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This study explains how qualitative content analysis was applied to investigate natural hazards in textbooks for children with intellectual disabilities in Iran. Qualitative content analysis of textbooks is one of the ways for understanding the priorities of Iranian education system with regard to natural hazards. Data samples included whole textbooks for children with intellectual disabilities in all grades during school year 2020-2021 in Iran. Data were collected by transferring textbooks to MAXQDA 2018 software and coding themes with the software. A narrative format was used for analyzing qualitative data. Examples were presented along with tables and quotations in the study. Peer checking and expert check were employed to ensure trustworthiness of the study. The above research design showed the strengths and weaknesses of information provided in Iranian textbooks on natural hazards and disasters management. Iran is a disaster-prone country and various natural hazards happen in Iran every year including earthquake, flood, drought, and extreme weather. Children are a vulnerable population in disasters. One of the most important issues for children's health is disaster preparedness. Intersection of age with other social determinants such as disability, gender, and ethnicity can increase vulnerability. This method was recommended to researchers investigating representation of natural hazards in textbooks of children in different countries, grades, and textbooks. Furthermore, it is possible to use this method for a comparative analysis of information in two or more countries, or different school years in a country.•Explicit and implicit information on natural hazards in textbooks could be investigated with qualitative content analysis.•This method could facilitate cross-country comparisons by providing a framework to investigate the content of textbooks for children without disabilities and/or with disabilities.•It is a valuable method for evaluation of disaster programs for children in local, national, and global levels.
Seddighi et al. (Fri,) studied this question.