A New Approach to the Ordered Classification of Critical Factors in the Degradation Processes of River Basins

Antonio Cunha Nunes, F. Mainier, Robson Rosa Branco, C. A. Soares
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Abstract

The aim of this paper is to present through information collected via qualitative analysis in order to provide an alternative perspective to classify critical factors and their correlations in the processes of degradation of river basins in countries in development in an ordered way. This study was started with a bibliographical review for gathering relevant information about the main factors, which was submitted to specialists and related professionals via survey developed in a format of answers on Likert scale, with the analyses of data from the respondents as well as their contribution within sample assembly exploratory factorial analysis and the charge factor item from the questionnaire with usage of polychoric correlation matrix with which it is proposed to establish the ordering of the factors relevance as well as their correlations through parametric statistical analysis with the usage of a generalized model of partial credit which belongs to the family of the models for polyatomic gradual answers to the item response theory (IRT) and the applying of cluster analysis (ICLUST) with the usage of both alpha and omega coefficient for the estimation of the variables group, with the R tool. As a result, the present study aims to establish a comprehension of the main factors for the ordering of the actions and attention of public and private sectors towards the preservation of urban river basins.
流域退化过程关键因子有序分类的新方法
本文的目的是通过定性分析收集的信息来呈现,以便提供另一种视角,以有序的方式对发展中国家河流流域退化过程中的关键因素及其相关性进行分类。本研究从文献综述开始,以收集有关主要因素的相关信息,这些信息通过以李克特量表的答案格式开发的调查提交给专家和相关专业人员。通过对被调查者的数据及其在样本集合中的贡献进行分析,利用多元相关矩阵对问卷中的收费因子项进行探索性析因分析,并利用属于多原子渐进答案模型族的广义部分信用模型,通过参数统计分析建立因子的相关性及其相关性的排序到项目反应理论(IRT)和应用聚类分析(ICLUST),使用α和ω系数对变量组进行估计,并使用R工具。因此,本研究旨在建立对公共和私营部门对城市河流流域保护的行动和关注排序的主要因素的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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