浅析结构方程模型在决策优化中的适用

发布时间：2018-02-24 15:19

  本文关键词： 结构方程模型 决策优化 因果关系 假设—检验　出处：《长白学刊》2017年03期 　论文类型：期刊论文

【摘要】：结构方程模型是当前应用较为广泛的一种验证性统计分析工具,与传统回归分析相比,结构方程模型具有显著优势。决策优化的基本逻辑与结构方程模型的基本思想和执行过程存在很密切的耦合关系,结构方程模型比较适合应用到决策优化的研究和实践过程中。当然,结构方程模型是一种验证性的统计方法,不能根据所给数据自动输出模型,需要决策者首先构建假设模型,因此,在具体的适用过程中,要通过合理的调研设计,使获取的数据符合基本假设,要充分认识决策问题的特殊性,确保假设模型的合理性。
[Abstract]:Structural equation model is a widely used tool for confirmatory statistical analysis, which is compared with traditional regression analysis. The structural equation model has significant advantages. The basic logic of decision optimization is closely coupled with the basic idea and execution process of the structural equation model. The structural equation model is more suitable for the research and practice of decision optimization. Of course, the structural equation model is a kind of confirmatory statistical method, which can not automatically output the model according to the given data, so it is necessary for the decision-maker to construct the hypothesis model first. Therefore, in the concrete application process, we should make the obtained data accord with the basic assumptions through reasonable investigation and design, fully understand the particularity of the decision making problem, and ensure the rationality of the hypothesis model.
【作者单位】： 北京化工大学信息科学与技术学院;西南交通大学马克思主义学院;
【基金】：吉林省社科基金一般项目“大数据背景下地方政府突发事件传播与管控机制研究”(2016B103)的阶段性成果
【分类号】：C934
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本文编号：1530743