Investigation of eco anxiety and climate change hope levels in the context of demographic variables
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
In this study, which examines the relationship between the levels of eco-anxiety and hope towards preventing climate change among adults from a social work perspective, quantitative methods and a relational survey model were used. The research group consists of 514 individuals aged between 18 and 61. The "Eco-Anxiety Scale" and the "Hope Scale for Preventing Climate Change" were used as data collection tools. According to the findings, participants' gender, income status, marital status, education level, place of residence, material or moral impact from climate change, and number of children were predictors of eco-anxiety levels and hope levels towards preventing climate change. Simple Linear Regression Analysis and Pearson Correlation Analysis were conducted between the total scores of the "Eco-Anxiety Scale" and the "Hope Scale for Preventing Climate Change." A statistically significant negative relationship was found between the Eco-Anxiety Scale and the Hope Scale for Preventing Climate Change. It was concluded that as the level of eco-anxiety increases, the hope towards preventing climate change decreases.
Author
Beyza Ağırcan
Institution
How to Cite
Beyza Ağırcan (Master Thesis). Investigation of eco anxiety and climate change hope levels in the context of demographic variables, 2024, İstanbul University-Cerrahpaşa.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from İstanbul University-Cerrahpaşa
- Possible therapeutic effect of MOTS-C in valproic acid induced autism model in rats: Role of tetrahidrobiopterine and brain-derived neurotrophic factor(2024)
- Investigation of the knowledge and attitudes of intensive care nurse towards medical device-related pressure injures(2024)
- Emotion detection using 2-dimensional mode decomposition methods from facial images(2024)
- Evaluation of the efficiency of the nurse follow-up programsupported with web-based education in managing fatigue inpatients with multiple sclerosis(2024)
- Synthesis and characterization of copper(II) complexes of some aminoantipyrine derivatives(2024)
- Motivational interview technique intervention to harmful substances during pregnancy(2024)