five

Results of three multiple regression analyses.

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NIAID Data Ecosystem2026-05-10 收录
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https://figshare.com/articles/dataset/Results_of_three_multiple_regression_analyses_/30544016
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资源简介:
Understanding the determinants of human engagement with the climate and ecological emergency (CEE) will be essential to any future policy design and implementation. The present study (N = 1951) investigates some of the most relevant psychosocial variables associated with environmental policy support and pro-environmental behavioural engagement: descriptive norms, negative affect, perceived self-efficacy and outcome expectancy of pro-environmental actions, personal values and beliefs, risk perception, and political orientation. More specifically, we investigate how these factors predict support or opposition for a range of real UK environmental policies as well as self-reported behaviour reflecting engagement with the issue. We find that negative affect, outcome expectancy, universalism value, and political orientation are key predictors of environmental policy support and/or proxy behavioural engagement. In addition, we find that negative affect partially mediates the relationship between benevolence, universalism, political orientation, and the outcome measures, highlighting emotional responses as a central pathway to psychosocial engagement with the CEE.
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2025-11-05
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