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These resources have been compiled by Claire Harris and Paul Gardner with the support of funding from the St Andrews Research Internship Scheme (2023-2024)

Integrating sustainability concepts into statistics for Psychology is vital for practical application and real-world problem-solving. It enables students to apply statistical methods to issues like psychological factors influencing sustainable behaviours and the impact of environmental stressors on mental health. By analysing data related to climate anxiety, environmental education effectiveness, or resource conservation behaviours, students enhance their statistical skills and deepen their understanding of sustainability. This interdisciplinary approach fosters collaboration, prompting psychology students to consider the broader implications of their research and develop comprehensive solutions to sustainability challenges. Additionally, it generates exposure for new research avenues.

Aligning psychology education with global sustainability priorities ensures graduates can contribute to sustainable development and environmental stewardship. Incorporating sustainability into psychology statistics resources enhances the curriculum’s relevance and prepares students for meaningful work addressing both environmental and psychological well-being. This alignment promotes a holistic understanding of sustainability issues, empowering students to engage in work that benefits both the planet and human health. The purpose of having a dedicated website is to provide students and educators with accessible resources, up-to-date information, and a platform for sharing research and best practices in integrating sustainability and psychology.

Key Concepts in Integrating Sustainability into Psychology Statistics

  • Understanding psychological factors influencing sustainable behaviours
  • Analysing the impact of environmental stressors on mental health
  • Interdisciplinary collaboration between psychology and sustainability
  • Developing comprehensive solutions to sustainability challenges
  • Generating exposure for new research avenues