潛變量建模的貝葉斯方法
發(fā)布時間：2018-11-03 19:04
【摘要】：貝葉斯統(tǒng)計是統(tǒng)計學的兩大流派之一,近年來貝葉斯統(tǒng)計在社會及行為科學領域日益流行。鑒于國內(nèi)心理學界對貝葉斯統(tǒng)計應用仍不廣泛,本文嘗試從非技術(shù)性的角度對貝葉斯統(tǒng)計用于潛變量建模的過程進行簡要介紹。主要涉及貝葉斯與頻率論在統(tǒng)計學基本概念上的對比;貝葉斯統(tǒng)計的基本原理和分析過程。最后以一個驗證性因子分析為例,簡要介紹貝葉斯統(tǒng)計用于潛變量建模的分析過程。希望本文能為國內(nèi)心理學者進行潛變量建模提供新的視角。
[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.
【作者單位】： 廣州大學心理系;廣州大學心理測量與潛變量建模研究中心;廣州大學廣東省未成年人心理健康與教育認知神經(jīng)科學實驗室;中國政法大學社會學院;
【基金】：國家自然科學基金(31400904) 廣州大學“創(chuàng)新強校工程”青年創(chuàng)新人才類項目(2014WQNCX069);廣州大學青年拔尖人才培養(yǎng)項目
【分類號】：B841
本文編號：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.
【作者單位】： 廣州大學心理系;廣州大學心理測量與潛變量建模研究中心;廣州大學廣東省未成年人心理健康與教育認知神經(jīng)科學實驗室;中國政法大學社會學院;
【基金】：國家自然科學基金(31400904) 廣州大學“創(chuàng)新強校工程”青年創(chuàng)新人才類項目(2014WQNCX069);廣州大學青年拔尖人才培養(yǎng)項目
【分類號】：B841
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1 張海;黃子杰;;貝葉斯網(wǎng)絡及其在心理領域的應用[J];現(xiàn)代預防醫(yī)學;2007年07期
，本文編號：2308689
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