[预测自我报告的环境行为的变量模式]。

O Kannapin, K Pawlik, F Zinn
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引用次数: 0

摘要

今天在我们的环境中观察到的许多变化可以追溯到人类的活动。除了对可能的预测变量进行描述性阐述外,环境行为的心理分析还旨在确定关键变量以及这些变量与行为之间的结构关系。需要确定适合预测环境行为的变量。在这项研究中,分别从城市和农村抽取了215名受试者;另外85个科目被认为与环境密切相关。因此,本研究的总样本人口包括515名受试者。对所有被试进行信息获取、价值观、控制点、责任归因和环境威胁的量表。加德纳和斯特恩(Gardner and Stern, 1996)提出的一种修正版的保护动机理论作为参考模型。同时回归分析显示,专门针对环境行为领域的尺度非常适合解释环境行动,特别是在高度投入的人群中(R2 = .58)。与其他两组相比,在这一组中,环境特定信息的获取是一个强有力的预测因素。在这些回归分析的基础上,有人认为,在对环境问题没有特别参与的群体中,必须考虑到其他预测因素——以及本研究中使用的预测因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[The pattern of variables predicting self-reported environmental behavior].

Many of the changes observed in our environment today may be traced back to human action. In addition to a descriptive elaboration of possible predictor variables, the psychological analysis of environmental behavior is directed towards the identification of key variables and the structural relationships among these and behavior. Variables that are suitable to predict environmental behavior need to be identified. In this study, 215 subjects each were drawn from an urban and a rural sample; 85 further subjects were considered to be highly environmentally engaged. Thus the total sample population for this study included 515 subjects. Scales on acquisition of information, values, locus of control, attribution of responsibility, and environmental threat were administered to all subjects. A modified version of the protection-motivation theory formulated by Gardner and Stern (1996) served as a reference model. Simultaneous regression analysis revealed that scales specifically directed to the domain of environmental behavior are well suited to explain environmental actions, especially in the subset of highly engaged persons (R2 = .58). In contrast to both other groups, the acquisition of environmentally specific information was a strong predictor in this group. On the basis of these regression analyses, it is argued that additional predictors--along with the ones used in this study--must be taken into account in groups that do not display extraordinary engagement in environmental matters.

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