Psychometric properties of the earthquake knowledge questionnaire: Development for the Persian population

This study successfully developed and validated a 14-item EKQ. The scale was organized into three distinct factors: Geological knowledge, Mitigation measures, and preparedness knowledge, which collectively accounted for 83.6% of the total variance, demonstrating strong explanatory power. The use of polychoric correlation matrices, parallel analysis, and principal axis factoring (PAF) improved the factor extraction process by appropriately accounting for the ordinal nature of the questionnaire data. Model fit indices, including RMSEA and TLI, indicated an acceptable to good fit of the scale to the data. Additionally, the scale demonstrated acceptable reliability, as evidenced by internal consistency measures, McDonald's omega, and test-retest reliability. The study's EKQ makes a significant contribution to earthquake education by providing a validated tool to assess public awareness across geological knowledge, mitigation strategies, and preparedness knowledge, aligning with UNDRR guidelines. Further research is recommended to confirm its generalizability across diverse populations and contexts.

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Publication Details

Journal
PLoS ONE
Published
2025-10-09
DOI
https://doi.org/10.1371/journal.pone.0331764
Citations
3
Primary Topic
Disaster Management and Resilience
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article
Field-Weighted Citation Impact
12.60
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article

Psychometric properties of the earthquake knowledge questionnaire: Development for the Persian population

Neda Gilani, Leila Jahangiry, Javad Babaei, Mitra Baghaeian et al.
3 citations
PLoS ONE
Disaster Management and Resilience
12.60
article

Psychometric properties of the earthquake knowledge questionnaire: Development for the Persian population

Neda Gilani, Leila Jahangiry, Javad Babaei, Mitra Baghaeian, Hosna RashidiBirgani
article en
3 citations

Abstract

This study successfully developed and validated a 14-item EKQ. The scale was organized into three distinct factors: Geological knowledge, Mitigation measures, and preparedness knowledge, which collectively accounted for 83.6% of the total variance, demonstrating strong explanatory power. The use of polychoric correlation matrices, parallel analysis, and principal axis factoring (PAF) improved the factor extraction process by appropriately accounting for the ordinal nature of the questionnaire data. Model fit indices, including RMSEA and TLI, indicated an acceptable to good fit of the scale to the data. Additionally, the scale demonstrated acceptable reliability, as evidenced by internal consistency measures, McDonald's omega, and test-retest reliability. The study's EKQ makes a significant contribution to earthquake education by providing a validated tool to assess public awareness across geological knowledge, mitigation strategies, and preparedness knowledge, aligning with UNDRR guidelines. Further research is recommended to confirm its generalizability across diverse populations and contexts.

PLoS ONEVol. 20(10)
Tabriz University of Medical Sciences (IR)
Openalex Percentile: Top 2%
Disaster Management and Resilience
12.60
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Psychometric properties of the earthquake knowledge questionnaire: Development for the Persian population — Neda Gilani, Leila Jahangiry, et al. · PLoS ONE (2025) | TGRS Research Map | TGRS