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Threat, coping and flood prevention - A meta-analysis

机译:威胁,应对和防洪-荟萃分析

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摘要

In order to understand flood preventive intentions and behaviors in individuals, the research literature of the last decades has turned to the Protection Motivation Theory (PMT; Rogers, 1975, 1983) as a prominent framework. Yet a meta-analytical synthesis of these research results is still missing. The present meta analysis combines correlation and regression coefficients reported from 35 single studies using 47 independent samples (N = 35,419). Data analysis shows that threat appraisal (r+ = 0.23) and coping appraisal (r+ = 0.30) are both significantly associated with flood preventive intentions/behaviors. Meta analytical structural equation modeling (MASEM) indicates that flood-related emotions and trust in public institutions qualify as additional predictors, whereas past flood experiences qualify only as an indirect predictor. Overall, the extended PMT model explains 15% of variance in flood preventive intentions/behaviors. In relation to the effect size (ES) variability, meta-analytical ANOVAs confirm a moderating impact of the dependent variable (intention vs. behavior), and of the date of publication (before or after 2012). Implications for future research are discussed. (C) 2017 Published by Elsevier Ltd.
机译:为了了解个人的防洪意图和行为,近几十年来的研究文献已将保护动机理论(PMT; Rogers,1975,1983)作为一个突出的框架。然而,仍缺乏这些研究结果的荟萃分析综合。本荟萃分析结合了使用47个独立样本(N = 35,419)的35项单项研究报告的相关系数和回归系数。数据分析表明,威胁评估(r + = 0.23)和应对评估(r + = 0.30)都与洪水预防意向/行为密切相关。元分析结构方程模型(MASEM)表明,与洪水相关的情绪和对公共机构的信任可以作为额外的预测因子,而过去的洪水经历仅可以作为间接的预测因子。总体而言,扩展的PMT模型可以解释15%的防洪意图/行为。关于效应量(ES)的可变性,荟萃分析方差分析证实了因变量(​​意向与行为)和发布日期(2012年之前或之后)的适度影响。讨论了对未来研究的意义。 (C)2017由Elsevier Ltd.发布

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