心理科学进展2017，Vol.25Issue(10)：1682-1695,14.
潜变量建模的贝叶斯方法
Latent variable modeling using Bayesian methods
摘要
Abstract
Bayesian statistical methods is one of the two statistic schools.Recently,Bayesian statistical methods are becoming ever more popular in social and behavioral research.However,domestic psychological and behavioral scholars are not familiar with it.We provide an untechnical introduction about Bayesian statistics,particularly in Bayesian method used in latent variable modeling.Specifically,first we compared the difference between Bayesian methods and Frequentist methods in several basic concepts.Thereafter,the Bayes' Theorem and its analysis procedure were introduced.Finally,to illustrate Bayesian methods in latent variable modeling (i.e.,confirmatory factor analysis),a concrete sample was presented.In the end of the paper,we briefly discussed the future direction of Bayesian methods in psychology research.关键词
贝叶斯/频率论/潜变量建模/MplusKey words
Bayesian/Frequentist methods/latent variable modeling/Mplus分类
社会科学引用本文复制引用
王孟成,邓俏文,毕向阳..潜变量建模的贝叶斯方法[J].心理科学进展,2017,25(10):1682-1695,14.基金项目
国家自然科学基金(31400904) （31400904）
广州大学“创新强校工程”青年创新人才类项目(2014WQNCX069) （2014WQNCX069）
广州大学青年拔尖人才培养项目. （）
