首页 | 本学科首页   官方微博 | 高级检索  
     

贝叶斯统计方法的应用与现状
引用本文:李贵玉1,顾 昕2. 贝叶斯统计方法的应用与现状[J]. 心理学探新, 2021, 0(5): 466-473
作者姓名:李贵玉1  顾 昕2
作者单位:(1.华东师范大学课程与教学研究所,上海 200062; 2.华东师范大学教育心理学系,上海 200062)
摘    要:贝叶斯统计方法是心理学数据分析的热门方法。研究全面论述贝叶斯方法在心理学领域的应用与方向。现阶段贝叶斯方法以模拟研究为主,应用方向为心理学研究常用的项目反应理论、认知诊断、计算机自适应、结构方程模型。同时,评述发现贝叶斯方法正逐步被国内心理学研究者所接受。最后,文章讨论了当下贝叶斯统计在心理学研究中应用的局限性及可能的原因,建议统计学者开发界面友好的贝叶斯软件,并在心理学课程中加入贝叶斯知识。

关 键 词:贝叶斯统计  先验  后验  回归模型  系统性评述

 Application and Development of Bayesian Statistical Methods
Li Guiyu1,Gu Xin2.  Application and Development of Bayesian Statistical Methods[J]. Exploration of Psychology, 2021, 0(5): 466-473
Authors:Li Guiyu1  Gu Xin2
Affiliation:(1.The Institute of Curriculum & Instruction,East China Normal University,Shanghai 200062; 2.Department of Educational Psychology,East China Normal University,Shanghai 200062)
Abstract:Bayesian statistics has become a popular alternative to the traditional frequentist statistical analysis.This paper comprehensively reviews the application and the direction of the Bayesian methods in psychology.The review shows that the Bayesian articles mainly focus on simulation studies,and the application directions are item response theory,cognitive diagnosis,computer adaptive test,and structural equation models.In addition,it is found that Bayesian statistics is gradually accepted by Chinese scholars in psychology.Finally,this paper discusses the limitations and possible reasons of the application of Bayesian statistics in psychological research,and suggests that there is a need of user-friendly Bayesian software and Bayesian knowledge in psychology courses.
Keywords: Bayesian statistics   prior   posterior   regression model   systematic review
本文献已被 CNKI 等数据库收录!
点击此处可从《心理学探新》浏览原始摘要信息
点击此处可从《心理学探新》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号