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A Novel Anti-Environmental Forest Experience Scale to Predict Preferred Pleasantness Associated with Forest Environments

机译:一种新的抗环境森林经验规模以预测与森林环境相关的优先乐趣

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摘要

In this study, a method for predicting the preferred pleasantness induced by different forest environments, represented by virtual photographs, was proposed and evaluated using a novel Anti-Environmental Forest Experience Scale psychometric test. The evaluation questionnaire contained twenty-one items divided into four different subscales. The factor structure was assessed in two separate samples collected online (sample 1: n = 254, sample 2: n = 280). The internal validity of the four subscales was confirmed using exploratory factor analysis. Discriminant validity was tested and confirmed using the Amoebic Self Scale (spatial–symbolic domain). Concurrent validity was confirmed using the Connectedness to Nature Scale. Predictive validity was based on an assessment of pleasantness induced by nine different photographs (control—urban landscapes, forest landscapes, dense forest landscapes), with subscales differently correlated with the level of pleasantness assessed for each photograph. This evaluation instrument is appropriate for predicting preferred pleasantness induced by different forest environments.
机译:在该研究中,提出了一种预测由虚拟照片所代表的不同森林环境引起的优选愉悦的方法,并使用新的抗环境森林经验规模的心理测量测试评估。评估问卷包含二十一件物品,分为四个不同的分量。在在线收集的两个单独样品中评估因子结构(样品1:n = 254,样品2:n = 280)。使用探索性因子分析确认了四个分量的内部有效性。使用Amoebic自平衡(空间符号域)测试并确认判别有效性。并发有效性使用Connectiny对自然比例确认。预测有效性基于对九个不同照片(控制城市景观,森林景观,浓郁的森林景观)诱导的愉快评估,分量与每张照片评估的愉悦程度不同。该评估仪器适用于预测不同森林环境诱导的优选愉悦。

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