategies.
- Understanding demographic and intrapersonal factors associated with firearm ownership is essential.
Purpose of the Study:
- To identify demographic and intrapersonal variables associated with underreporting firearm ownership.
- To determine if individuals who underreport firearm ownership can be classified into distinct subgroups.
- To improve the accuracy of firearm ownership estimates in the United States.
Main Methods:
- Utilized Zero-Inflated Negative Binomial (ZINB) regression to model firearm ownership underreporting.
- Employed latent class analysis to identify subgroups among individuals who underreported ownership.
- Matched participant data (N=3500) to 2010 US census data for demographic variables.
Main Results:
- Identified 1306 participants (37.3%) as underreporting firearm ownership.
- Latent class analysis revealed three distinct subgroups within the underreporting population.
- Demographic and intrapersonal variables were significant predictors of firearm ownership underreporting.
Conclusions:
- Identifying individuals who underreport firearm ownership enhances understanding of US firearm demographics.
- Findings enable more targeted safe storage messaging to at-risk firearm owners.
- Improved accuracy in firearm ownership data can lead to more effective injury prevention strategies.
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