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Cognitive Interview Validation of a Novel Household Hazard Vulnerability Assessment Instrument
Taryn Amberson1,2,3, Olive Ndayishimiye4, Quanah Yellow Cloud1,5
1Contractor to Castner Incorporated, Grand Island, NY, USA.
This study developed a new survey to assess household vulnerability to disasters, identifying potential racial biases in data collection and item interpretation. Findings can improve disaster research and assessments for individuals and households.
Area of Science:
- Environmental Science
- Public Health
- Sociology
Background:
- Weather and climate disasters cause significant US deaths, morbidity, and economic costs.
- Profound racial disparities exist in disaster impacts and vulnerability.
Purpose of the Study:
- To develop and validate a novel survey instrument for household hazard vulnerability.
- To address and identify racial bias in disaster data collection and survey item interpretation.
Main Methods:
- Conducted cognitive interviews with transdisciplinary expert panelists from diverse US regions.
- Qualitatively analyzed interview recordings using thematic and pattern coding.
- Oversampled participants with Black and/or African American, biracial, or multiracial identities to prevent representation bias.
Main Results:
- Identified 379 unique instances of linked disaster-related terms.
- Revealed potential racial bias in data collection for specific disaster types (e.g., water dam failure, evacuation).
- Found that some survey items (e.g., radiation exposure, trauma) were not interpreted as intended.
Conclusions:
- Potential for racial bias necessitates revision of survey items for disaster vulnerability assessments.
- Commonalities in cognitive processes can inform future individual and household-level disaster research.
- Addressing racial bias is crucial for equitable disaster preparedness and response.
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