Categorical variable information.
收藏NIAID Data Ecosystem2026-05-10 收录
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https://figshare.com/articles/dataset/Categorical_variable_information_/30221655
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资源简介:
Academics and policymakers have recognized climate change mitigation as a rapidly growing research field, underscoring the urgent need to understand youth perceptions of this critical issue, particularly in vulnerable countries like Bangladesh. This study aims to contribute by exploring how university students perceive climate change mitigation through a mixed-method analysis. Primary data were collected via social surveys (N = 438) covering students from the 1st year to master’s programs, and semi-structured interviews with a subset of students (N = 20). Quantitative data were analyzed using chi-square testing, poisson regression and factor analysis, while qualitative data underwent thematic analysis to provide an in-depth understanding of students’ views. The findings reveal that perceptions of climate change mitigation vary significantly according to socio-demographic factors, such as gender, academic year, and academic discipline, illustrating the nuanced ways these variables influence awareness and attitudes. The mixed-method approach highlights a diverse range of strategies, from advanced technological solutions to grassroots community actions, that students identify as essential to addressing climate change. These are not just insights that deepen our understanding of youth perspectives but also provide recommendations for policymakers and educators. By integrating student views into policy frameworks, the present study provides valuable directions for enhancing climate resilience and promoting environmental sustainability in developing countries like Bangladesh, where climate change risks are remarkably high.
创建时间:
2025-09-26



