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S1 Data -

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NIAID Data Ecosystem2026-05-01 收录
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https://figshare.com/articles/dataset/S1_Data_-/22570638
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资源简介:
Psychologically unsustainability stems from the disconnection of humans from the natural environment. Signs of this disconnection have led to the creation of variables generally called “Nature Connectedness” (NC) to measure this relationship. This study is a type of quantitative research, and the method used was a survey. It aimed to investigate the construct validity and reliability of the Nature Relatedness (NR) scale, determine the factors and items constructing, and the variables influencing the NR scale in the Persian context. The NR scale is one of the most used measures in this field and is measured with three factors: Self, Perspective, and Experience. The subjects consisted of 296 students who studied at Shiraz University, School of Agriculture. Based on the construct validity and reliability analysis, the factors and items making up the NR scale were declared valid and reliable (Cronbach’s alpha = 0.86, RMSEA = 0.05). Thus, in this study we deliver one scale for NR which according to validity and reliability indices is appropriate and could be used in future research. SMC values of the observed variables resulting from structural equation modeling showed considerable values. Overall, regression analysis could explain nearly fifty percent in changes of the NR scale through two variables of mindfulness and pro-environmental behaviors. The findings of this research can provide theoretical and practical implications for developing the NR construct. Our findings encourage policies that pay more attention to environmental plans and urban design that promote NC among communities.

心理层面的不可持续性源于人类与自然环境的脱离。针对这种脱离的相关表征,学界已构建出一类通常被称为“自然联结性(Nature Connectedness,NC)”的变量,用于量化评估人类与自然的关系。本研究为定量研究,采用问卷调查法开展,旨在探究波斯语语境下自然亲近量表(Nature Relatedness,NR)的结构效度与信度,明确其构成维度与条目,并识别影响该量表得分的相关变量。自然亲近量表是该领域应用最广泛的测评工具之一,其维度划分为自我(Self)、视角(Perspective)与体验(Experience)三个因子。本研究的受试对象为设拉子大学农学院的296名学生。经结构效度与信度分析,构成该量表的维度与条目均表现出良好的效度与信度(克朗巴赫α系数=0.86,近似误差均方根RMSEA=0.05)。综上,本研究构建的自然亲近量表经效度与信度指标验证表现优异,可应用于后续相关研究。结构方程模型分析得到的观测变量平方多元相关系数(Squared Multiple Correlations,SMC)值均处于较高水平。整体而言,回归分析结果显示,正念与亲环境行为两个变量可解释自然亲近量表得分近50%的变异量。本研究结果可为自然亲近构念的发展提供理论与实践层面的启示。本研究结果呼吁制定更多关注环境规划与城市设计的政策,以提升社会群体的自然联结性。
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2023-04-06
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