BehaviourWorks Australia, Monash Sustainable Development Institute, 8 Scenic Boulevard, Monash University, Clayton VIC, 3800, Australia.
J Environ Manage. 2021 Feb 15;280:111695. doi: 10.1016/j.jenvman.2020.111695. Epub 2020 Dec 6.
Over the last decades, a plethora of nature connectedness measures have been developed, including unidimensional scales and others claiming to be multidimensional scales. Recently, Ives et al. (2018) conceptualised connection with nature as five general categories including attachment, cognition/identity, materialistic consumption, experiential components, and spiritual connection to nature. The current research presents a theory-driven approach to scale construction capturing the five factors similar to those described by Ives et al. (2018); the AIMES scale. The scale was developed in cooperation with practitioners and academics working in the field of human-nature interactions and its construct validity was tested with a representative sample of 3090 Victorians. Confirmatory factor analysis reinforced the five-factor model, showing that all factors correlated but were statistically distinct from one another. The second-order factor model also provided support for connection with nature as an overarching variable that can find expression to various degrees in the five primary factors. Finally, we found associations between the AIMES-factors and conceptually related measures of environmental values, environmental behaviours, environmental awareness, and time spent in nature. A short version of the scale is also presented for use in evaluation where brevity is required without compromising reliability and validity.
在过去的几十年里,已经开发出了大量的与自然联系的衡量标准,包括一维尺度和其他声称是多维尺度的衡量标准。最近,Ives 等人(2018 年)将与自然的联系概念化为包括依恋、认知/身份、物质消费、体验成分和与自然的精神联系在内的五个一般类别。目前的研究提出了一种基于理论的量表构建方法,旨在捕捉与 Ives 等人(2018 年)所描述的类似的五个因素;即 AIMES 量表。该量表是与从事人类与自然相互作用领域工作的从业者和学者合作开发的,其结构效度已在 3090 名维多利亚居民的代表性样本中进行了测试。验证性因子分析加强了五因素模型,表明所有因素相互关联,但在统计学上彼此不同。二阶因子模型也为作为一个总体变量的与自然的联系提供了支持,该变量可以在五个主要因素中以不同程度表现出来。最后,我们发现 AIMES 因素与环境价值观、环境行为、环境意识和在自然中度过的时间等概念上相关的衡量标准之间存在关联。还提出了该量表的简短版本,用于需要简洁性而不影响可靠性和有效性的评估。