Developing a Valid and Reliable Gender Analysis Tool Applied in Disaster Management: A Community-Based Survey.

Area of Science:

• Disaster Management
• Sociology
• Public Health

Background:

• Gender roles and responsibilities are assigned in all societal contexts.
• Understanding gender-based differences is crucial for identifying populations at higher risk during disasters.
• Effective disaster response requires gender-disaggregated data.

Purpose of the Study:

• To develop a valid and reliable gender analysis tool.
• To facilitate the collection of accurate gender-disaggregated information in disaster-affected regions.
• To support gender-sensitive disaster risk assessment.

Main Methods:

• A mixed-methods approach combining qualitative and quantitative studies.
• Qualitative stage: Interviews with 20 disaster-affected individuals and 10 key informants.
• Quantitative stage: Validity and reliability testing with experts and community members in disaster-affected villages.
• Data analysis using the Graneheim approach and SPSS software.

Main Results:

• The developed gender analysis tool demonstrated strong validity (Content Validity Ratio=0.69, Content Validity Index=0.88).
• The tool exhibited high reliability (Cronbach's alpha=0.75, test-retest=0.83).
• Seven key categories were identified: livelihood, social status, health, household management, reconstruction, welfare/educational facilities, and disaster prevention.

Conclusions:

• The gender analysis tool is validated and reliable for post-disaster surveys.
• It is highly recommended for integration into future disaster management plans, programs, and health system policies.
• Utilizing this tool can enhance gender-responsive disaster preparedness and response.