潜变量建模的贝叶斯方法
发布时间：2018-11-03 19:04
【摘要】：贝叶斯统计是统计学的两大流派之一,近年来贝叶斯统计在社会及行为科学领域日益流行。鉴于国内心理学界对贝叶斯统计应用仍不广泛,本文尝试从非技术性的角度对贝叶斯统计用于潜变量建模的过程进行简要介绍。主要涉及贝叶斯与频率论在统计学基本概念上的对比;贝叶斯统计的基本原理和分析过程。最后以一个验证性因子分析为例,简要介绍贝叶斯统计用于潜变量建模的分析过程。希望本文能为国内心理学者进行潜变量建模提供新的视角。
[Abstract]:Bayesian statistics is one of the two major schools of statistics. In recent years, Bayesian statistics has become increasingly popular in the field of social and behavioral science. In view of the fact that Bayesian statistics is still not widely used in the field of psychology in China, this paper attempts to briefly introduce the process of using Bayesian statistics in latent variable modeling from a non-technical point of view. This paper mainly deals with the comparison between Bayesian theory and frequency theory on the basic concepts of statistics, the basic principle and analysis process of Bayesian statistics. Finally, taking a confirmatory factor analysis as an example, this paper briefly introduces the analysis process of Bayesian statistics used in latent variable modeling. It is hoped that this paper can provide a new perspective for domestic psychologists to model latent variables.
【作者单位】： 广州大学心理系;广州大学心理测量与潜变量建模研究中心;广州大学广东省未成年人心理健康与教育认知神经科学实验室;中国政法大学社会学院;
【基金】：国家自然科学基金(31400904) 广州大学“创新强校工程”青年创新人才类项目(2014WQNCX069);广州大学青年拔尖人才培养项目
【分类号】：B841
本文编号：2308689
[Abstract]:Bayesian statistics is one of the two major schools of statistics. In recent years, Bayesian statistics has become increasingly popular in the field of social and behavioral science. In view of the fact that Bayesian statistics is still not widely used in the field of psychology in China, this paper attempts to briefly introduce the process of using Bayesian statistics in latent variable modeling from a non-technical point of view. This paper mainly deals with the comparison between Bayesian theory and frequency theory on the basic concepts of statistics, the basic principle and analysis process of Bayesian statistics. Finally, taking a confirmatory factor analysis as an example, this paper briefly introduces the analysis process of Bayesian statistics used in latent variable modeling. It is hoped that this paper can provide a new perspective for domestic psychologists to model latent variables.
【作者单位】： 广州大学心理系;广州大学心理测量与潜变量建模研究中心;广州大学广东省未成年人心理健康与教育认知神经科学实验室;中国政法大学社会学院;
【基金】：国家自然科学基金(31400904) 广州大学“创新强校工程”青年创新人才类项目(2014WQNCX069);广州大学青年拔尖人才培养项目
【分类号】：B841
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