تقويم بنية قلق التغيرات المناخية باستخدام تحليل الشبكات العصبية وعلاقته بالأمل البيئي والسلوكيات الصديقة للبيئة
The study aimed to evaluate the structure of the Climate Change Anxiety structure developed by Clayton and Karazsia (2020) in Egyptian community by using factor analysis and neural network analysis, and its relation to the environmental hope and pro-environmental behaviors. Data were collected from 433 (12.9%% males, and 87.16% females) aged (13-75) years (M=24.59, SD=9.23). Exploratory Factor analysis produced three factors, confirmatory factor analysis showed that the best model fit with data was the four factor model (cognitive impairment, affective impairment, functional impairment, and personal impact anxiety), network analysis showed that the cognitive and functional factors play an important role in formulating climate change anxiety structure, and the degree of climate change anxiety was a moderate while pro-environmental behaviors was high, and the percentage of those who were anxiety about climate change reached (29.1%) in light of the upper quartile and (47.4%) in light of the midpoint score (median). There is statistically significance positive direct effect from climate change anxiety and environmental hope on the pro-environmental behaviors while there are no direct effects from the interaction between the climate change anxiety and the environmental hope on the pro-environmental behaviors. The study recommended the need to pay attention for measuring climate change anxiety as an indicator of individuals’ awareness of climate change, as well as developing environmental hope through holding seminars and programs to raise awareness of the negative consequences of climate change for its constructive role in doing environmentally friendly behaviors’. (Published abstract)