The development of perception scale of gender role in disaster management and the examination with related factors


İNAL ÖNAL E., Soysal S., PAKSOY ERBAYDAR N.

GENDER IN MANAGEMENT, vol.37, no.7, pp.836-857, 2022 (SSCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 37 Issue: 7
  • Publication Date: 2022
  • Doi Number: 10.1108/gm-08-2021-0251
  • Journal Name: GENDER IN MANAGEMENT
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus, ABI/INFORM, Educational research abstracts (ERA), Index Islamicus
  • Page Numbers: pp.836-857
  • Keywords: Disaster management, Gender, Perception, Scale, RISK PERCEPTION, FLOOD RISK, PSYCHOLOGY, BEHAVIOR, SCIENCE, FUTURE, HAZARD, WOMEN
  • Hacettepe University Affiliated: Yes

Abstract

Purpose This study aims to develop a perception scale of gender role in disaster management and examine related factors. Design/methodology/approach A total of 1,167 individuals were reached in the main trial. Exploratory and confirmatory factor analyses were applied to test the validity of the final scale form, respectively. Findings The scale was developed as unidimensional with two positive items and 17 negative items. The mean scores of the participants were in the positive perception group. The 19-item model is a reliable and valid instrument for measuring the perception of gender role specific to disaster management. Practical implications Determining the perceptions of the people will guide the policies related to gender equity and equality and activities to be carried out in the disaster management field. This tool can be used to raise awareness related to gender perceptions in the disaster preparedness activities. Originality/value The "Perception Scale of Gender Role in Disaster Management" which is a reliable and robust tool to determine the perception of gender role specific to the disaster management was developed in this study. This tool can contribute to address the needs and capacities and provide influencive strategy development through gender analysis.